OpenML
Supervised Classification on artificial-characters

Supervised Classification on artificial-characters

Task 14964 Supervised Classification artificial-characters 11744 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.3598, kappa: 0.2938, kb_relative_information_score: 3410.3642, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.3755, predictive_accuracy: 0.3677, prior_entropy: 3.2849, recall: 0.3677, relative_absolute_error: 0.8317, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.27, root_relative_squared_error: 0.9024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.3152, kappa: 0.2551, kb_relative_information_score: 2810.6245, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.3252, predictive_accuracy: 0.3364, prior_entropy: 3.2849, recall: 0.3364, relative_absolute_error: 0.8783, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2791, root_relative_squared_error: 0.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.747, kappa: 0.717, kb_relative_information_score: 7537.0749, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.7526, predictive_accuracy: 0.7463, prior_entropy: 3.2849, recall: 0.7463, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.6175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.7088, kappa: 0.6747, kb_relative_information_score: 7271.4265, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.7162, predictive_accuracy: 0.7085, prior_entropy: 3.2849, recall: 0.7085, relative_absolute_error: 0.45, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.6499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.3305, kappa: 0.266, kb_relative_information_score: 3226.6413, mean_absolute_error: 0.1517, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.3438, predictive_accuracy: 0.3433, prior_entropy: 3.2849, recall: 0.3433, relative_absolute_error: 0.8475, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.9161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.4748, kappa: 0.4236, kb_relative_information_score: 5041.9691, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.4926, predictive_accuracy: 0.4836, prior_entropy: 3.2849, recall: 0.4836, relative_absolute_error: 0.6864, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2442, root_relative_squared_error: 0.8164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.4176, kappa: 0.3553, kb_relative_information_score: 4213.8325, mean_absolute_error: 0.1366, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.4352, predictive_accuracy: 0.4225, prior_entropy: 3.2849, recall: 0.4225, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.8604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6206, f_measure: 0.1161, kappa: 0.0671, kb_relative_information_score: 734.8196, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.1254, predictive_accuracy: 0.1836, prior_entropy: 3.2849, recall: 0.1836, relative_absolute_error: 0.9803, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2959, root_relative_squared_error: 0.9889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7741, f_measure: 0.2411, kappa: 0.1801, kb_relative_information_score: 2281.7978, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.2934, predictive_accuracy: 0.2727, prior_entropy: 3.2849, recall: 0.2727, relative_absolute_error: 0.905, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6197, kappa: 0.0554, kb_relative_information_score: 660.851, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.179, number_of_instances: 10218, predictive_accuracy: 0.172, prior_entropy: 3.2849, recall: 0.172, relative_absolute_error: 0.9848, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.9908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.3669, kappa: 0.3046, kb_relative_information_score: 3383.1845, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.3911, predictive_accuracy: 0.3768, prior_entropy: 3.2849, recall: 0.3768, relative_absolute_error: 0.8308, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.9032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.4683, kappa: 0.4205, kb_relative_information_score: 5496.545, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.471, predictive_accuracy: 0.4826, prior_entropy: 3.2849, recall: 0.4826, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2382, root_relative_squared_error: 0.7963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.3466, kappa: 0.2822, kb_relative_information_score: 3193.8028, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.3641, predictive_accuracy: 0.3573, prior_entropy: 3.2849, recall: 0.3573, relative_absolute_error: 0.8481, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.273, root_relative_squared_error: 0.9127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.7231, kappa: 0.6907, kb_relative_information_score: 7429.7688, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.7289, predictive_accuracy: 0.7227, prior_entropy: 3.2849, recall: 0.7227, relative_absolute_error: 0.4299, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.6332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.4246, kappa: 0.3673, kb_relative_information_score: 4212.7612, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.4456, predictive_accuracy: 0.4333, prior_entropy: 3.2849, recall: 0.4333, relative_absolute_error: 0.7688, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.2729, kappa: 0.2225, kb_relative_information_score: 2467.6295, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.3405, predictive_accuracy: 0.3018, prior_entropy: 3.2849, recall: 0.3018, relative_absolute_error: 0.8985, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.9473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.717, kappa: 0.6844, kb_relative_information_score: 7255.3721, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.7174, predictive_accuracy: 0.7175, prior_entropy: 3.2849, recall: 0.7175, relative_absolute_error: 0.4354, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.6503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.4725, kappa: 0.4461, kb_relative_information_score: 5518.6257, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.4999, predictive_accuracy: 0.5053, prior_entropy: 3.2849, recall: 0.5053, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.7949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.597, kappa: 0.5533, kb_relative_information_score: 6545.2112, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.606, predictive_accuracy: 0.5994, prior_entropy: 3.2849, recall: 0.5994, relative_absolute_error: 0.5348, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.7222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.6115, kappa: 0.5707, kb_relative_information_score: 6678.7427, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6195, predictive_accuracy: 0.6152, prior_entropy: 3.2849, recall: 0.6152, relative_absolute_error: 0.5184, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.7137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6193, kappa: 0.0643, kb_relative_information_score: 784.9261, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.179, number_of_instances: 10218, predictive_accuracy: 0.1808, prior_entropy: 3.2849, recall: 0.1808, relative_absolute_error: 0.9792, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2958, root_relative_squared_error: 0.9886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.655, kappa: 0.6165, kb_relative_information_score: 7045.7992, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6675, predictive_accuracy: 0.6561, prior_entropy: 3.2849, recall: 0.6561, relative_absolute_error: 0.4845, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.6827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, f_measure: 0.4197, kappa: 0.3613, kb_relative_information_score: 4110.3392, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.4412, predictive_accuracy: 0.4279, prior_entropy: 3.2849, recall: 0.4279, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.26, root_relative_squared_error: 0.8692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.53, kappa: 0.4819, kb_relative_information_score: 5754.2712, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.5438, predictive_accuracy: 0.5353, prior_entropy: 3.2849, recall: 0.5353, relative_absolute_error: 0.6176, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.232, root_relative_squared_error: 0.7754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7819, f_measure: 0.2947, kappa: 0.2544, kb_relative_information_score: 2238.1272, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.3919, predictive_accuracy: 0.3305, prior_entropy: 3.2849, recall: 0.3305, relative_absolute_error: 0.9175, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.9529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6715, f_measure: 0.1335, kappa: 0.0858, kb_relative_information_score: 1189.6178, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.2406, predictive_accuracy: 0.1893, prior_entropy: 3.2849, recall: 0.1893, relative_absolute_error: 0.968, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.9841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.4465, kappa: 0.3912, kb_relative_information_score: 4289.1309, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.4633, predictive_accuracy: 0.4545, prior_entropy: 3.2849, recall: 0.4545, relative_absolute_error: 0.769, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2572, root_relative_squared_error: 0.8598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.7006, kappa: 0.6655, kb_relative_information_score: 7276.0088, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.7093, predictive_accuracy: 0.7002, prior_entropy: 3.2849, recall: 0.7002, relative_absolute_error: 0.4461, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.6543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.4798, kappa: 0.4263, kb_relative_information_score: 5012.9674, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.4965, predictive_accuracy: 0.4857, prior_entropy: 3.2849, recall: 0.4857, relative_absolute_error: 0.6931, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.8166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.4302, kappa: 0.3737, kb_relative_information_score: 4197.1791, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.4489, predictive_accuracy: 0.4389, prior_entropy: 3.2849, recall: 0.4389, relative_absolute_error: 0.7745, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2589, root_relative_squared_error: 0.8655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, f_measure: 0.2273, kappa: 0.1648, kb_relative_information_score: 2425.9084, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.2203, predictive_accuracy: 0.2546, prior_entropy: 3.2849, recall: 0.2546, relative_absolute_error: 0.9043, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2831, root_relative_squared_error: 0.9462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.4452, kappa: 0.39, kb_relative_information_score: 4295.0865, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.4622, predictive_accuracy: 0.4534, prior_entropy: 3.2849, recall: 0.4534, relative_absolute_error: 0.7687, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.257, root_relative_squared_error: 0.8592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, f_measure: 0.3629, kappa: 0.3128, kb_relative_information_score: 3848.6192, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.3894, predictive_accuracy: 0.3886, prior_entropy: 3.2849, recall: 0.3886, relative_absolute_error: 0.8041, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.8809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.6029, kappa: 0.5626, kb_relative_information_score: 6609.6521, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6116, predictive_accuracy: 0.6078, prior_entropy: 3.2849, recall: 0.6078, relative_absolute_error: 0.5287, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.215, root_relative_squared_error: 0.7188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6478, kappa: 0.077, kb_relative_information_score: 1081.2924, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.179, number_of_instances: 10218, predictive_accuracy: 0.1933, prior_entropy: 3.2849, recall: 0.1933, relative_absolute_error: 0.968, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.294, root_relative_squared_error: 0.9828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.7019, kappa: 0.6668, kb_relative_information_score: 7290.2297, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.7099, predictive_accuracy: 0.7014, prior_entropy: 3.2849, recall: 0.7014, relative_absolute_error: 0.4438, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.6535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.851, f_measure: 0.3783, kappa: 0.3176, kb_relative_information_score: 3670.0967, mean_absolute_error: 0.1455, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.3959, predictive_accuracy: 0.3891, prior_entropy: 3.2849, recall: 0.3891, relative_absolute_error: 0.8128, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.4567, kappa: 0.4355, kb_relative_information_score: 5446.4573, mean_absolute_error: 0.1189, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.4848, predictive_accuracy: 0.4971, prior_entropy: 3.2849, recall: 0.4971, relative_absolute_error: 0.6642, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2382, root_relative_squared_error: 0.7963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.4692, kappa: 0.4145, kb_relative_information_score: 4813.0929, mean_absolute_error: 0.1274, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.4882, predictive_accuracy: 0.4753, prior_entropy: 3.2849, recall: 0.4753, relative_absolute_error: 0.7114, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2479, root_relative_squared_error: 0.8286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.3317, kappa: 0.2695, kb_relative_information_score: 2890.3363, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.3548, predictive_accuracy: 0.346, prior_entropy: 3.2849, recall: 0.346, relative_absolute_error: 0.8688, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2769, root_relative_squared_error: 0.9254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.3899, kappa: 0.3325, kb_relative_information_score: 3851.1751, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.4097, predictive_accuracy: 0.4024, prior_entropy: 3.2849, recall: 0.4024, relative_absolute_error: 0.7992, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.8829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.4151, kappa: 0.3707, kb_relative_information_score: 3865.384, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.4193, predictive_accuracy: 0.4374, prior_entropy: 3.2849, recall: 0.4374, relative_absolute_error: 0.809, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.8815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.8185, kappa: 0.7976, kb_relative_information_score: 7864.9209, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.8188, predictive_accuracy: 0.8188, prior_entropy: 3.2849, recall: 0.8188, relative_absolute_error: 0.3564, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.167, root_relative_squared_error: 0.5583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6228, kappa: 0.0785, kb_relative_information_score: 625.1886, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.179, number_of_instances: 10218, predictive_accuracy: 0.1939, prior_entropy: 3.2849, recall: 0.1939, relative_absolute_error: 0.9835, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, kappa: 0.1017, kb_relative_information_score: 1180.9762, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.179, number_of_instances: 10218, predictive_accuracy: 0.21, prior_entropy: 3.2849, recall: 0.21, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.293, root_relative_squared_error: 0.9794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.6616, kappa: 0.6235, kb_relative_information_score: 7062.5142, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6743, predictive_accuracy: 0.6625, prior_entropy: 3.2849, recall: 0.6625, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.203, root_relative_squared_error: 0.6787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.8698, kappa: 0.8548, kb_relative_information_score: 7638.6979, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.8707, predictive_accuracy: 0.87, prior_entropy: 3.2849, recall: 0.87, relative_absolute_error: 0.4195, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.5813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.8959, kappa: 0.884, kb_relative_information_score: 7468.1217, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.8959, predictive_accuracy: 0.8963, prior_entropy: 3.2849, recall: 0.8963, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.5762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.6747, kappa: 0.6374, kb_relative_information_score: 7128.4282, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6854, predictive_accuracy: 0.675, prior_entropy: 3.2849, recall: 0.675, relative_absolute_error: 0.463, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.201, root_relative_squared_error: 0.6717,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.4368, kappa: 0.3804, kb_relative_information_score: 4258.422, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.4537, predictive_accuracy: 0.4449, prior_entropy: 3.2849, recall: 0.4449, relative_absolute_error: 0.7708, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2579, root_relative_squared_error: 0.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.4203, kappa: 0.3621, kb_relative_information_score: 4143.1558, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.442, predictive_accuracy: 0.4287, prior_entropy: 3.2849, recall: 0.4287, relative_absolute_error: 0.7753, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2595, root_relative_squared_error: 0.8674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.3914, kappa: 0.3327, kb_relative_information_score: 3861.0005, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.4115, predictive_accuracy: 0.4026, prior_entropy: 3.2849, recall: 0.4026, relative_absolute_error: 0.7984, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2639, root_relative_squared_error: 0.8823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.5203, kappa: 0.4703, kb_relative_information_score: 5630.1239, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.5356, predictive_accuracy: 0.5249, prior_entropy: 3.2849, recall: 0.5249, relative_absolute_error: 0.6294, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.7831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.7206, kappa: 0.6878, kb_relative_information_score: 7397.1439, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.7236, predictive_accuracy: 0.7204, prior_entropy: 3.2849, recall: 0.7204, relative_absolute_error: 0.4219, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.6378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, kappa: 0.2109, kb_relative_information_score: 1928.133, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.179, number_of_instances: 10218, predictive_accuracy: 0.2874, prior_entropy: 3.2849, recall: 0.2874, relative_absolute_error: 0.937, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.9668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.5398, kappa: 0.4999, kb_relative_information_score: 5929.887, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.5439, predictive_accuracy: 0.5523, prior_entropy: 3.2849, recall: 0.5523, relative_absolute_error: 0.5971, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.7679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.6696, kappa: 0.6324, kb_relative_information_score: 7106.4, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6831, predictive_accuracy: 0.6705, prior_entropy: 3.2849, recall: 0.6705, relative_absolute_error: 0.468, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.6742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.3531, kappa: 0.292, kb_relative_information_score: 3204.3667, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.3768, predictive_accuracy: 0.3655, prior_entropy: 3.2849, recall: 0.3655, relative_absolute_error: 0.8465, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.9116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.6621, kappa: 0.6256, kb_relative_information_score: 7108.643, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6731, predictive_accuracy: 0.6643, prior_entropy: 3.2849, recall: 0.6643, relative_absolute_error: 0.4721, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.6738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.4695, kappa: 0.4167, kb_relative_information_score: 4991.4049, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.4827, predictive_accuracy: 0.4773, prior_entropy: 3.2849, recall: 0.4773, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.8192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8048, kappa: 0.7825, kb_relative_information_score: 7874.1491, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.805, predictive_accuracy: 0.8053, prior_entropy: 3.2849, recall: 0.8053, relative_absolute_error: 0.3413, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.5612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.4564, kappa: 0.4122, kb_relative_information_score: 5261.584, mean_absolute_error: 0.1199, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.4673, predictive_accuracy: 0.4756, prior_entropy: 3.2849, recall: 0.4756, relative_absolute_error: 0.6699, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.8119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.5054, kappa: 0.4542, kb_relative_information_score: 5458.687, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.5236, predictive_accuracy: 0.5105, prior_entropy: 3.2849, recall: 0.5105, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.6383, kappa: 0.5982, kb_relative_information_score: 6917.1065, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6472, predictive_accuracy: 0.6398, prior_entropy: 3.2849, recall: 0.6398, relative_absolute_error: 0.4948, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.6944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.4544, kappa: 0.4091, kb_relative_information_score: 5146.1558, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.459, predictive_accuracy: 0.4723, prior_entropy: 3.2849, recall: 0.4723, relative_absolute_error: 0.6904, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2431, root_relative_squared_error: 0.8125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.3837, kappa: 0.3237, kb_relative_information_score: 3732.2644, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.4052, predictive_accuracy: 0.3945, prior_entropy: 3.2849, recall: 0.3945, relative_absolute_error: 0.808, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.8883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.6164, kappa: 0.5759, kb_relative_information_score: 6723.4605, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.626, predictive_accuracy: 0.6198, prior_entropy: 3.2849, recall: 0.6198, relative_absolute_error: 0.514, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.7089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7941, f_measure: 0.3131, kappa: 0.2527, kb_relative_information_score: 2704.1495, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.359, predictive_accuracy: 0.3306, prior_entropy: 3.2849, recall: 0.3306, relative_absolute_error: 0.8816, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2795, root_relative_squared_error: 0.9341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.6804, kappa: 0.6432, kb_relative_information_score: 7097.9335, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6836, predictive_accuracy: 0.6805, prior_entropy: 3.2849, recall: 0.6805, relative_absolute_error: 0.4606, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.6742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.6229, kappa: 0.5822, kb_relative_information_score: 6750.0969, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.626, predictive_accuracy: 0.6258, prior_entropy: 3.2849, recall: 0.6258, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.212, root_relative_squared_error: 0.7087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.6198, kappa: 0.5792, kb_relative_information_score: 6747.6236, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6273, predictive_accuracy: 0.6227, prior_entropy: 3.2849, recall: 0.6227, relative_absolute_error: 0.5124, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.7081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6202, kappa: 0.0728, kb_relative_information_score: 700.9418, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.179, number_of_instances: 10218, predictive_accuracy: 0.1921, prior_entropy: 3.2849, recall: 0.1921, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.9883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.3098, kappa: 0.2508, kb_relative_information_score: 2674.8739, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.3646, predictive_accuracy: 0.3281, prior_entropy: 3.2849, recall: 0.3281, relative_absolute_error: 0.8836, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2805, root_relative_squared_error: 0.9375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.631, kappa: 0.0773, kb_relative_information_score: 774.0148, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.179, number_of_instances: 10218, predictive_accuracy: 0.1962, prior_entropy: 3.2849, recall: 0.1962, relative_absolute_error: 0.9779, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2952, root_relative_squared_error: 0.9866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7652, f_measure: 0.2259, kappa: 0.1895, kb_relative_information_score: 2165.4263, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.3318, predictive_accuracy: 0.2719, prior_entropy: 3.2849, recall: 0.2719, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.9577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5704, kappa: 0.0357, kb_relative_information_score: 403.1218, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.179, number_of_instances: 10218, predictive_accuracy: 0.1649, prior_entropy: 3.2849, recall: 0.1649, relative_absolute_error: 0.9904, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2974, root_relative_squared_error: 0.9941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.417, kappa: 0.388, kb_relative_information_score: 4766.8156, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.444, predictive_accuracy: 0.4532, prior_entropy: 3.2849, recall: 0.4532, relative_absolute_error: 0.7095, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.8336,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.3859, kappa: 0.3274, kb_relative_information_score: 3799.1511, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.4063, predictive_accuracy: 0.3979, prior_entropy: 3.2849, recall: 0.3979, relative_absolute_error: 0.8026, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.8851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.7081, kappa: 0.6738, kb_relative_information_score: 7355.1068, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.7144, predictive_accuracy: 0.7077, prior_entropy: 3.2849, recall: 0.7077, relative_absolute_error: 0.4359, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.193, root_relative_squared_error: 0.6452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.574, kappa: 0.0395, kb_relative_information_score: 419.9025, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.179, number_of_instances: 10218, predictive_accuracy: 0.1678, prior_entropy: 3.2849, recall: 0.1678, relative_absolute_error: 0.9898, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2972, root_relative_squared_error: 0.9935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.5869, kappa: 0.5456, kb_relative_information_score: 6366.5096, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.5866, predictive_accuracy: 0.5933, prior_entropy: 3.2849, recall: 0.5933, relative_absolute_error: 0.5515, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.7378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.4567, kappa: 0.3991, kb_relative_information_score: 4665.4007, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.4737, predictive_accuracy: 0.4614, prior_entropy: 3.2849, recall: 0.4614, relative_absolute_error: 0.7274, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.8369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.3224, kappa: 0.2627, kb_relative_information_score: 2735.3097, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.3721, predictive_accuracy: 0.3395, prior_entropy: 3.2849, recall: 0.3395, relative_absolute_error: 0.8791, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2792, root_relative_squared_error: 0.9331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.6001, kappa: 0.559, kb_relative_information_score: 6583.0089, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.6066, predictive_accuracy: 0.6047, prior_entropy: 3.2849, recall: 0.6047, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.7214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.616, kappa: 0.0448, kb_relative_information_score: 602.6286, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.179, number_of_instances: 10218, predictive_accuracy: 0.1699, prior_entropy: 3.2849, recall: 0.1699, relative_absolute_error: 0.9833, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.9904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.5038, kappa: 0.4533, kb_relative_information_score: 5330.5907, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.5198, predictive_accuracy: 0.5097, prior_entropy: 3.2849, recall: 0.5097, relative_absolute_error: 0.6616, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2387, root_relative_squared_error: 0.7979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.4956, kappa: 0.4516, kb_relative_information_score: 5388.5972, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.179, number_of_instances: 10218, precision: 0.5121, predictive_accuracy: 0.5089, prior_entropy: 3.2849, recall: 0.5089, relative_absolute_error: 0.6476, root_mean_prior_squared_error: 0.2992, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.7981,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs