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: 0.6956, f_measure: 0.9117, kappa: 0.2123, kb_relative_information_score: -117.5832, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9055, predictive_accuracy: 0.927, prior_entropy: 0.3667, recall: 0.927, relative_absolute_error: 0.8692, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.9629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.646, f_measure: 0.913, kappa: 0.2187, kb_relative_information_score: -55.5307, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9077, predictive_accuracy: 0.9288, prior_entropy: 0.3667, recall: 0.9288, relative_absolute_error: 0.8813, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.8971, kb_relative_information_score: 3.116, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.693, f_measure: 0.9124, kappa: 0.3136, kb_relative_information_score: 46.8609, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9113, predictive_accuracy: 0.9134, prior_entropy: 0.3667, recall: 0.9134, relative_absolute_error: 0.6705, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2908, root_relative_squared_error: 1.1442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.9117, kappa: 0.2123, kb_relative_information_score: -181.1435, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9055, predictive_accuracy: 0.927, prior_entropy: 0.3667, recall: 0.927, relative_absolute_error: 0.8616, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2442, root_relative_squared_error: 0.9607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5325, f_measure: 0.9033, kappa: 0.0929, kb_relative_information_score: 7.4487, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8961, predictive_accuracy: 0.9279, prior_entropy: 0.3667, recall: 0.9279, relative_absolute_error: 0.9562, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2539, root_relative_squared_error: 0.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7454, f_measure: 0.9036, kappa: 0.215, kb_relative_information_score: -86.9244, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8991, predictive_accuracy: 0.9089, prior_entropy: 0.3667, recall: 0.9089, relative_absolute_error: 0.7522, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2585, root_relative_squared_error: 1.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6096, f_measure: 0.912, kappa: 0.2051, kb_relative_information_score: 4.0735, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9068, predictive_accuracy: 0.9288, prior_entropy: 0.3667, recall: 0.9288, relative_absolute_error: 0.9005, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2472, root_relative_squared_error: 0.9727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7042, f_measure: 0.9063, kappa: 0.1861, kb_relative_information_score: -136.7279, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8981, predictive_accuracy: 0.9188, prior_entropy: 0.3667, recall: 0.9188, relative_absolute_error: 0.87, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.9815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.777, f_measure: 0.9098, kappa: 0.242, kb_relative_information_score: -131.1219, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9037, predictive_accuracy: 0.9179, prior_entropy: 0.3667, recall: 0.9179, relative_absolute_error: 0.7844, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2456, root_relative_squared_error: 0.9662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5264, f_measure: 0.9053, kappa: 0.1243, kb_relative_information_score: 7.7129, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8979, predictive_accuracy: 0.927, prior_entropy: 0.3667, recall: 0.927, relative_absolute_error: 0.9455, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.9968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6294, f_measure: 0.9036, kappa: 0.137, kb_relative_information_score: -71.5109, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8935, predictive_accuracy: 0.9206, prior_entropy: 0.3667, recall: 0.9206, relative_absolute_error: 0.906, 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: 0.5294, f_measure: 0.9088, kappa: 0.1616, kb_relative_information_score: 28.6208, mean_absolute_error: 0.121, 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: 0.9312, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2509, root_relative_squared_error: 0.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5295, f_measure: 0.9071, kappa: 0.1431, kb_relative_information_score: 24.1858, mean_absolute_error: 0.1211, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9009, predictive_accuracy: 0.9279, prior_entropy: 0.3667, recall: 0.9279, relative_absolute_error: 0.9324, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2517, root_relative_squared_error: 0.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6089, f_measure: 0.9114, kappa: 0.202, kb_relative_information_score: -4.3851, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9055, predictive_accuracy: 0.9279, prior_entropy: 0.3667, recall: 0.9279, relative_absolute_error: 0.9038, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.9765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5294, f_measure: 0.9088, kappa: 0.1616, kb_relative_information_score: 28.6208, mean_absolute_error: 0.121, 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: 0.9312, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2509, root_relative_squared_error: 0.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7695, f_measure: 0.9157, kappa: 0.3174, kb_relative_information_score: -25.238, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9123, predictive_accuracy: 0.9197, prior_entropy: 0.3667, recall: 0.9197, relative_absolute_error: 0.7282, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2571, root_relative_squared_error: 1.0116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5276, f_measure: 0.9071, kappa: 0.1431, kb_relative_information_score: 27.6333, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9009, predictive_accuracy: 0.9279, prior_entropy: 0.3667, recall: 0.9279, relative_absolute_error: 0.9267, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.252, root_relative_squared_error: 0.9915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.8971, kb_relative_information_score: 3.116, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5893, f_measure: 0.9059, kappa: 0.1475, kb_relative_information_score: -85.92, mean_absolute_error: 0.1195, 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: 0.9202, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2525, root_relative_squared_error: 0.9933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.9087, kappa: 0.2517, kb_relative_information_score: -72.692, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.904, predictive_accuracy: 0.9143, prior_entropy: 0.3667, recall: 0.9143, relative_absolute_error: 0.7767, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.9769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5893, f_measure: 0.9059, kappa: 0.1475, kb_relative_information_score: -85.92, mean_absolute_error: 0.1195, 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: 0.9202, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2525, root_relative_squared_error: 0.9933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.9087, kappa: 0.2517, kb_relative_information_score: -72.692, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.904, predictive_accuracy: 0.9143, prior_entropy: 0.3667, recall: 0.9143, relative_absolute_error: 0.7767, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.9769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7032, f_measure: 0.9149, kappa: 0.3256, kb_relative_information_score: 43.5865, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.913, predictive_accuracy: 0.917, prior_entropy: 0.3667, recall: 0.917, relative_absolute_error: 0.6608, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.8971, kb_relative_information_score: 3.116, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6348, f_measure: 0.9102, kappa: 0.1959, kb_relative_information_score: -21.3705, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9033, predictive_accuracy: 0.9261, prior_entropy: 0.3667, recall: 0.9261, relative_absolute_error: 0.8946, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2489, root_relative_squared_error: 0.9792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.777, f_measure: 0.9098, kappa: 0.242, kb_relative_information_score: -131.1219, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9037, predictive_accuracy: 0.9179, prior_entropy: 0.3667, recall: 0.9179, relative_absolute_error: 0.7844, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2456, root_relative_squared_error: 0.9662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5264, f_measure: 0.9053, kappa: 0.1243, kb_relative_information_score: 7.7129, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8979, predictive_accuracy: 0.927, prior_entropy: 0.3667, recall: 0.927, relative_absolute_error: 0.9455, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.9968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.9047, kappa: 0.1217, kb_relative_information_score: -41.8282, mean_absolute_error: 0.1178, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8964, predictive_accuracy: 0.9261, prior_entropy: 0.3667, recall: 0.9261, relative_absolute_error: 0.9069, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2515, root_relative_squared_error: 0.9896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.8971, kb_relative_information_score: 3.116, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.8971, kb_relative_information_score: 3.116, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5893, f_measure: 0.9059, kappa: 0.1475, kb_relative_information_score: -85.92, mean_absolute_error: 0.1195, 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: 0.9202, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2525, root_relative_squared_error: 0.9933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.91, kappa: 0.2645, kb_relative_information_score: -223.9101, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9057, predictive_accuracy: 0.9152, prior_entropy: 0.3667, recall: 0.9152, relative_absolute_error: 0.7977, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.249, root_relative_squared_error: 0.9796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.8971, kb_relative_information_score: 3.116, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5294, f_measure: 0.9088, kappa: 0.1616, kb_relative_information_score: 28.6208, mean_absolute_error: 0.121, 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: 0.9312, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2509, root_relative_squared_error: 0.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.8971, kb_relative_information_score: 3.116, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7032, f_measure: 0.9149, kappa: 0.3256, kb_relative_information_score: 43.5865, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.913, predictive_accuracy: 0.917, prior_entropy: 0.3667, recall: 0.917, relative_absolute_error: 0.6608, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5294, f_measure: 0.9088, kappa: 0.1616, kb_relative_information_score: 28.6208, mean_absolute_error: 0.121, 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: 0.9312, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2509, root_relative_squared_error: 0.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.8971, kb_relative_information_score: 3.116, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5294, f_measure: 0.9088, kappa: 0.1616, kb_relative_information_score: 28.6208, mean_absolute_error: 0.121, 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: 0.9312, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2509, root_relative_squared_error: 0.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6493, f_measure: 0.912, kappa: 0.2051, kb_relative_information_score: -55.4769, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9068, predictive_accuracy: 0.9288, prior_entropy: 0.3667, recall: 0.9288, relative_absolute_error: 0.884, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2456, root_relative_squared_error: 0.9662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5893, f_measure: 0.9059, kappa: 0.1475, kb_relative_information_score: -85.92, mean_absolute_error: 0.1195, 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: 0.9202, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2525, root_relative_squared_error: 0.9933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5893, f_measure: 0.9059, kappa: 0.1475, kb_relative_information_score: -85.92, mean_absolute_error: 0.1195, 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: 0.9202, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2525, root_relative_squared_error: 0.9933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, f_measure: 0.9038, kappa: 0.0954, kb_relative_information_score: 35.0845, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8984, predictive_accuracy: 0.9288, prior_entropy: 0.3667, recall: 0.9288, relative_absolute_error: 0.9244, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2544, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5294, f_measure: 0.9088, kappa: 0.1616, kb_relative_information_score: 28.6208, mean_absolute_error: 0.121, 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: 0.9312, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2509, root_relative_squared_error: 0.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.8971, kb_relative_information_score: 3.116, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.8971, kb_relative_information_score: 3.116, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7032, f_measure: 0.9149, kappa: 0.3256, kb_relative_information_score: 43.5865, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.913, predictive_accuracy: 0.917, prior_entropy: 0.3667, recall: 0.917, relative_absolute_error: 0.6608, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7888, f_measure: 0.9118, kappa: 0.2661, kb_relative_information_score: -204.2191, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9065, predictive_accuracy: 0.9188, prior_entropy: 0.3667, recall: 0.9188, relative_absolute_error: 0.8046, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.245, root_relative_squared_error: 0.9639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.8971, kb_relative_information_score: 3.116, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5294, f_measure: 0.9088, kappa: 0.1616, kb_relative_information_score: 28.6208, mean_absolute_error: 0.121, 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: 0.9312, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2509, root_relative_squared_error: 0.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5893, f_measure: 0.9059, kappa: 0.1475, kb_relative_information_score: -85.92, mean_absolute_error: 0.1195, 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: 0.9202, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2525, root_relative_squared_error: 0.9933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6999, f_measure: 0.9186, kappa: 0.3549, kb_relative_information_score: 69.1215, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9168, predictive_accuracy: 0.9206, prior_entropy: 0.3667, recall: 0.9206, relative_absolute_error: 0.6654, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2671, root_relative_squared_error: 1.0509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5264, f_measure: 0.9053, kappa: 0.1243, kb_relative_information_score: 7.7129, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8979, predictive_accuracy: 0.927, prior_entropy: 0.3667, recall: 0.927, relative_absolute_error: 0.9455, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.9968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, f_measure: 0.8971, kb_relative_information_score: 3.116, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.866, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7598, f_measure: 0.9063, kappa: 0.1861, kb_relative_information_score: -156.3559, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8981, predictive_accuracy: 0.9188, prior_entropy: 0.3667, recall: 0.9188, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2477, root_relative_squared_error: 0.9744,

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