Task
Supervised Classification on mw1

Supervised Classification on mw1

Task 3920 Supervised Classification mw1 559 runs submitted
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  • study_1 study_107 study_123 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7056, f_measure: 0.8887, kappa: 0.1244, kb_relative_information_score: -93.7406, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.8779, predictive_accuracy: 0.9032, prior_entropy: 0.3987, recall: 0.9032, relative_absolute_error: 0.8913, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2768, root_relative_squared_error: 1.0386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6386, f_measure: 0.8824, kappa: -0.0138, kb_relative_information_score: -99.8539, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.8515, predictive_accuracy: 0.9156, prior_entropy: 0.3987, recall: 0.9156, relative_absolute_error: 0.934, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.266, root_relative_squared_error: 0.9984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.8948, kappa: 0.0984, kb_relative_information_score: -49.3773, mean_absolute_error: 0.1374, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.8944, predictive_accuracy: 0.9231, prior_entropy: 0.3987, recall: 0.9231, relative_absolute_error: 0.9553, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2602, root_relative_squared_error: 0.9765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5766, f_measure: 0.9079, kappa: 0.2322, kb_relative_information_score: 120.5287, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.9104, predictive_accuracy: 0.928, prior_entropy: 0.3987, recall: 0.928, relative_absolute_error: 0.5005, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2683, root_relative_squared_error: 1.0067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7299, f_measure: 0.907, kappa: 0.2467, kb_relative_information_score: -135.4, mean_absolute_error: 0.1258, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.9025, predictive_accuracy: 0.9231, prior_entropy: 0.3987, recall: 0.9231, relative_absolute_error: 0.875, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2544, root_relative_squared_error: 0.9546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7666, f_measure: 0.9134, kappa: 0.3134, kb_relative_information_score: 70.0406, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.9094, predictive_accuracy: 0.9256, prior_entropy: 0.3987, recall: 0.9256, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.9703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7615, f_measure: 0.8826, kappa: 0.1027, kb_relative_information_score: -87.9248, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.8734, predictive_accuracy: 0.8933, prior_entropy: 0.3987, recall: 0.8933, relative_absolute_error: 0.869, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2624, root_relative_squared_error: 0.9848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7356, f_measure: 0.8994, kappa: 0.1905, kb_relative_information_score: -74.4493, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.8911, predictive_accuracy: 0.9156, prior_entropy: 0.3987, recall: 0.9156, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.9689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.487, f_measure: 0.8862, kb_relative_information_score: -71.345, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.8521, predictive_accuracy: 0.9231, prior_entropy: 0.3987, recall: 0.9231, relative_absolute_error: 1.0277, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2666, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6574, f_measure: 0.9078, kappa: 0.3314, kb_relative_information_score: 9.3848, mean_absolute_error: 0.1209, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.9053, predictive_accuracy: 0.9107, prior_entropy: 0.3987, recall: 0.9107, relative_absolute_error: 0.8407, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2626, root_relative_squared_error: 0.9855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4834, f_measure: 0.8862, kb_relative_information_score: -6.6079, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.8521, predictive_accuracy: 0.9231, prior_entropy: 0.3987, recall: 0.9231, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2665, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7074, f_measure: 0.8873, kappa: 0.1829, kb_relative_information_score: -289.1288, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.8841, predictive_accuracy: 0.8908, prior_entropy: 0.3987, recall: 0.8908, relative_absolute_error: 1.0206, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.3005, root_relative_squared_error: 1.1277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, f_measure: 0.8939, kappa: 0.2073, kb_relative_information_score: 2.856, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.8882, predictive_accuracy: 0.9007, prior_entropy: 0.3987, recall: 0.9007, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.3055, root_relative_squared_error: 1.1465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7805, f_measure: 0.8866, kappa: 0.3043, kb_relative_information_score: -405.2745, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.9043, predictive_accuracy: 0.8734, prior_entropy: 0.3987, recall: 0.8734, relative_absolute_error: 1.2509, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.3168, root_relative_squared_error: 1.1888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7009, f_measure: 0.8854, kappa: 0.1563, kb_relative_information_score: -126.2454, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.8805, predictive_accuracy: 0.8908, prior_entropy: 0.3987, recall: 0.8908, relative_absolute_error: 0.8485, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.3128, root_relative_squared_error: 1.1739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5404, f_measure: 0.8716, kappa: 0.0193, kb_relative_information_score: -137.2021, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.8609, predictive_accuracy: 0.8834, prior_entropy: 0.3987, recall: 0.8834, relative_absolute_error: 0.8677, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.3224, root_relative_squared_error: 1.2099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8031, f_measure: 0.899, kappa: 0.3716, kb_relative_information_score: -94.6498, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.9139, predictive_accuracy: 0.8883, prior_entropy: 0.3987, recall: 0.8883, relative_absolute_error: 0.8482, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.3271, root_relative_squared_error: 1.2274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7807, f_measure: 0.8967, kappa: 0.1565, kb_relative_information_score: -181.587, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.8875, predictive_accuracy: 0.9156, prior_entropy: 0.3987, recall: 0.9156, relative_absolute_error: 0.8588, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.257, root_relative_squared_error: 0.9644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.678, f_measure: 0.8849, kappa: -0.0048, kb_relative_information_score: 109.7868, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.8519, predictive_accuracy: 0.9206, prior_entropy: 0.3987, recall: 0.9206, relative_absolute_error: 0.5281, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2562, root_relative_squared_error: 0.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4834, f_measure: 0.8862, kb_relative_information_score: -6.6079, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.8521, predictive_accuracy: 0.9231, prior_entropy: 0.3987, recall: 0.9231, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2665, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.746, f_measure: 0.9112, kappa: 0.2857, kb_relative_information_score: -105.2243, mean_absolute_error: 0.1212, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.9077, predictive_accuracy: 0.9256, prior_entropy: 0.3987, recall: 0.9256, relative_absolute_error: 0.8431, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.9592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6794, f_measure: 0.8862, kb_relative_information_score: -13.2518, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.8521, predictive_accuracy: 0.9231, prior_entropy: 0.3987, recall: 0.9231, relative_absolute_error: 0.9352, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.9567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4834, f_measure: 0.8862, kb_relative_information_score: -6.6079, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.8521, predictive_accuracy: 0.9231, prior_entropy: 0.3987, recall: 0.9231, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2665, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7333, f_measure: 0.8888, kappa: 0.0733, kb_relative_information_score: -171.6926, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.8745, predictive_accuracy: 0.9132, prior_entropy: 0.3987, recall: 0.9132, relative_absolute_error: 0.8153, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.263, root_relative_squared_error: 0.9868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4834, f_measure: 0.8862, kb_relative_information_score: 2.7753, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.8521, predictive_accuracy: 0.9231, prior_entropy: 0.3987, recall: 0.9231, relative_absolute_error: 0.9878, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2665, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7821, f_measure: 0.9036, kappa: 0.2298, kb_relative_information_score: -165.3083, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.8967, predictive_accuracy: 0.9181, prior_entropy: 0.3987, recall: 0.9181, relative_absolute_error: 0.8207, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4945, f_measure: 0.9002, kappa: 0.2142, kb_relative_information_score: 7.7505, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.8923, predictive_accuracy: 0.9132, prior_entropy: 0.3987, recall: 0.9132, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.285, root_relative_squared_error: 1.0694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7268, f_measure: 0.8605, kappa: 0.2433, kb_relative_information_score: -240.8629, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.8998, predictive_accuracy: 0.8337, prior_entropy: 0.3987, recall: 0.8337, relative_absolute_error: 1.1378, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.3987, root_relative_squared_error: 1.4962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, f_measure: 0.8985, kappa: 0.2068, kb_relative_information_score: -128.2686, mean_absolute_error: 0.1256, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.8904, predictive_accuracy: 0.9107, prior_entropy: 0.3987, recall: 0.9107, relative_absolute_error: 0.8732, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2691, root_relative_squared_error: 1.0098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8862, kb_relative_information_score: 101.5639, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.8521, predictive_accuracy: 0.9231, prior_entropy: 0.3987, recall: 0.9231, relative_absolute_error: 0.535, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2774, root_relative_squared_error: 1.0408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.892, kappa: 0.3689, kb_relative_information_score: -170.8024, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.9167, predictive_accuracy: 0.8759, prior_entropy: 0.3987, recall: 0.8759, relative_absolute_error: 0.9687, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.3282, root_relative_squared_error: 1.2315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8862, kb_relative_information_score: 101.5639, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.8521, predictive_accuracy: 0.9231, prior_entropy: 0.3987, recall: 0.9231, relative_absolute_error: 0.535, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2774, root_relative_squared_error: 1.0408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8862, kb_relative_information_score: 101.5639, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.8521, predictive_accuracy: 0.9231, prior_entropy: 0.3987, recall: 0.9231, relative_absolute_error: 0.535, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2774, root_relative_squared_error: 1.0408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7204, f_measure: 0.8672, kappa: 0.2602, kb_relative_information_score: -253.5119, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.9015, predictive_accuracy: 0.8437, prior_entropy: 0.3987, recall: 0.8437, relative_absolute_error: 1.1109, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.3797, root_relative_squared_error: 1.4247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4945, f_measure: 0.9002, kappa: 0.2142, kb_relative_information_score: 7.7505, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.8923, predictive_accuracy: 0.9132, prior_entropy: 0.3987, recall: 0.9132, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.285, root_relative_squared_error: 1.0694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7607, f_measure: 0.9059, kappa: 0.2591, kb_relative_information_score: -150.5485, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.8995, predictive_accuracy: 0.9181, prior_entropy: 0.3987, recall: 0.9181, relative_absolute_error: 0.8757, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2618, root_relative_squared_error: 0.9826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.706, f_measure: 0.8487, kappa: 0.2166, kb_relative_information_score: -334.9356, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.8973, predictive_accuracy: 0.8164, prior_entropy: 0.3987, recall: 0.8164, relative_absolute_error: 1.2814, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.4157, root_relative_squared_error: 1.5599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4388, f_measure: 0.8862, kb_relative_information_score: -16.4972, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.8521, predictive_accuracy: 0.9231, prior_entropy: 0.3987, recall: 0.9231, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.267, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7268, f_measure: 0.9112, kappa: 0.2857, kb_relative_information_score: -171.9031, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.9077, predictive_accuracy: 0.9256, prior_entropy: 0.3987, recall: 0.9256, relative_absolute_error: 0.8448, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.9898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5968, f_measure: 0.8891, kappa: 0.2078, kb_relative_information_score: -49.6036, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.8875, predictive_accuracy: 0.8908, prior_entropy: 0.3987, recall: 0.8908, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.3342, root_relative_squared_error: 1.254,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.727, f_measure: 0.8605, kappa: 0.2433, kb_relative_information_score: -240.6034, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.8998, predictive_accuracy: 0.8337, prior_entropy: 0.3987, recall: 0.8337, relative_absolute_error: 1.1438, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.4005, root_relative_squared_error: 1.503, scimark_benchmark: 1263.3294, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8862, kb_relative_information_score: 101.5639, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.8521, predictive_accuracy: 0.9231, prior_entropy: 0.3987, recall: 0.9231, relative_absolute_error: 0.535, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2774, root_relative_squared_error: 1.0408, scimark_benchmark: 1339.3985, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.9153, kappa: 0.3531, kb_relative_information_score: 47.5924, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.9109, predictive_accuracy: 0.9231, prior_entropy: 0.3987, recall: 0.9231, relative_absolute_error: 0.7514, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2636, root_relative_squared_error: 0.9891, scimark_benchmark: 1312.629, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6831, f_measure: 0.9063, kappa: 0.2946, kb_relative_information_score: -126.7124, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.9012, predictive_accuracy: 0.9132, prior_entropy: 0.3987, recall: 0.9132, relative_absolute_error: 0.8722, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2794, root_relative_squared_error: 1.0483, scimark_benchmark: 1083.8547, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.654, f_measure: 0.884, kappa: 0.2241, kb_relative_information_score: -112.3352, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.8902, predictive_accuracy: 0.8784, prior_entropy: 0.3987, recall: 0.8784, relative_absolute_error: 0.9081, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.3526, root_relative_squared_error: 1.3231, scimark_benchmark: 1290.5158, usercpu_time_millis: 80, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5121, f_measure: 0.888, kappa: 0.0403, kb_relative_information_score: 82.5992, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.8729, predictive_accuracy: 0.9181, prior_entropy: 0.3987, recall: 0.9181, relative_absolute_error: 0.5695, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2862, root_relative_squared_error: 1.0739, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5805, f_measure: 0.8845, kappa: 0.0573, kb_relative_information_score: -52.3425, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.8688, predictive_accuracy: 0.9057, prior_entropy: 0.3987, recall: 0.9057, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2821, root_relative_squared_error: 1.0588, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6077, f_measure: 0.8825, kappa: 0.0204, kb_relative_information_score: -38.2516, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.8626, predictive_accuracy: 0.9082, prior_entropy: 0.3987, recall: 0.9082, relative_absolute_error: 0.9576, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2771, root_relative_squared_error: 1.0397, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4834, f_measure: 0.8862, kb_relative_information_score: -6.6079, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.8521, predictive_accuracy: 0.9231, prior_entropy: 0.3987, recall: 0.9231, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2665, root_relative_squared_error: 1.0001, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4834, f_measure: 0.8862, kb_relative_information_score: -6.6079, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.8521, predictive_accuracy: 0.9231, prior_entropy: 0.3987, recall: 0.9231, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2665, root_relative_squared_error: 1.0001, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7457, f_measure: 0.8876, kappa: 0.32, kb_relative_information_score: -127.6584, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.9073, predictive_accuracy: 0.8734, prior_entropy: 0.3987, recall: 0.8734, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.3488, root_relative_squared_error: 1.3089, scimark_benchmark: 1732.2066, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.727, f_measure: 0.8605, kappa: 0.2433, kb_relative_information_score: -240.6034, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.8998, predictive_accuracy: 0.8337, prior_entropy: 0.3987, recall: 0.8337, relative_absolute_error: 1.1438, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.4005, root_relative_squared_error: 1.503, scimark_benchmark: 1732.2066, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6142, f_measure: 0.9062, kappa: 0.2778, kb_relative_information_score: 73.1168, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.9002, predictive_accuracy: 0.9156, prior_entropy: 0.3987, recall: 0.9156, relative_absolute_error: 0.5868, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2905, root_relative_squared_error: 1.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7457, f_measure: 0.8876, kappa: 0.32, kb_relative_information_score: -127.6584, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.9073, predictive_accuracy: 0.8734, prior_entropy: 0.3987, recall: 0.8734, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.3488, root_relative_squared_error: 1.3089, scimark_benchmark: 1887.4343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.574, f_measure: 0.8985, kappa: 0.2068, kb_relative_information_score: -17.9806, mean_absolute_error: 0.1305, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.8904, predictive_accuracy: 0.9107, prior_entropy: 0.3987, recall: 0.9107, relative_absolute_error: 0.9077, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2821, root_relative_squared_error: 1.0586, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4945, f_measure: 0.9002, kappa: 0.2142, kb_relative_information_score: 7.7505, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.8923, predictive_accuracy: 0.9132, prior_entropy: 0.3987, recall: 0.9132, relative_absolute_error: 0.8592, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.285, root_relative_squared_error: 1.0694, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7649, f_measure: 0.8919, kappa: 0.1364, kb_relative_information_score: -135.7826, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.881, predictive_accuracy: 0.9082, prior_entropy: 0.3987, recall: 0.9082, relative_absolute_error: 0.8692, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2699, root_relative_squared_error: 1.0127, scimark_benchmark: 1806.5905, usercpu_time_millis: 46.8003, usercpu_time_millis_training: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7607, f_measure: 0.9059, kappa: 0.2591, kb_relative_information_score: -150.5485, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.8995, predictive_accuracy: 0.9181, prior_entropy: 0.3987, recall: 0.9181, relative_absolute_error: 0.8757, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2618, root_relative_squared_error: 0.9826, scimark_benchmark: 1806.5905, usercpu_time_millis: 78.0005, usercpu_time_millis_training: 78.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6499, f_measure: 0.8793, kappa: 0.1924, kb_relative_information_score: -127.1871, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.8857, predictive_accuracy: 0.8734, prior_entropy: 0.3987, recall: 0.8734, relative_absolute_error: 0.9347, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.3584, root_relative_squared_error: 1.3449, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.654, f_measure: 0.884, kappa: 0.2241, kb_relative_information_score: -112.3352, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.8902, predictive_accuracy: 0.8784, prior_entropy: 0.3987, recall: 0.8784, relative_absolute_error: 0.9081, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.3526, root_relative_squared_error: 1.3231, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7457, f_measure: 0.8876, kappa: 0.32, kb_relative_information_score: -127.6584, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.1438, number_of_instances: 403, precision: 0.9073, predictive_accuracy: 0.8734, prior_entropy: 0.3987, recall: 0.8734, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.3488, root_relative_squared_error: 1.3089, scimark_benchmark: 1877.5305,

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

OpenML bootcamp

From your own software

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

OpenML APIs