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: 0.8635, f_measure: 0.9005, kappa: 0.0428, kb_relative_information_score: -0.3996, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9306, number_of_instances: 1109, precision: 0.9021, predictive_accuracy: 0.9306, prior_entropy: 0.3638, relative_absolute_error: 0.8408, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.9133, unweighted_recall: 0.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8455, kb_relative_information_score: -0.4124, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9306, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, relative_absolute_error: 0.8792, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.9293, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.923, kappa: 0.3549, kb_relative_information_score: -0.1237, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9297, number_of_instances: 1109, precision: 0.9189, predictive_accuracy: 0.9297, prior_entropy: 0.3638, relative_absolute_error: 0.7065, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2419, root_relative_squared_error: 0.9517, unweighted_recall: 0.6497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.923, kappa: 0.3373, kb_relative_information_score: -0.1687, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9324, number_of_instances: 1109, precision: 0.919, predictive_accuracy: 0.9324, prior_entropy: 0.3638, relative_absolute_error: 0.7228, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.909, unweighted_recall: 0.6332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.9213, kappa: 0.3018, kb_relative_information_score: -0.2026, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9342, number_of_instances: 1109, precision: 0.9186, predictive_accuracy: 0.9342, prior_entropy: 0.3638, relative_absolute_error: 0.7596, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.879, unweighted_recall: 0.6101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.9236, kappa: 0.3347, kb_relative_information_score: -0.1352, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9342, number_of_instances: 1109, precision: 0.9203, predictive_accuracy: 0.9342, prior_entropy: 0.3638, relative_absolute_error: 0.7269, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.8916, unweighted_recall: 0.6281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.9222, kappa: 0.3202, kb_relative_information_score: -0.1112, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9333, number_of_instances: 1109, precision: 0.9186, predictive_accuracy: 0.9333, prior_entropy: 0.3638, relative_absolute_error: 0.7087, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.9037, unweighted_recall: 0.6216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, kb_relative_information_score: -0.3435, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9306, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.9268, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8464, f_measure: 0.9223, kappa: 0.3456, kb_relative_information_score: -0.1193, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9297, number_of_instances: 1109, precision: 0.918, predictive_accuracy: 0.9297, prior_entropy: 0.3638, relative_absolute_error: 0.6937, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.9274, unweighted_recall: 0.6437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.9222, kappa: 0.3202, kb_relative_information_score: -0.1392, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9333, number_of_instances: 1109, precision: 0.9186, predictive_accuracy: 0.9333, prior_entropy: 0.3638, relative_absolute_error: 0.7137, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.9068, unweighted_recall: 0.6216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8594, f_measure: 0.9243, kappa: 0.3386, kb_relative_information_score: -0.1253, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9351, number_of_instances: 1109, precision: 0.9214, predictive_accuracy: 0.9351, prior_entropy: 0.3638, relative_absolute_error: 0.7176, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.8848, unweighted_recall: 0.6286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.9236, kappa: 0.328, kb_relative_information_score: -0.1374, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9351, number_of_instances: 1109, precision: 0.9209, predictive_accuracy: 0.9351, prior_entropy: 0.3638, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.8857, unweighted_recall: 0.6226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, kb_relative_information_score: 0.0035, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9306, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.922, kappa: 0.3057, kb_relative_information_score: -0.1833, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9351, number_of_instances: 1109, precision: 0.92, predictive_accuracy: 0.9351, prior_entropy: 0.3638, relative_absolute_error: 0.758, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.8836, unweighted_recall: 0.6106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.9249, kappa: 0.336, kb_relative_information_score: -0.1624, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9369, number_of_instances: 1109, precision: 0.9234, predictive_accuracy: 0.9369, prior_entropy: 0.3638, relative_absolute_error: 0.7441, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2215, root_relative_squared_error: 0.8715, unweighted_recall: 0.6236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.9257, kappa: 0.3646, kb_relative_information_score: -0.1449, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9342, number_of_instances: 1109, precision: 0.9221, predictive_accuracy: 0.9342, prior_entropy: 0.3638, relative_absolute_error: 0.7145, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.23, root_relative_squared_error: 0.9048, unweighted_recall: 0.6462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.9237, kappa: 0.353, kb_relative_information_score: -0.1139, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9315, number_of_instances: 1109, precision: 0.9196, predictive_accuracy: 0.9315, prior_entropy: 0.3638, relative_absolute_error: 0.6963, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2352, root_relative_squared_error: 0.9255, unweighted_recall: 0.6447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.9221, kappa: 0.3131, kb_relative_information_score: -0.2133, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9342, number_of_instances: 1109, precision: 0.9192, predictive_accuracy: 0.9342, prior_entropy: 0.3638, relative_absolute_error: 0.7699, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.8834, unweighted_recall: 0.6161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, f_measure: 0.9231, kappa: 0.3058, kb_relative_information_score: -0.2404, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9378, number_of_instances: 1109, precision: 0.9244, predictive_accuracy: 0.9378, prior_entropy: 0.3638, relative_absolute_error: 0.7798, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.8834, unweighted_recall: 0.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, f_measure: 0.9257, kappa: 0.3529, kb_relative_information_score: -0.1469, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.1299, weighted_recall: 0.936, number_of_instances: 1109, precision: 0.923, predictive_accuracy: 0.936, prior_entropy: 0.3638, relative_absolute_error: 0.7298, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.222, root_relative_squared_error: 0.8736, unweighted_recall: 0.6351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.922, kappa: 0.3057, kb_relative_information_score: -0.1935, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9351, number_of_instances: 1109, precision: 0.92, predictive_accuracy: 0.9351, prior_entropy: 0.3638, relative_absolute_error: 0.7448, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.883, unweighted_recall: 0.6106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.902, kappa: 0.0629, kb_relative_information_score: -0.3388, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9306, number_of_instances: 1109, precision: 0.9029, predictive_accuracy: 0.9306, prior_entropy: 0.3638, relative_absolute_error: 0.8328, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.904, unweighted_recall: 0.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.9271, kappa: 0.367, kb_relative_information_score: -0.1824, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9369, number_of_instances: 1109, precision: 0.9246, predictive_accuracy: 0.9369, prior_entropy: 0.3638, relative_absolute_error: 0.7488, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.8817, unweighted_recall: 0.6416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, f_measure: 0.9264, kappa: 0.3686, kb_relative_information_score: -0.127, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9351, number_of_instances: 1109, precision: 0.9231, predictive_accuracy: 0.9351, prior_entropy: 0.3638, relative_absolute_error: 0.7077, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.8982, unweighted_recall: 0.6466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.9126, kappa: 0.2084, kb_relative_information_score: -0.1416, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9297, number_of_instances: 1109, precision: 0.9081, predictive_accuracy: 0.9297, prior_entropy: 0.3638, relative_absolute_error: 0.7612, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.8832, unweighted_recall: 0.5716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8491, f_measure: 0.9198, kappa: 0.2864, kb_relative_information_score: -0.0949, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9333, number_of_instances: 1109, precision: 0.9168, predictive_accuracy: 0.9333, prior_entropy: 0.3638, relative_absolute_error: 0.712, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.8918, unweighted_recall: 0.6036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.9271, kappa: 0.367, kb_relative_information_score: -0.1824, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9369, number_of_instances: 1109, precision: 0.9246, predictive_accuracy: 0.9369, prior_entropy: 0.3638, relative_absolute_error: 0.7488, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.8817, unweighted_recall: 0.6416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.9184, kappa: 0.2562, kb_relative_information_score: -0.2375, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9351, number_of_instances: 1109, precision: 0.9188, predictive_accuracy: 0.9351, prior_entropy: 0.3638, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.881, unweighted_recall: 0.5865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.9271, kappa: 0.367, kb_relative_information_score: -0.1824, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9369, number_of_instances: 1109, precision: 0.9246, predictive_accuracy: 0.9369, prior_entropy: 0.3638, relative_absolute_error: 0.7488, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.8817, unweighted_recall: 0.6416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8491, f_measure: 0.9203, kappa: 0.3349, kb_relative_information_score: -0.1417, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.1299, weighted_recall: 0.927, number_of_instances: 1109, precision: 0.916, predictive_accuracy: 0.927, prior_entropy: 0.3638, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.9356, unweighted_recall: 0.6423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7179, kb_relative_information_score: -0.0483, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9306, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, relative_absolute_error: 0.9574, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2475, root_relative_squared_error: 0.9735, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.9189, kappa: 0.2743, kb_relative_information_score: -0.1165, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9333, number_of_instances: 1109, precision: 0.9163, predictive_accuracy: 0.9333, prior_entropy: 0.3638, relative_absolute_error: 0.7344, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.8709, unweighted_recall: 0.5976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, kb_relative_information_score: -0.3646, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9306, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, relative_absolute_error: 0.8666, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2344, root_relative_squared_error: 0.9221, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.9221, kappa: 0.3131, kb_relative_information_score: -0.1254, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9342, number_of_instances: 1109, precision: 0.9192, predictive_accuracy: 0.9342, prior_entropy: 0.3638, relative_absolute_error: 0.7299, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.8923, unweighted_recall: 0.6161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.9236, kappa: 0.364, kb_relative_information_score: -0.1221, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9297, number_of_instances: 1109, precision: 0.9197, predictive_accuracy: 0.9297, prior_entropy: 0.3638, relative_absolute_error: 0.7016, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.953, unweighted_recall: 0.6557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, f_measure: 0.9193, kappa: 0.2906, kb_relative_information_score: -0.1544, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9315, number_of_instances: 1109, precision: 0.9152, predictive_accuracy: 0.9315, prior_entropy: 0.3638, relative_absolute_error: 0.7305, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.894, unweighted_recall: 0.6086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, kb_relative_information_score: -0.4035, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9306, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, relative_absolute_error: 0.9087, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2403, root_relative_squared_error: 0.9455, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.9064, kappa: 0.1297, kb_relative_information_score: -0.0903, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9288, number_of_instances: 1109, precision: 0.9013, predictive_accuracy: 0.9288, prior_entropy: 0.3638, relative_absolute_error: 0.8008, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.8951, unweighted_recall: 0.5411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.92, kappa: 0.2943, kb_relative_information_score: -0.1295, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9324, number_of_instances: 1109, precision: 0.9163, predictive_accuracy: 0.9324, prior_entropy: 0.3638, relative_absolute_error: 0.724, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.8762, unweighted_recall: 0.6091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: -0.259, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9378, number_of_instances: 1109, precision: 0.9245, predictive_accuracy: 0.9378, prior_entropy: 0.3638, relative_absolute_error: 0.7891, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.8901, unweighted_recall: 0.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, kb_relative_information_score: -0.3976, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9306, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, relative_absolute_error: 0.9086, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2401, root_relative_squared_error: 0.9444, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.9229, kappa: 0.3241, kb_relative_information_score: -0.1527, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9342, number_of_instances: 1109, precision: 0.9197, predictive_accuracy: 0.9342, prior_entropy: 0.3638, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.8783, unweighted_recall: 0.6221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8678, f_measure: 0.925, kappa: 0.3426, kb_relative_information_score: -0.1522, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.1299, weighted_recall: 0.936, number_of_instances: 1109, precision: 0.9225, predictive_accuracy: 0.936, prior_entropy: 0.3638, relative_absolute_error: 0.732, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.884, unweighted_recall: 0.6291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.9193, kappa: 0.2906, kb_relative_information_score: -0.148, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9315, number_of_instances: 1109, precision: 0.9152, predictive_accuracy: 0.9315, prior_entropy: 0.3638, relative_absolute_error: 0.7381, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.8916, unweighted_recall: 0.6086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8678, f_measure: 0.92, kappa: 0.2943, kb_relative_information_score: -0.1442, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9324, number_of_instances: 1109, precision: 0.9163, predictive_accuracy: 0.9324, prior_entropy: 0.3638, relative_absolute_error: 0.7388, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.879, unweighted_recall: 0.6091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8782, f_measure: 0.9234, kappa: 0.3209, kb_relative_information_score: -0.159, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.1299, weighted_recall: 0.936, number_of_instances: 1109, precision: 0.9217, predictive_accuracy: 0.936, prior_entropy: 0.3638, relative_absolute_error: 0.7358, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.8665, unweighted_recall: 0.6171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, kb_relative_information_score: -0.4233, mean_absolute_error: 0.1167, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9306, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, relative_absolute_error: 0.8986, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2387, root_relative_squared_error: 0.9389, unweighted_recall: 0.5,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.9126, kappa: 0.2084, kb_relative_information_score: -0.1366, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9297, number_of_instances: 1109, precision: 0.9081, predictive_accuracy: 0.9297, prior_entropy: 0.3638, relative_absolute_error: 0.7582, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.8826, unweighted_recall: 0.5716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.9236, kappa: 0.328, kb_relative_information_score: -0.2707, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9351, number_of_instances: 1109, precision: 0.9209, predictive_accuracy: 0.9351, prior_entropy: 0.3638, relative_absolute_error: 0.7237, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.8967, unweighted_recall: 0.6226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.9132, kappa: 0.2116, kb_relative_information_score: -0.1376, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9306, number_of_instances: 1109, precision: 0.9095, predictive_accuracy: 0.9306, prior_entropy: 0.3638, relative_absolute_error: 0.7586, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.8815, unweighted_recall: 0.5721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.9225, kappa: 0.3018, kb_relative_information_score: -0.211, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9369, number_of_instances: 1109, precision: 0.9227, predictive_accuracy: 0.9369, prior_entropy: 0.3638, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.8756, unweighted_recall: 0.6055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.9126, kappa: 0.2084, kb_relative_information_score: -0.1445, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9297, number_of_instances: 1109, precision: 0.9081, predictive_accuracy: 0.9297, prior_entropy: 0.3638, relative_absolute_error: 0.7623, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.8839, unweighted_recall: 0.5716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8779, f_measure: 0.9206, kappa: 0.298, kb_relative_information_score: -0.1569, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9333, number_of_instances: 1109, precision: 0.9174, predictive_accuracy: 0.9333, prior_entropy: 0.3638, relative_absolute_error: 0.7364, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.8815, unweighted_recall: 0.6096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.9249, kappa: 0.336, kb_relative_information_score: -0.1625, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9369, number_of_instances: 1109, precision: 0.9234, predictive_accuracy: 0.9369, prior_entropy: 0.3638, relative_absolute_error: 0.7442, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2215, root_relative_squared_error: 0.8715, unweighted_recall: 0.6236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.912, kappa: 0.2051, kb_relative_information_score: -0.1886, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9288, number_of_instances: 1109, precision: 0.9068, predictive_accuracy: 0.9288, prior_entropy: 0.3638, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.8839, unweighted_recall: 0.5711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.9178, kappa: 0.2755, kb_relative_information_score: -0.1484, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9306, number_of_instances: 1109, precision: 0.9133, predictive_accuracy: 0.9306, prior_entropy: 0.3638, relative_absolute_error: 0.7384, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.8918, unweighted_recall: 0.6022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8427, f_measure: 0.9191, kappa: 0.2827, kb_relative_information_score: -0.088, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9324, number_of_instances: 1109, precision: 0.9156, predictive_accuracy: 0.9324, prior_entropy: 0.3638, relative_absolute_error: 0.7032, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.229, root_relative_squared_error: 0.901, unweighted_recall: 0.6031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.9236, kappa: 0.328, kb_relative_information_score: -0.2607, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9351, number_of_instances: 1109, precision: 0.9209, predictive_accuracy: 0.9351, prior_entropy: 0.3638, relative_absolute_error: 0.7223, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.8978, unweighted_recall: 0.6226,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.9243, kappa: 0.345, kb_relative_information_score: -0.128, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9342, number_of_instances: 1109, precision: 0.9209, predictive_accuracy: 0.9342, prior_entropy: 0.3638, relative_absolute_error: 0.7137, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.8939, unweighted_recall: 0.6341,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6803, f_measure: 0.902, kappa: 0.0629, kb_relative_information_score: -0.107, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9306, number_of_instances: 1109, precision: 0.9029, predictive_accuracy: 0.9306, prior_entropy: 0.3638, relative_absolute_error: 0.9557, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.977, unweighted_recall: 0.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6764, kb_relative_information_score: -0.0085, mean_absolute_error: 0.1276, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9306, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, relative_absolute_error: 0.9822, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2525, root_relative_squared_error: 0.9934, unweighted_recall: 0.5,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.92, kappa: 0.2943, kb_relative_information_score: 0.1114, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9324, number_of_instances: 1109, precision: 0.9163, predictive_accuracy: 0.9324, prior_entropy: 0.3638, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.9316, unweighted_recall: 0.6091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, f_measure: 0.9035, kappa: 0.0821, kb_relative_information_score: -0.0837, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9306, number_of_instances: 1109, precision: 0.9036, predictive_accuracy: 0.9306, prior_entropy: 0.3638, relative_absolute_error: 0.8939, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.9648, unweighted_recall: 0.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.9014, kappa: 0.0725, kb_relative_information_score: -0.0449, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.1299, weighted_recall: 0.927, number_of_instances: 1109, precision: 0.8918, predictive_accuracy: 0.927, prior_entropy: 0.3638, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2465, root_relative_squared_error: 0.9699, unweighted_recall: 0.5221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.9136, kappa: 0.222, kb_relative_information_score: -0.0227, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9297, number_of_instances: 1109, precision: 0.909, predictive_accuracy: 0.9297, prior_entropy: 0.3638, relative_absolute_error: 0.796, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2512, root_relative_squared_error: 0.9881, unweighted_recall: 0.5776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.92, kappa: 0.2943, kb_relative_information_score: 0.1114, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9324, number_of_instances: 1109, precision: 0.9163, predictive_accuracy: 0.9324, prior_entropy: 0.3638, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.9316, unweighted_recall: 0.6091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.92, kappa: 0.2943, kb_relative_information_score: 0.1114, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9324, number_of_instances: 1109, precision: 0.9163, predictive_accuracy: 0.9324, prior_entropy: 0.3638, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.9316, unweighted_recall: 0.6091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.9017, kappa: 0.0857, kb_relative_information_score: 0.002, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9252, number_of_instances: 1109, precision: 0.891, predictive_accuracy: 0.9252, prior_entropy: 0.3638, relative_absolute_error: 0.8557, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2632, root_relative_squared_error: 1.0354, unweighted_recall: 0.5271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.92, kappa: 0.2943, kb_relative_information_score: 0.1114, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9324, number_of_instances: 1109, precision: 0.9163, predictive_accuracy: 0.9324, prior_entropy: 0.3638, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.9316, unweighted_recall: 0.6091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.902, kappa: 0.0629, kb_relative_information_score: -0.0992, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.1299, weighted_recall: 0.9306, number_of_instances: 1109, precision: 0.9029, predictive_accuracy: 0.9306, prior_entropy: 0.3638, relative_absolute_error: 0.9617, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2484, root_relative_squared_error: 0.9774, unweighted_recall: 0.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.92, kappa: 0.2943, kb_relative_information_score: 0.1114, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9163, predictive_accuracy: 0.9324, prior_entropy: 0.3638, recall: 0.9324, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.9316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6819, f_measure: 0.9015, kappa: 0.0473, kb_relative_information_score: -0.0601, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.937, predictive_accuracy: 0.9324, prior_entropy: 0.3638, recall: 0.9324, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6878, f_measure: 0.8988, kappa: 0.0219, kb_relative_information_score: -0.0774, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9014, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9816, 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: 0.7893, f_measure: 0.8962, kappa: -0.0035, kb_relative_information_score: -0.353, mean_absolute_error: 0.1209, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8658, predictive_accuracy: 0.9288, prior_entropy: 0.3638, recall: 0.9288, relative_absolute_error: 0.931, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.9702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6738, f_measure: 0.8979, kappa: 0.018, kb_relative_information_score: 0.0032, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8839, predictive_accuracy: 0.9288, prior_entropy: 0.3638, recall: 0.9288, relative_absolute_error: 0.9579, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.51, f_measure: 0.8993, kappa: 0.0239, kb_relative_information_score: 0.0212, mean_absolute_error: 0.1269, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9362, predictive_accuracy: 0.9315, prior_entropy: 0.3638, recall: 0.9315, relative_absolute_error: 0.9768, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2518, root_relative_squared_error: 0.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7481, f_measure: 0.898, kappa: 0.0325, kb_relative_information_score: -0.107, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8825, predictive_accuracy: 0.9261, prior_entropy: 0.3638, recall: 0.9261, relative_absolute_error: 0.9617, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.9851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5185, f_measure: 0.901, kappa: 0.045, kb_relative_information_score: 0.0112, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9138, predictive_accuracy: 0.9315, prior_entropy: 0.3638, recall: 0.9315, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.9966,

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

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

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