id int64 0 7.97k | query stringlengths 1.23k 1.26k | answer stringclasses 2
values | choices listlengths 2 2 | gold int64 0 1 | text stringlengths 374 399 |
|---|---|---|---|---|---|
0 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -2.607, V2: -0.868, V3: -1.753, V4: -0.186, V5: 0.146, V6: -0.223, V7: 1.194, V8: 0.417, V9: -0.382, V10: -0.999, V11: -1.852, V12: 0.603, V13: 1.190, V14: 0.552, V15: -0.600, V16: 0.366, V17: -0.367, V18: -0.460, V19: 0.300, V20: -0.161, V21: -0.160, V22: -0.544, V23: -0.267, V24: 0.152,... |
1 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -0.685, V2: 0.279, V3: 1.558, V4: -0.801, V5: 0.623, V6: -0.092, V7: 0.379, V8: 0.081, V9: -0.158, V10: -0.956, V11: -0.971, V12: 0.491, V13: 1.316, V14: -0.452, V15: 0.235, V16: 0.454, V17: -0.700, V18: -0.360, V19: 0.069, V20: 0.225, V21: -0.252, V22: -0.892, V23: -0.017, V24: 0.488, V2... |
2 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 2.064, V2: -0.074, V3: -1.492, V4: 0.143, V5: 0.237, V6: -0.777, V7: 0.135, V8: -0.220, V9: 0.394, V10: 0.190, V11: 0.550, V12: 0.743, V13: -0.099, V14: 0.688, V15: 0.093, V16: 0.126, V17: -0.917, V18: 0.606, V19: 0.238, V20: -0.229, V21: 0.264, V22: 0.887, V23: -0.070, V24: -0.460, V25: ... |
3 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 0.183, V2: -2.059, V3: 0.436, V4: 0.413, V5: -1.288, V6: 0.776, V7: -0.178, V8: 0.232, V9: 0.909, V10: -0.559, V11: 0.836, V12: 1.252, V13: -0.002, V14: -0.233, V15: -0.662, V16: -0.054, V17: 0.069, V18: -0.381, V19: 0.361, V20: 0.929, V21: 0.126, V22: -0.512, V23: -0.383, V24: -0.196, V2... |
4 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 0.606, V2: -0.922, V3: -0.246, V4: 0.700, V5: -0.240, V6: 0.333, V7: 0.286, V8: 0.143, V9: 0.014, V10: -0.136, V11: 1.435, V12: 0.666, V13: -1.135, V14: 0.704, V15: 0.004, V16: -0.640, V17: 0.364, V18: -0.866, V19: -0.388, V20: 0.330, V21: 0.199, V22: 0.078, V23: -0.296, V24: -0.224, V25:... |
5 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 1.317, V2: -1.527, V3: -1.281, V4: 0.119, V5: 0.265, V6: 1.901, V7: -0.378, V8: 0.534, V9: 0.896, V10: -0.161, V11: 0.711, V12: 0.983, V13: -0.386, V14: 0.248, V15: 0.074, V16: -0.318, V17: 0.095, V18: -1.324, V19: -0.341, V20: 0.337, V21: -0.175, V22: -0.998, V23: 0.247, V24: -0.963, V25... |
6 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -1.152, V2: -0.217, V3: -0.522, V4: -1.335, V5: -1.407, V6: 1.079, V7: -0.027, V8: 0.780, V9: -1.465, V10: -0.109, V11: -0.550, V12: 0.047, V13: 1.394, V14: 0.058, V15: -0.287, V16: 1.532, V17: 0.012, V18: 0.012, V19: 2.143, V20: 0.173, V21: 0.517, V22: 1.230, V23: -0.092, V24: -1.357, V2... |
7 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 1.607, V2: -0.510, V3: -2.980, V4: 1.148, V5: 1.155, V6: -0.476, V7: 1.248, V8: -0.399, V9: -0.441, V10: 0.458, V11: 0.104, V12: 0.212, V13: -0.851, V14: 1.249, V15: -0.847, V16: -0.388, V17: -0.675, V18: 0.406, V19: 0.173, V20: 0.244, V21: 0.458, V22: 0.826, V23: -0.502, V24: 0.135, V25:... |
8 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -0.873, V2: 2.776, V3: -1.973, V4: 4.780, V5: 0.794, V6: 1.201, V7: -0.715, V8: -1.012, V9: -0.995, V10: 1.464, V11: 0.594, V12: -0.967, V13: -1.368, V14: -2.655, V15: -0.435, V16: 0.900, V17: 2.751, V18: 2.015, V19: 1.015, V20: -0.318, V21: 1.588, V22: -0.543, V23: 0.282, V24: -0.110, V2... |
9 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -1.711, V2: -0.044, V3: -0.830, V4: -0.818, V5: -5.627, V6: 2.396, V7: 6.765, V8: -1.136, V9: -0.900, V10: -1.339, V11: 1.180, V12: -1.298, V13: -2.707, V14: 0.837, V15: 0.025, V16: 0.890, V17: -0.638, V18: 0.221, V19: -0.191, V20: -0.850, V21: -0.281, V22: -0.074, V23: -0.025, V24: 0.635... |
10 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -0.478, V2: 1.171, V3: 0.256, V4: -0.791, V5: 0.498, V6: -0.905, V7: 1.098, V8: -1.369, V9: 0.806, V10: 0.717, V11: -0.878, V12: -0.346, V13: -0.732, V14: -0.289, V15: -0.248, V16: -0.241, V17: -0.556, V18: -0.718, V19: -0.122, V20: 0.140, V21: 0.322, V22: -0.887, V23: 0.149, V24: -0.072,... |
11 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 0.653, V2: -1.453, V3: 0.517, V4: -1.007, V5: -1.555, V6: -0.784, V7: -0.156, V8: -0.214, V9: 1.716, V10: -1.344, V11: -0.184, V12: 1.404, V13: 1.353, V14: -0.408, V15: 1.235, V16: -0.439, V17: -0.138, V18: 0.106, V19: 0.564, V20: 0.650, V21: 0.322, V22: 0.531, V23: -0.402, V24: 0.511, V2... |
12 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -0.318, V2: 0.428, V3: -2.737, V4: -0.365, V5: 0.436, V6: -0.933, V7: 2.322, V8: -0.074, V9: -0.518, V10: -0.417, V11: -1.891, V12: -1.116, V13: -1.861, V14: 1.432, V15: -0.726, V16: -0.476, V17: -0.203, V18: -0.010, V19: -0.209, V20: 0.287, V21: 0.630, V22: 1.389, V23: 0.658, V24: 0.486,... |
13 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -1.146, V2: 1.723, V3: -0.558, V4: 0.249, V5: 0.320, V6: -1.284, V7: 0.246, V8: 0.605, V9: -0.921, V10: -1.439, V11: -0.774, V12: -0.360, V13: -0.091, V14: -0.771, V15: 0.678, V16: 0.813, V17: 1.195, V18: 0.701, V19: -0.022, V20: -0.261, V21: 0.039, V22: -0.185, V23: -0.190, V24: -0.228, ... |
14 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -0.210, V2: 0.305, V3: 0.022, V4: -0.903, V5: -0.215, V6: -0.083, V7: 0.860, V8: -0.358, V9: 0.692, V10: -0.748, V11: -0.719, V12: 0.333, V13: 0.752, V14: 0.120, V15: 2.180, V16: -1.761, V17: 0.628, V18: 0.337, V19: 3.684, V20: 0.140, V21: 0.065, V22: 0.615, V23: -0.020, V24: 0.571, V25: ... |
15 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 1.143, V2: -0.057, V3: 0.794, V4: 0.974, V5: -0.750, V6: -0.451, V7: -0.223, V8: 0.023, V9: 0.638, V10: -0.247, V11: -0.156, V12: 0.522, V13: -0.577, V14: -0.051, V15: -0.144, V16: -0.795, V17: 0.585, V18: -1.138, V19: -0.370, V20: -0.198, V21: -0.030, V22: 0.175, V23: 0.011, V24: 0.657, ... |
16 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 1.272, V2: -0.447, V3: 0.156, V4: -0.519, V5: -0.833, V6: -0.660, V7: -0.625, V8: -0.051, V9: -0.735, V10: 0.108, V11: 0.316, V12: -0.688, V13: 0.175, V14: -1.297, V15: 1.240, V16: 1.328, V17: 1.305, V18: -1.288, V19: -0.060, V20: 0.158, V21: 0.098, V22: 0.154, V23: -0.005, V24: 0.002, V2... |
17 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -0.477, V2: 1.028, V3: 1.685, V4: -0.102, V5: -0.049, V6: -0.691, V7: 0.624, V8: 0.041, V9: -0.744, V10: -0.155, V11: 1.568, V12: 0.976, V13: 0.416, V14: 0.251, V15: 0.078, V16: 0.311, V17: -0.598, V18: 0.014, V19: 0.224, V20: 0.134, V21: -0.157, V22: -0.404, V23: -0.017, V24: 0.530, V25:... |
18 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 1.981, V2: 0.170, V3: -1.764, V4: 0.563, V5: 0.239, V6: -1.428, V7: 0.362, V8: -0.422, V9: 0.470, V10: -0.560, V11: -0.142, V12: 0.458, V13: 0.731, V14: -0.966, V15: 0.879, V16: 0.147, V17: 0.492, V18: 0.373, V19: -0.536, V20: -0.092, V21: 0.225, V22: 0.792, V23: -0.055, V24: -0.064, V25:... |
19 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 1.187, V2: 0.564, V3: 0.586, V4: 2.495, V5: -0.201, V6: -0.626, V7: 0.171, V8: -0.093, V9: -0.667, V10: 0.713, V11: -0.664, V12: -0.565, V13: -0.909, V14: 0.525, V15: 0.563, V16: 0.699, V17: -0.549, V18: -0.345, V19: -0.915, V20: -0.206, V21: -0.180, V22: -0.632, V23: 0.077, V24: 0.332, V... |
20 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 0.309, V2: -0.469, V3: -1.551, V4: -2.051, V5: 1.371, V6: -0.837, V7: 1.781, V8: -1.095, V9: -1.193, V10: 0.877, V11: -1.181, V12: -0.599, V13: 1.553, V14: -0.511, V15: -0.707, V16: 0.564, V17: -0.523, V18: -1.491, V19: 0.627, V20: 0.161, V21: 0.394, V22: 1.538, V23: 0.024, V24: 0.134, V2... |
21 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 2.001, V2: 0.090, V3: -1.981, V4: 1.063, V5: 0.944, V6: -0.178, V7: 0.508, V8: -0.167, V9: -0.018, V10: 0.422, V11: 0.161, V12: 0.716, V13: -0.338, V14: 0.705, V15: -1.168, V16: -0.293, V17: -0.645, V18: 0.152, V19: 0.345, V20: -0.200, V21: 0.066, V22: 0.287, V23: -0.069, V24: 0.196, V25:... |
22 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 2.066, V2: 0.075, V3: -0.926, V4: 0.615, V5: -0.045, V6: -1.153, V7: 0.105, V8: -0.425, V9: 1.799, V10: -0.303, V11: 0.224, V12: -1.974, V13: 1.895, V14: 1.672, V15: -0.717, V16: -0.138, V17: 0.428, V18: -0.614, V19: -0.052, V20: -0.255, V21: -0.439, V22: -0.873, V23: 0.348, V24: -0.035, ... |
23 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -0.357, V2: 1.060, V3: 1.408, V4: 0.148, V5: -0.244, V6: -1.201, V7: 0.628, V8: -0.021, V9: -0.223, V10: -0.473, V11: -0.138, V12: -0.653, V13: -1.221, V14: -0.155, V15: 1.010, V16: 0.347, V17: 0.200, V18: -0.089, V19: -0.205, V20: 0.014, V21: -0.259, V22: -0.734, V23: 0.034, V24: 0.626, ... |
24 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -0.516, V2: 0.504, V3: 0.916, V4: -1.251, V5: 2.634, V6: 4.190, V7: -0.094, V8: 0.842, V9: 1.359, V10: -1.127, V11: 1.022, V12: -2.601, V13: 1.488, V14: 1.451, V15: 1.022, V16: -0.345, V17: 0.211, V18: 0.404, V19: 0.415, V20: 0.156, V21: -0.307, V22: -0.563, V23: -0.246, V24: 0.597, V25: ... |
25 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 1.306, V2: -1.468, V3: 1.208, V4: -2.248, V5: -2.271, V6: -0.433, V7: -1.428, V8: 0.099, V9: 2.239, V10: -1.070, V11: -1.172, V12: 1.006, V13: 0.021, V14: -0.972, V15: -0.212, V16: -2.989, V17: 0.832, V18: 1.432, V19: 0.774, V20: -0.509, V21: -0.372, V22: -0.039, V23: -0.084, V24: 0.408, ... |
26 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 0.054, V2: 0.508, V3: -0.259, V4: -0.129, V5: -0.181, V6: 0.201, V7: -0.304, V8: 0.673, V9: 0.587, V10: -1.267, V11: 0.414, V12: 1.187, V13: 0.410, V14: -1.647, V15: -2.114, V16: 0.487, V17: 0.667, V18: 0.984, V19: -0.171, V20: -0.173, V21: 0.356, V22: 1.209, V23: 0.073, V24: 0.758, V25: ... |
27 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -1.579, V2: 2.343, V3: -1.832, V4: -1.169, V5: 0.277, V6: -1.960, V7: 0.981, V8: 0.376, V9: -0.009, V10: 0.305, V11: -1.070, V12: 0.352, V13: 0.041, V14: 1.033, V15: -0.224, V16: -0.522, V17: -0.106, V18: -0.401, V19: -0.269, V20: 0.222, V21: 0.213, V22: 0.839, V23: -0.081, V24: 0.088, V2... |
28 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -0.338, V2: 1.069, V3: 1.276, V4: 0.070, V5: -0.059, V6: -1.007, V7: 0.646, V8: -0.019, V9: -0.249, V10: -0.483, V11: -0.375, V12: -0.591, V13: -0.846, V14: -0.238, V15: 0.999, V16: 0.427, V17: 0.064, V18: -0.021, V19: -0.085, V20: 0.049, V21: -0.276, V22: -0.768, V23: -0.006, V24: 0.308,... |
29 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -6.608, V2: -5.734, V3: -2.747, V4: 1.060, V5: 1.152, V6: -1.144, V7: 0.597, V8: 0.584, V9: 0.083, V10: -1.979, V11: 0.230, V12: 0.335, V13: -0.702, V14: -0.534, V15: -0.553, V16: 1.183, V17: 0.996, V18: 1.204, V19: 0.410, V20: 0.259, V21: -0.132, V22: -1.172, V23: -1.442, V24: 0.266, V25... |
30 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -3.197, V2: -3.939, V3: -4.237, V4: -0.736, V5: -14.163, V6: 8.529, V7: 15.470, V8: -2.636, V9: -2.385, V10: -2.352, V11: 1.674, V12: -1.106, V13: 0.564, V14: -0.646, V15: -0.859, V16: 1.899, V17: -0.310, V18: -1.081, V19: -0.231, V20: 0.790, V21: 0.127, V22: 1.130, V23: 2.410, V24: 0.136... |
31 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 0.777, V2: -0.843, V3: 1.040, V4: 0.553, V5: -1.181, V6: 0.163, V7: -0.608, V8: 0.155, V9: 0.416, V10: -0.057, V11: 1.085, V12: 1.025, V13: 0.811, V14: -0.106, V15: 0.900, V16: 1.149, V17: -1.078, V18: 0.982, V19: -0.239, V20: 0.413, V21: 0.381, V22: 0.672, V23: -0.272, V24: 0.089, V25: 0... |
32 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 1.977, V2: -0.168, V3: -0.894, V4: 0.129, V5: -0.249, V6: -0.384, V7: -0.549, V8: 0.092, V9: 1.053, V10: -0.544, V11: 0.977, V12: 0.842, V13: -0.031, V14: -1.106, V15: 0.185, V16: 0.863, V17: 0.114, V18: 0.805, V19: 0.218, V20: -0.171, V21: -0.233, V22: -0.527, V23: 0.319, V24: -0.599, V2... |
33 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -3.382, V2: 1.913, V3: 0.006, V4: 0.854, V5: -0.526, V6: 0.395, V7: -0.075, V8: 0.742, V9: 0.043, V10: 0.296, V11: 0.923, V12: 0.365, V13: -0.409, V14: -0.811, V15: 0.436, V16: 0.696, V17: 0.716, V18: 1.142, V19: 0.831, V20: -0.410, V21: -0.204, V22: -0.795, V23: -0.132, V24: 0.606, V25: ... |
34 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -0.440, V2: 1.500, V3: -0.955, V4: -0.144, V5: 0.440, V6: -1.373, V7: 0.676, V8: 0.065, V9: -0.119, V10: -0.840, V11: -0.469, V12: 0.222, V13: 0.621, V14: -0.814, V15: 0.656, V16: 0.069, V17: 0.693, V18: 0.596, V19: -0.285, V20: -0.093, V21: 0.340, V22: 1.061, V23: -0.110, V24: -0.073, V2... |
35 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -2.830, V2: -3.503, V3: -0.090, V4: -1.601, V5: -2.671, V6: 1.684, V7: 4.088, V8: -0.328, V9: -1.437, V10: -1.575, V11: -1.803, V12: -0.797, V13: 1.277, V14: -0.772, V15: -0.947, V16: 1.522, V17: -0.295, V18: -1.149, V19: 0.398, V20: 2.827, V21: 0.468, V22: -0.896, V23: 2.517, V24: -1.220... |
36 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 1.302, V2: 0.149, V3: -0.107, V4: 0.247, V5: 0.391, V6: 0.283, V7: -0.029, V8: 0.015, V9: 0.120, V10: -0.114, V11: -1.227, V12: 0.051, V13: 0.650, V14: 0.164, V15: 1.375, V16: 0.414, V17: -0.659, V18: -0.547, V19: 0.047, V20: -0.058, V21: -0.316, V22: -0.883, V23: -0.015, V24: -1.330, V25... |
37 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 1.421, V2: -0.504, V3: -0.182, V4: -0.663, V5: -0.792, V6: -0.721, V7: -0.749, V8: -0.004, V9: -0.332, V10: 0.231, V11: -1.036, V12: -2.240, V13: -1.900, V14: -0.936, V15: 1.290, V16: 1.966, V17: 0.850, V18: -0.297, V19: 0.638, V20: 0.022, V21: -0.025, V22: -0.283, V23: -0.090, V24: -0.60... |
38 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 0.987, V2: -0.007, V3: -0.286, V4: 1.290, V5: 0.013, V6: -0.676, V7: 0.565, V8: -0.178, V9: -0.186, V10: 0.033, V11: -0.349, V12: -0.331, V13: -1.153, V14: 0.847, V15: 1.037, V16: -0.397, V17: 0.021, V18: -0.660, V19: -0.698, V20: -0.007, V21: 0.092, V22: 0.012, V23: -0.210, V24: 0.069, V... |
39 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 1.250, V2: -1.482, V3: 0.095, V4: -1.600, V5: -1.140, V6: 0.289, V7: -1.032, V8: 0.128, V9: -1.964, V10: 1.507, V11: 0.675, V12: -0.655, V13: -0.066, V14: 0.023, V15: 0.371, V16: -0.073, V17: 0.234, V18: 0.181, V19: 0.050, V20: -0.118, V21: -0.363, V22: -1.010, V23: 0.030, V24: -0.889, V2... |
40 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -0.999, V2: 1.004, V3: 1.762, V4: -0.424, V5: 0.412, V6: -1.115, V7: 0.814, V8: -0.144, V9: -0.570, V10: -0.945, V11: -0.270, V12: -0.050, V13: 0.164, V14: -0.483, V15: 0.512, V16: 0.622, V17: -0.240, V18: -0.224, V19: -0.701, V20: -0.082, V21: -0.220, V22: -0.799, V23: -0.193, V24: 0.334... |
41 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -0.342, V2: 1.082, V3: 1.283, V4: 0.069, V5: -0.026, V6: -1.005, V7: 0.658, V8: -0.034, V9: -0.290, V10: -0.490, V11: -0.328, V12: -0.444, V13: -0.570, V14: -0.292, V15: 0.969, V16: 0.414, V17: 0.048, V18: -0.055, V19: -0.086, V20: 0.067, V21: -0.272, V22: -0.746, V23: -0.009, V24: 0.316,... |
42 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 2.182, V2: -0.693, V3: -1.480, V4: -0.365, V5: -0.327, V6: -0.709, V7: -0.287, V8: -0.288, V9: -0.093, V10: 0.750, V11: -1.857, V12: -0.374, V13: -0.059, V14: 0.185, V15: 0.144, V16: -1.675, V17: -0.304, V18: 1.437, V19: -0.524, V20: -0.629, V21: -0.248, V22: -0.060, V23: 0.002, V24: -0.7... |
43 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -6.662, V2: -6.354, V3: 1.656, V4: -0.282, V5: 1.470, V6: -0.893, V7: 0.810, V8: -1.415, V9: 1.560, V10: 2.670, V11: 1.215, V12: -0.564, V13: -0.058, V14: -2.647, V15: -0.981, V16: 1.389, V17: -0.794, V18: -1.189, V19: 1.467, V20: -2.876, V21: -1.748, V22: 0.823, V23: 2.358, V24: 0.125, V... |
44 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -1.401, V2: 1.417, V3: 1.188, V4: 1.560, V5: -0.633, V6: 0.204, V7: -0.095, V8: 0.762, V9: -3.176, V10: 0.678, V11: -0.681, V12: 0.326, V13: 1.805, V14: 0.472, V15: 0.556, V16: -1.397, V17: 0.490, V18: 0.766, V19: -1.251, V20: -0.551, V21: -0.156, V22: -0.239, V23: -0.149, V24: 0.084, V25... |
45 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -0.514, V2: 0.931, V3: 1.666, V4: 0.011, V5: -0.037, V6: -0.649, V7: 0.586, V8: 0.074, V9: -0.367, V10: -0.344, V11: 0.056, V12: -0.034, V13: -0.383, V14: 0.260, V15: 1.115, V16: -0.174, V17: 0.024, V18: -0.864, V19: -0.465, V20: 0.048, V21: -0.178, V22: -0.451, V23: 0.065, V24: 0.371, V2... |
46 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -0.194, V2: -1.808, V3: -0.551, V4: 1.679, V5: -0.586, V6: -0.099, V7: 1.189, V8: -0.238, V9: -0.683, V10: -0.146, V11: 1.860, V12: 1.493, V13: 0.780, V14: 0.701, V15: 0.270, V16: -0.143, V17: -0.297, V18: -0.293, V19: -0.710, V20: 1.294, V21: 0.494, V22: -0.083, V23: -0.674, V24: 0.277, ... |
47 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 1.411, V2: -0.667, V3: -0.909, V4: -1.621, V5: 1.463, V6: 3.273, V7: -1.177, V8: 0.712, V9: 0.361, V10: 0.284, V11: 1.009, V12: -3.174, V13: 1.868, V14: 1.411, V15: 0.259, V16: 1.533, V17: 0.446, V18: -0.867, V19: 0.768, V20: 0.211, V21: -0.281, V22: -0.896, V23: 0.086, V24: 0.920, V25: 0... |
48 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 1.044, V2: -0.150, V3: 0.931, V4: 1.452, V5: -0.516, V6: 0.613, V7: -0.474, V8: 0.323, V9: 0.630, V10: -0.090, V11: 0.821, V12: 1.284, V13: -0.429, V14: -0.165, V15: -1.387, V16: -0.614, V17: 0.195, V18: -0.373, V19: 0.031, V20: -0.163, V21: -0.025, V22: 0.221, V23: -0.097, V24: 0.051, V2... |
49 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -1.228, V2: 1.711, V3: -1.123, V4: 0.429, V5: 0.783, V6: -1.130, V7: 1.811, V8: -0.792, V9: -0.061, V10: 1.234, V11: -0.672, V12: 0.134, V13: 0.434, V14: 0.205, V15: 0.073, V16: -0.739, V17: -0.465, V18: -0.480, V19: -0.199, V20: -0.274, V21: 0.209, V22: 0.809, V23: -0.032, V24: 0.001, V2... |
50 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -1.020, V2: -0.502, V3: 1.552, V4: -2.427, V5: 0.656, V6: -0.066, V7: -0.077, V8: 0.118, V9: -1.060, V10: -0.479, V11: -1.527, V12: -0.670, V13: 1.071, V14: -0.793, V15: -0.345, V16: 1.641, V17: -0.447, V18: -1.195, V19: 0.384, V20: 0.398, V21: -0.024, V22: -0.449, V23: -0.124, V24: -0.04... |
51 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 0.770, V2: -1.722, V3: 0.077, V4: -0.688, V5: -1.215, V6: 0.081, V7: -0.540, V8: 0.005, V9: -0.748, V10: 0.642, V11: 0.605, V12: -0.315, V13: 0.194, V14: -0.081, V15: 0.422, V16: 1.858, V17: -0.425, V18: -0.163, V19: 0.832, V20: 0.781, V21: 0.493, V22: 0.575, V23: -0.489, V24: -0.476, V25... |
52 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 1.941, V2: -0.454, V3: -0.352, V4: 0.298, V5: -0.479, V6: 0.194, V7: -0.775, V8: 0.201, V9: 1.186, V10: -0.012, V11: 0.777, V12: 1.191, V13: 0.097, V14: -0.021, V15: -0.144, V16: 0.227, V17: -0.710, V18: 0.622, V19: -0.013, V20: -0.194, V21: 0.245, V22: 0.910, V23: 0.156, V24: 0.730, V25:... |
53 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -2.689, V2: 1.611, V3: 0.084, V4: 1.990, V5: 2.177, V6: 5.097, V7: -1.317, V8: 1.219, V9: -1.415, V10: 0.830, V11: -0.972, V12: -0.329, V13: -0.055, V14: 0.275, V15: -0.124, V16: 1.080, V17: -0.483, V18: 0.207, V19: -1.370, V20: -0.614, V21: 1.012, V22: 0.266, V23: -0.588, V24: 0.718, V25... |
54 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 1.243, V2: -1.420, V3: 0.693, V4: -1.313, V5: -1.927, V6: -0.687, V7: -1.089, V8: -0.026, V9: -1.911, V10: 1.556, V11: 1.325, V12: -0.487, V13: -0.332, V14: 0.003, V15: 0.136, V16: -0.002, V17: 0.295, V18: 0.460, V19: -0.055, V20: -0.155, V21: -0.249, V22: -0.678, V23: 0.109, V24: 0.475, ... |
55 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -3.090, V2: 2.465, V3: 0.043, V4: 1.671, V5: -2.129, V6: 0.600, V7: -1.627, V8: 2.453, V9: 0.319, V10: -0.526, V11: -1.681, V12: 1.951, V13: 1.001, V14: 0.346, V15: -1.625, V16: -1.128, V17: 1.889, V18: -1.046, V19: 1.149, V20: -0.060, V21: -0.223, V22: -0.441, V23: 0.250, V24: 0.091, V25... |
56 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -0.865, V2: -1.319, V3: -1.368, V4: -2.431, V5: 3.060, V6: 0.097, V7: 0.885, V8: -0.116, V9: -1.829, V10: 0.320, V11: 0.763, V12: -0.258, V13: -0.018, V14: 0.365, V15: -1.183, V16: -0.308, V17: 0.415, V18: -2.230, V19: -0.487, V20: 0.478, V21: 0.801, V22: 2.018, V23: -0.014, V24: -0.860, ... |
57 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 1.163, V2: 0.129, V3: 0.356, V4: 0.656, V5: -0.582, V6: -0.898, V7: -0.102, V8: 0.022, V9: 0.013, V10: -0.073, V11: 1.526, V12: 0.092, V13: -1.582, V14: 0.262, V15: 0.566, V16: 0.697, V17: -0.085, V18: 0.341, V19: 0.020, V20: -0.148, V21: -0.231, V22: -0.828, V23: 0.146, V24: 0.450, V25: ... |
58 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 1.311, V2: -0.074, V3: -0.494, V4: -0.262, V5: 0.144, V6: -0.330, V7: 0.077, V8: -0.045, V9: -0.007, V10: 0.093, V11: 0.198, V12: -0.169, V13: -1.063, V14: 0.752, V15: 0.368, V16: 0.636, V17: -0.811, V18: 0.395, V19: 0.822, V20: -0.068, V21: -0.110, V22: -0.426, V23: -0.190, V24: -0.799, ... |
59 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 1.516, V2: -1.037, V3: 0.830, V4: -1.325, V5: -1.818, V6: -0.801, V7: -1.255, V8: -0.146, V9: -1.616, V10: 1.427, V11: -0.495, V12: -0.832, V13: 0.731, V14: -0.529, V15: 0.824, V16: -0.156, V17: 0.363, V18: 0.289, V19: -0.438, V20: -0.327, V21: -0.064, V22: 0.256, V23: 0.005, V24: 0.388, ... |
60 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -1.820, V2: -1.565, V3: 2.924, V4: 1.510, V5: 0.326, V6: -0.549, V7: -1.470, V8: 0.367, V9: 1.116, V10: 0.297, V11: 0.458, V12: -0.853, V13: -3.206, V14: 0.009, V15: 0.340, V16: 0.149, V17: -0.210, V18: 1.424, V19: 0.691, V20: -0.252, V21: 0.234, V22: 0.927, V23: -0.299, V24: 0.523, V25: ... |
61 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 1.266, V2: -0.117, V3: 0.474, V4: -0.253, V5: -0.615, V6: -0.522, V7: -0.356, V8: 0.033, V9: 0.239, V10: -0.027, V11: 1.084, V12: 0.521, V13: -0.425, V14: 0.411, V15: 0.634, V16: 0.724, V17: -0.706, V18: 0.250, V19: 0.448, V20: -0.080, V21: -0.111, V22: -0.365, V23: 0.051, V24: 0.046, V25... |
62 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -0.776, V2: 0.601, V3: 2.040, V4: 2.714, V5: -0.064, V6: 1.413, V7: 0.528, V8: 0.482, V9: -1.656, V10: 0.587, V11: 1.518, V12: -0.035, V13: -0.699, V14: 0.618, V15: 1.332, V16: -0.161, V17: 0.272, V18: -0.205, V19: 0.353, V20: 0.404, V21: 0.078, V22: -0.121, V23: 0.409, V24: -0.367, V25: ... |
63 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 1.399, V2: -0.448, V3: 0.473, V4: -0.866, V5: -0.873, V6: -0.536, V7: -0.645, V8: -0.043, V9: -1.055, V10: 0.774, V11: 1.275, V12: 0.193, V13: 0.440, V14: -0.035, V15: 0.106, V16: 1.513, V17: -0.168, V18: -1.015, V19: 1.021, V20: 0.095, V21: -0.066, V22: -0.317, V23: 0.084, V24: -0.016, V... |
64 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 1.218, V2: -0.878, V3: -1.745, V4: -1.601, V5: 1.615, V6: 3.017, V7: -0.758, V8: 0.701, V9: -1.062, V10: 0.243, V11: 0.310, V12: -0.878, V13: 0.147, V14: -0.882, V15: 0.964, V16: 1.716, V17: 0.515, V18: -0.689, V19: 0.803, V20: 0.485, V21: -0.018, V22: -0.579, V23: -0.133, V24: 0.929, V25... |
65 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -1.632, V2: 0.356, V3: 1.859, V4: 0.727, V5: 0.394, V6: 1.912, V7: -0.726, V8: 1.293, V9: -0.368, V10: -0.548, V11: 0.960, V12: 0.884, V13: 0.094, V14: 0.334, V15: 1.166, V16: -0.450, V17: 0.361, V18: -0.240, V19: -0.331, V20: 0.237, V21: 0.244, V22: 0.610, V23: -0.151, V24: -1.375, V25: ... |
66 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 1.303, V2: 1.024, V3: -3.188, V4: 0.468, V5: 3.354, V6: 2.431, V7: 0.185, V8: 0.623, V9: -0.556, V10: -1.486, V11: 1.022, V12: -0.735, V13: -0.335, V14: -3.208, V15: 1.276, V16: 1.370, V17: 2.216, V18: 1.797, V19: -0.464, V20: 0.078, V21: -0.266, V22: -0.823, V23: -0.242, V24: 0.675, V25:... |
67 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -1.855, V2: 1.415, V3: 1.917, V4: 0.758, V5: -1.288, V6: -0.185, V7: -0.730, V8: -0.059, V9: 0.419, V10: -0.512, V11: -1.015, V12: 0.025, V13: -0.981, V14: 0.105, V15: 0.028, V16: 0.031, V17: 0.242, V18: 0.167, V19: -0.119, V20: -0.523, V21: 0.865, V22: -0.072, V23: -0.037, V24: 0.670, V2... |
68 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -0.654, V2: 1.109, V3: 1.438, V4: 0.797, V5: -0.454, V6: -0.290, V7: -0.050, V8: 0.519, V9: -0.192, V10: -0.595, V11: -1.354, V12: -0.600, V13: -0.881, V14: 0.484, V15: 0.979, V16: 0.250, V17: -0.287, V18: 0.770, V19: 0.052, V20: -0.223, V21: 0.315, V22: 0.846, V23: -0.261, V24: 0.017, V2... |
69 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 0.493, V2: -0.554, V3: 0.446, V4: -2.550, V5: -0.582, V6: -0.300, V7: -0.333, V8: -0.109, V9: -1.884, V10: 0.868, V11: -1.264, V12: -0.728, V13: 1.283, V14: -0.834, V15: -0.609, V16: -0.414, V17: 0.198, V18: 0.071, V19: -0.331, V20: -0.307, V21: -0.099, V22: 0.179, V23: 0.048, V24: 0.570,... |
70 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -0.902, V2: 1.015, V3: 0.985, V4: 0.823, V5: 0.095, V6: -0.297, V7: 0.755, V8: -0.092, V9: -0.173, V10: 0.292, V11: -0.415, V12: -0.552, V13: -0.938, V14: 0.412, V15: 1.428, V16: -0.584, V17: 0.111, V18: -0.262, V19: 0.068, V20: -0.123, V21: 0.131, V22: 0.516, V23: -0.167, V24: 0.075, V25... |
71 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 1.942, V2: -0.283, V3: -0.114, V4: 1.717, V5: -0.516, V6: 0.224, V7: -0.826, V8: 0.226, V9: -0.251, V10: 1.324, V11: 0.312, V12: -0.212, V13: -0.730, V14: 0.131, V15: -0.410, V16: 1.812, V17: -1.074, V18: 0.223, V19: -0.833, V20: -0.193, V21: 0.135, V22: 0.320, V23: 0.272, V24: -0.329, V2... |
72 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 1.239, V2: -0.746, V3: 0.230, V4: -0.651, V5: -1.149, V6: -0.979, V7: -0.456, V8: -0.106, V9: -0.998, V10: 0.830, V11: 1.426, V12: -0.498, V13: -1.142, V14: 0.392, V15: 0.079, V16: 1.191, V17: 0.186, V18: -0.801, V19: 0.718, V20: 0.131, V21: 0.304, V22: 0.568, V23: -0.146, V24: 0.541, V25... |
73 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -7.461, V2: 4.990, V3: -3.472, V4: 1.114, V5: -4.141, V6: -1.122, V7: -3.398, V8: 2.879, V9: -0.737, V10: -0.030, V11: -1.621, V12: 1.689, V13: 0.573, V14: 2.937, V15: 0.944, V16: 0.823, V17: 1.609, V18: 0.227, V19: 0.353, V20: -1.979, V21: 1.520, V22: -0.128, V23: 0.566, V24: 0.685, V25:... |
74 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 0.049, V2: 1.155, V3: 0.024, V4: -0.240, V5: 0.993, V6: -0.472, V7: 0.908, V8: -0.285, V9: 1.193, V10: -0.756, V11: -0.087, V12: -2.304, V13: 2.456, V14: 1.696, V15: 0.099, V16: -0.621, V17: 0.238, V18: 0.651, V19: 0.398, V20: 0.082, V21: 0.195, V22: 1.104, V23: -0.254, V24: 0.465, V25: -... |
75 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -0.535, V2: 1.172, V3: 0.652, V4: 0.702, V5: 1.056, V6: 1.361, V7: 0.462, V8: 0.369, V9: -0.267, V10: 0.375, V11: -0.424, V12: 0.358, V13: 0.200, V14: 0.010, V15: -0.358, V16: -0.549, V17: -0.265, V18: 0.343, V19: 1.635, V20: 0.320, V21: -0.130, V22: 0.055, V23: -0.388, V24: -1.685, V25: ... |
76 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -2.813, V2: 2.396, V3: 0.167, V4: -1.322, V5: -0.051, V6: 2.436, V7: -2.660, V8: -7.406, V9: 0.878, V10: 0.093, V11: -0.520, V12: 0.151, V13: -1.441, V14: 0.405, V15: -0.416, V16: 0.858, V17: -0.430, V18: 1.302, V19: -0.002, V20: -1.731, V21: 7.940, V22: -1.768, V23: 0.763, V24: -0.322, V... |
77 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 2.155, V2: -1.450, V3: -1.314, V4: -1.470, V5: -1.219, V6: -1.321, V7: -0.615, V8: -0.484, V9: -1.625, V10: 1.630, V11: -0.772, V12: -0.669, V13: 0.972, V14: -0.223, V15: 0.169, V16: -0.599, V17: 0.367, V18: 0.042, V19: -0.397, V20: -0.223, V21: 0.147, V22: 0.734, V23: -0.016, V24: 0.083,... |
78 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -1.463, V2: 1.134, V3: -1.530, V4: 0.184, V5: 0.006, V6: -1.869, V7: 0.085, V8: 0.353, V9: 0.220, V10: -0.528, V11: -0.330, V12: 0.155, V13: -0.117, V14: -0.407, V15: 0.764, V16: 0.159, V17: 0.898, V18: 0.482, V19: -0.397, V20: -0.821, V21: 0.256, V22: 1.089, V23: 0.536, V24: 0.328, V25: ... |
79 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -2.634, V2: 1.405, V3: 0.629, V4: -0.159, V5: -1.458, V6: -0.292, V7: -0.574, V8: 1.444, V9: 0.143, V10: -0.623, V11: 0.382, V12: 1.881, V13: 0.426, V14: 0.222, V15: -2.359, V16: 0.122, V17: 0.274, V18: -0.114, V19: -0.065, V20: -0.057, V21: 0.046, V22: 0.180, V23: -0.172, V24: 0.613, V25... |
80 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -0.231, V2: 1.628, V3: -0.137, V4: 3.142, V5: 0.908, V6: -0.127, V7: 0.892, V8: 0.390, V9: -2.221, V10: 0.921, V11: 0.115, V12: 0.133, V13: -0.691, V14: 0.939, V15: -2.248, V16: 0.394, V17: -0.432, V18: -0.132, V19: -0.828, V20: -0.349, V21: 0.197, V22: 0.435, V23: -0.014, V24: -0.013, V2... |
81 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -0.956, V2: 0.046, V3: 1.555, V4: -0.862, V5: 0.684, V6: -1.011, V7: 0.238, V8: -0.085, V9: 0.117, V10: -1.264, V11: 0.217, V12: 0.999, V13: 1.291, V14: 0.166, V15: 2.180, V16: -1.473, V17: 0.426, V18: -0.205, V19: 1.317, V20: 0.368, V21: 0.255, V22: 0.737, V23: -0.262, V24: 0.155, V25: 0... |
82 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -1.931, V2: 1.958, V3: 0.256, V4: -1.140, V5: -0.372, V6: -0.585, V7: 0.086, V8: 0.352, V9: 1.380, V10: 0.510, V11: 1.216, V12: 0.436, V13: -0.744, V14: -1.446, V15: -0.095, V16: 0.668, V17: 0.234, V18: 0.753, V19: -0.282, V20: 0.426, V21: -0.276, V22: -0.592, V23: 0.057, V24: -0.158, V25... |
83 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -2.092, V2: -1.965, V3: -1.800, V4: -1.524, V5: 1.019, V6: -0.751, V7: 3.475, V8: -0.786, V9: 0.651, V10: -2.235, V11: -0.348, V12: -2.359, V13: 2.577, V14: 2.092, V15: -0.803, V16: -1.095, V17: 0.417, V18: 0.261, V19: 0.582, V20: 1.751, V21: 0.639, V22: 0.715, V23: 1.095, V24: 0.094, V25... |
84 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -0.934, V2: 0.088, V3: 2.044, V4: -0.714, V5: 0.809, V6: -0.139, V7: 0.066, V8: -0.173, V9: -0.018, V10: -0.416, V11: -0.498, V12: 0.504, V13: 1.566, V14: -0.713, V15: 1.000, V16: -0.150, V17: -0.215, V18: -0.509, V19: 1.281, V20: 0.229, V21: -0.288, V22: -0.581, V23: -0.270, V24: 0.706, ... |
85 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 1.033, V2: 0.116, V3: 0.681, V4: 2.540, V5: -0.080, V6: 0.817, V7: -0.276, V8: 0.348, V9: -0.278, V10: 0.661, V11: 0.429, V12: 0.271, V13: -1.230, V14: 0.238, V15: -1.201, V16: 0.148, V17: -0.177, V18: -0.231, V19: -0.565, V20: -0.192, V21: -0.015, V22: 0.026, V23: -0.118, V24: -0.323, V2... |
86 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 1.308, V2: 0.005, V3: 0.527, V4: 0.124, V5: -0.392, V6: -0.346, V7: -0.435, V8: -0.166, V9: 1.746, V10: -0.528, V11: -0.055, V12: -2.477, V13: 2.252, V14: 1.362, V15: 0.607, V16: 0.717, V17: -0.029, V18: 0.391, V19: -0.089, V20: -0.035, V21: -0.119, V22: -0.060, V23: -0.122, V24: -0.417, ... |
87 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 0.906, V2: -0.079, V3: 1.136, V4: 2.395, V5: 0.250, V6: 2.517, V7: -0.852, V8: 0.787, V9: 0.117, V10: 0.284, V11: -0.477, V12: 0.393, V13: 0.127, V14: -0.331, V15: 0.825, V16: -0.483, V17: 0.587, V18: -1.965, V19: -2.198, V20: -0.203, V21: 0.020, V22: 0.286, V23: 0.072, V24: -1.508, V25: ... |
88 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 2.052, V2: 0.085, V3: -1.811, V4: 0.234, V5: 0.600, V6: -0.392, V7: 0.063, V8: -0.059, V9: 0.285, V10: -0.203, V11: 0.832, V12: 0.632, V13: -0.167, V14: -0.626, V15: -0.452, V16: 0.608, V17: 0.127, V18: 0.309, V19: 0.455, V20: -0.148, V21: -0.335, V22: -0.903, V23: 0.293, V24: 0.180, V25:... |
89 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -0.291, V2: 0.328, V3: -0.249, V4: -0.657, V5: 1.153, V6: -0.964, V7: 0.920, V8: -0.267, V9: 0.084, V10: -0.532, V11: -1.514, V12: -0.392, V13: -0.166, V14: 0.341, V15: 0.461, V16: -0.030, V17: -0.820, V18: 0.251, V19: -0.192, V20: -0.287, V21: 0.264, V22: 0.930, V23: 0.047, V24: -0.698, ... |
90 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 0.802, V2: -0.065, V3: 0.768, V4: 0.794, V5: -0.378, V6: 0.237, V7: 0.400, V8: -0.222, V9: 0.827, V10: 0.591, V11: 1.239, V12: 0.446, V13: -1.231, V14: -0.351, V15: -0.658, V16: -0.795, V17: 0.132, V18: -0.339, V19: 0.514, V20: -0.088, V21: -0.007, V22: 0.535, V23: 0.261, V24: 0.237, V25:... |
91 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 1.392, V2: -0.412, V3: 0.582, V4: -0.663, V5: -1.069, V6: -1.014, V7: -0.498, V8: -0.230, V9: -0.862, V10: 0.583, V11: -0.084, V12: -0.189, V13: 0.833, V14: -0.293, V15: 0.714, V16: 1.196, V17: 0.189, V18: -1.663, V19: 0.613, V20: 0.125, V21: -0.085, V22: -0.349, V23: 0.119, V24: 0.385, V... |
92 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -0.723, V2: -0.249, V3: 1.953, V4: -0.806, V5: -0.433, V6: 0.200, V7: 0.094, V8: 0.348, V9: 0.453, V10: -0.958, V11: 1.058, V12: 1.363, V13: 0.095, V14: -0.494, V15: -1.566, V16: -0.121, V17: -0.084, V18: -0.563, V19: -0.321, V20: 0.091, V21: 0.082, V22: 0.254, V23: 0.353, V24: 0.283, V25... |
93 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -0.298, V2: 0.783, V3: -0.164, V4: -0.493, V5: 0.766, V6: -0.289, V7: 0.587, V8: 0.105, V9: 0.215, V10: -0.801, V11: 0.555, V12: -0.485, V13: -2.174, V14: -0.918, V15: -1.278, V16: 0.208, V17: 0.712, V18: 0.780, V19: 0.018, V20: -0.252, V21: 0.125, V22: 0.327, V23: -0.222, V24: 0.615, V25... |
94 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -1.740, V2: -0.910, V3: 2.397, V4: 1.761, V5: -2.178, V6: 3.090, V7: 0.238, V8: -0.245, V9: 2.445, V10: -1.195, V11: 1.352, V12: -1.829, V13: 0.364, V14: 0.638, V15: -1.991, V16: -0.961, V17: 1.608, V18: 0.380, V19: 0.247, V20: -0.365, V21: 0.829, V22: 0.877, V23: 0.163, V24: -0.277, V25:... |
95 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 0.080, V2: 0.470, V3: 1.151, V4: -0.477, V5: -0.119, V6: -0.388, V7: 0.318, V8: -0.028, V9: 0.632, V10: -0.879, V11: -1.167, V12: 0.600, V13: 0.985, V14: -0.514, V15: -0.066, V16: 0.095, V17: -0.721, V18: 0.265, V19: -0.382, V20: -0.111, V21: 0.272, V22: 1.018, V23: -0.158, V24: -0.066, V... |
96 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 1.292, V2: 0.355, V3: -0.042, V4: 0.498, V5: 0.101, V6: -0.568, V7: 0.143, V8: -0.202, V9: -0.040, V10: -0.312, V11: -0.672, V12: 0.410, V13: 1.225, V14: -0.504, V15: 1.064, V16: 0.685, V17: -0.359, V18: -0.127, V19: 0.108, V20: 0.026, V21: -0.326, V22: -0.921, V23: 0.005, V24: -0.472, V2... |
97 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: 1.066, V2: -0.635, V3: 1.039, V4: 0.254, V5: -1.149, V6: 0.073, V7: -0.720, V8: 0.228, V9: 1.331, V10: -0.494, V11: -0.723, V12: 0.190, V13: -0.929, V14: -0.337, V15: 0.053, V16: -0.365, V17: 0.477, V18: -0.969, V19: 0.096, V20: -0.060, V21: -0.184, V22: -0.398, V23: 0.074, V24: 0.126, V2... |
98 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -1.810, V2: 2.058, V3: -1.198, V4: -0.596, V5: -0.067, V6: -1.066, V7: 0.278, V8: 0.600, V9: 0.090, V10: 0.768, V11: 0.880, V12: 1.517, V13: 0.985, V14: 0.680, V15: -0.289, V16: -0.249, V17: -0.441, V18: 0.414, V19: 0.151, V20: 0.092, V21: 0.371, V22: 1.546, V23: 0.113, V24: 0.070, V25: -... |
99 | Detect the credit card fraud using the following financial table attributes. Respond with 'yes' or 'no' Therein, the data contains 28 numerical input variables V1, V2, ..., and V28 which are the result of a PCA transformation and 1 input variable Amount which has not been transformed with PCA. The feature 'Amount' is t... | no | [
"no",
"yes"
] | 0 | The client has attributes: V1: -0.717, V2: 0.055, V3: -1.004, V4: 0.372, V5: 2.654, V6: -1.735, V7: 1.274, V8: -0.342, V9: -1.153, V10: -0.037, V11: 0.201, V12: 0.410, V13: -0.427, V14: 1.083, V15: -1.552, V16: -0.609, V17: -0.715, V18: 0.346, V19: -0.089, V20: 0.074, V21: 0.593, V22: 1.467, V23: -0.197, V24: -0.294, V... |
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