Task
Supervised Classification on pc4

Supervised Classification on pc4

Task 3902 Supervised Classification pc4 112802 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
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112802 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8435, f_measure: 0.8897, kappa: 0.4492, kb_relative_information_score: 588.6743, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8866, predictive_accuracy: 0.8985, prior_entropy: 0.5368, recall: 0.8985, relative_absolute_error: 0.4673, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3055, root_relative_squared_error: 0.9331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.878, kappa: 0.4219, kb_relative_information_score: 231.2957, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8762, predictive_accuracy: 0.88, prior_entropy: 0.5368, recall: 0.88, relative_absolute_error: 0.6271, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3046, root_relative_squared_error: 0.9305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.8928, kappa: 0.4863, kb_relative_information_score: 437.0231, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8905, predictive_accuracy: 0.8957, prior_entropy: 0.5368, recall: 0.8957, relative_absolute_error: 0.5525, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2746, root_relative_squared_error: 0.8389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9088, kappa: 0.5714, kb_relative_information_score: 521.3539, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9082, predictive_accuracy: 0.9095, prior_entropy: 0.5368, recall: 0.9095, relative_absolute_error: 0.4991, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.7406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.8939, kappa: 0.4996, kb_relative_information_score: 413.2232, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8928, predictive_accuracy: 0.8951, prior_entropy: 0.5368, recall: 0.8951, relative_absolute_error: 0.5674, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.276, root_relative_squared_error: 0.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5165, f_measure: 0.8302, kappa: 0.0561, kb_relative_information_score: 417.3431, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8785, predictive_accuracy: 0.8813, prior_entropy: 0.5368, recall: 0.8813, relative_absolute_error: 0.5525, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3445, root_relative_squared_error: 1.0522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.8972, kappa: 0.5001, kb_relative_information_score: 392.0692, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8945, predictive_accuracy: 0.9019, prior_entropy: 0.5368, recall: 0.9019, relative_absolute_error: 0.5687, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2668, root_relative_squared_error: 0.8151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8208, kb_relative_information_score: -243.2474, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.797, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.8897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.8902, kappa: 0.4755, kb_relative_information_score: 380.3322, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.888, predictive_accuracy: 0.893, prior_entropy: 0.5368, recall: 0.893, relative_absolute_error: 0.5791, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2676, root_relative_squared_error: 0.8175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.8681, kappa: 0.3484, kb_relative_information_score: 255.0186, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8627, predictive_accuracy: 0.8765, prior_entropy: 0.5368, recall: 0.8765, relative_absolute_error: 0.6306, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2767, root_relative_squared_error: 0.8453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.879, kappa: 0.3998, kb_relative_information_score: 279.6416, mean_absolute_error: 0.1314, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8746, predictive_accuracy: 0.8875, prior_entropy: 0.5368, recall: 0.8875, relative_absolute_error: 0.6119, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2666, root_relative_squared_error: 0.8145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.8851, kappa: 0.4469, kb_relative_information_score: 168.0058, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8822, predictive_accuracy: 0.8889, prior_entropy: 0.5368, recall: 0.8889, relative_absolute_error: 0.6633, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6823, f_measure: 0.8337, kappa: 0.0763, kb_relative_information_score: 277.2201, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8971, predictive_accuracy: 0.8834, prior_entropy: 0.5368, recall: 0.8834, relative_absolute_error: 0.6378, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8208, kb_relative_information_score: -240.2358, mean_absolute_error: 0.1709, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.796, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.8898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7526, f_measure: 0.8905, kappa: 0.4781, kb_relative_information_score: 496.7953, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8885, predictive_accuracy: 0.893, prior_entropy: 0.5368, recall: 0.893, relative_absolute_error: 0.5244, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3049, root_relative_squared_error: 0.9312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.8809, kappa: 0.4213, kb_relative_information_score: 139.3771, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8772, predictive_accuracy: 0.8861, prior_entropy: 0.5368, recall: 0.8861, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2732, root_relative_squared_error: 0.8345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.8785, kappa: 0.3902, kb_relative_information_score: -58.3453, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8741, predictive_accuracy: 0.8889, prior_entropy: 0.5368, recall: 0.8889, relative_absolute_error: 0.7327, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.8579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6198, f_measure: 0.8299, kappa: 0.0741, kb_relative_information_score: -23.2399, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8161, predictive_accuracy: 0.8697, prior_entropy: 0.5368, recall: 0.8697, relative_absolute_error: 0.9564, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.8208, kb_relative_information_score: 1.6722, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.8208, kb_relative_information_score: 1.6722, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, f_measure: 0.886, kappa: 0.403, kb_relative_information_score: 310.6165, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8914, predictive_accuracy: 0.9033, prior_entropy: 0.5368, recall: 0.9033, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2517, root_relative_squared_error: 0.7687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.8904, kappa: 0.4333, kb_relative_information_score: 365.7418, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8926, predictive_accuracy: 0.9047, prior_entropy: 0.5368, recall: 0.9047, relative_absolute_error: 0.6072, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2473, root_relative_squared_error: 0.7555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, f_measure: 0.885, kappa: 0.4549, kb_relative_information_score: 478.7592, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8833, predictive_accuracy: 0.8868, prior_entropy: 0.5368, recall: 0.8868, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3335, root_relative_squared_error: 1.0188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.8956, kappa: 0.466, kb_relative_information_score: 385.8153, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8963, predictive_accuracy: 0.9074, prior_entropy: 0.5368, recall: 0.9074, relative_absolute_error: 0.5961, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.7507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.9026, kappa: 0.507, kb_relative_information_score: 413.3083, mean_absolute_error: 0.1239, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9028, predictive_accuracy: 0.9122, prior_entropy: 0.5368, recall: 0.9122, relative_absolute_error: 0.5769, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2409, root_relative_squared_error: 0.7359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8897, kappa: 0.4441, kb_relative_information_score: 253.2639, mean_absolute_error: 0.1329, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8873, predictive_accuracy: 0.8999, prior_entropy: 0.5368, recall: 0.8999, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2581, root_relative_squared_error: 0.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.8208, kb_relative_information_score: -2.6663, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.9009, kappa: 0.4998, kb_relative_information_score: 417.7981, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9003, predictive_accuracy: 0.9102, prior_entropy: 0.5368, recall: 0.9102, relative_absolute_error: 0.5659, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.7402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.9046, kappa: 0.5236, kb_relative_information_score: 418.8129, mean_absolute_error: 0.1212, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9034, predictive_accuracy: 0.9122, prior_entropy: 0.5368, recall: 0.9122, relative_absolute_error: 0.5645, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2428, root_relative_squared_error: 0.7417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8698, kappa: 0.3207, kb_relative_information_score: 259.5846, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8683, predictive_accuracy: 0.8889, prior_entropy: 0.5368, recall: 0.8889, relative_absolute_error: 0.6499, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.7975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8816, kappa: 0.3963, kb_relative_information_score: 372.3369, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8789, predictive_accuracy: 0.8944, prior_entropy: 0.5368, recall: 0.8944, relative_absolute_error: 0.5814, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2639, root_relative_squared_error: 0.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.8608, kappa: 0.2419, kb_relative_information_score: 134.6308, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8871, predictive_accuracy: 0.8937, prior_entropy: 0.5368, recall: 0.8937, relative_absolute_error: 0.751, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.8311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.8797, kappa: 0.3929, kb_relative_information_score: 250.3009, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8758, predictive_accuracy: 0.8909, prior_entropy: 0.5368, recall: 0.8909, relative_absolute_error: 0.6454, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.8035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.8859, kappa: 0.4045, kb_relative_information_score: 263.3311, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.89, predictive_accuracy: 0.9026, prior_entropy: 0.5368, recall: 0.9026, relative_absolute_error: 0.6522, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.8049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.8751, kappa: 0.3716, kb_relative_information_score: 259.2834, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8703, predictive_accuracy: 0.8861, prior_entropy: 0.5368, recall: 0.8861, relative_absolute_error: 0.6094, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3018, root_relative_squared_error: 0.9219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.9028, kappa: 0.5135, kb_relative_information_score: 415.8919, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9015, predictive_accuracy: 0.9108, prior_entropy: 0.5368, recall: 0.9108, relative_absolute_error: 0.5601, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.243, root_relative_squared_error: 0.7421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.9065, kappa: 0.5392, kb_relative_information_score: 414.1491, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9045, predictive_accuracy: 0.9122, prior_entropy: 0.5368, recall: 0.9122, relative_absolute_error: 0.5601, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.7447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.9065, kappa: 0.5392, kb_relative_information_score: 414.1491, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9045, predictive_accuracy: 0.9122, prior_entropy: 0.5368, recall: 0.9122, relative_absolute_error: 0.5601, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.7447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.8927, kappa: 0.4492, kb_relative_information_score: 355.5934, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8935, predictive_accuracy: 0.9054, prior_entropy: 0.5368, recall: 0.9054, relative_absolute_error: 0.6065, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.7621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.9065, kappa: 0.5392, kb_relative_information_score: 414.1491, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9045, predictive_accuracy: 0.9122, prior_entropy: 0.5368, recall: 0.9122, relative_absolute_error: 0.5601, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.7447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.9065, kappa: 0.5392, kb_relative_information_score: 414.1491, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9045, predictive_accuracy: 0.9122, prior_entropy: 0.5368, recall: 0.9122, relative_absolute_error: 0.5601, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.7447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.9065, kappa: 0.5392, kb_relative_information_score: 414.1491, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9045, predictive_accuracy: 0.9122, prior_entropy: 0.5368, recall: 0.9122, relative_absolute_error: 0.5601, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.7447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.9065, kappa: 0.5392, kb_relative_information_score: 414.1491, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9045, predictive_accuracy: 0.9122, prior_entropy: 0.5368, recall: 0.9122, relative_absolute_error: 0.5601, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.7447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.8908, kappa: 0.4775, kb_relative_information_score: 53.7341, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8885, predictive_accuracy: 0.8937, prior_entropy: 0.5368, recall: 0.8937, relative_absolute_error: 0.7226, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.8117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.8947, kappa: 0.4921, kb_relative_information_score: 558.5501, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8921, predictive_accuracy: 0.8985, prior_entropy: 0.5368, recall: 0.8985, relative_absolute_error: 0.474, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3055, root_relative_squared_error: 0.9333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8933, kappa: 0.4852, kb_relative_information_score: 547.5625, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8906, predictive_accuracy: 0.8971, prior_entropy: 0.5368, recall: 0.8971, relative_absolute_error: 0.4839, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2899, root_relative_squared_error: 0.8856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8911, kappa: 0.4527, kb_relative_information_score: 348.3563, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8885, predictive_accuracy: 0.9005, prior_entropy: 0.5368, recall: 0.9005, relative_absolute_error: 0.5982, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.7709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.8734, kappa: 0.3533, kb_relative_information_score: 46.2225, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8693, predictive_accuracy: 0.8875, prior_entropy: 0.5368, recall: 0.8875, relative_absolute_error: 0.7279, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2813, root_relative_squared_error: 0.8592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.8897, kappa: 0.4624, kb_relative_information_score: 336.3124, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8865, predictive_accuracy: 0.8951, prior_entropy: 0.5368, recall: 0.8951, relative_absolute_error: 0.5792, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.285, root_relative_squared_error: 0.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.8929, kappa: 0.4792, kb_relative_information_score: 356.3417, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8899, predictive_accuracy: 0.8978, prior_entropy: 0.5368, recall: 0.8978, relative_absolute_error: 0.5666, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.8875, kappa: 0.4655, kb_relative_information_score: 347.3314, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8857, predictive_accuracy: 0.8896, prior_entropy: 0.5368, recall: 0.8896, relative_absolute_error: 0.582, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.8823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.8914, kappa: 0.4558, kb_relative_information_score: 596.4454, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8887, predictive_accuracy: 0.9005, prior_entropy: 0.5368, recall: 0.9005, relative_absolute_error: 0.4596, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2972, root_relative_squared_error: 0.9077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.8928, kappa: 0.4955, kb_relative_information_score: 484.2565, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8919, predictive_accuracy: 0.8937, prior_entropy: 0.5368, recall: 0.8937, relative_absolute_error: 0.531, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.9032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6808, f_measure: 0.8968, kappa: 0.465, kb_relative_information_score: 675.0112, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.902, predictive_accuracy: 0.9108, prior_entropy: 0.5368, recall: 0.9108, relative_absolute_error: 0.4152, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.9121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6352, f_measure: 0.8736, kappa: 0.3456, kb_relative_information_score: 495.2427, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8713, predictive_accuracy: 0.8903, prior_entropy: 0.5368, recall: 0.8903, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3313, root_relative_squared_error: 1.0119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7669, f_measure: 0.9139, kappa: 0.5816, kb_relative_information_score: 734.934, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9121, predictive_accuracy: 0.9177, prior_entropy: 0.5368, recall: 0.9177, relative_absolute_error: 0.3833, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.8763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6334, f_measure: 0.8795, kappa: 0.3635, kb_relative_information_score: 579.1347, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8868, predictive_accuracy: 0.8999, prior_entropy: 0.5368, recall: 0.8999, relative_absolute_error: 0.4663, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.9666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6482, f_measure: 0.889, kappa: 0.4105, kb_relative_information_score: 657.0343, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9045, predictive_accuracy: 0.9088, prior_entropy: 0.5368, recall: 0.9088, relative_absolute_error: 0.4248, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.302, root_relative_squared_error: 0.9225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.8964, kappa: 0.4723, kb_relative_information_score: 645.0498, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8964, predictive_accuracy: 0.9074, prior_entropy: 0.5368, recall: 0.9074, relative_absolute_error: 0.4312, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.8672, kappa: 0.3661, kb_relative_information_score: 321.4666, mean_absolute_error: 0.1296, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8644, predictive_accuracy: 0.8704, prior_entropy: 0.5368, recall: 0.8704, relative_absolute_error: 0.6036, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.36, root_relative_squared_error: 1.0998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.8208, kb_relative_information_score: 382.7115, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.574, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3455, root_relative_squared_error: 1.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.8208, kb_relative_information_score: -84.4421, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 1.0125, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3274, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.8751, kappa: 0.3716, kb_relative_information_score: 259.2835, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8703, predictive_accuracy: 0.8861, prior_entropy: 0.5368, recall: 0.8861, relative_absolute_error: 0.6094, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3018, root_relative_squared_error: 0.9219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.8672, kappa: 0.3661, kb_relative_information_score: 278.0852, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8644, predictive_accuracy: 0.8704, prior_entropy: 0.5368, recall: 0.8704, relative_absolute_error: 0.6185, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3473, root_relative_squared_error: 1.0608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8944, kappa: 0.4926, kb_relative_information_score: 389.6943, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.892, predictive_accuracy: 0.8978, prior_entropy: 0.5368, recall: 0.8978, relative_absolute_error: 0.5814, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.8306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.782, f_measure: 0.8502, kappa: 0.1916, kb_relative_information_score: -71.8935, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8524, predictive_accuracy: 0.882, prior_entropy: 0.5368, recall: 0.882, relative_absolute_error: 0.851, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.9294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, f_measure: 0.8562, kappa: 0.2303, kb_relative_information_score: -62.6062, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8576, predictive_accuracy: 0.8841, prior_entropy: 0.5368, recall: 0.8841, relative_absolute_error: 0.8183, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.9117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.888, kappa: 0.4322, kb_relative_information_score: 192.5395, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8858, predictive_accuracy: 0.8992, prior_entropy: 0.5368, recall: 0.8992, relative_absolute_error: 0.6366, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.8419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7166, f_measure: 0.8886, kappa: 0.4728, kb_relative_information_score: 487.0648, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8871, predictive_accuracy: 0.8903, prior_entropy: 0.5368, recall: 0.8903, relative_absolute_error: 0.5223, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.9579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8933, kappa: 0.4884, kb_relative_information_score: 213.3321, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.891, predictive_accuracy: 0.8964, prior_entropy: 0.5368, recall: 0.8964, relative_absolute_error: 0.6516, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.8179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.8699, kappa: 0.3294, kb_relative_information_score: 275.4384, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8659, predictive_accuracy: 0.8861, prior_entropy: 0.5368, recall: 0.8861, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.271, root_relative_squared_error: 0.8278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.8699, kappa: 0.3294, kb_relative_information_score: 275.4384, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8659, predictive_accuracy: 0.8861, prior_entropy: 0.5368, recall: 0.8861, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.271, root_relative_squared_error: 0.8278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8883, kappa: 0.4668, kb_relative_information_score: 404.5578, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8861, predictive_accuracy: 0.8909, prior_entropy: 0.5368, recall: 0.8909, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.8709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8883, kappa: 0.4668, kb_relative_information_score: 404.5578, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8861, predictive_accuracy: 0.8909, prior_entropy: 0.5368, recall: 0.8909, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.8709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.8885, kappa: 0.4661, kb_relative_information_score: 400.7817, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8861, predictive_accuracy: 0.8916, prior_entropy: 0.5368, recall: 0.8916, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.8622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8471, f_measure: 0.8686, kappa: 0.3071, kb_relative_information_score: -65.4722, mean_absolute_error: 0.1629, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8699, predictive_accuracy: 0.8903, prior_entropy: 0.5368, recall: 0.8903, relative_absolute_error: 0.7586, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2868, root_relative_squared_error: 0.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.8864, kappa: 0.4649, kb_relative_information_score: 269.7127, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8854, predictive_accuracy: 0.8875, prior_entropy: 0.5368, recall: 0.8875, relative_absolute_error: 0.6394, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.8181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.8829, kappa: 0.4197, kb_relative_information_score: 94.5333, mean_absolute_error: 0.1474, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8788, predictive_accuracy: 0.8909, prior_entropy: 0.5368, recall: 0.8909, relative_absolute_error: 0.6864, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2765, root_relative_squared_error: 0.8447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.897, kappa: 0.5322, kb_relative_information_score: 280.6258, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9002, predictive_accuracy: 0.8944, prior_entropy: 0.5368, recall: 0.8944, relative_absolute_error: 0.6311, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2666, root_relative_squared_error: 0.8145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8883, kappa: 0.4668, kb_relative_information_score: 404.5578, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8861, predictive_accuracy: 0.8909, prior_entropy: 0.5368, recall: 0.8909, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.8709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.8699, kappa: 0.3294, kb_relative_information_score: 275.4384, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8659, predictive_accuracy: 0.8861, prior_entropy: 0.5368, recall: 0.8861, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.271, root_relative_squared_error: 0.8278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7166, f_measure: 0.8886, kappa: 0.4728, kb_relative_information_score: 487.0648, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8871, predictive_accuracy: 0.8903, prior_entropy: 0.5368, recall: 0.8903, relative_absolute_error: 0.5223, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.9579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.8699, kappa: 0.3294, kb_relative_information_score: 275.4384, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8659, predictive_accuracy: 0.8861, prior_entropy: 0.5368, recall: 0.8861, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.271, root_relative_squared_error: 0.8278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.897, kappa: 0.5322, kb_relative_information_score: 280.6258, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9002, predictive_accuracy: 0.8944, prior_entropy: 0.5368, recall: 0.8944, relative_absolute_error: 0.6311, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2666, root_relative_squared_error: 0.8145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.8894, kappa: 0.4708, kb_relative_information_score: 396.941, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8871, predictive_accuracy: 0.8923, prior_entropy: 0.5368, recall: 0.8923, relative_absolute_error: 0.5814, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.276, root_relative_squared_error: 0.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.8806, kappa: 0.3906, kb_relative_information_score: 164.6995, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8778, predictive_accuracy: 0.8937, prior_entropy: 0.5368, recall: 0.8937, relative_absolute_error: 0.6521, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2778, root_relative_squared_error: 0.8485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.8699, kappa: 0.3294, kb_relative_information_score: 275.4384, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8659, predictive_accuracy: 0.8861, prior_entropy: 0.5368, recall: 0.8861, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.271, root_relative_squared_error: 0.8278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.8699, kappa: 0.3294, kb_relative_information_score: 275.4384, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8659, predictive_accuracy: 0.8861, prior_entropy: 0.5368, recall: 0.8861, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.271, root_relative_squared_error: 0.8278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.8884, kappa: 0.4458, kb_relative_information_score: 323.5313, mean_absolute_error: 0.1287, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.885, predictive_accuracy: 0.8964, prior_entropy: 0.5368, recall: 0.8964, relative_absolute_error: 0.5993, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.8622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8883, kappa: 0.4668, kb_relative_information_score: 404.5578, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8861, predictive_accuracy: 0.8909, prior_entropy: 0.5368, recall: 0.8909, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.8709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.8699, kappa: 0.3294, kb_relative_information_score: 275.4384, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8659, predictive_accuracy: 0.8861, prior_entropy: 0.5368, recall: 0.8861, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.271, root_relative_squared_error: 0.8278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.8699, kappa: 0.3294, kb_relative_information_score: 275.4384, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8659, predictive_accuracy: 0.8861, prior_entropy: 0.5368, recall: 0.8861, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.271, root_relative_squared_error: 0.8278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.894, kappa: 0.4834, kb_relative_information_score: 343.2484, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8911, predictive_accuracy: 0.8992, prior_entropy: 0.5368, recall: 0.8992, relative_absolute_error: 0.592, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2707, root_relative_squared_error: 0.8269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.8891, kappa: 0.4715, kb_relative_information_score: 434.6683, mean_absolute_error: 0.1192, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8871, predictive_accuracy: 0.8916, prior_entropy: 0.5368, recall: 0.8916, relative_absolute_error: 0.5552, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2952, root_relative_squared_error: 0.9016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.8944, kappa: 0.4862, kb_relative_information_score: 339.4671, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8914, predictive_accuracy: 0.8992, prior_entropy: 0.5368, recall: 0.8992, relative_absolute_error: 0.5939, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2703, root_relative_squared_error: 0.8256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, f_measure: 0.8899, kappa: 0.4728, kb_relative_information_score: 419.3642, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8876, predictive_accuracy: 0.893, prior_entropy: 0.5368, recall: 0.893, relative_absolute_error: 0.5699, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.8496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.8938, kappa: 0.4873, kb_relative_information_score: 193.1233, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8911, predictive_accuracy: 0.8978, prior_entropy: 0.5368, recall: 0.8978, relative_absolute_error: 0.6558, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.8188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.8964, kappa: 0.5015, kb_relative_information_score: 528.4091, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.894, predictive_accuracy: 0.8999, prior_entropy: 0.5368, recall: 0.8999, relative_absolute_error: 0.5172, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.8985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8883, kappa: 0.4668, kb_relative_information_score: 404.5578, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8861, predictive_accuracy: 0.8909, prior_entropy: 0.5368, recall: 0.8909, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.8709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.8864, kappa: 0.4649, kb_relative_information_score: 269.7127, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8854, predictive_accuracy: 0.8875, prior_entropy: 0.5368, recall: 0.8875, relative_absolute_error: 0.6394, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.8181,

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

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From your own software

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

OpenML APIs