Task
Supervised Classification on vehicle

Supervised Classification on vehicle

Task 53 Supervised Classification vehicle 23128 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_218 study_41 study_50 study_7 study_70 study_98 study_99 under100k under1m
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23128 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.7621, kappa: 0.6879, kb_relative_information_score: 0.725, mean_absolute_error: 0.1189, mean_prior_absolute_error: 0.3748, weighted_recall: 0.766, number_of_instances: 846, precision: 0.759, predictive_accuracy: 0.766, prior_entropy: 1.9991, relative_absolute_error: 0.3171, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.6897, unweighted_recall: 0.7687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.7675, kappa: 0.6958, kb_relative_information_score: 0.7195, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7719, number_of_instances: 846, precision: 0.7644, predictive_accuracy: 0.7719, prior_entropy: 1.9991, relative_absolute_error: 0.3218, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.7029, unweighted_recall: 0.7747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.7649, kappa: 0.691, kb_relative_information_score: 0.716, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7683, number_of_instances: 846, precision: 0.7623, predictive_accuracy: 0.7683, prior_entropy: 1.9991, relative_absolute_error: 0.3266, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.707, unweighted_recall: 0.7711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.7681, kappa: 0.6975, kb_relative_information_score: 0.6884, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.3748, weighted_recall: 0.773, number_of_instances: 846, precision: 0.7649, predictive_accuracy: 0.773, prior_entropy: 1.9991, relative_absolute_error: 0.3889, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.614, unweighted_recall: 0.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6227, f_measure: 0.3229, kappa: 0.1129, kb_relative_information_score: 0.1164, mean_absolute_error: 0.3535, mean_prior_absolute_error: 0.3748, weighted_recall: 0.3333, number_of_instances: 846, precision: 0.3211, predictive_accuracy: 0.3333, prior_entropy: 1.9991, relative_absolute_error: 0.9432, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.9731, unweighted_recall: 0.3385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6227, f_measure: 0.3229, kappa: 0.1129, kb_relative_information_score: 0.1164, mean_absolute_error: 0.3535, mean_prior_absolute_error: 0.3748, weighted_recall: 0.3333, number_of_instances: 846, precision: 0.3211, predictive_accuracy: 0.3333, prior_entropy: 1.9991, relative_absolute_error: 0.9432, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.9731, unweighted_recall: 0.3385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, kappa: 0.1935, kb_relative_information_score: 0.1955, mean_absolute_error: 0.3386, mean_prior_absolute_error: 0.3748, weighted_recall: 0.3901, number_of_instances: 846, predictive_accuracy: 0.3901, prior_entropy: 1.9991, relative_absolute_error: 0.9033, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.9526, unweighted_recall: 0.4022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, f_measure: 0.6271, kappa: 0.4726, kb_relative_information_score: 0.2078, mean_absolute_error: 0.3316, mean_prior_absolute_error: 0.3748, weighted_recall: 0.6052, number_of_instances: 846, precision: 0.6683, predictive_accuracy: 0.6052, prior_entropy: 1.9991, relative_absolute_error: 0.8845, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.9067, unweighted_recall: 0.6063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.745, f_measure: 0.3918, kappa: 0.1938, kb_relative_information_score: 0.0855, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.3748, weighted_recall: 0.3983, number_of_instances: 846, precision: 0.441, predictive_accuracy: 0.3983, prior_entropy: 1.9991, relative_absolute_error: 0.9574, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.965, unweighted_recall: 0.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.7621, kappa: 0.6879, kb_relative_information_score: 0.725, mean_absolute_error: 0.1189, mean_prior_absolute_error: 0.3748, weighted_recall: 0.766, number_of_instances: 846, precision: 0.759, predictive_accuracy: 0.766, prior_entropy: 1.9991, relative_absolute_error: 0.3171, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.6897, unweighted_recall: 0.7687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.7621, kappa: 0.6879, kb_relative_information_score: 0.725, mean_absolute_error: 0.1189, mean_prior_absolute_error: 0.3748, weighted_recall: 0.766, number_of_instances: 846, precision: 0.759, predictive_accuracy: 0.766, prior_entropy: 1.9991, relative_absolute_error: 0.3171, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.6897, unweighted_recall: 0.7687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.7796, kappa: 0.7099, kb_relative_information_score: 0.7361, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7825, number_of_instances: 846, precision: 0.7776, predictive_accuracy: 0.7825, prior_entropy: 1.9991, relative_absolute_error: 0.3013, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3055, root_relative_squared_error: 0.7057, unweighted_recall: 0.7851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.7719, kappa: 0.7005, kb_relative_information_score: 0.7149, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7754, number_of_instances: 846, precision: 0.7694, predictive_accuracy: 0.7754, prior_entropy: 1.9991, relative_absolute_error: 0.328, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.7062, unweighted_recall: 0.7781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.7638, kappa: 0.6911, kb_relative_information_score: 0.7159, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.3748, weighted_recall: 0.7683, number_of_instances: 846, precision: 0.7604, predictive_accuracy: 0.7683, prior_entropy: 1.9991, relative_absolute_error: 0.3259, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3048, root_relative_squared_error: 0.704, unweighted_recall: 0.7712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.7621, kappa: 0.6879, kb_relative_information_score: 0.725, mean_absolute_error: 0.1189, mean_prior_absolute_error: 0.3748, weighted_recall: 0.766, number_of_instances: 846, precision: 0.759, predictive_accuracy: 0.766, prior_entropy: 1.9991, relative_absolute_error: 0.3171, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.6897, unweighted_recall: 0.7687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.8579, kappa: 0.8108, kb_relative_information_score: 0.7762, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.3748, weighted_recall: 0.8582, number_of_instances: 846, precision: 0.8578, predictive_accuracy: 0.8582, prior_entropy: 1.9991, relative_absolute_error: 0.2942, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.5183, unweighted_recall: 0.8599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.7621, kappa: 0.6879, kb_relative_information_score: 0.725, mean_absolute_error: 0.1189, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.759, predictive_accuracy: 0.766, prior_entropy: 1.9991, recall: 0.766, relative_absolute_error: 0.3171, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.6897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.7986, kappa: 0.7336, kb_relative_information_score: 0.7286, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7972, predictive_accuracy: 0.8002, prior_entropy: 1.9991, recall: 0.8002, relative_absolute_error: 0.3518, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.5764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.8387, kappa: 0.7856, kb_relative_information_score: 0.7625, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8382, predictive_accuracy: 0.8392, prior_entropy: 1.9991, recall: 0.8392, relative_absolute_error: 0.3101, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.7288, kappa: 0.6373, kb_relative_information_score: 0.6401, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7297, predictive_accuracy: 0.7281, prior_entropy: 1.9991, recall: 0.7281, relative_absolute_error: 0.4518, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.6639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.6424, kappa: 0.5524, kb_relative_information_score: 0.5397, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6419, predictive_accuracy: 0.6643, prior_entropy: 1.9991, recall: 0.6643, relative_absolute_error: 0.5782, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.7737, kappa: 0.7036, kb_relative_information_score: 0.6807, mean_absolute_error: 0.1533, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7708, predictive_accuracy: 0.7778, prior_entropy: 1.9991, recall: 0.7778, relative_absolute_error: 0.4091, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2692, root_relative_squared_error: 0.6218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.8324, kappa: 0.7761, kb_relative_information_score: 0.7457, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8326, predictive_accuracy: 0.8322, prior_entropy: 1.9991, recall: 0.8322, relative_absolute_error: 0.3315, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2417, root_relative_squared_error: 0.5583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.7718, kappa: 0.6941, kb_relative_information_score: 0.6934, mean_absolute_error: 0.1465, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7729, predictive_accuracy: 0.7707, prior_entropy: 1.9991, recall: 0.7707, relative_absolute_error: 0.3908, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2653, root_relative_squared_error: 0.6128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.799, kappa: 0.7352, kb_relative_information_score: 0.7079, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7971, predictive_accuracy: 0.8014, prior_entropy: 1.9991, recall: 0.8014, relative_absolute_error: 0.3755, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2567, root_relative_squared_error: 0.5929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.7258, kappa: 0.6326, kb_relative_information_score: 0.6357, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7272, predictive_accuracy: 0.7246, prior_entropy: 1.9991, recall: 0.7246, relative_absolute_error: 0.4565, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.6679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.7704, kappa: 0.6925, kb_relative_information_score: 0.6932, mean_absolute_error: 0.1466, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7714, predictive_accuracy: 0.7695, prior_entropy: 1.9991, recall: 0.7695, relative_absolute_error: 0.3911, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2654, root_relative_squared_error: 0.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5898, kappa: 0.1899, kb_relative_information_score: 0.0777, mean_absolute_error: 0.3625, mean_prior_absolute_error: 0.3748, number_of_instances: 846, predictive_accuracy: 0.3853, prior_entropy: 1.9991, recall: 0.3853, relative_absolute_error: 0.9672, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.9765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.7977, kappa: 0.732, kb_relative_information_score: 0.7249, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7967, predictive_accuracy: 0.7991, prior_entropy: 1.9991, recall: 0.7991, relative_absolute_error: 0.3543, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.5734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.8544, kappa: 0.8061, kb_relative_information_score: 0.7701, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8543, predictive_accuracy: 0.8546, prior_entropy: 1.9991, recall: 0.8546, relative_absolute_error: 0.2995, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.5263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.8287, kappa: 0.773, kb_relative_information_score: 0.7481, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.828, predictive_accuracy: 0.8298, prior_entropy: 1.9991, recall: 0.8298, relative_absolute_error: 0.3287, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2393, root_relative_squared_error: 0.5529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.537, kappa: 0.4293, kb_relative_information_score: 0.3679, mean_absolute_error: 0.2811, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5427, predictive_accuracy: 0.5709, prior_entropy: 1.9991, recall: 0.5709, relative_absolute_error: 0.75, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.8268, kappa: 0.7699, kb_relative_information_score: 0.7508, mean_absolute_error: 0.1212, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8267, predictive_accuracy: 0.8274, prior_entropy: 1.9991, recall: 0.8274, relative_absolute_error: 0.3234, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2374, root_relative_squared_error: 0.5484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7613, f_measure: 0.3051, kappa: 0.2129, kb_relative_information_score: 0.223, mean_absolute_error: 0.3265, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.4283, predictive_accuracy: 0.4043, prior_entropy: 1.9991, recall: 0.4043, relative_absolute_error: 0.871, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.9358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.793, kappa: 0.7273, kb_relative_information_score: 0.714, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.791, predictive_accuracy: 0.7955, prior_entropy: 1.9991, recall: 0.7955, relative_absolute_error: 0.3667, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2539, root_relative_squared_error: 0.5865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.8136, kappa: 0.7541, kb_relative_information_score: 0.7224, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8119, predictive_accuracy: 0.8156, prior_entropy: 1.9991, recall: 0.8156, relative_absolute_error: 0.3595, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.801, kappa: 0.7335, kb_relative_information_score: 0.6589, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8024, predictive_accuracy: 0.8002, prior_entropy: 1.9991, recall: 0.8002, relative_absolute_error: 0.4465, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.6231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.596, kappa: 0.1899, kb_relative_information_score: 0.0793, mean_absolute_error: 0.3623, mean_prior_absolute_error: 0.3748, number_of_instances: 846, predictive_accuracy: 0.3853, prior_entropy: 1.9991, recall: 0.3853, relative_absolute_error: 0.9665, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.9761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.8375, kappa: 0.784, kb_relative_information_score: 0.7597, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8372, predictive_accuracy: 0.8381, prior_entropy: 1.9991, recall: 0.8381, relative_absolute_error: 0.3128, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.5352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.8021, kappa: 0.7383, kb_relative_information_score: 0.7261, mean_absolute_error: 0.1337, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8008, predictive_accuracy: 0.8038, prior_entropy: 1.9991, recall: 0.8038, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.25, root_relative_squared_error: 0.5774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.8333, kappa: 0.7777, kb_relative_information_score: 0.7484, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8333, predictive_accuracy: 0.8333, prior_entropy: 1.9991, recall: 0.8333, relative_absolute_error: 0.3283, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2402, root_relative_squared_error: 0.5547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.8218, kappa: 0.7634, kb_relative_information_score: 0.7322, mean_absolute_error: 0.1316, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8231, predictive_accuracy: 0.8227, prior_entropy: 1.9991, recall: 0.8227, relative_absolute_error: 0.3511, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2441, root_relative_squared_error: 0.5638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.8299, kappa: 0.7746, kb_relative_information_score: 0.753, mean_absolute_error: 0.1212, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8292, predictive_accuracy: 0.831, prior_entropy: 1.9991, recall: 0.831, relative_absolute_error: 0.3232, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.5464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.7593, kappa: 0.6749, kb_relative_information_score: 0.4763, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7643, predictive_accuracy: 0.7565, prior_entropy: 1.9991, recall: 0.7565, relative_absolute_error: 0.6359, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.7411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5934, f_measure: 0.2602, kappa: 0.1811, kb_relative_information_score: 0.0789, mean_absolute_error: 0.3622, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.2636, predictive_accuracy: 0.3794, prior_entropy: 1.9991, recall: 0.3794, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.617, f_measure: 0.3003, kappa: 0.1403, kb_relative_information_score: 0.0798, mean_absolute_error: 0.361, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.3124, predictive_accuracy: 0.3558, prior_entropy: 1.9991, recall: 0.3558, relative_absolute_error: 0.963, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4235, root_relative_squared_error: 0.9783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, f_measure: 0.3656, kappa: 0.1778, kb_relative_information_score: 0.1731, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.402, predictive_accuracy: 0.3818, prior_entropy: 1.9991, recall: 0.3818, relative_absolute_error: 0.9081, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.8134, kappa: 0.7525, kb_relative_information_score: 0.7427, mean_absolute_error: 0.1258, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8126, predictive_accuracy: 0.8144, prior_entropy: 1.9991, recall: 0.8144, relative_absolute_error: 0.3357, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.5592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.7125, kappa: 0.628, kb_relative_information_score: 0.5684, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7122, predictive_accuracy: 0.721, prior_entropy: 1.9991, recall: 0.721, relative_absolute_error: 0.5479, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3144, root_relative_squared_error: 0.7261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.6082, kappa: 0.5155, kb_relative_information_score: 0.447, mean_absolute_error: 0.2484, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6667, predictive_accuracy: 0.6359, prior_entropy: 1.9991, recall: 0.6359, relative_absolute_error: 0.6626, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.7734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5899, kappa: 0.1914, kb_relative_information_score: 0.0782, mean_absolute_error: 0.3624, mean_prior_absolute_error: 0.3748, number_of_instances: 846, predictive_accuracy: 0.3865, prior_entropy: 1.9991, recall: 0.3865, relative_absolute_error: 0.9669, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.9763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7642, f_measure: 0.4833, kappa: 0.3232, kb_relative_information_score: 0.2422, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5001, predictive_accuracy: 0.4929, prior_entropy: 1.9991, recall: 0.4929, relative_absolute_error: 0.8369, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.7621, kappa: 0.6815, kb_relative_information_score: 0.6927, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7631, predictive_accuracy: 0.7612, prior_entropy: 1.9991, recall: 0.7612, relative_absolute_error: 0.3913, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.6138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.7718, kappa: 0.6941, kb_relative_information_score: 0.6943, mean_absolute_error: 0.1461, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7729, predictive_accuracy: 0.7707, prior_entropy: 1.9991, recall: 0.7707, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.6119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.789, f_measure: 0.3768, kappa: 0.216, kb_relative_information_score: 0.1219, mean_absolute_error: 0.3458, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6003, predictive_accuracy: 0.4125, prior_entropy: 1.9991, recall: 0.4125, relative_absolute_error: 0.9225, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.9456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, f_measure: 0.6142, kappa: 0.5099, kb_relative_information_score: 0.4655, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6088, predictive_accuracy: 0.6324, prior_entropy: 1.9991, recall: 0.6324, relative_absolute_error: 0.6581, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.7934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5922, f_measure: 0.2567, kappa: 0.196, kb_relative_information_score: 0.0773, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.3277, predictive_accuracy: 0.3901, prior_entropy: 1.9991, recall: 0.3901, relative_absolute_error: 0.9673, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.9766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.8595, kappa: 0.8124, kb_relative_information_score: 0.7685, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8598, predictive_accuracy: 0.8593, prior_entropy: 1.9991, recall: 0.8593, relative_absolute_error: 0.3025, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.228, root_relative_squared_error: 0.5266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.7914, kappa: 0.7257, kb_relative_information_score: 0.6988, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7899, predictive_accuracy: 0.7943, prior_entropy: 1.9991, recall: 0.7943, relative_absolute_error: 0.3867, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2607, root_relative_squared_error: 0.6023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.8424, kappa: 0.7903, kb_relative_information_score: 0.766, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8423, predictive_accuracy: 0.8428, prior_entropy: 1.9991, recall: 0.8428, relative_absolute_error: 0.3055, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.5298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.7947, kappa: 0.7257, kb_relative_information_score: 0.7134, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7954, predictive_accuracy: 0.7943, prior_entropy: 1.9991, recall: 0.7943, relative_absolute_error: 0.3677, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.5931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.801, kappa: 0.7367, kb_relative_information_score: 0.7182, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7996, predictive_accuracy: 0.8026, prior_entropy: 1.9991, recall: 0.8026, relative_absolute_error: 0.3619, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2514, root_relative_squared_error: 0.5806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.7349, kappa: 0.6579, kb_relative_information_score: 0.6635, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7351, predictive_accuracy: 0.7435, prior_entropy: 1.9991, recall: 0.7435, relative_absolute_error: 0.4344, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2791, root_relative_squared_error: 0.6447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.7575, kappa: 0.6752, kb_relative_information_score: 0.6827, mean_absolute_error: 0.1512, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7585, predictive_accuracy: 0.7565, prior_entropy: 1.9991, recall: 0.7565, relative_absolute_error: 0.4032, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.8374, kappa: 0.784, kb_relative_information_score: 0.7632, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8369, predictive_accuracy: 0.8381, prior_entropy: 1.9991, recall: 0.8381, relative_absolute_error: 0.3095, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.5332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.8497, kappa: 0.7998, kb_relative_information_score: 0.7701, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8496, predictive_accuracy: 0.8499, prior_entropy: 1.9991, recall: 0.8499, relative_absolute_error: 0.3013, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.228, root_relative_squared_error: 0.5266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.7463, kappa: 0.669, kb_relative_information_score: 0.6381, mean_absolute_error: 0.1732, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7427, predictive_accuracy: 0.7518, prior_entropy: 1.9991, recall: 0.7518, relative_absolute_error: 0.462, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.6622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.8238, kappa: 0.7667, kb_relative_information_score: 0.748, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8229, predictive_accuracy: 0.8251, prior_entropy: 1.9991, recall: 0.8251, relative_absolute_error: 0.3279, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.5461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.6905, kappa: 0.6027, kb_relative_information_score: 0.542, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6923, predictive_accuracy: 0.7021, prior_entropy: 1.9991, recall: 0.7021, relative_absolute_error: 0.5768, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.7465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.765, kappa: 0.6926, kb_relative_information_score: 0.6622, mean_absolute_error: 0.1621, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7618, predictive_accuracy: 0.7695, prior_entropy: 1.9991, recall: 0.7695, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.6389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7506, f_measure: 0.293, kappa: 0.1915, kb_relative_information_score: 0.194, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.3947, predictive_accuracy: 0.3877, prior_entropy: 1.9991, recall: 0.3877, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.9458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.7816, kappa: 0.7131, kb_relative_information_score: 0.7027, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.779, predictive_accuracy: 0.7849, prior_entropy: 1.9991, recall: 0.7849, relative_absolute_error: 0.385, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.262, root_relative_squared_error: 0.6053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.8645, kappa: 0.8187, kb_relative_information_score: 0.771, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8651, predictive_accuracy: 0.8641, prior_entropy: 1.9991, recall: 0.8641, relative_absolute_error: 0.2994, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.5216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5962, kappa: 0.1899, kb_relative_information_score: 0.0793, mean_absolute_error: 0.3623, mean_prior_absolute_error: 0.3748, number_of_instances: 846, predictive_accuracy: 0.3853, prior_entropy: 1.9991, recall: 0.3853, relative_absolute_error: 0.9665, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.9761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.8175, kappa: 0.7588, kb_relative_information_score: 0.7356, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8162, predictive_accuracy: 0.8191, prior_entropy: 1.9991, recall: 0.8191, relative_absolute_error: 0.3426, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2441, root_relative_squared_error: 0.5638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, f_measure: 0.2837, kappa: 0.1811, kb_relative_information_score: 0.1599, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.3194, predictive_accuracy: 0.3794, prior_entropy: 1.9991, recall: 0.3794, relative_absolute_error: 0.9198, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.9543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.7316, kappa: 0.6454, kb_relative_information_score: 0.6708, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7297, predictive_accuracy: 0.734, prior_entropy: 1.9991, recall: 0.734, relative_absolute_error: 0.4219, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.6393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.7362, kappa: 0.6468, kb_relative_information_score: 0.6689, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7372, predictive_accuracy: 0.7352, prior_entropy: 1.9991, recall: 0.7352, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2755, root_relative_squared_error: 0.6364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.7209, kappa: 0.6374, kb_relative_information_score: 0.6093, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7191, predictive_accuracy: 0.7281, prior_entropy: 1.9991, recall: 0.7281, relative_absolute_error: 0.4987, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.6892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.8038, kappa: 0.7399, kb_relative_information_score: 0.7257, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8028, predictive_accuracy: 0.805, prior_entropy: 1.9991, recall: 0.805, relative_absolute_error: 0.3537, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.5724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.6878, kappa: 0.603, kb_relative_information_score: 0.5645, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6967, predictive_accuracy: 0.7021, prior_entropy: 1.9991, recall: 0.7021, relative_absolute_error: 0.5453, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.7148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5534, kappa: 0.0559, kb_relative_information_score: 0.0186, mean_absolute_error: 0.3739, mean_prior_absolute_error: 0.3748, number_of_instances: 846, predictive_accuracy: 0.292, prior_entropy: 1.9991, recall: 0.292, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.432, root_relative_squared_error: 0.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.8141, kappa: 0.7541, kb_relative_information_score: 0.7423, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.813, predictive_accuracy: 0.8156, prior_entropy: 1.9991, recall: 0.8156, relative_absolute_error: 0.3346, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.24, root_relative_squared_error: 0.5544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.8185, kappa: 0.7604, kb_relative_information_score: 0.7348, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8171, predictive_accuracy: 0.8203, prior_entropy: 1.9991, recall: 0.8203, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2446, root_relative_squared_error: 0.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.7544, kappa: 0.6784, kb_relative_information_score: 0.6491, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7512, predictive_accuracy: 0.7589, prior_entropy: 1.9991, recall: 0.7589, relative_absolute_error: 0.4482, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.6528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.8423, kappa: 0.7903, kb_relative_information_score: 0.7638, mean_absolute_error: 0.1153, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.842, predictive_accuracy: 0.8428, prior_entropy: 1.9991, recall: 0.8428, relative_absolute_error: 0.3075, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.5329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.7326, kappa: 0.642, kb_relative_information_score: 0.6521, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7341, predictive_accuracy: 0.7317, prior_entropy: 1.9991, recall: 0.7317, relative_absolute_error: 0.4387, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.6528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.5375, kappa: 0.3837, kb_relative_information_score: 0.3553, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5493, predictive_accuracy: 0.539, prior_entropy: 1.9991, recall: 0.539, relative_absolute_error: 0.7457, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.8733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.8106, kappa: 0.7494, kb_relative_information_score: 0.7399, mean_absolute_error: 0.1269, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8095, predictive_accuracy: 0.8121, prior_entropy: 1.9991, recall: 0.8121, relative_absolute_error: 0.3385, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2434, root_relative_squared_error: 0.5622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8084, f_measure: 0.545, kappa: 0.4272, kb_relative_information_score: 0.3936, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5417, predictive_accuracy: 0.5709, prior_entropy: 1.9991, recall: 0.5709, relative_absolute_error: 0.7265, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.8419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.7871, kappa: 0.7146, kb_relative_information_score: 0.704, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7884, predictive_accuracy: 0.7861, prior_entropy: 1.9991, recall: 0.7861, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.6023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.8546, kappa: 0.8061, kb_relative_information_score: 0.7599, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.855, predictive_accuracy: 0.8546, prior_entropy: 1.9991, recall: 0.8546, relative_absolute_error: 0.3148, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.5322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.8133, kappa: 0.7525, kb_relative_information_score: 0.7391, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8125, predictive_accuracy: 0.8144, prior_entropy: 1.9991, recall: 0.8144, relative_absolute_error: 0.339, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2433, root_relative_squared_error: 0.5619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.766, kappa: 0.6878, kb_relative_information_score: 0.6936, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7662, predictive_accuracy: 0.766, prior_entropy: 1.9991, recall: 0.766, relative_absolute_error: 0.3901, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.266, root_relative_squared_error: 0.6144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.8111, kappa: 0.7509, kb_relative_information_score: 0.7292, mean_absolute_error: 0.1317, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8095, predictive_accuracy: 0.8132, prior_entropy: 1.9991, recall: 0.8132, relative_absolute_error: 0.3512, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2484, root_relative_squared_error: 0.5738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.8422, kappa: 0.7887, kb_relative_information_score: 0.7225, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8429, predictive_accuracy: 0.8416, prior_entropy: 1.9991, recall: 0.8416, relative_absolute_error: 0.3649, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.5579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.8378, kappa: 0.784, kb_relative_information_score: 0.7582, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.838, predictive_accuracy: 0.8381, prior_entropy: 1.9991, recall: 0.8381, relative_absolute_error: 0.3162, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2348, root_relative_squared_error: 0.5423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.838, kappa: 0.784, kb_relative_information_score: 0.7524, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8381, predictive_accuracy: 0.8381, prior_entropy: 1.9991, recall: 0.8381, relative_absolute_error: 0.3244, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2377, root_relative_squared_error: 0.5491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.801, kappa: 0.7368, kb_relative_information_score: 0.7321, mean_absolute_error: 0.1298, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7998, predictive_accuracy: 0.8026, prior_entropy: 1.9991, recall: 0.8026, relative_absolute_error: 0.3464, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.245, root_relative_squared_error: 0.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.7914, kappa: 0.7257, kb_relative_information_score: 0.698, mean_absolute_error: 0.1454, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7898, predictive_accuracy: 0.7943, prior_entropy: 1.9991, recall: 0.7943, relative_absolute_error: 0.3879, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.261, root_relative_squared_error: 0.603,

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