Task
Supervised Classification on musk

Supervised Classification on musk

Task 146082 Supervised Classification musk 13306 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 6536.664, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.6204, recall: 0.9995, relative_absolute_error: 0.0094, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0237, root_relative_squared_error: 0.0656, scimark_benchmark: 1249.7358, usercpu_time_millis: 377.147, usercpu_time_millis_testing: 2.58, usercpu_time_millis_training: 374.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1263.4589, usercpu_time_millis: 253.499, usercpu_time_millis_testing: 0.762, usercpu_time_millis_training: 252.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6580.5015, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0025, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0164, root_relative_squared_error: 0.0453, scimark_benchmark: 1284.0515, usercpu_time_millis: 270.252, usercpu_time_millis_testing: 0.912, usercpu_time_millis_training: 269.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9994, kb_relative_information_score: 6574.8522, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.6204, recall: 0.9998, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0104, root_relative_squared_error: 0.0287, scimark_benchmark: 1282.3108, usercpu_time_millis: 403.538, usercpu_time_millis_testing: 2.805, usercpu_time_millis_training: 400.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9649, kappa: 0.8635, kb_relative_information_score: 5170.607, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9648, predictive_accuracy: 0.9654, prior_entropy: 0.6204, recall: 0.9654, relative_absolute_error: 0.2134, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.4622, scimark_benchmark: 1272.9544, usercpu_time_millis: 827.465, usercpu_time_millis_testing: 9.598, usercpu_time_millis_training: 817.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9367, kappa: 0.7526, kb_relative_information_score: 4172.9634, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9362, predictive_accuracy: 0.938, prior_entropy: 0.6204, recall: 0.938, relative_absolute_error: 0.3275, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.5976, scimark_benchmark: 1245.5607, usercpu_time_millis: 695.949, usercpu_time_millis_testing: 7.132, usercpu_time_millis_training: 688.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.997, kappa: 0.9884, kb_relative_information_score: 6446.7658, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.6204, recall: 0.997, relative_absolute_error: 0.0226, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0518, root_relative_squared_error: 0.1435, scimark_benchmark: 1251.7214, usercpu_time_millis: 289.679, usercpu_time_millis_testing: 1.447, usercpu_time_millis_training: 288.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 6536.6641, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.6204, recall: 0.9995, relative_absolute_error: 0.0094, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0237, root_relative_squared_error: 0.0656, scimark_benchmark: 1272.0364, usercpu_time_millis: 406.477, usercpu_time_millis_testing: 1.841, usercpu_time_millis_training: 404.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1251.266, usercpu_time_millis: 268.151, usercpu_time_millis_testing: 0.825, usercpu_time_millis_training: 267.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9629, kappa: 0.8559, kb_relative_information_score: 5155.6981, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9628, predictive_accuracy: 0.9635, prior_entropy: 0.6204, recall: 0.9635, relative_absolute_error: 0.2135, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.4637, scimark_benchmark: 1239.5688, usercpu_time_millis: 689.188, usercpu_time_millis_testing: 6.244, usercpu_time_millis_training: 682.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9649, kappa: 0.8635, kb_relative_information_score: 5168.381, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9648, predictive_accuracy: 0.9654, prior_entropy: 0.6204, recall: 0.9654, relative_absolute_error: 0.2137, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.167, root_relative_squared_error: 0.4626, scimark_benchmark: 1270.9459, usercpu_time_millis: 846.201, usercpu_time_millis_testing: 8.789, usercpu_time_millis_training: 837.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9555, kappa: 0.8247, kb_relative_information_score: 4732.2558, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9558, predictive_accuracy: 0.9568, prior_entropy: 0.6204, recall: 0.9568, relative_absolute_error: 0.2689, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.5034, scimark_benchmark: 1245.0485, usercpu_time_millis: 433.808, usercpu_time_millis_testing: 2.863, usercpu_time_millis_training: 430.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6578.9476, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0028, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0169, root_relative_squared_error: 0.0468, scimark_benchmark: 1274.1028, usercpu_time_millis: 265.721, usercpu_time_millis_testing: 0.805, usercpu_time_millis_training: 264.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9467, kappa: 0.7886, kb_relative_information_score: 4425.8058, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9474, predictive_accuracy: 0.9488, prior_entropy: 0.6204, recall: 0.9488, relative_absolute_error: 0.3125, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.5493, scimark_benchmark: 1279.0726, usercpu_time_millis: 421.567, usercpu_time_millis_testing: 2.839, usercpu_time_millis_training: 418.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1272.5806, usercpu_time_millis: 270.654, usercpu_time_millis_testing: 0.815, usercpu_time_millis_training: 269.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.977, kappa: 0.9111, kb_relative_information_score: 5706.5482, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9769, predictive_accuracy: 0.9771, prior_entropy: 0.6204, recall: 0.9771, relative_absolute_error: 0.136, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.369, scimark_benchmark: 1269.6775, usercpu_time_millis: 410.762, usercpu_time_millis_testing: 3.067, usercpu_time_millis_training: 407.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9793, kappa: 0.9198, kb_relative_information_score: 5889.9278, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9793, predictive_accuracy: 0.9795, prior_entropy: 0.6204, recall: 0.9795, relative_absolute_error: 0.104, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1178, root_relative_squared_error: 0.3263, scimark_benchmark: 1244.8719, usercpu_time_millis: 531.964, usercpu_time_millis_testing: 4.199, usercpu_time_millis_training: 527.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: 6534.3186, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.6204, recall: 0.9991, relative_absolute_error: 0.009, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0295, root_relative_squared_error: 0.0817, scimark_benchmark: 1241.774, usercpu_time_millis: 261.516, usercpu_time_millis_testing: 1.735, usercpu_time_millis_training: 259.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6558.7525, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0051, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0247, root_relative_squared_error: 0.0684, scimark_benchmark: 1231.5026, usercpu_time_millis: 241.986, usercpu_time_millis_testing: 1.759, usercpu_time_millis_training: 240.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.9195, kappa: 0.673, kb_relative_information_score: 3494.9958, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9219, predictive_accuracy: 0.925, prior_entropy: 0.6204, recall: 0.925, relative_absolute_error: 0.4417, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.6787, scimark_benchmark: 1266.6496, usercpu_time_millis: 658.037, usercpu_time_millis_testing: 6.074, usercpu_time_millis_training: 651.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 6536.3088, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.6204, recall: 0.9995, relative_absolute_error: 0.0095, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0238, root_relative_squared_error: 0.0658, scimark_benchmark: 1269.0378, usercpu_time_millis: 403.764, usercpu_time_millis_testing: 2.639, usercpu_time_millis_training: 401.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6577.2831, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0039, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0085, root_relative_squared_error: 0.0235, scimark_benchmark: 1274.0438, usercpu_time_millis: 321.957, usercpu_time_millis_testing: 2.824, usercpu_time_millis_training: 319.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 6530.0554, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 0.0104, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0296, root_relative_squared_error: 0.0821, scimark_benchmark: 1231.2585, usercpu_time_millis: 270.226, usercpu_time_millis_testing: 1.502, usercpu_time_millis_training: 268.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9952, kappa: 0.9814, kb_relative_information_score: 6365.9906, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 0.6204, recall: 0.9952, relative_absolute_error: 0.0353, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.1751, scimark_benchmark: 1269.9614, usercpu_time_millis: 491.224, usercpu_time_millis_testing: 3.68, usercpu_time_millis_training: 487.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9973, kappa: 0.9896, kb_relative_information_score: 6448.7865, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 0.6204, recall: 0.9973, relative_absolute_error: 0.0232, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0452, root_relative_squared_error: 0.1251, scimark_benchmark: 1255.7368, usercpu_time_millis: 441.031, usercpu_time_millis_testing: 2.468, usercpu_time_millis_training: 438.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9415, kappa: 0.7726, kb_relative_information_score: 4384.5349, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.941, predictive_accuracy: 0.9423, prior_entropy: 0.6204, recall: 0.9423, relative_absolute_error: 0.3021, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.5763, scimark_benchmark: 1259.5048, usercpu_time_millis: 736.052, usercpu_time_millis_testing: 6.951, usercpu_time_millis_training: 729.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.997, kappa: 0.9884, kb_relative_information_score: 6452.1864, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.6204, recall: 0.997, relative_absolute_error: 0.0228, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.049, root_relative_squared_error: 0.1357, scimark_benchmark: 1256.0282, usercpu_time_millis: 297.943, usercpu_time_millis_testing: 1.645, usercpu_time_millis_training: 296.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6575.8143, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0036, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.017, root_relative_squared_error: 0.0472, scimark_benchmark: 1260.9948, usercpu_time_millis: 229.942, usercpu_time_millis_testing: 1.48, usercpu_time_millis_training: 228.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.9197, kappa: 0.6738, kb_relative_information_score: 3496.7735, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.922, predictive_accuracy: 0.9251, prior_entropy: 0.6204, recall: 0.9251, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.6784, scimark_benchmark: 1282.4747, usercpu_time_millis: 652.791, usercpu_time_millis_testing: 6.334, usercpu_time_millis_training: 646.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9998, kappa: 0.9994, kb_relative_information_score: 6574.4008, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9998, predictive_accuracy: 0.9998, prior_entropy: 0.6204, recall: 0.9998, relative_absolute_error: 0.0043, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0105, root_relative_squared_error: 0.0291, scimark_benchmark: 1257.9448, usercpu_time_millis: 308.346, usercpu_time_millis_testing: 2.772, usercpu_time_millis_training: 305.574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9491, kappa: 0.8008, kb_relative_information_score: 4703.5773, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9488, predictive_accuracy: 0.9501, prior_entropy: 0.6204, recall: 0.9501, relative_absolute_error: 0.2728, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.5408, scimark_benchmark: 1271.1045, usercpu_time_millis: 680.92, usercpu_time_millis_testing: 6.828, usercpu_time_millis_training: 674.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.998, kappa: 0.9925, kb_relative_information_score: 6499.0112, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.6204, recall: 0.998, relative_absolute_error: 0.0149, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0425, root_relative_squared_error: 0.1177, scimark_benchmark: 1273.8025, usercpu_time_millis: 281.717, usercpu_time_millis_testing: 1.305, usercpu_time_millis_training: 280.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1255.3381, usercpu_time_millis: 209.062, usercpu_time_millis_testing: 0.704, usercpu_time_millis_training: 208.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9989, kappa: 0.9959, kb_relative_information_score: 6523.8549, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9989, predictive_accuracy: 0.9989, prior_entropy: 0.6204, recall: 0.9989, relative_absolute_error: 0.0111, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0295, root_relative_squared_error: 0.0818, scimark_benchmark: 1234.0418, usercpu_time_millis: 446.109, usercpu_time_millis_testing: 2.933, usercpu_time_millis_training: 443.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.9192, kappa: 0.672, kb_relative_information_score: 3497.6219, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9215, predictive_accuracy: 0.9247, prior_entropy: 0.6204, recall: 0.9247, relative_absolute_error: 0.4413, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.6782, scimark_benchmark: 1267.0527, usercpu_time_millis: 640.641, usercpu_time_millis_testing: 5.119, usercpu_time_millis_training: 635.522,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: 6491.9411, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.6204, recall: 0.9991, relative_absolute_error: 0.0169, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.031, root_relative_squared_error: 0.0859, scimark_benchmark: 1266.63, usercpu_time_millis: 467.363, usercpu_time_millis_testing: 2.177, usercpu_time_millis_training: 465.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9631, kappa: 0.8563, kb_relative_information_score: 5150.9554, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.963, predictive_accuracy: 0.9636, prior_entropy: 0.6204, recall: 0.9636, relative_absolute_error: 0.2147, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.4644, scimark_benchmark: 1260.5901, usercpu_time_millis: 653.132, usercpu_time_millis_testing: 5.873, usercpu_time_millis_training: 647.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9962, kappa: 0.9855, kb_relative_information_score: 6433.6036, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 0.6204, recall: 0.9962, relative_absolute_error: 0.0237, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0505, root_relative_squared_error: 0.1398, scimark_benchmark: 1277.7774, usercpu_time_millis: 270.496, usercpu_time_millis_testing: 2.614, usercpu_time_millis_training: 267.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1275.9559, usercpu_time_millis: 268.216, usercpu_time_millis_testing: 0.78, usercpu_time_millis_training: 267.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1290.6296, usercpu_time_millis: 264.955, usercpu_time_millis_testing: 0.99, usercpu_time_millis_training: 263.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9492, kappa: 0.8015, kb_relative_information_score: 4703.3293, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.949, predictive_accuracy: 0.9503, prior_entropy: 0.6204, recall: 0.9503, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.5408, scimark_benchmark: 1271.7668, usercpu_time_millis: 678.803, usercpu_time_millis_testing: 6.354, usercpu_time_millis_training: 672.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.941, kappa: 0.7631, kb_relative_information_score: 4416.9265, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9429, predictive_accuracy: 0.9441, prior_entropy: 0.6204, recall: 0.9441, relative_absolute_error: 0.323, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.5598, scimark_benchmark: 1282.8062, usercpu_time_millis: 544.558, usercpu_time_millis_testing: 3.594, usercpu_time_millis_training: 540.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.964, kappa: 0.8594, kb_relative_information_score: 5105.9325, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.964, predictive_accuracy: 0.9647, prior_entropy: 0.6204, recall: 0.9647, relative_absolute_error: 0.2153, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.4437, scimark_benchmark: 1276.8312, usercpu_time_millis: 387.037, usercpu_time_millis_testing: 2.765, usercpu_time_millis_training: 384.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.9289, kappa: 0.7126, kb_relative_information_score: 3885.6989, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9309, predictive_accuracy: 0.9332, prior_entropy: 0.6204, recall: 0.9332, relative_absolute_error: 0.3859, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.6202, scimark_benchmark: 1274.1436, usercpu_time_millis: 487.398, usercpu_time_millis_testing: 3.189, usercpu_time_millis_training: 484.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9669, kappa: 0.871, kb_relative_information_score: 5290.4802, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9669, predictive_accuracy: 0.9674, prior_entropy: 0.6204, recall: 0.9674, relative_absolute_error: 0.1935, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.16, root_relative_squared_error: 0.443, scimark_benchmark: 1283.6263, usercpu_time_millis: 772.381, usercpu_time_millis_testing: 8.065, usercpu_time_millis_training: 764.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6575.0776, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0038, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0157, root_relative_squared_error: 0.0434, scimark_benchmark: 1252.346, usercpu_time_millis: 250.28, usercpu_time_millis_testing: 1.494, usercpu_time_millis_training: 248.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1285.2841, usercpu_time_millis: 263.52, usercpu_time_millis_testing: 1.606, usercpu_time_millis_training: 261.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.951, kappa: 0.8056, kb_relative_information_score: 4735.9816, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9518, predictive_accuracy: 0.9529, prior_entropy: 0.6204, recall: 0.9529, relative_absolute_error: 0.2806, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.188, root_relative_squared_error: 0.5207, scimark_benchmark: 1274.2942, usercpu_time_millis: 503.662, usercpu_time_millis_testing: 5.397, usercpu_time_millis_training: 498.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1278.8861, usercpu_time_millis: 242.133, usercpu_time_millis_testing: 0.722, usercpu_time_millis_training: 241.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9654, kappa: 0.8657, kb_relative_information_score: 5196.9642, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9653, predictive_accuracy: 0.9659, prior_entropy: 0.6204, recall: 0.9659, relative_absolute_error: 0.2101, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.4573, scimark_benchmark: 1277.9394, usercpu_time_millis: 644.68, usercpu_time_millis_testing: 5.031, usercpu_time_millis_training: 639.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1267.8964, usercpu_time_millis: 252.011, usercpu_time_millis_testing: 0.708, usercpu_time_millis_training: 251.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1272.1845, usercpu_time_millis: 250.03, usercpu_time_millis_testing: -0.09, usercpu_time_millis_training: 250.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9958, kappa: 0.9838, kb_relative_information_score: 6397.2953, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 0.6204, recall: 0.9958, relative_absolute_error: 0.0314, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0597, root_relative_squared_error: 0.1653, scimark_benchmark: 1284.7322, usercpu_time_millis: 317.422, usercpu_time_millis_testing: 1.598, usercpu_time_millis_training: 315.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9643, kappa: 0.861, kb_relative_information_score: 4926.7807, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9642, predictive_accuracy: 0.9648, prior_entropy: 0.6204, recall: 0.9648, relative_absolute_error: 0.2404, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.476, scimark_benchmark: 1280.046, usercpu_time_millis: 559.19, usercpu_time_millis_testing: 5.386, usercpu_time_millis_training: 553.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1275.1978, usercpu_time_millis: 283.425, usercpu_time_millis_testing: 0.853, usercpu_time_millis_training: 282.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9806, kappa: 0.9249, kb_relative_information_score: 5983.9443, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9806, predictive_accuracy: 0.9808, prior_entropy: 0.6204, recall: 0.9808, relative_absolute_error: 0.093, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.3034, scimark_benchmark: 1269.4412, usercpu_time_millis: 427.504, usercpu_time_millis_testing: 2.975, usercpu_time_millis_training: 424.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.96, kappa: 0.8434, kb_relative_information_score: 5133.8784, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9601, predictive_accuracy: 0.9609, prior_entropy: 0.6204, recall: 0.9609, relative_absolute_error: 0.2241, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.4661, scimark_benchmark: 1263.599, usercpu_time_millis: 412.493, usercpu_time_millis_testing: 3.068, usercpu_time_millis_training: 409.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9634, kappa: 0.857, kb_relative_information_score: 5076.558, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9634, predictive_accuracy: 0.9641, prior_entropy: 0.6204, recall: 0.9641, relative_absolute_error: 0.2195, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.4483, scimark_benchmark: 1270.6961, usercpu_time_millis: 364.532, usercpu_time_millis_testing: 2.425, usercpu_time_millis_training: 362.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9919, kappa: 0.969, kb_relative_information_score: 6213.2772, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9919, predictive_accuracy: 0.992, prior_entropy: 0.6204, recall: 0.992, relative_absolute_error: 0.0581, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.2261, scimark_benchmark: 1267.5917, usercpu_time_millis: 327.926, usercpu_time_millis_testing: 2.393, usercpu_time_millis_training: 325.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6579.7575, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0027, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0166, root_relative_squared_error: 0.046, scimark_benchmark: 1252.4007, usercpu_time_millis: 267.52, usercpu_time_millis_testing: 1.6, usercpu_time_millis_training: 265.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: 6568.8612, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 0.0039, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0206, root_relative_squared_error: 0.0572, scimark_benchmark: 1263.8592, usercpu_time_millis: 266.159, usercpu_time_millis_testing: 0.879, usercpu_time_millis_training: 265.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9488, kappa: 0.8, kb_relative_information_score: 4703.6083, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9485, predictive_accuracy: 0.9498, prior_entropy: 0.6204, recall: 0.9498, relative_absolute_error: 0.2727, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5406, scimark_benchmark: 1261.9369, usercpu_time_millis: 651.665, usercpu_time_millis_testing: 6.503, usercpu_time_millis_training: 645.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9645, kappa: 0.8618, kb_relative_information_score: 5168.6358, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9644, predictive_accuracy: 0.965, prior_entropy: 0.6204, recall: 0.965, relative_absolute_error: 0.2123, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.4615, scimark_benchmark: 1278.2498, usercpu_time_millis: 808.151, usercpu_time_millis_testing: 8.53, usercpu_time_millis_training: 799.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9634, kappa: 0.8578, kb_relative_information_score: 5154.7545, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9633, predictive_accuracy: 0.9639, prior_entropy: 0.6204, recall: 0.9639, relative_absolute_error: 0.2138, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.4645, scimark_benchmark: 1282.5751, usercpu_time_millis: 733.934, usercpu_time_millis_testing: 7.827, usercpu_time_millis_training: 726.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1265.5333, usercpu_time_millis: 247.557, usercpu_time_millis_testing: 0.729, usercpu_time_millis_training: 246.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6574.9923, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0032, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0179, root_relative_squared_error: 0.0497, scimark_benchmark: 1259.5864, usercpu_time_millis: 237.278, usercpu_time_millis_testing: 0.774, usercpu_time_millis_training: 236.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9629, kappa: 0.8558, kb_relative_information_score: 5147.6333, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9628, predictive_accuracy: 0.9635, prior_entropy: 0.6204, recall: 0.9635, relative_absolute_error: 0.2152, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.4655, scimark_benchmark: 1259.7111, usercpu_time_millis: 820.937, usercpu_time_millis_testing: 8.323, usercpu_time_millis_training: 812.614,

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

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs