OpenML
Supervised Classification on cjs

Supervised Classification on cjs

Task 14967 Supervised Classification cjs 10700 runs submitted
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  • OpenML100 study_107 study_123 study_14
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10700 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9907, kappa: 0.9886, kb_relative_information_score: 2712.8175, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 2.5207, recall: 0.9907, relative_absolute_error: 0.0449, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0619, root_relative_squared_error: 0.1676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9875, kappa: 0.9847, kb_relative_information_score: 2700.5812, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9876, predictive_accuracy: 0.9875, prior_entropy: 2.5207, recall: 0.9875, relative_absolute_error: 0.0509, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.067, root_relative_squared_error: 0.1814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5324, f_measure: 0.1067, kappa: 0.0064, kb_relative_information_score: 15.651, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.263, predictive_accuracy: 0.2464, prior_entropy: 2.5207, recall: 0.2464, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.369, root_relative_squared_error: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9851, kappa: 0.9817, kb_relative_information_score: 2694.8625, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9853, predictive_accuracy: 0.985, prior_entropy: 2.5207, recall: 0.985, relative_absolute_error: 0.0532, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0694, root_relative_squared_error: 0.1878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.1718, kappa: 0.0562, kb_relative_information_score: 148.6861, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.5635, predictive_accuracy: 0.2825, prior_entropy: 2.5207, recall: 0.2825, relative_absolute_error: 0.9769, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9975, kappa: 0.9969, kb_relative_information_score: 2694.4502, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 2.5207, recall: 0.9975, relative_absolute_error: 0.0596, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.1735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9694, kappa: 0.9624, kb_relative_information_score: 2339.409, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.97, predictive_accuracy: 0.9692, prior_entropy: 2.5207, recall: 0.9692, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1339, root_relative_squared_error: 0.3624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, kappa: 0.1088, kb_relative_information_score: 206.7736, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, predictive_accuracy: 0.3112, prior_entropy: 2.5207, recall: 0.3112, relative_absolute_error: 0.971, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9724, kappa: 0.966, kb_relative_information_score: 2464.8514, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9735, predictive_accuracy: 0.9721, prior_entropy: 2.5207, recall: 0.9721, relative_absolute_error: 0.1813, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1177, root_relative_squared_error: 0.3186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9363, kappa: 0.9235, kb_relative_information_score: 1793.1607, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9423, predictive_accuracy: 0.9378, prior_entropy: 2.5207, recall: 0.9378, relative_absolute_error: 0.5243, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.5825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5419, kappa: 0.013, kb_relative_information_score: 136.2265, mean_absolute_error: 0.2718, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, predictive_accuracy: 0.235, prior_entropy: 2.5207, recall: 0.235, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.3739, root_relative_squared_error: 1.0122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5679, kappa: 0.0235, kb_relative_information_score: 120.5787, mean_absolute_error: 0.2722, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, predictive_accuracy: 0.2378, prior_entropy: 2.5207, recall: 0.2378, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.3728, root_relative_squared_error: 1.0093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1317.4076, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 1, predictive_accuracy: 1, prior_entropy: 2.5207, recall: 1, relative_absolute_error: 0.7362, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.2765, root_relative_squared_error: 0.7485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9996, kappa: 0.9996, kb_relative_information_score: 2780.8316, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9996, predictive_accuracy: 0.9996, prior_entropy: 2.5207, recall: 0.9996, relative_absolute_error: 0.0109, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.011, root_relative_squared_error: 0.0297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9133, kappa: 0.8938, kb_relative_information_score: 2088.5297, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9153, predictive_accuracy: 0.9131, prior_entropy: 2.5207, recall: 0.9131, relative_absolute_error: 0.3535, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.4925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9478, kappa: 0.93, kb_relative_information_score: 2540.5194, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9637, predictive_accuracy: 0.9424, prior_entropy: 2.5207, recall: 0.9424, relative_absolute_error: 0.1118, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.3124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, f_measure: 0.1181, kappa: 0.015, kb_relative_information_score: 36.096, mean_absolute_error: 0.2719, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.3357, predictive_accuracy: 0.2525, prior_entropy: 2.5207, recall: 0.2525, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.9983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.1809, kappa: 0.0906, kb_relative_information_score: 375.6975, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.4522, predictive_accuracy: 0.2947, prior_entropy: 2.5207, recall: 0.2947, relative_absolute_error: 0.9457, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.9678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4907, kappa: 0.0127, kb_relative_information_score: 27.5848, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, predictive_accuracy: 0.2496, prior_entropy: 2.5207, recall: 0.2496, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9136, kappa: 0.9012, kb_relative_information_score: 1630.6122, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9313, predictive_accuracy: 0.9199, prior_entropy: 2.5207, recall: 0.9199, relative_absolute_error: 0.5876, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.2359, root_relative_squared_error: 0.6386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9993, kappa: 0.9991, kb_relative_information_score: 2778.1342, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 2.5207, recall: 0.9993, relative_absolute_error: 0.0124, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0172, root_relative_squared_error: 0.0465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9971, kappa: 0.9965, kb_relative_information_score: 2769.302, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 2.5207, recall: 0.9971, relative_absolute_error: 0.0168, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0261, root_relative_squared_error: 0.0707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 134.6999, mean_absolute_error: 0.2763, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 1, predictive_accuracy: 1, prior_entropy: 2.5207, recall: 1, relative_absolute_error: 1.0127, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.3708, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6536, kappa: 0.0096, kb_relative_information_score: 69.6447, mean_absolute_error: 0.2719, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, predictive_accuracy: 0.2439, prior_entropy: 2.5207, recall: 0.2439, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.9977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9765, kappa: 0.9712, kb_relative_information_score: 2484.8044, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9769, predictive_accuracy: 0.9764, prior_entropy: 2.5207, recall: 0.9764, relative_absolute_error: 0.1781, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1118, root_relative_squared_error: 0.3028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9907, kappa: 0.9886, kb_relative_information_score: 2746.6351, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 2.5207, recall: 0.9907, relative_absolute_error: 0.027, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0443, root_relative_squared_error: 0.1199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.8912, kappa: 0.8658, kb_relative_information_score: 2114.6981, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8947, predictive_accuracy: 0.8898, prior_entropy: 2.5207, recall: 0.8898, relative_absolute_error: 0.3271, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.4941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9725, kappa: 0.9667, kb_relative_information_score: 134.4252, mean_absolute_error: 0.2765, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9729, predictive_accuracy: 0.9728, prior_entropy: 2.5207, recall: 0.9728, relative_absolute_error: 1.0131, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.3709, root_relative_squared_error: 1.0041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9293, kappa: 0.9131, kb_relative_information_score: 2320.47, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9305, predictive_accuracy: 0.9288, prior_entropy: 2.5207, recall: 0.9288, relative_absolute_error: 0.2347, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.4117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.544, kappa: 0.0369, kb_relative_information_score: 86.0623, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, predictive_accuracy: 0.2611, prior_entropy: 2.5207, recall: 0.2611, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.9985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9343, kappa: 0.9196, kb_relative_information_score: 2534.1813, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9351, predictive_accuracy: 0.9342, prior_entropy: 2.5207, recall: 0.9342, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1221, root_relative_squared_error: 0.3305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7521, f_measure: 0.39, kappa: 0.2743, kb_relative_information_score: 553.9255, mean_absolute_error: 0.2398, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.5335, predictive_accuracy: 0.427, prior_entropy: 2.5207, recall: 0.427, relative_absolute_error: 0.8787, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.9174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9616, kappa: 0.9529, kb_relative_information_score: 2443.252, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9625, predictive_accuracy: 0.9614, prior_entropy: 2.5207, recall: 0.9614, relative_absolute_error: 0.1849, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.126, root_relative_squared_error: 0.3411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6295, kappa: 0.1011, kb_relative_information_score: 251.2926, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, predictive_accuracy: 0.2904, prior_entropy: 2.5207, recall: 0.2904, relative_absolute_error: 0.9726, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.9857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9257, kappa: 0.9087, kb_relative_information_score: 2397.0679, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9265, predictive_accuracy: 0.9253, prior_entropy: 2.5207, recall: 0.9253, relative_absolute_error: 0.2051, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1436, root_relative_squared_error: 0.3888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.978, kappa: 0.9729, kb_relative_information_score: 2501.3681, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9786, predictive_accuracy: 0.9778, prior_entropy: 2.5207, recall: 0.9778, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.108, root_relative_squared_error: 0.2923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9598, kappa: 0.9502, kb_relative_information_score: 2420.5468, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9613, predictive_accuracy: 0.9592, prior_entropy: 2.5207, recall: 0.9592, relative_absolute_error: 0.1945, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.13, root_relative_squared_error: 0.3519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 2194.5471, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 1, predictive_accuracy: 1, prior_entropy: 2.5207, recall: 1, relative_absolute_error: 0.3806, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1475, root_relative_squared_error: 0.3993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.906, kappa: 0.8846, kb_relative_information_score: 2010.6412, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9093, predictive_accuracy: 0.9056, prior_entropy: 2.5207, recall: 0.9056, relative_absolute_error: 0.387, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.5202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, kb_relative_information_score: 0.5399, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, predictive_accuracy: 0.2432, prior_entropy: 2.5207, recall: 0.2432, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.3694, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9975, kappa: 0.9969, kb_relative_information_score: 2776.4375, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 2.5207, recall: 0.9975, relative_absolute_error: 0.0114, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0285, root_relative_squared_error: 0.0771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9893, kappa: 0.9869, kb_relative_information_score: 148.1608, mean_absolute_error: 0.2755, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9894, predictive_accuracy: 0.9893, prior_entropy: 2.5207, recall: 0.9893, relative_absolute_error: 1.0096, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.3696, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9836, kappa: 0.9799, kb_relative_information_score: 2579.4356, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9839, predictive_accuracy: 0.9835, prior_entropy: 2.5207, recall: 0.9835, relative_absolute_error: 0.1237, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0926, root_relative_squared_error: 0.2507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, kb_relative_information_score: 0.5399, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, predictive_accuracy: 0.2432, prior_entropy: 2.5207, recall: 0.2432, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.3694, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.5522, kappa: 0.4532, kb_relative_information_score: 117.1529, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.7767, predictive_accuracy: 0.5647, prior_entropy: 2.5207, recall: 0.5647, relative_absolute_error: 1.0166, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.3722, root_relative_squared_error: 1.0076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9907, kappa: 0.9886, kb_relative_information_score: 2712.8175, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9907, predictive_accuracy: 0.9907, prior_entropy: 2.5207, recall: 0.9907, relative_absolute_error: 0.0449, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0619, root_relative_squared_error: 0.1676,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9989, kappa: 0.9987, kb_relative_information_score: 2776.163, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9989, predictive_accuracy: 0.9989, prior_entropy: 2.5207, recall: 0.9989, relative_absolute_error: 0.0137, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0163, root_relative_squared_error: 0.0442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.8789, kappa: 0.8508, kb_relative_information_score: 2022.098, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8825, predictive_accuracy: 0.8777, prior_entropy: 2.5207, recall: 0.8777, relative_absolute_error: 0.3662, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6679, f_measure: 0.3423, kappa: 0.1963, kb_relative_information_score: 367.5381, mean_absolute_error: 0.2599, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.3889, predictive_accuracy: 0.3544, prior_entropy: 2.5207, recall: 0.3544, relative_absolute_error: 0.9525, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9871, kappa: 0.9843, kb_relative_information_score: 2708.5081, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9872, predictive_accuracy: 0.9871, prior_entropy: 2.5207, recall: 0.9871, relative_absolute_error: 0.046, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0648, root_relative_squared_error: 0.1754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9467, kappa: 0.9349, kb_relative_information_score: 2500.904, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9468, predictive_accuracy: 0.9467, prior_entropy: 2.5207, recall: 0.9467, relative_absolute_error: 0.1577, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1177, root_relative_squared_error: 0.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9993, kappa: 0.9991, kb_relative_information_score: 2779.4217, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 2.5207, recall: 0.9993, relative_absolute_error: 0.0114, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0137, root_relative_squared_error: 0.0372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.95, kappa: 0.9385, kb_relative_information_score: 2556.709, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.951, predictive_accuracy: 0.9496, prior_entropy: 2.5207, recall: 0.9496, relative_absolute_error: 0.1156, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.2994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, kb_relative_information_score: 0.5399, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, predictive_accuracy: 0.2432, prior_entropy: 2.5207, recall: 0.2432, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.3694, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.894, kappa: 0.8702, kb_relative_information_score: 1868.6128, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8995, predictive_accuracy: 0.8938, prior_entropy: 2.5207, recall: 0.8938, relative_absolute_error: 0.455, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.5635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.8805, kappa: 0.8527, kb_relative_information_score: 2157.4119, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8844, predictive_accuracy: 0.8791, prior_entropy: 2.5207, recall: 0.8791, relative_absolute_error: 0.2987, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.4879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9706, kappa: 0.9633, kb_relative_information_score: 2644.1557, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9731, predictive_accuracy: 0.97, prior_entropy: 2.5207, recall: 0.97, relative_absolute_error: 0.0677, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0855, root_relative_squared_error: 0.2315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9853, kappa: 0.9821, kb_relative_information_score: 2707.4362, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9854, predictive_accuracy: 0.9853, prior_entropy: 2.5207, recall: 0.9853, relative_absolute_error: 0.0457, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0668, root_relative_squared_error: 0.1808,

Metric:

Timeline

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Leaderboard

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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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