OpenML
Supervised Classification on pc1

Supervised Classification on pc1

Task 3918 Supervised Classification pc1 147053 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
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147053 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7376, f_measure: 0.9029, kappa: 0.2044, kb_relative_information_score: -219.4214, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8978, predictive_accuracy: 0.9089, prior_entropy: 0.3667, recall: 0.9089, relative_absolute_error: 0.7417, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2633, root_relative_squared_error: 1.0358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7457, f_measure: 0.903, kappa: 0.1803, kb_relative_information_score: -301.9574, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8956, predictive_accuracy: 0.9125, prior_entropy: 0.3667, recall: 0.9125, relative_absolute_error: 0.7693, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7643, f_measure: 0.9111, kappa: 0.1828, kb_relative_information_score: -357.2129, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.908, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.7829, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.9612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.9091, kappa: 0.2392, kb_relative_information_score: -291.4177, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9032, predictive_accuracy: 0.917, prior_entropy: 0.3667, recall: 0.917, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2512, root_relative_squared_error: 0.9881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7712, f_measure: 0.9105, kappa: 0.1797, kb_relative_information_score: -391.2539, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9063, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.7961, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7093, f_measure: 0.9094, kappa: 0.2816, kb_relative_information_score: -77.9023, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9073, predictive_accuracy: 0.9116, prior_entropy: 0.3667, recall: 0.9116, relative_absolute_error: 0.7086, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2764, root_relative_squared_error: 1.0872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7005, f_measure: 0.9062, kappa: 0.2407, kb_relative_information_score: -276.1345, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9023, predictive_accuracy: 0.9107, prior_entropy: 0.3667, recall: 0.9107, relative_absolute_error: 0.7933, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2761, root_relative_squared_error: 1.0862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7498, f_measure: 0.9027, kappa: 0.1706, kb_relative_information_score: -385.9272, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8947, predictive_accuracy: 0.9134, prior_entropy: 0.3667, recall: 0.9134, relative_absolute_error: 0.7972, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2502, root_relative_squared_error: 0.9843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.73, f_measure: 0.9106, kappa: 0.2674, kb_relative_information_score: -277.3216, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9061, predictive_accuracy: 0.9161, prior_entropy: 0.3667, recall: 0.9161, relative_absolute_error: 0.7633, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2605, root_relative_squared_error: 1.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7706, f_measure: 0.9076, kappa: 0.1558, kb_relative_information_score: -397.3741, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9008, predictive_accuracy: 0.927, prior_entropy: 0.3667, recall: 0.927, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.248, root_relative_squared_error: 0.9757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7639, f_measure: 0.9076, kappa: 0.1558, kb_relative_information_score: -398.4498, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9008, predictive_accuracy: 0.927, prior_entropy: 0.3667, recall: 0.927, relative_absolute_error: 0.8043, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2484, root_relative_squared_error: 0.9773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7415, f_measure: 0.9086, kappa: 0.2441, kb_relative_information_score: -310.8922, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9033, predictive_accuracy: 0.9152, prior_entropy: 0.3667, recall: 0.9152, relative_absolute_error: 0.7664, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.9824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.769, f_measure: 0.9094, kappa: 0.1645, kb_relative_information_score: -391.751, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9054, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.7985, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2456, root_relative_squared_error: 0.9663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.9035, kappa: 0.1463, kb_relative_information_score: -367.2294, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8937, predictive_accuracy: 0.9188, prior_entropy: 0.3667, recall: 0.9188, relative_absolute_error: 0.7971, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.9748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7725, f_measure: 0.9094, kappa: 0.1645, kb_relative_information_score: -360.2006, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9054, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.79, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2464, root_relative_squared_error: 0.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.9053, kappa: 0.1448, kb_relative_information_score: -382.9228, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8962, predictive_accuracy: 0.9234, prior_entropy: 0.3667, recall: 0.9234, relative_absolute_error: 0.7933, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.9741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, f_measure: 0.9094, kappa: 0.1645, kb_relative_information_score: -349.2147, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9054, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.7815, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.9626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7779, f_measure: 0.9111, kappa: 0.1828, kb_relative_information_score: -355.8007, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.908, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.7855, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.9588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7313, f_measure: 0.9041, kappa: 0.2094, kb_relative_information_score: -301.966, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8986, predictive_accuracy: 0.9107, prior_entropy: 0.3667, recall: 0.9107, relative_absolute_error: 0.7732, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2585, root_relative_squared_error: 1.0168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, f_measure: 0.9052, kappa: 0.2061, kb_relative_information_score: -341.4202, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8987, predictive_accuracy: 0.9134, prior_entropy: 0.3667, recall: 0.9134, relative_absolute_error: 0.7835, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2552, root_relative_squared_error: 1.0042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.776, f_measure: 0.9105, kappa: 0.1797, kb_relative_information_score: -364.2231, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9063, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.7879, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.9567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.749, f_measure: 0.9102, kappa: 0.2368, kb_relative_information_score: -293.327, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9037, predictive_accuracy: 0.9197, prior_entropy: 0.3667, recall: 0.9197, relative_absolute_error: 0.7551, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7623, f_measure: 0.907, kappa: 0.2141, kb_relative_information_score: -283.6196, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9002, predictive_accuracy: 0.9161, prior_entropy: 0.3667, recall: 0.9161, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2519, root_relative_squared_error: 0.9911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, f_measure: 0.9088, kappa: 0.2724, kb_relative_information_score: -236.1102, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9062, predictive_accuracy: 0.9116, prior_entropy: 0.3667, recall: 0.9116, relative_absolute_error: 0.7467, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.25, root_relative_squared_error: 0.9836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7512, f_measure: 0.9059, kappa: 0.1475, kb_relative_information_score: -391.5747, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8972, predictive_accuracy: 0.9243, prior_entropy: 0.3667, recall: 0.9243, relative_absolute_error: 0.8015, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2487, root_relative_squared_error: 0.9785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7539, f_measure: 0.9035, kappa: 0.1463, kb_relative_information_score: -367.2672, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8937, predictive_accuracy: 0.9188, prior_entropy: 0.3667, recall: 0.9188, relative_absolute_error: 0.7977, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2484, root_relative_squared_error: 0.9772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7684, f_measure: 0.9042, kappa: 0.1853, kb_relative_information_score: -293.4036, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8965, predictive_accuracy: 0.9143, prior_entropy: 0.3667, recall: 0.9143, relative_absolute_error: 0.7667, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2467, root_relative_squared_error: 0.9705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.9105, kappa: 0.1797, kb_relative_information_score: -365.1713, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9063, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.7877, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2428, root_relative_squared_error: 0.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, f_measure: 0.9065, kappa: 0.1502, kb_relative_information_score: -331.1862, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8983, predictive_accuracy: 0.9252, prior_entropy: 0.3667, recall: 0.9252, relative_absolute_error: 0.7795, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.9585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7274, f_measure: 0.9081, kappa: 0.2489, kb_relative_information_score: -301.8623, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9036, predictive_accuracy: 0.9134, prior_entropy: 0.3667, recall: 0.9134, relative_absolute_error: 0.7785, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2637, root_relative_squared_error: 1.0376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7501, f_measure: 0.903, kappa: 0.1803, kb_relative_information_score: -324.3047, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8956, predictive_accuracy: 0.9125, prior_entropy: 0.3667, recall: 0.9125, relative_absolute_error: 0.7753, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7761, f_measure: 0.9094, kappa: 0.1645, kb_relative_information_score: -392.5607, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9054, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.7992, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2446, root_relative_squared_error: 0.9625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7505, f_measure: 0.903, kappa: 0.1803, kb_relative_information_score: -326.6412, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8956, predictive_accuracy: 0.9125, prior_entropy: 0.3667, recall: 0.9125, relative_absolute_error: 0.7772, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.9801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7162, f_measure: 0.9063, kappa: 0.248, kb_relative_information_score: -301.704, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9031, predictive_accuracy: 0.9098, prior_entropy: 0.3667, recall: 0.9098, relative_absolute_error: 0.7816, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2651, root_relative_squared_error: 1.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7447, f_measure: 0.9059, kappa: 0.1475, kb_relative_information_score: -399.1278, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8972, predictive_accuracy: 0.9243, prior_entropy: 0.3667, recall: 0.9243, relative_absolute_error: 0.805, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.249, root_relative_squared_error: 0.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.9002, kappa: 0.2158, kb_relative_information_score: -313.8943, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8987, predictive_accuracy: 0.9017, prior_entropy: 0.3667, recall: 0.9017, relative_absolute_error: 0.8096, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2752, root_relative_squared_error: 1.0828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7435, f_measure: 0.908, kappa: 0.2414, kb_relative_information_score: -297.7006, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9029, predictive_accuracy: 0.9143, prior_entropy: 0.3667, recall: 0.9143, relative_absolute_error: 0.761, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2486, root_relative_squared_error: 0.9781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.745, f_measure: 0.9059, kappa: 0.1475, kb_relative_information_score: -400.3462, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8972, predictive_accuracy: 0.9243, prior_entropy: 0.3667, recall: 0.9243, relative_absolute_error: 0.8039, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.9805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7481, f_measure: 0.9092, kappa: 0.247, kb_relative_information_score: -371.2301, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9038, predictive_accuracy: 0.9161, prior_entropy: 0.3667, recall: 0.9161, relative_absolute_error: 0.789, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.9832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7275, f_measure: 0.908, kappa: 0.2414, kb_relative_information_score: -288.4086, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9029, predictive_accuracy: 0.9143, prior_entropy: 0.3667, recall: 0.9143, relative_absolute_error: 0.7728, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2631, root_relative_squared_error: 1.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.769, f_measure: 0.9065, kappa: 0.1502, kb_relative_information_score: -311.2234, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8983, predictive_accuracy: 0.9252, prior_entropy: 0.3667, recall: 0.9252, relative_absolute_error: 0.7756, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.9581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7576, f_measure: 0.9018, kappa: 0.1754, kb_relative_information_score: -315.1828, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8946, predictive_accuracy: 0.9107, prior_entropy: 0.3667, recall: 0.9107, relative_absolute_error: 0.7736, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.9828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7369, f_measure: 0.9068, kappa: 0.2359, kb_relative_information_score: -330.4878, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.902, predictive_accuracy: 0.9125, prior_entropy: 0.3667, recall: 0.9125, relative_absolute_error: 0.7795, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2527, root_relative_squared_error: 0.9942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7638, f_measure: 0.909, kappa: 0.231, kb_relative_information_score: -274.4085, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9025, predictive_accuracy: 0.9179, prior_entropy: 0.3667, recall: 0.9179, relative_absolute_error: 0.7511, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2505, root_relative_squared_error: 0.9853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7885, f_measure: 0.9088, kappa: 0.1616, kb_relative_information_score: -370.6919, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9037, predictive_accuracy: 0.9288, prior_entropy: 0.3667, recall: 0.9288, relative_absolute_error: 0.7924, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.245, root_relative_squared_error: 0.9637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7651, f_measure: 0.9105, kappa: 0.1797, kb_relative_information_score: -395.6827, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9063, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.7979, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2445, root_relative_squared_error: 0.9619,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7744, f_measure: 0.9059, kappa: 0.1475, kb_relative_information_score: -330.8366, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8972, predictive_accuracy: 0.9243, prior_entropy: 0.3667, recall: 0.9243, relative_absolute_error: 0.7814, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.9589,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7463, f_measure: 0.9086, kappa: 0.2441, kb_relative_information_score: -396.7311, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9033, predictive_accuracy: 0.9152, prior_entropy: 0.3667, recall: 0.9152, relative_absolute_error: 0.7997, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2511, root_relative_squared_error: 0.988,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7434, f_measure: 0.9131, kappa: 0.2794, kb_relative_information_score: -92.8697, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9082, predictive_accuracy: 0.9197, prior_entropy: 0.3667, recall: 0.9197, relative_absolute_error: 0.6864, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2599, root_relative_squared_error: 1.0225,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7446, f_measure: 0.9111, kappa: 0.2557, kb_relative_information_score: -303.2299, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9054, predictive_accuracy: 0.9188, prior_entropy: 0.3667, recall: 0.9188, relative_absolute_error: 0.7684, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.258, root_relative_squared_error: 1.0149,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7374, f_measure: 0.9031, kappa: 0.2204, kb_relative_information_score: -310.0122, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8995, predictive_accuracy: 0.9071, prior_entropy: 0.3667, recall: 0.9071, relative_absolute_error: 0.7821, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2606, root_relative_squared_error: 1.0253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7645, f_measure: 0.9088, kappa: 0.2225, kb_relative_information_score: -309.8086, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9019, predictive_accuracy: 0.9188, prior_entropy: 0.3667, recall: 0.9188, relative_absolute_error: 0.7612, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.9047, kappa: 0.1422, kb_relative_information_score: -310.6955, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8952, predictive_accuracy: 0.9225, prior_entropy: 0.3667, recall: 0.9225, relative_absolute_error: 0.7735, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2445, root_relative_squared_error: 0.9619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7312, f_measure: 0.9026, kappa: 0.2254, kb_relative_information_score: -242.7054, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9, predictive_accuracy: 0.9053, prior_entropy: 0.3667, recall: 0.9053, relative_absolute_error: 0.767, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2716, root_relative_squared_error: 1.0684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7797, f_measure: 0.9111, kappa: 0.1828, kb_relative_information_score: -353.3111, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.908, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.7824, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.9567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, f_measure: 0.9105, kappa: 0.1797, kb_relative_information_score: -355.2814, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9063, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.7848, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.9532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, f_measure: 0.8984, kappa: 0.209, kb_relative_information_score: -332.0433, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8978, predictive_accuracy: 0.899, prior_entropy: 0.3667, recall: 0.899, relative_absolute_error: 0.8123, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2793, root_relative_squared_error: 1.0988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7702, f_measure: 0.9053, kappa: 0.1448, kb_relative_information_score: -369.3203, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8962, predictive_accuracy: 0.9234, prior_entropy: 0.3667, recall: 0.9234, relative_absolute_error: 0.7874, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.247, root_relative_squared_error: 0.9716,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, f_measure: 0.9111, kappa: 0.1828, kb_relative_information_score: -368.5876, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.908, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.7866, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.9641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7499, f_measure: 0.9026, kappa: 0.2327, kb_relative_information_score: -182.7873, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9009, predictive_accuracy: 0.9044, prior_entropy: 0.3667, recall: 0.9044, relative_absolute_error: 0.7487, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2609, root_relative_squared_error: 1.0263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7392, f_measure: 0.9067, kappa: 0.2281, kb_relative_information_score: -345.7829, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9012, predictive_accuracy: 0.9134, prior_entropy: 0.3667, recall: 0.9134, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2563, root_relative_squared_error: 1.0084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7806, f_measure: 0.9082, kappa: 0.1586, kb_relative_information_score: -365.584, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9022, predictive_accuracy: 0.9279, prior_entropy: 0.3667, recall: 0.9279, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.245, root_relative_squared_error: 0.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.9023, kappa: 0.1413, kb_relative_information_score: -374.1977, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8924, predictive_accuracy: 0.917, prior_entropy: 0.3667, recall: 0.917, relative_absolute_error: 0.802, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.9805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7634, f_measure: 0.9065, kappa: 0.2199, kb_relative_information_score: -289.4148, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9004, predictive_accuracy: 0.9143, prior_entropy: 0.3667, recall: 0.9143, relative_absolute_error: 0.7586, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2512, root_relative_squared_error: 0.9883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7772, f_measure: 0.9088, kappa: 0.1616, kb_relative_information_score: -370.1935, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9037, predictive_accuracy: 0.9288, prior_entropy: 0.3667, recall: 0.9288, relative_absolute_error: 0.7916, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2455, root_relative_squared_error: 0.9659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7343, f_measure: 0.9119, kappa: 0.2733, kb_relative_information_score: -149.7717, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9071, predictive_accuracy: 0.9179, prior_entropy: 0.3667, recall: 0.9179, relative_absolute_error: 0.709, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2643, root_relative_squared_error: 1.0399,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7408, f_measure: 0.9, kappa: 0.1924, kb_relative_information_score: -251.7106, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8959, predictive_accuracy: 0.9044, prior_entropy: 0.3667, recall: 0.9044, relative_absolute_error: 0.7657, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2687, root_relative_squared_error: 1.0572,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7438, f_measure: 0.9018, kappa: 0.1754, kb_relative_information_score: -339.613, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8946, predictive_accuracy: 0.9107, prior_entropy: 0.3667, recall: 0.9107, relative_absolute_error: 0.7858, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2521, root_relative_squared_error: 0.9918,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7039, f_measure: 0.9088, kappa: 0.2658, kb_relative_information_score: -252.4465, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9055, predictive_accuracy: 0.9125, prior_entropy: 0.3667, recall: 0.9125, relative_absolute_error: 0.7768, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2731, root_relative_squared_error: 1.0746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7346, f_measure: 0.9016, kappa: 0.191, kb_relative_information_score: -340.5754, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8961, predictive_accuracy: 0.908, prior_entropy: 0.3667, recall: 0.908, relative_absolute_error: 0.7949, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2617, root_relative_squared_error: 1.0295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7073, f_measure: 0.9069, kappa: 0.2707, kb_relative_information_score: -109.7117, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9058, predictive_accuracy: 0.908, prior_entropy: 0.3667, recall: 0.908, relative_absolute_error: 0.7373, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2844, root_relative_squared_error: 1.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7573, f_measure: 0.9057, kappa: 0.1835, kb_relative_information_score: -378.2237, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8974, predictive_accuracy: 0.9179, prior_entropy: 0.3667, recall: 0.9179, relative_absolute_error: 0.7938, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2477, root_relative_squared_error: 0.9743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7341, f_measure: 0.9056, kappa: 0.1998, kb_relative_information_score: -337.1188, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8984, predictive_accuracy: 0.9152, prior_entropy: 0.3667, recall: 0.9152, relative_absolute_error: 0.7811, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.255, root_relative_squared_error: 1.0034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7598, f_measure: 0.9018, kappa: 0.2076, kb_relative_information_score: -291.0011, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8979, predictive_accuracy: 0.9062, prior_entropy: 0.3667, recall: 0.9062, relative_absolute_error: 0.7738, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7769, f_measure: 0.9053, kappa: 0.1448, kb_relative_information_score: -392.3813, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8962, predictive_accuracy: 0.9234, prior_entropy: 0.3667, recall: 0.9234, relative_absolute_error: 0.7987, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7432, f_measure: 0.9086, kappa: 0.2441, kb_relative_information_score: -303.2156, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9033, predictive_accuracy: 0.9152, prior_entropy: 0.3667, recall: 0.9152, relative_absolute_error: 0.7617, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.9801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6776, f_measure: 0.9144, kappa: 0.3112, kb_relative_information_score: -48.3197, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9114, predictive_accuracy: 0.9179, prior_entropy: 0.3667, recall: 0.9179, relative_absolute_error: 0.6965, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2828, root_relative_squared_error: 1.1124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.9086, kappa: 0.2441, kb_relative_information_score: -378.1549, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9033, predictive_accuracy: 0.9152, prior_entropy: 0.3667, recall: 0.9152, relative_absolute_error: 0.7932, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.9866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7277, f_measure: 0.9138, kappa: 0.3021, kb_relative_information_score: -152.9139, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9103, predictive_accuracy: 0.9179, prior_entropy: 0.3667, recall: 0.9179, relative_absolute_error: 0.7246, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2647, root_relative_squared_error: 1.0413,

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