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100 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 24.17, A3: 0.875, A4: 2.0, A5: 11.0, A6: 4.0, A7: 4.625, A8: 1.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 520.0, A14: 2001.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 24.17, A3: 0.875, A4: 2.0, A5: 11.0, A6: 4.0, A7: 4.625, A8: 1.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 520.0, A14: 2001.0. |
101 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 21.92, A3: 11.665, A4: 2.0, A5: 4.0, A6: 8.0, A7: 0.085, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 320.0, A14: 6.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 21.92, A3: 11.665, A4: 2.0, A5: 4.0, A6: 8.0, A7: 0.085, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 320.0, A14: 6.0. |
102 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 31.25, A3: 3.75, A4: 2.0, A5: 13.0, A6: 8.0, A7: 0.625, A8: 1.0, A9: 1.0, A10: 9.0, A11: 1.0, A12: 2.0, A13: 181.0, A14: 1.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 0.0, A2: 31.25, A3: 3.75, A4: 2.0, A5: 13.0, A6: 8.0, A7: 0.625, A8: 1.0, A9: 1.0, A10: 9.0, A11: 1.0, A12: 2.0, A13: 181.0, A14: 1.0. |
103 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 18.0, A3: 0.165, A4: 2.0, A5: 11.0, A6: 7.0, A7: 0.21, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 200.0, A14: 41.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 18.0, A3: 0.165, A4: 2.0, A5: 11.0, A6: 7.0, A7: 0.21, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 200.0, A14: 41.0. |
104 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 20.08, A3: 0.25, A4: 2.0, A5: 11.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 200.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 20.08, A3: 0.25, A4: 2.0, A5: 11.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 200.0, A14: 1.0. |
105 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 21.92, A3: 0.5, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 360.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 21.92, A3: 0.5, A4: 2.0, A5: 8.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 360.0, A14: 1.0. |
106 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 48.08, A3: 3.75, A4: 2.0, A5: 3.0, A6: 5.0, A7: 1.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 100.0, A14: 3.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 48.08, A3: 3.75, A4: 2.0, A5: 3.0, A6: 5.0, A7: 1.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 100.0, A14: 3.0. |
107 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 47.0, A3: 13.0, A4: 2.0, A5: 3.0, A6: 5.0, A7: 5.165, A8: 1.0, A9: 1.0, A10: 9.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 0.0, A2: 47.0, A3: 13.0, A4: 2.0, A5: 3.0, A6: 5.0, A7: 5.165, A8: 1.0, A9: 1.0, A10: 9.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0. |
108 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 19.67, A3: 0.375, A4: 2.0, A5: 11.0, A6: 4.0, A7: 2.0, A8: 1.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 80.0, A14: 1.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 19.67, A3: 0.375, A4: 2.0, A5: 11.0, A6: 4.0, A7: 2.0, A8: 1.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 80.0, A14: 1.0. |
109 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 32.0, A3: 1.75, A4: 1.0, A5: 10.0, A6: 8.0, A7: 0.04, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 393.0, A14: 1.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 32.0, A3: 1.75, A4: 1.0, A5: 10.0, A6: 8.0, A7: 0.04, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 393.0, A14: 1.0. |
110 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 31.67, A3: 16.165, A4: 2.0, A5: 2.0, A6: 4.0, A7: 3.0, A8: 1.0, A9: 1.0, A10: 9.0, A11: 0.0, A12: 2.0, A13: 250.0, A14: 731.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 31.67, A3: 16.165, A4: 2.0, A5: 2.0, A6: 4.0, A7: 3.0, A8: 1.0, A9: 1.0, A10: 9.0, A11: 0.0, A12: 2.0, A13: 250.0, A14: 731.0. |
111 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 30.83, A3: 0.0, A4: 2.0, A5: 9.0, A6: 4.0, A7: 1.25, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 202.0, A14: 1.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 30.83, A3: 0.0, A4: 2.0, A5: 9.0, A6: 4.0, A7: 1.25, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 202.0, A14: 1.0. |
112 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 24.5, A3: 1.04, A4: 1.0, A5: 1.0, A6: 1.0, A7: 0.5, A8: 1.0, A9: 1.0, A10: 3.0, A11: 0.0, A12: 2.0, A13: 180.0, A14: 148.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 24.5, A3: 1.04, A4: 1.0, A5: 1.0, A6: 1.0, A7: 0.5, A8: 1.0, A9: 1.0, A10: 3.0, A11: 0.0, A12: 2.0, A13: 180.0, A14: 148.0. |
113 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 34.08, A3: 0.08, A4: 1.0, A5: 7.0, A6: 5.0, A7: 0.04, A8: 1.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 280.0, A14: 2001.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 34.08, A3: 0.08, A4: 1.0, A5: 7.0, A6: 5.0, A7: 0.04, A8: 1.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 280.0, A14: 2001.0. |
114 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 47.67, A3: 0.29, A4: 2.0, A5: 8.0, A6: 5.0, A7: 15.0, A8: 1.0, A9: 1.0, A10: 20.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 15001.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 47.67, A3: 0.29, A4: 2.0, A5: 8.0, A6: 5.0, A7: 15.0, A8: 1.0, A9: 1.0, A10: 20.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 15001.0. |
115 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 57.08, A3: 0.335, A4: 2.0, A5: 3.0, A6: 5.0, A7: 1.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 252.0, A14: 2198.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 57.08, A3: 0.335, A4: 2.0, A5: 3.0, A6: 5.0, A7: 1.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 252.0, A14: 2198.0. |
116 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 22.67, A3: 0.75, A4: 2.0, A5: 3.0, A6: 4.0, A7: 1.585, A8: 0.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 400.0, A14: 10.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 22.67, A3: 0.75, A4: 2.0, A5: 3.0, A6: 4.0, A7: 1.585, A8: 0.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 400.0, A14: 10.0. |
117 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 32.08, A3: 4.0, A4: 2.0, A5: 7.0, A6: 4.0, A7: 2.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 360.0, A14: 1.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 32.08, A3: 4.0, A4: 2.0, A5: 7.0, A6: 4.0, A7: 2.5, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 360.0, A14: 1.0. |
118 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 25.08, A3: 2.54, A4: 1.0, A5: 6.0, A6: 4.0, A7: 0.25, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 370.0, A14: 1.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 0.0, A2: 25.08, A3: 2.54, A4: 1.0, A5: 6.0, A6: 4.0, A7: 0.25, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 370.0, A14: 1.0. |
119 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 19.42, A3: 6.5, A4: 2.0, A5: 9.0, A6: 8.0, A7: 1.46, A8: 1.0, A9: 1.0, A10: 7.0, A11: 0.0, A12: 2.0, A13: 80.0, A14: 2955.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 19.42, A3: 6.5, A4: 2.0, A5: 9.0, A6: 8.0, A7: 1.46, A8: 1.0, A9: 1.0, A10: 7.0, A11: 0.0, A12: 2.0, A13: 80.0, A14: 2955.0. |
120 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 23.92, A3: 1.5, A4: 2.0, A5: 2.0, A6: 8.0, A7: 1.875, A8: 1.0, A9: 1.0, A10: 6.0, A11: 0.0, A12: 2.0, A13: 200.0, A14: 328.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 23.92, A3: 1.5, A4: 2.0, A5: 2.0, A6: 8.0, A7: 1.875, A8: 1.0, A9: 1.0, A10: 6.0, A11: 0.0, A12: 2.0, A13: 200.0, A14: 328.0. |
121 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 28.17, A3: 0.375, A4: 2.0, A5: 11.0, A6: 4.0, A7: 0.585, A8: 1.0, A9: 1.0, A10: 4.0, A11: 0.0, A12: 2.0, A13: 80.0, A14: 1.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 0.0, A2: 28.17, A3: 0.375, A4: 2.0, A5: 11.0, A6: 4.0, A7: 0.585, A8: 1.0, A9: 1.0, A10: 4.0, A11: 0.0, A12: 2.0, A13: 80.0, A14: 1.0. |
122 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 23.58, A3: 0.585, A4: 1.0, A5: 1.0, A6: 1.0, A7: 0.125, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 120.0, A14: 88.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 23.58, A3: 0.585, A4: 1.0, A5: 1.0, A6: 1.0, A7: 0.125, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 120.0, A14: 88.0. |
123 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 24.58, A3: 13.5, A4: 1.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 184.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 24.58, A3: 13.5, A4: 1.0, A5: 1.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 184.0, A14: 1.0. |
124 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 35.75, A3: 2.415, A4: 2.0, A5: 9.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 220.0, A14: 2.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 35.75, A3: 2.415, A4: 2.0, A5: 9.0, A6: 4.0, A7: 0.125, A8: 0.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 220.0, A14: 2.0. |
125 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 30.17, A3: 6.5, A4: 2.0, A5: 13.0, A6: 4.0, A7: 3.125, A8: 1.0, A9: 1.0, A10: 8.0, A11: 0.0, A12: 2.0, A13: 330.0, A14: 1201.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 30.17, A3: 6.5, A4: 2.0, A5: 13.0, A6: 4.0, A7: 3.125, A8: 1.0, A9: 1.0, A10: 8.0, A11: 0.0, A12: 2.0, A13: 330.0, A14: 1201.0. |
126 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 26.33, A3: 13.0, A4: 2.0, A5: 10.0, A6: 2.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 140.0, A14: 1111.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 26.33, A3: 13.0, A4: 2.0, A5: 10.0, A6: 2.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 140.0, A14: 1111.0. |
127 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 20.75, A3: 10.335, A4: 2.0, A5: 13.0, A6: 8.0, A7: 0.335, A8: 1.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 80.0, A14: 51.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 0.0, A2: 20.75, A3: 10.335, A4: 2.0, A5: 13.0, A6: 8.0, A7: 0.335, A8: 1.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 80.0, A14: 51.0. |
128 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 31.58, A3: 0.75, A4: 1.0, A5: 6.0, A6: 4.0, A7: 3.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 320.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 31.58, A3: 0.75, A4: 1.0, A5: 6.0, A6: 4.0, A7: 3.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 320.0, A14: 1.0. |
129 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 23.42, A3: 0.79, A4: 1.0, A5: 11.0, A6: 4.0, A7: 1.5, A8: 1.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 80.0, A14: 401.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 0.0, A2: 23.42, A3: 0.79, A4: 1.0, A5: 11.0, A6: 4.0, A7: 1.5, A8: 1.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 80.0, A14: 401.0. |
130 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 16.08, A3: 0.75, A4: 2.0, A5: 8.0, A6: 4.0, A7: 1.75, A8: 1.0, A9: 1.0, A10: 5.0, A11: 1.0, A12: 2.0, A13: 352.0, A14: 691.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 16.08, A3: 0.75, A4: 2.0, A5: 8.0, A6: 4.0, A7: 1.75, A8: 1.0, A9: 1.0, A10: 5.0, A11: 1.0, A12: 2.0, A13: 352.0, A14: 691.0. |
131 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 26.92, A3: 2.25, A4: 2.0, A5: 3.0, A6: 5.0, A7: 0.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 640.0, A14: 4001.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 26.92, A3: 2.25, A4: 2.0, A5: 3.0, A6: 5.0, A7: 0.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 640.0, A14: 4001.0. |
132 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 41.17, A3: 4.04, A4: 2.0, A5: 13.0, A6: 8.0, A7: 7.0, A8: 1.0, A9: 1.0, A10: 8.0, A11: 0.0, A12: 2.0, A13: 320.0, A14: 1.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 41.17, A3: 4.04, A4: 2.0, A5: 13.0, A6: 8.0, A7: 7.0, A8: 1.0, A9: 1.0, A10: 8.0, A11: 0.0, A12: 2.0, A13: 320.0, A14: 1.0. |
133 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 42.25, A3: 1.75, A4: 1.0, A5: 8.0, A6: 4.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 150.0, A14: 2.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 42.25, A3: 1.75, A4: 1.0, A5: 8.0, A6: 4.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 150.0, A14: 2.0. |
134 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 21.5, A3: 6.0, A4: 2.0, A5: 6.0, A6: 4.0, A7: 2.5, A8: 1.0, A9: 1.0, A10: 3.0, A11: 0.0, A12: 2.0, A13: 80.0, A14: 919.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 0.0, A2: 21.5, A3: 6.0, A4: 2.0, A5: 6.0, A6: 4.0, A7: 2.5, A8: 1.0, A9: 1.0, A10: 3.0, A11: 0.0, A12: 2.0, A13: 80.0, A14: 919.0. |
135 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 20.75, A3: 5.085, A4: 1.0, A5: 5.0, A6: 4.0, A7: 0.29, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 140.0, A14: 185.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 20.75, A3: 5.085, A4: 1.0, A5: 5.0, A6: 4.0, A7: 0.29, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 140.0, A14: 185.0. |
136 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 21.33, A3: 10.5, A4: 2.0, A5: 8.0, A6: 4.0, A7: 3.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 21.33, A3: 10.5, A4: 2.0, A5: 8.0, A6: 4.0, A7: 3.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 1.0. |
137 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 25.67, A3: 0.29, A4: 1.0, A5: 8.0, A6: 4.0, A7: 1.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 160.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 25.67, A3: 0.29, A4: 1.0, A5: 8.0, A6: 4.0, A7: 1.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 160.0, A14: 1.0. |
138 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 28.58, A3: 3.625, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 100.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 28.58, A3: 3.625, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 100.0, A14: 1.0. |
139 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 29.67, A3: 0.75, A4: 1.0, A5: 8.0, A6: 4.0, A7: 0.04, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 240.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 29.67, A3: 0.75, A4: 1.0, A5: 8.0, A6: 4.0, A7: 0.04, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 240.0, A14: 1.0. |
140 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 34.42, A3: 4.25, A4: 2.0, A5: 3.0, A6: 5.0, A7: 3.25, A8: 1.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 274.0, A14: 611.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 34.42, A3: 4.25, A4: 2.0, A5: 3.0, A6: 5.0, A7: 3.25, A8: 1.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 274.0, A14: 611.0. |
141 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 40.0, A3: 6.5, A4: 2.0, A5: 6.0, A6: 5.0, A7: 3.5, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 501.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 40.0, A3: 6.5, A4: 2.0, A5: 6.0, A6: 5.0, A7: 3.5, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 501.0. |
142 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 28.0, A3: 2.0, A4: 2.0, A5: 4.0, A6: 8.0, A7: 4.165, A8: 1.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 181.0, A14: 1.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 28.0, A3: 2.0, A4: 2.0, A5: 4.0, A6: 8.0, A7: 4.165, A8: 1.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 181.0, A14: 1.0. |
143 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 20.17, A3: 8.17, A4: 2.0, A5: 6.0, A6: 4.0, A7: 1.96, A8: 1.0, A9: 1.0, A10: 14.0, A11: 0.0, A12: 2.0, A13: 60.0, A14: 159.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 20.17, A3: 8.17, A4: 2.0, A5: 6.0, A6: 4.0, A7: 1.96, A8: 1.0, A9: 1.0, A10: 14.0, A11: 0.0, A12: 2.0, A13: 60.0, A14: 159.0. |
144 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 27.83, A3: 1.54, A4: 2.0, A5: 9.0, A6: 4.0, A7: 3.75, A8: 1.0, A9: 1.0, A10: 5.0, A11: 1.0, A12: 2.0, A13: 100.0, A14: 4.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 27.83, A3: 1.54, A4: 2.0, A5: 9.0, A6: 4.0, A7: 3.75, A8: 1.0, A9: 1.0, A10: 5.0, A11: 1.0, A12: 2.0, A13: 100.0, A14: 4.0. |
145 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 18.75, A3: 7.5, A4: 2.0, A5: 11.0, A6: 4.0, A7: 2.71, A8: 1.0, A9: 1.0, A10: 5.0, A11: 0.0, A12: 2.0, A13: 184.0, A14: 26727.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 0.0, A2: 18.75, A3: 7.5, A4: 2.0, A5: 11.0, A6: 4.0, A7: 2.71, A8: 1.0, A9: 1.0, A10: 5.0, A11: 0.0, A12: 2.0, A13: 184.0, A14: 26727.0. |
146 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 28.17, A3: 0.585, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.04, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 260.0, A14: 1005.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 28.17, A3: 0.585, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.04, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 260.0, A14: 1005.0. |
147 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 21.83, A3: 1.54, A4: 2.0, A5: 4.0, A6: 4.0, A7: 0.085, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 356.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 21.83, A3: 1.54, A4: 2.0, A5: 4.0, A6: 4.0, A7: 0.085, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 356.0, A14: 1.0. |
148 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 27.67, A3: 0.75, A4: 2.0, A5: 11.0, A6: 8.0, A7: 0.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 220.0, A14: 252.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 27.67, A3: 0.75, A4: 2.0, A5: 11.0, A6: 8.0, A7: 0.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 220.0, A14: 252.0. |
149 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 49.17, A3: 2.29, A4: 2.0, A5: 1.0, A6: 1.0, A7: 0.29, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 200.0, A14: 4.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 49.17, A3: 2.29, A4: 2.0, A5: 1.0, A6: 1.0, A7: 0.29, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 200.0, A14: 4.0. |
150 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 27.75, A3: 0.585, A4: 1.0, A5: 13.0, A6: 4.0, A7: 0.25, A8: 1.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 260.0, A14: 501.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 27.75, A3: 0.585, A4: 1.0, A5: 13.0, A6: 4.0, A7: 0.25, A8: 1.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 260.0, A14: 501.0. |
151 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 23.0, A3: 0.75, A4: 2.0, A5: 7.0, A6: 4.0, A7: 0.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 320.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 23.0, A3: 0.75, A4: 2.0, A5: 7.0, A6: 4.0, A7: 0.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 320.0, A14: 1.0. |
152 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 32.92, A3: 2.5, A4: 2.0, A5: 6.0, A6: 4.0, A7: 1.75, A8: 0.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 720.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 32.92, A3: 2.5, A4: 2.0, A5: 6.0, A6: 4.0, A7: 1.75, A8: 0.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 720.0, A14: 1.0. |
153 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 46.08, A3: 3.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 2.375, A8: 1.0, A9: 1.0, A10: 8.0, A11: 1.0, A12: 2.0, A13: 396.0, A14: 4160.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 0.0, A2: 46.08, A3: 3.0, A4: 2.0, A5: 8.0, A6: 4.0, A7: 2.375, A8: 1.0, A9: 1.0, A10: 8.0, A11: 1.0, A12: 2.0, A13: 396.0, A14: 4160.0. |
154 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 41.5, A3: 1.54, A4: 2.0, A5: 3.0, A6: 5.0, A7: 3.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 216.0, A14: 1.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 41.5, A3: 1.54, A4: 2.0, A5: 3.0, A6: 5.0, A7: 3.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 216.0, A14: 1.0. |
155 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 36.17, A3: 5.5, A4: 2.0, A5: 3.0, A6: 5.0, A7: 5.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 210.0, A14: 688.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 36.17, A3: 5.5, A4: 2.0, A5: 3.0, A6: 5.0, A7: 5.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 210.0, A14: 688.0. |
156 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 24.33, A3: 2.5, A4: 1.0, A5: 3.0, A6: 5.0, A7: 4.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 200.0, A14: 457.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 24.33, A3: 2.5, A4: 1.0, A5: 3.0, A6: 5.0, A7: 4.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 200.0, A14: 457.0. |
157 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 41.42, A3: 5.0, A4: 2.0, A5: 11.0, A6: 8.0, A7: 5.0, A8: 1.0, A9: 1.0, A10: 6.0, A11: 1.0, A12: 2.0, A13: 470.0, A14: 1.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 41.42, A3: 5.0, A4: 2.0, A5: 11.0, A6: 8.0, A7: 5.0, A8: 1.0, A9: 1.0, A10: 6.0, A11: 1.0, A12: 2.0, A13: 470.0, A14: 1.0. |
158 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 33.67, A3: 1.25, A4: 2.0, A5: 9.0, A6: 4.0, A7: 1.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 120.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 33.67, A3: 1.25, A4: 2.0, A5: 9.0, A6: 4.0, A7: 1.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 120.0, A14: 1.0. |
159 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 32.33, A3: 7.5, A4: 2.0, A5: 10.0, A6: 5.0, A7: 1.585, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 420.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 32.33, A3: 7.5, A4: 2.0, A5: 10.0, A6: 5.0, A7: 1.585, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 420.0, A14: 1.0. |
160 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 24.5, A3: 12.75, A4: 2.0, A5: 8.0, A6: 5.0, A7: 4.75, A8: 1.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 73.0, A14: 445.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 0.0, A2: 24.5, A3: 12.75, A4: 2.0, A5: 8.0, A6: 5.0, A7: 4.75, A8: 1.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 73.0, A14: 445.0. |
161 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 59.5, A3: 2.75, A4: 2.0, A5: 9.0, A6: 4.0, A7: 1.75, A8: 1.0, A9: 1.0, A10: 5.0, A11: 1.0, A12: 2.0, A13: 60.0, A14: 59.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 59.5, A3: 2.75, A4: 2.0, A5: 9.0, A6: 4.0, A7: 1.75, A8: 1.0, A9: 1.0, A10: 5.0, A11: 1.0, A12: 2.0, A13: 60.0, A14: 59.0. |
162 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 38.92, A3: 1.75, A4: 2.0, A5: 4.0, A6: 4.0, A7: 0.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 300.0, A14: 3.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 38.92, A3: 1.75, A4: 2.0, A5: 4.0, A6: 4.0, A7: 0.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 300.0, A14: 3.0. |
163 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 47.42, A3: 8.0, A4: 2.0, A5: 10.0, A6: 5.0, A7: 6.5, A8: 1.0, A9: 1.0, A10: 6.0, A11: 0.0, A12: 2.0, A13: 375.0, A14: 51101.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 0.0, A2: 47.42, A3: 8.0, A4: 2.0, A5: 10.0, A6: 5.0, A7: 6.5, A8: 1.0, A9: 1.0, A10: 6.0, A11: 0.0, A12: 2.0, A13: 375.0, A14: 51101.0. |
164 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 58.67, A3: 4.46, A4: 2.0, A5: 11.0, A6: 8.0, A7: 3.04, A8: 1.0, A9: 1.0, A10: 6.0, A11: 0.0, A12: 2.0, A13: 43.0, A14: 561.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 0.0, A2: 58.67, A3: 4.46, A4: 2.0, A5: 11.0, A6: 8.0, A7: 3.04, A8: 1.0, A9: 1.0, A10: 6.0, A11: 0.0, A12: 2.0, A13: 43.0, A14: 561.0. |
165 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 36.17, A3: 0.42, A4: 1.0, A5: 9.0, A6: 4.0, A7: 0.29, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 309.0, A14: 3.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 36.17, A3: 0.42, A4: 1.0, A5: 9.0, A6: 4.0, A7: 0.29, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 309.0, A14: 3.0. |
166 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 22.58, A3: 10.04, A4: 2.0, A5: 14.0, A6: 4.0, A7: 0.04, A8: 1.0, A9: 1.0, A10: 9.0, A11: 0.0, A12: 2.0, A13: 60.0, A14: 397.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 22.58, A3: 10.04, A4: 2.0, A5: 14.0, A6: 4.0, A7: 0.04, A8: 1.0, A9: 1.0, A10: 9.0, A11: 0.0, A12: 2.0, A13: 60.0, A14: 397.0. |
167 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 25.08, A3: 1.71, A4: 2.0, A5: 14.0, A6: 4.0, A7: 1.665, A8: 1.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 395.0, A14: 21.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 25.08, A3: 1.71, A4: 2.0, A5: 14.0, A6: 4.0, A7: 1.665, A8: 1.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 395.0, A14: 21.0. |
168 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 16.25, A3: 0.0, A4: 1.0, A5: 6.0, A6: 4.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 60.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 16.25, A3: 0.0, A4: 1.0, A5: 6.0, A6: 4.0, A7: 0.25, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 60.0, A14: 1.0. |
169 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 33.17, A3: 2.25, A4: 1.0, A5: 13.0, A6: 4.0, A7: 3.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 200.0, A14: 142.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 33.17, A3: 2.25, A4: 1.0, A5: 13.0, A6: 4.0, A7: 3.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 200.0, A14: 142.0. |
170 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 25.33, A3: 2.085, A4: 2.0, A5: 8.0, A6: 8.0, A7: 2.75, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 360.0, A14: 2.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 25.33, A3: 2.085, A4: 2.0, A5: 8.0, A6: 8.0, A7: 2.75, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 360.0, A14: 2.0. |
171 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 22.67, A3: 10.5, A4: 2.0, A5: 11.0, A6: 8.0, A7: 1.335, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 100.0, A14: 1.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 22.67, A3: 10.5, A4: 2.0, A5: 11.0, A6: 8.0, A7: 1.335, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 100.0, A14: 1.0. |
172 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 17.58, A3: 10.0, A4: 2.0, A5: 9.0, A6: 8.0, A7: 0.165, A8: 0.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 120.0, A14: 2.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 17.58, A3: 10.0, A4: 2.0, A5: 9.0, A6: 8.0, A7: 0.165, A8: 0.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 120.0, A14: 2.0. |
173 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 31.57, A3: 4.0, A4: 2.0, A5: 14.0, A6: 4.0, A7: 5.0, A8: 1.0, A9: 1.0, A10: 3.0, A11: 1.0, A12: 2.0, A13: 290.0, A14: 2280.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 31.57, A3: 4.0, A4: 2.0, A5: 14.0, A6: 4.0, A7: 5.0, A8: 1.0, A9: 1.0, A10: 3.0, A11: 1.0, A12: 2.0, A13: 290.0, A14: 2280.0. |
174 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 24.08, A3: 0.5, A4: 2.0, A5: 11.0, A6: 8.0, A7: 1.25, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 679.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 0.0, A2: 24.08, A3: 0.5, A4: 2.0, A5: 11.0, A6: 8.0, A7: 1.25, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 679.0. |
175 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 31.57, A3: 3.0, A4: 1.0, A5: 3.0, A6: 5.0, A7: 7.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 2.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 31.57, A3: 3.0, A4: 1.0, A5: 3.0, A6: 5.0, A7: 7.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 2.0. |
176 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 26.08, A3: 8.665, A4: 2.0, A5: 6.0, A6: 4.0, A7: 1.415, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 160.0, A14: 151.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 0.0, A2: 26.08, A3: 8.665, A4: 2.0, A5: 6.0, A6: 4.0, A7: 1.415, A8: 1.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 160.0, A14: 151.0. |
177 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 20.75, A3: 9.54, A4: 2.0, A5: 3.0, A6: 4.0, A7: 0.04, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 200.0, A14: 1001.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 20.75, A3: 9.54, A4: 2.0, A5: 3.0, A6: 4.0, A7: 0.04, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 200.0, A14: 1001.0. |
178 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 32.42, A3: 3.0, A4: 2.0, A5: 2.0, A6: 4.0, A7: 0.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 120.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 32.42, A3: 3.0, A4: 2.0, A5: 2.0, A6: 4.0, A7: 0.165, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 120.0, A14: 1.0. |
179 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 23.58, A3: 0.83, A4: 2.0, A5: 11.0, A6: 4.0, A7: 0.415, A8: 0.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 200.0, A14: 12.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 23.58, A3: 0.83, A4: 2.0, A5: 11.0, A6: 4.0, A7: 0.415, A8: 0.0, A9: 1.0, A10: 1.0, A11: 1.0, A12: 2.0, A13: 200.0, A14: 12.0. |
180 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 28.17, A3: 0.125, A4: 1.0, A5: 4.0, A6: 4.0, A7: 0.085, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 216.0, A14: 2101.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 28.17, A3: 0.125, A4: 1.0, A5: 4.0, A6: 4.0, A7: 0.085, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 216.0, A14: 2101.0. |
181 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 17.33, A3: 9.5, A4: 2.0, A5: 6.0, A6: 4.0, A7: 1.75, A8: 0.0, A9: 1.0, A10: 10.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 11.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 17.33, A3: 9.5, A4: 2.0, A5: 6.0, A6: 4.0, A7: 1.75, A8: 0.0, A9: 1.0, A10: 10.0, A11: 1.0, A12: 2.0, A13: 0.0, A14: 11.0. |
182 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 27.58, A3: 2.04, A4: 1.0, A5: 6.0, A6: 4.0, A7: 2.0, A8: 1.0, A9: 1.0, A10: 3.0, A11: 1.0, A12: 2.0, A13: 370.0, A14: 561.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 27.58, A3: 2.04, A4: 1.0, A5: 6.0, A6: 4.0, A7: 2.0, A8: 1.0, A9: 1.0, A10: 3.0, A11: 1.0, A12: 2.0, A13: 370.0, A14: 561.0. |
183 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 25.92, A3: 0.875, A4: 2.0, A5: 4.0, A6: 4.0, A7: 0.375, A8: 0.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 174.0, A14: 4.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 25.92, A3: 0.875, A4: 2.0, A5: 4.0, A6: 4.0, A7: 0.375, A8: 0.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 174.0, A14: 4.0. |
184 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 34.17, A3: 5.25, A4: 2.0, A5: 9.0, A6: 4.0, A7: 0.085, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 290.0, A14: 7.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 34.17, A3: 5.25, A4: 2.0, A5: 9.0, A6: 4.0, A7: 0.085, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 290.0, A14: 7.0. |
185 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 33.58, A3: 0.25, A4: 2.0, A5: 3.0, A6: 5.0, A7: 4.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 420.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 33.58, A3: 0.25, A4: 2.0, A5: 3.0, A6: 5.0, A7: 4.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 420.0, A14: 1.0. |
186 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 16.92, A3: 0.335, A4: 1.0, A5: 4.0, A6: 4.0, A7: 0.29, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 200.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 16.92, A3: 0.335, A4: 1.0, A5: 4.0, A6: 4.0, A7: 0.29, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 1.0, A13: 200.0, A14: 1.0. |
187 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 32.08, A3: 4.0, A4: 1.0, A5: 13.0, A6: 4.0, A7: 1.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 120.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 32.08, A3: 4.0, A4: 1.0, A5: 13.0, A6: 4.0, A7: 1.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 120.0, A14: 1.0. |
188 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 22.42, A3: 5.665, A4: 2.0, A5: 11.0, A6: 4.0, A7: 2.585, A8: 1.0, A9: 1.0, A10: 7.0, A11: 0.0, A12: 2.0, A13: 129.0, A14: 3258.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 0.0, A2: 22.42, A3: 5.665, A4: 2.0, A5: 11.0, A6: 4.0, A7: 2.585, A8: 1.0, A9: 1.0, A10: 7.0, A11: 0.0, A12: 2.0, A13: 129.0, A14: 3258.0. |
189 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 25.0, A3: 12.5, A4: 2.0, A5: 6.0, A6: 4.0, A7: 3.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 20.0, A14: 1.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 25.0, A3: 12.5, A4: 2.0, A5: 6.0, A6: 4.0, A7: 3.0, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 1.0, A13: 20.0, A14: 1.0. |
190 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 40.33, A3: 8.125, A4: 1.0, A5: 4.0, A6: 4.0, A7: 0.165, A8: 0.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 184.0, A14: 19.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 40.33, A3: 8.125, A4: 1.0, A5: 4.0, A6: 4.0, A7: 0.165, A8: 0.0, A9: 1.0, A10: 2.0, A11: 0.0, A12: 2.0, A13: 184.0, A14: 19.0. |
191 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 18.17, A3: 2.46, A4: 2.0, A5: 8.0, A6: 7.0, A7: 0.96, A8: 0.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 160.0, A14: 588.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 18.17, A3: 2.46, A4: 2.0, A5: 8.0, A6: 7.0, A7: 0.96, A8: 0.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 160.0, A14: 588.0. |
192 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 17.67, A3: 0.0, A4: 1.0, A5: 5.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 86.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 0.0, A2: 17.67, A3: 0.0, A4: 1.0, A5: 5.0, A6: 1.0, A7: 0.0, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 86.0, A14: 1.0. |
193 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 0.0, A2: 25.0, A3: 12.33, A4: 2.0, A5: 13.0, A6: 8.0, A7: 3.5, A8: 1.0, A9: 1.0, A10: 6.0, A11: 0.0, A12: 2.0, A13: 400.0, A14: 459.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 0.0, A2: 25.0, A3: 12.33, A4: 2.0, A5: 13.0, A6: 8.0, A7: 3.5, A8: 1.0, A9: 1.0, A10: 6.0, A11: 0.0, A12: 2.0, A13: 400.0, A14: 459.0. |
194 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 27.25, A3: 0.625, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.455, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 200.0, A14: 1.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 27.25, A3: 0.625, A4: 2.0, A5: 6.0, A6: 4.0, A7: 0.455, A8: 1.0, A9: 0.0, A10: 0.0, A11: 1.0, A12: 2.0, A13: 200.0, A14: 1.0. |
195 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 25.83, A3: 12.835, A4: 2.0, A5: 13.0, A6: 4.0, A7: 0.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 3.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 25.83, A3: 12.835, A4: 2.0, A5: 13.0, A6: 4.0, A7: 0.5, A8: 0.0, A9: 0.0, A10: 0.0, A11: 0.0, A12: 2.0, A13: 0.0, A14: 3.0. |
196 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 27.0, A3: 0.75, A4: 2.0, A5: 8.0, A6: 8.0, A7: 4.25, A8: 1.0, A9: 1.0, A10: 3.0, A11: 1.0, A12: 2.0, A13: 312.0, A14: 151.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 27.0, A3: 0.75, A4: 2.0, A5: 8.0, A6: 8.0, A7: 4.25, A8: 1.0, A9: 1.0, A10: 3.0, A11: 1.0, A12: 2.0, A13: 312.0, A14: 151.0. |
197 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 39.92, A3: 6.21, A4: 2.0, A5: 11.0, A6: 4.0, A7: 0.04, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 200.0, A14: 301.0.
| good | [
"good",
"bad"
] | 0 | The client has attributes: A1: 1.0, A2: 39.92, A3: 6.21, A4: 2.0, A5: 11.0, A6: 4.0, A7: 0.04, A8: 1.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 200.0, A14: 301.0. |
198 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 19.33, A3: 10.915, A4: 2.0, A5: 8.0, A6: 5.0, A7: 0.585, A8: 0.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 200.0, A14: 8.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 19.33, A3: 10.915, A4: 2.0, A5: 8.0, A6: 5.0, A7: 0.585, A8: 0.0, A9: 1.0, A10: 2.0, A11: 1.0, A12: 2.0, A13: 200.0, A14: 8.0. |
199 | Assess the creditworthiness of a customer using the following table attributes for financial status. Respond with either 'good' or 'bad'. And all the table attribute names including 8 categorical attributes and 6 numerical attributes and values have been changed to meaningless symbols to protect confidentiality of the data. For instance, 'The client has attributes: A1: 0, A2: 21.67, A3: 11.5, A4: 1, A5: 5, A6: 3, A7: 0, A8: 1, A9: 1, A10: 11, A11: 1, A12: 2, A13: 0, A14: 1.', should be classified as 'good'.
Text: The client has attributes: A1: 1.0, A2: 22.0, A3: 0.79, A4: 2.0, A5: 9.0, A6: 4.0, A7: 0.29, A8: 0.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 420.0, A14: 284.0.
| bad | [
"good",
"bad"
] | 1 | The client has attributes: A1: 1.0, A2: 22.0, A3: 0.79, A4: 2.0, A5: 9.0, A6: 4.0, A7: 0.29, A8: 0.0, A9: 1.0, A10: 1.0, A11: 0.0, A12: 2.0, A13: 420.0, A14: 284.0. |