Task
Supervised Classification on creditcard

Supervised Classification on creditcard

Task 145685 Supervised Classification creditcard 350 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, average_cost: 0.1933, f_measure: 0.998, kappa: 0.5369, kb_relative_information_score: -44294.304, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9986, predictive_accuracy: 0.9977, prior_entropy: 0.0184, recall: 0.9977, relative_absolute_error: 0.6692, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.0481, root_relative_squared_error: 1.1575, total_cost: 55049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, average_cost: 0.1321, f_measure: 0.998, kappa: 0.5468, kb_relative_information_score: -59552.8828, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9987, predictive_accuracy: 0.9976, prior_entropy: 0.0184, recall: 0.9976, relative_absolute_error: 0.6925, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.0485, root_relative_squared_error: 1.1683, total_cost: 37616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, average_cost: 0.1044, f_measure: 0.9892, kappa: 0.1408, kb_relative_information_score: -69241466.3756, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9982, predictive_accuracy: 0.9814, prior_entropy: 0.0184, recall: 0.9814, relative_absolute_error: 22.3447, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1412, root_relative_squared_error: 3.4004, total_cost: 29739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, average_cost: 0.1055, f_measure: 0.9923, kappa: 0.1941, kb_relative_information_score: -1508029.9401, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9983, predictive_accuracy: 0.9874, prior_entropy: 0.0184, recall: 0.9874, relative_absolute_error: 3.65, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1123, root_relative_squared_error: 2.7032, total_cost: 30036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, average_cost: 0.1442, f_measure: 0.9867, kappa: 0.11, kb_relative_information_score: -3034689.7283, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9981, predictive_accuracy: 0.9767, prior_entropy: 0.0184, recall: 0.9767, relative_absolute_error: 6.7589, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1528, root_relative_squared_error: 3.6785, total_cost: 41077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, average_cost: 0.1437, f_measure: 0.9842, kappa: 0.0933, kb_relative_information_score: -4143114.5502, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9981, predictive_accuracy: 0.9719, prior_entropy: 0.0184, recall: 0.9719, relative_absolute_error: 8.1784, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1654, root_relative_squared_error: 3.9838, total_cost: 40931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, average_cost: 0.0929, f_measure: 0.9943, kappa: 0.2596, kb_relative_information_score: -1167221.3437, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9984, predictive_accuracy: 0.9912, prior_entropy: 0.0184, recall: 0.9912, relative_absolute_error: 2.481, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.0872, root_relative_squared_error: 2.0995, total_cost: 26456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, average_cost: 0.1433, f_measure: 0.9899, kappa: 0.1441, kb_relative_information_score: -4693550.8378, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9982, predictive_accuracy: 0.9829, prior_entropy: 0.0184, recall: 0.9829, relative_absolute_error: 5.3632, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1255, root_relative_squared_error: 3.0221, total_cost: 40809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, average_cost: 0.1287, f_measure: 0.9979, kappa: 0.5336, kb_relative_information_score: -6629421.6385, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9987, predictive_accuracy: 0.9974, prior_entropy: 0.0184, recall: 0.9974, relative_absolute_error: 3.575, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.0612, root_relative_squared_error: 1.474, total_cost: 36659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, average_cost: 0.1606, f_measure: 0.9836, kappa: 0.0882, kb_relative_information_score: -3865688.056, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9981, predictive_accuracy: 0.9708, prior_entropy: 0.0184, recall: 0.9708, relative_absolute_error: 8.4512, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1708, root_relative_squared_error: 4.1133, total_cost: 45735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, average_cost: 0.1015, f_measure: 0.9879, kappa: 0.1276, kb_relative_information_score: -59923253.6729, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9982, predictive_accuracy: 0.9791, prior_entropy: 0.0184, recall: 0.9791, relative_absolute_error: 20.2789, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1438, root_relative_squared_error: 3.4623, total_cost: 28903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, average_cost: 0.1581, f_measure: 0.9776, kappa: 0.0653, kb_relative_information_score: -5499219.0234, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9981, predictive_accuracy: 0.9593, prior_entropy: 0.0184, recall: 0.9593, relative_absolute_error: 11.7778, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.2017, root_relative_squared_error: 4.8559, total_cost: 45014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, average_cost: 0.1143, f_measure: 0.9822, kappa: 0.086, kb_relative_information_score: -4265206.4827, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9982, predictive_accuracy: 0.968, prior_entropy: 0.0184, recall: 0.968, relative_absolute_error: 9.2648, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1788, root_relative_squared_error: 4.3068, total_cost: 32563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, average_cost: 0.1143, f_measure: 0.9822, kappa: 0.086, kb_relative_information_score: -4265206.4827, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9982, predictive_accuracy: 0.968, prior_entropy: 0.0184, recall: 0.968, relative_absolute_error: 9.2648, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1788, root_relative_squared_error: 4.3068, total_cost: 32563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, average_cost: 0.1017, f_measure: 0.9887, kappa: 0.1361, kb_relative_information_score: -60674113.1368, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9982, predictive_accuracy: 0.9806, prior_entropy: 0.0184, recall: 0.9806, relative_absolute_error: 19.8481, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1397, root_relative_squared_error: 3.3645, total_cost: 28971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, average_cost: 0.1484, f_measure: 0.9845, kappa: 0.0946, kb_relative_information_score: -3624478.8058, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9981, predictive_accuracy: 0.9725, prior_entropy: 0.0184, recall: 0.9725, relative_absolute_error: 7.96, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1658, root_relative_squared_error: 3.992, total_cost: 42258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, average_cost: 0.1526, f_measure: 0.9983, kappa: 0.5914, kb_relative_information_score: 5447.0069, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9988, predictive_accuracy: 0.998, prior_entropy: 0.0184, recall: 0.998, relative_absolute_error: 0.5646, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.044, root_relative_squared_error: 1.059, total_cost: 43473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, average_cost: 0.1486, f_measure: 0.9853, kappa: 0.0996, kb_relative_information_score: -3404244.2731, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9981, predictive_accuracy: 0.9741, prior_entropy: 0.0184, recall: 0.9741, relative_absolute_error: 7.5115, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.161, root_relative_squared_error: 3.8779, total_cost: 42316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, average_cost: 0.1486, f_measure: 0.9853, kappa: 0.0996, kb_relative_information_score: -3404244.2731, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9981, predictive_accuracy: 0.9741, prior_entropy: 0.0184, recall: 0.9741, relative_absolute_error: 7.5115, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.161, root_relative_squared_error: 3.8779, total_cost: 42316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5305, average_cost: 0.8117, f_measure: 0.9955, kappa: 0.0354, kb_relative_information_score: -530707.9886, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9967, predictive_accuracy: 0.9943, prior_entropy: 0.0184, recall: 0.9943, relative_absolute_error: 1.6597, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.0757, root_relative_squared_error: 1.8229, total_cost: 231172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5305, average_cost: 0.8117, f_measure: 0.9955, kappa: 0.0354, kb_relative_information_score: -530707.9886, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9967, predictive_accuracy: 0.9943, prior_entropy: 0.0184, recall: 0.9943, relative_absolute_error: 1.6597, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.0757, root_relative_squared_error: 1.8229, total_cost: 231172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, average_cost: 0.1044, f_measure: 0.9892, kappa: 0.1408, kb_relative_information_score: -69241466.3756, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9982, predictive_accuracy: 0.9814, prior_entropy: 0.0184, recall: 0.9814, relative_absolute_error: 22.3447, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1412, root_relative_squared_error: 3.4004, total_cost: 29739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, average_cost: 0.1094, f_measure: 0.9911, kappa: 0.1697, kb_relative_information_score: -1816657.9247, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9982, predictive_accuracy: 0.9852, prior_entropy: 0.0184, recall: 0.9852, relative_absolute_error: 4.2785, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1215, root_relative_squared_error: 2.9267, total_cost: 31153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 0.9983, f_measure: 0, kb_relative_information_score: -141702042.2772, mean_absolute_error: 0.9983, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0, predictive_accuracy: 0.0017, prior_entropy: 0.0184, recall: 0.0017, relative_absolute_error: 289.1457, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.9991, root_relative_squared_error: 24.0598, total_cost: 284315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, average_cost: 0.1337, f_measure: 0.9766, kappa: 0.0645, kb_relative_information_score: -5772677.8983, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9981, predictive_accuracy: 0.9574, prior_entropy: 0.0184, recall: 0.9574, relative_absolute_error: 12.3341, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.2064, root_relative_squared_error: 4.9692, total_cost: 38076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, average_cost: 0.8637, f_measure: 0.9974, kb_relative_information_score: 84.4798, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9965, predictive_accuracy: 0.9983, prior_entropy: 0.0184, recall: 0.9983, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.0415, root_relative_squared_error: 1, total_cost: 246000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, average_cost: 0.1094, f_measure: 0.9911, kappa: 0.1697, kb_relative_information_score: -1816657.9247, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9982, predictive_accuracy: 0.9852, prior_entropy: 0.0184, recall: 0.9852, relative_absolute_error: 4.2785, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1215, root_relative_squared_error: 2.9267, total_cost: 31153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, average_cost: 0.1036, f_measure: 0.9886, kappa: 0.1349, kb_relative_information_score: -66254510.6919, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9982, predictive_accuracy: 0.9805, prior_entropy: 0.0184, recall: 0.9805, relative_absolute_error: 21.014, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1413, root_relative_squared_error: 3.4031, total_cost: 29515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, average_cost: 0.1044, f_measure: 0.9892, kappa: 0.1408, kb_relative_information_score: -69241466.3756, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9982, predictive_accuracy: 0.9814, prior_entropy: 0.0184, recall: 0.9814, relative_absolute_error: 22.3447, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1412, root_relative_squared_error: 3.4004, total_cost: 29739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, average_cost: 0.1425, f_measure: 0.9866, kappa: 0.11, kb_relative_information_score: -53420442.1476, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9981, predictive_accuracy: 0.9766, prior_entropy: 0.0184, recall: 0.9766, relative_absolute_error: 14.6885, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1201, root_relative_squared_error: 2.8931, total_cost: 40597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, average_cost: 0.1969, f_measure: 0.9994, kappa: 0.8091, kb_relative_information_score: 190837.259, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9993, predictive_accuracy: 0.9994, prior_entropy: 0.0184, recall: 0.9994, relative_absolute_error: 0.2359, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.0239, root_relative_squared_error: 0.5757, total_cost: 56067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, average_cost: 0.1968, f_measure: 0.9994, kappa: 0.8125, kb_relative_information_score: 192114.5789, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.0184, recall: 0.9994, relative_absolute_error: 0.2404, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.024, root_relative_squared_error: 0.5782, total_cost: 56063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, average_cost: 0.1145, f_measure: 0.9839, kappa: 0.0951, kb_relative_information_score: -3787781.9628, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9982, predictive_accuracy: 0.9714, prior_entropy: 0.0184, recall: 0.9714, relative_absolute_error: 8.2925, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1692, root_relative_squared_error: 4.0745, total_cost: 32605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, average_cost: 0.1933, f_measure: 0.9994, kappa: 0.8133, kb_relative_information_score: 196914.9461, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.0184, recall: 0.9994, relative_absolute_error: 0.178, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.0248, root_relative_squared_error: 0.5969, total_cost: 55065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, average_cost: 0.157, f_measure: 0.9956, kappa: 0.3093, kb_relative_information_score: -997984.0837, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9983, predictive_accuracy: 0.9937, prior_entropy: 0.0184, recall: 0.9937, relative_absolute_error: 1.8772, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.0759, root_relative_squared_error: 1.8279, total_cost: 44711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, average_cost: 0.1122, f_measure: 0.9924, kappa: 0.196, kb_relative_information_score: -1470575.0876, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9983, predictive_accuracy: 0.9877, prior_entropy: 0.0184, recall: 0.9877, relative_absolute_error: 3.5737, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1111, root_relative_squared_error: 2.6748, total_cost: 31957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, average_cost: 0.1694, f_measure: 0.9873, kappa: 0.1115, kb_relative_information_score: -3100957.366, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9981, predictive_accuracy: 0.9778, prior_entropy: 0.0184, recall: 0.9778, relative_absolute_error: 6.4313, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1473, root_relative_squared_error: 3.5466, total_cost: 48234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, average_cost: 0.1694, f_measure: 0.9873, kappa: 0.1115, kb_relative_information_score: -3100957.366, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9981, predictive_accuracy: 0.9778, prior_entropy: 0.0184, recall: 0.9778, relative_absolute_error: 6.4313, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1473, root_relative_squared_error: 3.5466, total_cost: 48234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, average_cost: 0.209, f_measure: 0.9995, kappa: 0.837, kb_relative_information_score: 196311.0952, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.0184, recall: 0.9995, relative_absolute_error: 0.2289, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.0221, root_relative_squared_error: 0.5312, total_cost: 59526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, average_cost: 0.1486, f_measure: 0.9853, kappa: 0.0997, kb_relative_information_score: -3765228.5878, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9981, predictive_accuracy: 0.9741, prior_entropy: 0.0184, recall: 0.9741, relative_absolute_error: 7.5254, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1588, root_relative_squared_error: 3.8232, total_cost: 42314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, average_cost: 0.209, f_measure: 0.9995, kappa: 0.8361, kb_relative_information_score: 194750.2425, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.0184, recall: 0.9995, relative_absolute_error: 0.2308, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.0221, root_relative_squared_error: 0.5332, total_cost: 59527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, average_cost: 0.1486, f_measure: 0.9853, kappa: 0.0997, kb_relative_information_score: -3765228.5878, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9981, predictive_accuracy: 0.9741, prior_entropy: 0.0184, recall: 0.9741, relative_absolute_error: 7.5254, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1588, root_relative_squared_error: 3.8232, total_cost: 42314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, average_cost: 0.1694, f_measure: 0.9873, kappa: 0.1115, kb_relative_information_score: -3100957.366, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9981, predictive_accuracy: 0.9778, prior_entropy: 0.0184, recall: 0.9778, relative_absolute_error: 6.4313, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1473, root_relative_squared_error: 3.5466, total_cost: 48234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, average_cost: 0.8637, f_measure: 0.9974, kb_relative_information_score: -10440.7078, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9965, predictive_accuracy: 0.9983, prior_entropy: 0.0184, recall: 0.9983, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.0415, root_relative_squared_error: 1, total_cost: 246000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, average_cost: 0.1685, f_measure: 0.9877, kappa: 0.1154, kb_relative_information_score: -2971813.4086, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9981, predictive_accuracy: 0.9786, prior_entropy: 0.0184, recall: 0.9786, relative_absolute_error: 6.2017, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1447, root_relative_squared_error: 3.4834, total_cost: 47999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 0.8637, f_measure: 0.9974, kb_relative_information_score: 38449.7847, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9965, predictive_accuracy: 0.9983, prior_entropy: 0.0184, recall: 0.9983, relative_absolute_error: 0.5024, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.0416, root_relative_squared_error: 1.0009, total_cost: 246000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, average_cost: 0.1486, f_measure: 0.9853, kappa: 0.0997, kb_relative_information_score: -3765228.5878, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9981, predictive_accuracy: 0.9741, prior_entropy: 0.0184, recall: 0.9741, relative_absolute_error: 7.5254, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1588, root_relative_squared_error: 3.8232, total_cost: 42314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, average_cost: 0.8637, f_measure: 0.9974, kb_relative_information_score: -124585215.2135, mean_absolute_error: 0.464, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9965, predictive_accuracy: 0.9983, prior_entropy: 0.0184, recall: 0.9983, relative_absolute_error: 134.3957, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.464, root_relative_squared_error: 11.1737, total_cost: 246000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, average_cost: 0.1694, f_measure: 0.9873, kappa: 0.1115, kb_relative_information_score: -3100957.366, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9981, predictive_accuracy: 0.9778, prior_entropy: 0.0184, recall: 0.9778, relative_absolute_error: 6.4313, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.1473, root_relative_squared_error: 3.5466, total_cost: 48234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, average_cost: 0.209, f_measure: 0.9995, kappa: 0.837, kb_relative_information_score: 196311.0952, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.0035, number_of_instances: 284807, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.0184, recall: 0.9995, relative_absolute_error: 0.2289, root_mean_prior_squared_error: 0.0415, root_mean_squared_error: 0.0221, root_relative_squared_error: 0.5312, total_cost: 59526,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

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Use one of our APIs to download data from OpenML and upload your results

OpenML APIs