Task
Supervised Classification on pc1

Supervised Classification on pc1

Task 3918 Supervised Classification pc1 140609 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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140609 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, f_measure: 0.9141, kappa: 0.1993, kb_relative_information_score: 327.1896, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9199, predictive_accuracy: 0.9351, prior_entropy: 0.3667, recall: 0.9351, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2548, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.9237, kappa: 0.3411, kb_relative_information_score: -244.5607, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9199, predictive_accuracy: 0.9333, prior_entropy: 0.3667, recall: 0.9333, relative_absolute_error: 0.712, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.233, root_relative_squared_error: 0.9165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6445, f_measure: 0.9093, kappa: 0.2878, kb_relative_information_score: 14.8521, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.908, predictive_accuracy: 0.9107, prior_entropy: 0.3667, recall: 0.9107, relative_absolute_error: 0.6965, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2989, root_relative_squared_error: 1.1761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6715, f_measure: 0.9154, kappa: 0.3391, kb_relative_information_score: 79.2749, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9146, predictive_accuracy: 0.9161, prior_entropy: 0.3667, recall: 0.9161, relative_absolute_error: 0.6549, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2898, root_relative_squared_error: 1.1399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7306, f_measure: 0.9157, kappa: 0.3174, kb_relative_information_score: -36.3281, mean_absolute_error: 0.0869, 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: 0.6693, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2614, root_relative_squared_error: 1.0284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7769, f_measure: 0.9082, kappa: 0.1586, kb_relative_information_score: -374.5115, mean_absolute_error: 0.103, 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: 0.7929, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2459, root_relative_squared_error: 0.9674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7451, f_measure: 0.9079, kappa: 0.2335, kb_relative_information_score: -286.9279, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9022, predictive_accuracy: 0.9152, prior_entropy: 0.3667, recall: 0.9152, relative_absolute_error: 0.7628, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.25, root_relative_squared_error: 0.9833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7434, f_measure: 0.9018, kappa: 0.1754, kb_relative_information_score: -337.4083, mean_absolute_error: 0.1014, 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: 0.7809, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.9887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7638, f_measure: 0.9111, kappa: 0.1828, kb_relative_information_score: -355.5927, mean_absolute_error: 0.1018, 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: 0.7838, 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: 0.755, f_measure: 0.9054, kappa: 0.1905, kb_relative_information_score: -313.2669, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8976, predictive_accuracy: 0.9161, prior_entropy: 0.3667, recall: 0.9161, relative_absolute_error: 0.7712, 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: 0.7422, f_measure: 0.9125, kappa: 0.2763, kb_relative_information_score: -303.9405, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9076, predictive_accuracy: 0.9188, prior_entropy: 0.3667, recall: 0.9188, relative_absolute_error: 0.7685, 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: 0.7871, f_measure: 0.9122, kappa: 0.1975, kb_relative_information_score: -405.8181, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9088, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.7995, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.9568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.9094, kappa: 0.1645, kb_relative_information_score: -398.268, mean_absolute_error: 0.1041, 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: 0.8012, 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: 0.7725, f_measure: 0.9069, kappa: 0.2506, kb_relative_information_score: -291.1714, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9035, predictive_accuracy: 0.9107, prior_entropy: 0.3667, recall: 0.9107, relative_absolute_error: 0.7685, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.9887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7797, f_measure: 0.9047, kappa: 0.1422, kb_relative_information_score: -308.4787, 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: 0.7741, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2457, root_relative_squared_error: 0.9664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7649, f_measure: 0.9111, kappa: 0.1828, kb_relative_information_score: -346.7084, mean_absolute_error: 0.1014, 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: 0.7809, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2441, root_relative_squared_error: 0.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7385, f_measure: 0.9053, kappa: 0.2146, kb_relative_information_score: -303.3779, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8995, predictive_accuracy: 0.9125, prior_entropy: 0.3667, recall: 0.9125, relative_absolute_error: 0.7714, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2569, root_relative_squared_error: 1.0107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7409, f_measure: 0.9074, kappa: 0.2386, kb_relative_information_score: -293.1082, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9024, predictive_accuracy: 0.9134, prior_entropy: 0.3667, recall: 0.9134, relative_absolute_error: 0.7662, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2558, root_relative_squared_error: 1.0062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, f_measure: 0.9059, kappa: 0.1475, kb_relative_information_score: -393.2698, mean_absolute_error: 0.1045, 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: 0.8048, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7698, f_measure: 0.9076, kappa: 0.1558, kb_relative_information_score: -403.0503, mean_absolute_error: 0.1046, 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: 0.805, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2481, root_relative_squared_error: 0.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7435, f_measure: 0.9059, kappa: 0.1475, kb_relative_information_score: -398.4441, mean_absolute_error: 0.1048, 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: 0.8067, 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: 0.7602, f_measure: 0.9042, kappa: 0.1396, kb_relative_information_score: -416.3373, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8943, predictive_accuracy: 0.9216, prior_entropy: 0.3667, recall: 0.9216, relative_absolute_error: 0.808, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2486, root_relative_squared_error: 0.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7642, f_measure: 0.903, kappa: 0.2125, kb_relative_information_score: -257.9309, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8987, predictive_accuracy: 0.908, prior_entropy: 0.3667, recall: 0.908, relative_absolute_error: 0.7586, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2535, root_relative_squared_error: 0.9972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.9094, kappa: 0.2816, kb_relative_information_score: -76.8194, 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: 0.7081, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2755, root_relative_squared_error: 1.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7827, f_measure: 0.9094, kappa: 0.1645, kb_relative_information_score: -370.8141, mean_absolute_error: 0.103, 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: 0.793, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.9647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7585, f_measure: 0.9018, kappa: 0.2076, kb_relative_information_score: -298.5377, mean_absolute_error: 0.101, 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: 0.7775, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2545, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7518, f_measure: 0.9104, kappa: 0.2449, kb_relative_information_score: -273.3693, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9043, predictive_accuracy: 0.9188, prior_entropy: 0.3667, recall: 0.9188, relative_absolute_error: 0.7565, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.257, root_relative_squared_error: 1.0111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7632, f_measure: 0.9094, kappa: 0.1645, kb_relative_information_score: -464.8477, mean_absolute_error: 0.1075, 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: 0.8276, 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: 0.7821, f_measure: 0.9088, kappa: 0.1616, kb_relative_information_score: -381.262, mean_absolute_error: 0.1033, 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: 0.7953, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.9652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.732, f_measure: 0.9088, kappa: 0.2589, kb_relative_information_score: -280.6028, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9047, predictive_accuracy: 0.9134, prior_entropy: 0.3667, recall: 0.9134, relative_absolute_error: 0.7693, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2561, root_relative_squared_error: 1.0074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7884, f_measure: 0.9122, kappa: 0.1975, kb_relative_information_score: -404.9397, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9088, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.7986, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, f_measure: 0.9111, kappa: 0.1828, kb_relative_information_score: -357.4963, mean_absolute_error: 0.1019, 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: 0.7846, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7683, f_measure: 0.9036, kappa: 0.1828, kb_relative_information_score: -307.0878, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.896, predictive_accuracy: 0.9134, prior_entropy: 0.3667, recall: 0.9134, relative_absolute_error: 0.7706, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2474, root_relative_squared_error: 0.9735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.9063, kappa: 0.2549, kb_relative_information_score: -228.0171, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9039, predictive_accuracy: 0.9089, prior_entropy: 0.3667, recall: 0.9089, relative_absolute_error: 0.7593, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2709, root_relative_squared_error: 1.0659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7503, f_measure: 0.9027, kappa: 0.1706, kb_relative_information_score: -388.7112, 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: 0.7965, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.9831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7508, f_measure: 0.9038, kappa: 0.192, kb_relative_information_score: -304.7851, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8969, predictive_accuracy: 0.9125, prior_entropy: 0.3667, recall: 0.9125, relative_absolute_error: 0.7703, 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: 0.7189, f_measure: 0.91, kappa: 0.2844, kb_relative_information_score: -255.1318, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9077, predictive_accuracy: 0.9125, prior_entropy: 0.3667, recall: 0.9125, relative_absolute_error: 0.7699, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2619, root_relative_squared_error: 1.0304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.9084, kappa: 0.2282, kb_relative_information_score: -290.9725, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.902, predictive_accuracy: 0.917, prior_entropy: 0.3667, recall: 0.917, relative_absolute_error: 0.7584, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.252, root_relative_squared_error: 0.9913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7428, f_measure: 0.9094, kappa: 0.2253, kb_relative_information_score: -299.8986, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9025, predictive_accuracy: 0.9197, prior_entropy: 0.3667, recall: 0.9197, relative_absolute_error: 0.7548, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2502, root_relative_squared_error: 0.9842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7806, f_measure: 0.9036, kappa: 0.137, kb_relative_information_score: -314.7348, mean_absolute_error: 0.1007, 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: 0.7749, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2454, root_relative_squared_error: 0.9655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7392, f_measure: 0.908, kappa: 0.2414, kb_relative_information_score: -268.8659, mean_absolute_error: 0.0976, 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: 0.7511, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.9766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7888, f_measure: 0.9036, kappa: 0.137, kb_relative_information_score: -324.2868, mean_absolute_error: 0.1012, 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: 0.7794, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.246, root_relative_squared_error: 0.9679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.777, f_measure: 0.9094, kappa: 0.1645, kb_relative_information_score: -359.533, mean_absolute_error: 0.1027, 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: 0.7908, 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: 0.7675, f_measure: 0.9042, kappa: 0.1853, kb_relative_information_score: -302.394, mean_absolute_error: 0.0999, 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: 0.7692, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.247, root_relative_squared_error: 0.9719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7409, f_measure: 0.9075, kappa: 0.2461, kb_relative_information_score: -348.1036, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9031, predictive_accuracy: 0.9125, prior_entropy: 0.3667, recall: 0.9125, relative_absolute_error: 0.7883, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2548, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7645, f_measure: 0.9105, kappa: 0.1797, kb_relative_information_score: -389.2646, 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: 0.7978, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.9615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7704, f_measure: 0.9075, kappa: 0.2603, kb_relative_information_score: -267.6073, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9046, predictive_accuracy: 0.9107, prior_entropy: 0.3667, recall: 0.9107, relative_absolute_error: 0.7575, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2515, root_relative_squared_error: 0.9895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7409, f_measure: 0.9092, kappa: 0.247, kb_relative_information_score: -275.7903, mean_absolute_error: 0.098, 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: 0.7543, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2479, root_relative_squared_error: 0.9754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7477, f_measure: 0.9092, kappa: 0.247, kb_relative_information_score: -367.2403, 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: 0.7889, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.9829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7488, f_measure: 0.9078, kappa: 0.2254, kb_relative_information_score: -358.9791, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9015, predictive_accuracy: 0.9161, prior_entropy: 0.3667, recall: 0.9161, relative_absolute_error: 0.7843, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2514, root_relative_squared_error: 0.9892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7249, f_measure: 0.9055, kappa: 0.2227, kb_relative_information_score: -326.4913, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9003, predictive_accuracy: 0.9116, prior_entropy: 0.3667, recall: 0.9116, relative_absolute_error: 0.7903, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2659, root_relative_squared_error: 1.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, f_measure: 0.9079, kappa: 0.2335, kb_relative_information_score: -278.225, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9022, predictive_accuracy: 0.9152, prior_entropy: 0.3667, recall: 0.9152, relative_absolute_error: 0.7568, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2514, root_relative_squared_error: 0.9891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7483, f_measure: 0.9035, kappa: 0.1463, kb_relative_information_score: -362.6574, mean_absolute_error: 0.1034, 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: 0.7964, 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: 0.7351, f_measure: 0.9074, kappa: 0.2386, kb_relative_information_score: -303.8977, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9024, predictive_accuracy: 0.9134, prior_entropy: 0.3667, recall: 0.9134, relative_absolute_error: 0.7647, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.9859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7624, f_measure: 0.9042, kappa: 0.1396, kb_relative_information_score: -413.0985, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8943, predictive_accuracy: 0.9216, prior_entropy: 0.3667, recall: 0.9216, relative_absolute_error: 0.8033, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.9774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7603, f_measure: 0.9099, kappa: 0.2498, kb_relative_information_score: -386.3772, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9043, predictive_accuracy: 0.917, prior_entropy: 0.3667, recall: 0.917, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7613, f_measure: 0.9122, kappa: 0.2539, kb_relative_information_score: -290.2406, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9061, predictive_accuracy: 0.9216, prior_entropy: 0.3667, recall: 0.9216, relative_absolute_error: 0.7501, 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: 0.7657, f_measure: 0.9094, kappa: 0.1645, kb_relative_information_score: -443.2149, mean_absolute_error: 0.1065, 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: 0.8198, 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: 0.7339, f_measure: 0.9112, kappa: 0.2963, kb_relative_information_score: -202.2592, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9092, predictive_accuracy: 0.9134, prior_entropy: 0.3667, recall: 0.9134, relative_absolute_error: 0.7429, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2559, root_relative_squared_error: 1.0068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7672, f_measure: 0.9057, kappa: 0.1835, kb_relative_information_score: -359.1545, mean_absolute_error: 0.1023, 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: 0.7874, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.9739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.9069, kappa: 0.2506, kb_relative_information_score: -324.8868, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9035, predictive_accuracy: 0.9107, prior_entropy: 0.3667, recall: 0.9107, relative_absolute_error: 0.7799, 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: 0.7679, f_measure: 0.9057, kappa: 0.1835, kb_relative_information_score: -338.2451, mean_absolute_error: 0.1017, 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: 0.7829, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2465, root_relative_squared_error: 0.9697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7527, f_measure: 0.9028, kappa: 0.1959, kb_relative_information_score: -170.2384, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8969, predictive_accuracy: 0.9098, prior_entropy: 0.3667, recall: 0.9098, relative_absolute_error: 0.7294, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2574, root_relative_squared_error: 1.0128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7414, f_measure: 0.9068, kappa: 0.2359, kb_relative_information_score: -320.8405, mean_absolute_error: 0.1011, 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: 0.7783, 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: 0.7707, f_measure: 0.9088, kappa: 0.2589, kb_relative_information_score: -188.2006, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9047, predictive_accuracy: 0.9134, prior_entropy: 0.3667, recall: 0.9134, relative_absolute_error: 0.7298, 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: 0.7349, f_measure: 0.9023, kappa: 0.2019, kb_relative_information_score: -347.8431, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8974, predictive_accuracy: 0.908, prior_entropy: 0.3667, recall: 0.908, relative_absolute_error: 0.7962, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2618, root_relative_squared_error: 1.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7369, f_measure: 0.9079, kappa: 0.2335, kb_relative_information_score: -321.5553, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9022, predictive_accuracy: 0.9152, prior_entropy: 0.3667, recall: 0.9152, relative_absolute_error: 0.7757, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2521, root_relative_squared_error: 0.9916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7499, f_measure: 0.9065, kappa: 0.2199, kb_relative_information_score: -312.4963, mean_absolute_error: 0.0996, 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: 0.7668, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2532, root_relative_squared_error: 0.9962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7769, f_measure: 0.9094, kappa: 0.1645, kb_relative_information_score: -372.0597, mean_absolute_error: 0.103, 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: 0.7932, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2441, root_relative_squared_error: 0.9604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7825, f_measure: 0.9094, kappa: 0.1645, kb_relative_information_score: -371.0268, mean_absolute_error: 0.1031, 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: 0.7934, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.9647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, f_measure: 0.9182, kappa: 0.3415, kb_relative_information_score: -33.3975, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9153, predictive_accuracy: 0.9216, prior_entropy: 0.3667, recall: 0.9216, relative_absolute_error: 0.6585, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2546, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7702, f_measure: 0.9094, kappa: 0.1645, kb_relative_information_score: -451.4636, mean_absolute_error: 0.1068, 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: 0.8225, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.9786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.9105, kappa: 0.1797, kb_relative_information_score: -380.4271, mean_absolute_error: 0.1029, 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: 0.7922, 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: 0.7723, f_measure: 0.9057, kappa: 0.1835, kb_relative_information_score: -371.2555, mean_absolute_error: 0.1028, 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: 0.7917, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2469, root_relative_squared_error: 0.9714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.744, f_measure: 0.9069, kappa: 0.2506, kb_relative_information_score: -345.5995, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9035, predictive_accuracy: 0.9107, prior_entropy: 0.3667, recall: 0.9107, relative_absolute_error: 0.7861, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.254, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7518, f_measure: 0.9082, kappa: 0.263, kb_relative_information_score: -325.2861, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.905, predictive_accuracy: 0.9116, prior_entropy: 0.3667, recall: 0.9116, relative_absolute_error: 0.7762, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2514, root_relative_squared_error: 0.9888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7406, f_measure: 0.9061, kappa: 0.2254, kb_relative_information_score: -328.6099, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9007, predictive_accuracy: 0.9125, prior_entropy: 0.3667, recall: 0.9125, relative_absolute_error: 0.7813, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2562, root_relative_squared_error: 1.0081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7724, f_measure: 0.9053, kappa: 0.1448, kb_relative_information_score: -334.8837, mean_absolute_error: 0.1019, 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: 0.7844, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7446, f_measure: 0.9036, kappa: 0.1828, kb_relative_information_score: -311.6111, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.896, predictive_accuracy: 0.9134, prior_entropy: 0.3667, recall: 0.9134, relative_absolute_error: 0.7705, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2484, root_relative_squared_error: 0.9774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.9099, kappa: 0.2498, kb_relative_information_score: -376.3215, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9043, predictive_accuracy: 0.917, prior_entropy: 0.3667, recall: 0.917, relative_absolute_error: 0.7872, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.9817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.9011, kappa: 0.1971, kb_relative_information_score: -313.2557, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8966, predictive_accuracy: 0.9062, prior_entropy: 0.3667, recall: 0.9062, relative_absolute_error: 0.7934, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2684, root_relative_squared_error: 1.0558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, f_measure: 0.9099, kappa: 0.2498, kb_relative_information_score: -387.8967, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9043, predictive_accuracy: 0.917, prior_entropy: 0.3667, recall: 0.917, relative_absolute_error: 0.7937, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2502, root_relative_squared_error: 0.9844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7366, f_measure: 0.9068, kappa: 0.2359, kb_relative_information_score: -305.2776, mean_absolute_error: 0.0997, 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: 0.7676, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7384, f_measure: 0.9088, kappa: 0.2589, kb_relative_information_score: -341.6263, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9047, predictive_accuracy: 0.9134, prior_entropy: 0.3667, recall: 0.9134, relative_absolute_error: 0.7838, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.253, root_relative_squared_error: 0.9953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7593, f_measure: 0.9111, kappa: 0.2557, kb_relative_information_score: -293.2952, mean_absolute_error: 0.0977, 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: 0.7521, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.9823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7761, f_measure: 0.9088, kappa: 0.1616, kb_relative_information_score: -377.9764, mean_absolute_error: 0.1033, 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: 0.7953, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2455, root_relative_squared_error: 0.9658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6676, f_measure: 0.9063, kappa: 0.2681, kb_relative_information_score: -107.3731, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9054, predictive_accuracy: 0.9071, prior_entropy: 0.3667, recall: 0.9071, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2963, root_relative_squared_error: 1.1657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.9042, kappa: 0.1853, kb_relative_information_score: -316.7167, mean_absolute_error: 0.1006, 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: 0.7744, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2477, root_relative_squared_error: 0.9744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7285, f_measure: 0.9069, kappa: 0.2506, kb_relative_information_score: -277.0075, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9035, predictive_accuracy: 0.9107, prior_entropy: 0.3667, recall: 0.9107, relative_absolute_error: 0.7784, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2672, root_relative_squared_error: 1.0514,

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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