Task
Supervised Classification on kc2

Supervised Classification on kc2

Task 3913 Supervised Classification kc2 167521 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_98 study_99 under100k under1m
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167521 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7641, f_measure: 0.8056, kappa: 0.3856, kb_relative_information_score: 118.4703, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8014, predictive_accuracy: 0.8123, prior_entropy: 0.734, recall: 0.8123, relative_absolute_error: 0.6773, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.9353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.7971, kappa: 0.3668, kb_relative_information_score: 130.7411, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7941, predictive_accuracy: 0.8008, prior_entropy: 0.734, recall: 0.8008, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.9618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.8183, kappa: 0.4186, kb_relative_information_score: 137.0597, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8145, predictive_accuracy: 0.8276, prior_entropy: 0.734, recall: 0.8276, relative_absolute_error: 0.6569, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.8815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.774, f_measure: 0.8077, kappa: 0.3839, kb_relative_information_score: 130.6074, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8032, predictive_accuracy: 0.818, prior_entropy: 0.734, recall: 0.818, relative_absolute_error: 0.6586, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.9029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7886, f_measure: 0.8119, kappa: 0.4112, kb_relative_information_score: 128.3741, mean_absolute_error: 0.2161, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8088, predictive_accuracy: 0.8161, prior_entropy: 0.734, recall: 0.8161, relative_absolute_error: 0.6616, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.9144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7765, f_measure: 0.8064, kappa: 0.3851, kb_relative_information_score: 130.2138, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8018, predictive_accuracy: 0.8142, prior_entropy: 0.734, recall: 0.8142, relative_absolute_error: 0.6614, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7798, f_measure: 0.808, kappa: 0.399, kb_relative_information_score: 130.586, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8048, predictive_accuracy: 0.8123, prior_entropy: 0.734, recall: 0.8123, relative_absolute_error: 0.6563, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3721, root_relative_squared_error: 0.9217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6754, f_measure: 0.7884, kappa: 0.3376, kb_relative_information_score: 77.4852, mean_absolute_error: 0.2398, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7847, predictive_accuracy: 0.7931, prior_entropy: 0.734, recall: 0.7931, relative_absolute_error: 0.7341, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4209, root_relative_squared_error: 1.0426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6143, f_measure: 0.7854, kappa: 0.3417, kb_relative_information_score: 81.7936, mean_absolute_error: 0.2387, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7854, predictive_accuracy: 0.7854, prior_entropy: 0.734, recall: 0.7854, relative_absolute_error: 0.7309, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4634, root_relative_squared_error: 1.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6568, f_measure: 0.7867, kappa: 0.3559, kb_relative_information_score: 93.5868, mean_absolute_error: 0.233, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7904, predictive_accuracy: 0.7835, prior_entropy: 0.734, recall: 0.7835, relative_absolute_error: 0.7134, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.45, root_relative_squared_error: 1.1146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7809, f_measure: 0.8213, kappa: 0.4226, kb_relative_information_score: 134.8755, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8187, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.6605, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.356, root_relative_squared_error: 0.8818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7652, f_measure: 0.7935, kappa: 0.3421, kb_relative_information_score: 106.7187, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.788, predictive_accuracy: 0.8027, prior_entropy: 0.734, recall: 0.8027, relative_absolute_error: 0.6965, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.9401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, f_measure: 0.8206, kappa: 0.4227, kb_relative_information_score: 144.8583, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8174, predictive_accuracy: 0.8314, prior_entropy: 0.734, recall: 0.8314, relative_absolute_error: 0.6484, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7675, f_measure: 0.8199, kappa: 0.4228, kb_relative_information_score: 136.0327, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8162, predictive_accuracy: 0.8295, prior_entropy: 0.734, recall: 0.8295, relative_absolute_error: 0.661, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.36, root_relative_squared_error: 0.8919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.7908, kappa: 0.3461, kb_relative_information_score: 117.6545, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7874, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.6776, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4101, root_relative_squared_error: 1.0158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.8199, kappa: 0.4228, kb_relative_information_score: 133.6295, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8162, predictive_accuracy: 0.8295, prior_entropy: 0.734, recall: 0.8295, relative_absolute_error: 0.6624, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.8832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, f_measure: 0.8199, kappa: 0.4228, kb_relative_information_score: 138.2136, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8162, predictive_accuracy: 0.8295, prior_entropy: 0.734, recall: 0.8295, relative_absolute_error: 0.6549, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.8862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6505, f_measure: 0.7858, kappa: 0.3229, kb_relative_information_score: 116.1741, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7807, predictive_accuracy: 0.7931, prior_entropy: 0.734, recall: 0.7931, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4353, root_relative_squared_error: 1.0784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7614, f_measure: 0.812, kappa: 0.4066, kb_relative_information_score: 136.2905, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8081, predictive_accuracy: 0.818, prior_entropy: 0.734, recall: 0.818, relative_absolute_error: 0.6559, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.9334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7575, f_measure: 0.8267, kappa: 0.46, kb_relative_information_score: 155.8823, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8245, predictive_accuracy: 0.8295, prior_entropy: 0.734, recall: 0.8295, relative_absolute_error: 0.6319, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.378, root_relative_squared_error: 0.9363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7687, f_measure: 0.8009, kappa: 0.3839, kb_relative_information_score: 123.5954, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7993, predictive_accuracy: 0.8027, prior_entropy: 0.734, recall: 0.8027, relative_absolute_error: 0.6746, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.9564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.8206, kappa: 0.4227, kb_relative_information_score: 142.1847, mean_absolute_error: 0.2136, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8174, predictive_accuracy: 0.8314, prior_entropy: 0.734, recall: 0.8314, relative_absolute_error: 0.6539, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3513, root_relative_squared_error: 0.8702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7823, f_measure: 0.8046, kappa: 0.3757, kb_relative_information_score: 130.2518, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7998, predictive_accuracy: 0.8142, prior_entropy: 0.734, recall: 0.8142, relative_absolute_error: 0.6592, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7723, f_measure: 0.8096, kappa: 0.4029, kb_relative_information_score: 133.2034, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8062, predictive_accuracy: 0.8142, prior_entropy: 0.734, recall: 0.8142, relative_absolute_error: 0.6565, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.9338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6686, f_measure: 0.7815, kappa: 0.318, kb_relative_information_score: 118.9656, mean_absolute_error: 0.2216, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7781, predictive_accuracy: 0.7854, prior_entropy: 0.734, recall: 0.7854, relative_absolute_error: 0.6785, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4167, root_relative_squared_error: 1.0322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.8206, kappa: 0.4227, kb_relative_information_score: 144.938, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8174, predictive_accuracy: 0.8314, prior_entropy: 0.734, recall: 0.8314, relative_absolute_error: 0.6481, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3501, root_relative_squared_error: 0.8673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.808, kappa: 0.3941, kb_relative_information_score: 129.8323, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.804, predictive_accuracy: 0.8142, prior_entropy: 0.734, recall: 0.8142, relative_absolute_error: 0.6558, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.9029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7851, f_measure: 0.8213, kappa: 0.4226, kb_relative_information_score: 133.6451, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8187, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.6626, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.8806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7415, f_measure: 0.7867, kappa: 0.3279, kb_relative_information_score: 109.8585, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.782, predictive_accuracy: 0.7931, prior_entropy: 0.734, recall: 0.7931, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.391, root_relative_squared_error: 0.9686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.8102, kappa: 0.3927, kb_relative_information_score: 121.6074, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8058, predictive_accuracy: 0.8199, prior_entropy: 0.734, recall: 0.8199, relative_absolute_error: 0.677, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.9087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.8183, kappa: 0.4186, kb_relative_information_score: 134.1864, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8145, predictive_accuracy: 0.8276, prior_entropy: 0.734, recall: 0.8276, relative_absolute_error: 0.66, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3586, root_relative_squared_error: 0.8883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7849, f_measure: 0.8096, kappa: 0.3982, kb_relative_information_score: 126.8695, mean_absolute_error: 0.2181, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8055, predictive_accuracy: 0.8161, prior_entropy: 0.734, recall: 0.8161, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.9129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.8213, kappa: 0.4226, kb_relative_information_score: 136.4604, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8187, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.6538, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.8805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.8096, kappa: 0.4029, kb_relative_information_score: 127.7898, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8062, predictive_accuracy: 0.8142, prior_entropy: 0.734, recall: 0.8142, relative_absolute_error: 0.6609, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.9196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7845, f_measure: 0.8109, kappa: 0.3922, kb_relative_information_score: 131.2366, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8067, predictive_accuracy: 0.8218, prior_entropy: 0.734, recall: 0.8218, relative_absolute_error: 0.6558, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7768, f_measure: 0.8002, kappa: 0.3571, kb_relative_information_score: 126.7498, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7951, predictive_accuracy: 0.8123, prior_entropy: 0.734, recall: 0.8123, relative_absolute_error: 0.67, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.9152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7619, f_measure: 0.7919, kappa: 0.3382, kb_relative_information_score: 104.612, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7865, predictive_accuracy: 0.8008, prior_entropy: 0.734, recall: 0.8008, relative_absolute_error: 0.6977, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3824, root_relative_squared_error: 0.9472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, f_measure: 0.8262, kappa: 0.4524, kb_relative_information_score: 150.8508, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.823, predictive_accuracy: 0.8314, prior_entropy: 0.734, recall: 0.8314, relative_absolute_error: 0.6376, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.9213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.832, kappa: 0.4617, kb_relative_information_score: 145.4302, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8293, predictive_accuracy: 0.841, prior_entropy: 0.734, recall: 0.841, relative_absolute_error: 0.6424, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.8653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8031, f_measure: 0.8206, kappa: 0.4227, kb_relative_information_score: 146.6376, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8174, predictive_accuracy: 0.8314, prior_entropy: 0.734, recall: 0.8314, relative_absolute_error: 0.6457, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.8664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7871, f_measure: 0.8183, kappa: 0.4186, kb_relative_information_score: 133.5799, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8145, predictive_accuracy: 0.8276, prior_entropy: 0.734, recall: 0.8276, relative_absolute_error: 0.6592, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.8901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7804, f_measure: 0.8046, kappa: 0.3757, kb_relative_information_score: 128.2238, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7998, predictive_accuracy: 0.8142, prior_entropy: 0.734, recall: 0.8142, relative_absolute_error: 0.6621, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.9053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.8056, kappa: 0.3856, kb_relative_information_score: 125.2673, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8014, predictive_accuracy: 0.8123, prior_entropy: 0.734, recall: 0.8123, relative_absolute_error: 0.6699, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.367, root_relative_squared_error: 0.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7043, f_measure: 0.7963, kappa: 0.3675, kb_relative_information_score: 115.4829, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7941, predictive_accuracy: 0.7989, prior_entropy: 0.734, recall: 0.7989, relative_absolute_error: 0.6841, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.405, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.8183, kappa: 0.4186, kb_relative_information_score: 135.9274, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8145, predictive_accuracy: 0.8276, prior_entropy: 0.734, recall: 0.8276, relative_absolute_error: 0.6567, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.8833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, f_measure: 0.8166, kappa: 0.4276, kb_relative_information_score: 156.0576, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.814, predictive_accuracy: 0.8199, prior_entropy: 0.734, recall: 0.8199, relative_absolute_error: 0.6192, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7044, f_measure: 0.8072, kappa: 0.3946, kb_relative_information_score: 132.9098, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8036, predictive_accuracy: 0.8123, prior_entropy: 0.734, recall: 0.8123, relative_absolute_error: 0.6595, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.9896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7748, f_measure: 0.8215, kappa: 0.4271, kb_relative_information_score: 138.465, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8181, predictive_accuracy: 0.8314, prior_entropy: 0.734, recall: 0.8314, relative_absolute_error: 0.6567, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3582, root_relative_squared_error: 0.8873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8014, f_measure: 0.8183, kappa: 0.4275, kb_relative_information_score: 142.2412, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8148, predictive_accuracy: 0.8238, prior_entropy: 0.734, recall: 0.8238, relative_absolute_error: 0.6439, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.8899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.8213, kappa: 0.4226, kb_relative_information_score: 133.566, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8187, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.6597, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.8783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.7939, kappa: 0.3537, kb_relative_information_score: 103.3171, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7901, predictive_accuracy: 0.7989, prior_entropy: 0.734, recall: 0.7989, relative_absolute_error: 0.6935, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.9846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.8206, kappa: 0.4227, kb_relative_information_score: 142.036, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8174, predictive_accuracy: 0.8314, prior_entropy: 0.734, recall: 0.8314, relative_absolute_error: 0.652, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.8698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.7913, kappa: 0.3393, kb_relative_information_score: 112.6132, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7863, predictive_accuracy: 0.7989, prior_entropy: 0.734, recall: 0.7989, relative_absolute_error: 0.6857, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3903, root_relative_squared_error: 0.9668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7724, f_measure: 0.8077, kappa: 0.3839, kb_relative_information_score: 126.7508, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8032, predictive_accuracy: 0.818, prior_entropy: 0.734, recall: 0.818, relative_absolute_error: 0.6626, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.9058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7746, f_measure: 0.8018, kappa: 0.3612, kb_relative_information_score: 127.0694, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7969, predictive_accuracy: 0.8142, prior_entropy: 0.734, recall: 0.8142, relative_absolute_error: 0.67, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.9144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6846, f_measure: 0.7937, kappa: 0.348, kb_relative_information_score: 95.0134, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.789, predictive_accuracy: 0.8008, prior_entropy: 0.734, recall: 0.8008, relative_absolute_error: 0.7099, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4056, root_relative_squared_error: 1.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6425, f_measure: 0.7801, kappa: 0.3205, kb_relative_information_score: 75.7515, mean_absolute_error: 0.2412, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7786, predictive_accuracy: 0.7816, prior_entropy: 0.734, recall: 0.7816, relative_absolute_error: 0.7384, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.448, root_relative_squared_error: 1.1097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7766, f_measure: 0.8111, kappa: 0.3973, kb_relative_information_score: 131.8918, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8067, predictive_accuracy: 0.8199, prior_entropy: 0.734, recall: 0.8199, relative_absolute_error: 0.6584, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.9022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, f_measure: 0.8088, kappa: 0.3937, kb_relative_information_score: 134.3345, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8045, predictive_accuracy: 0.8161, prior_entropy: 0.734, recall: 0.8161, relative_absolute_error: 0.6529, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.8956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, f_measure: 0.8102, kappa: 0.3927, kb_relative_information_score: 118.0835, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8058, predictive_accuracy: 0.8199, prior_entropy: 0.734, recall: 0.8199, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.9136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.595, f_measure: 0.7633, kappa: 0.2762, kb_relative_information_score: 54.9168, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7641, predictive_accuracy: 0.7625, prior_entropy: 0.734, recall: 0.7625, relative_absolute_error: 0.7706, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4606, root_relative_squared_error: 1.1409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6228, f_measure: 0.7831, kappa: 0.3335, kb_relative_information_score: 77.8695, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7828, predictive_accuracy: 0.7835, prior_entropy: 0.734, recall: 0.7835, relative_absolute_error: 0.7357, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4622, root_relative_squared_error: 1.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7695, f_measure: 0.8127, kappa: 0.4155, kb_relative_information_score: 150.2708, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.81, predictive_accuracy: 0.8161, prior_entropy: 0.734, recall: 0.8161, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.779, f_measure: 0.8215, kappa: 0.4271, kb_relative_information_score: 138.3672, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8181, predictive_accuracy: 0.8314, prior_entropy: 0.734, recall: 0.8314, relative_absolute_error: 0.6548, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.8881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, f_measure: 0.7978, kappa: 0.366, kb_relative_information_score: 130.4793, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7941, predictive_accuracy: 0.8027, prior_entropy: 0.734, recall: 0.8027, relative_absolute_error: 0.6654, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.9614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7768, f_measure: 0.8039, kappa: 0.3764, kb_relative_information_score: 126.3695, mean_absolute_error: 0.2161, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7992, predictive_accuracy: 0.8123, prior_entropy: 0.734, recall: 0.8123, relative_absolute_error: 0.6616, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.9055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7043, f_measure: 0.7963, kappa: 0.3675, kb_relative_information_score: 121.9319, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7941, predictive_accuracy: 0.7989, prior_entropy: 0.734, recall: 0.7989, relative_absolute_error: 0.6744, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.9888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7349, f_measure: 0.7977, kappa: 0.3606, kb_relative_information_score: 108.9805, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7931, predictive_accuracy: 0.8046, prior_entropy: 0.734, recall: 0.8046, relative_absolute_error: 0.6839, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.9943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.8024, kappa: 0.3724, kb_relative_information_score: 123.0812, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7976, predictive_accuracy: 0.8103, prior_entropy: 0.734, recall: 0.8103, relative_absolute_error: 0.6655, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.9131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.8213, kappa: 0.4226, kb_relative_information_score: 137.3776, mean_absolute_error: 0.2138, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8187, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3538, root_relative_squared_error: 0.8763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, f_measure: 0.7954, kappa: 0.3575, kb_relative_information_score: 103.7178, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7915, predictive_accuracy: 0.8008, prior_entropy: 0.734, recall: 0.8008, relative_absolute_error: 0.6972, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.9776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7704, f_measure: 0.8175, kappa: 0.4276, kb_relative_information_score: 153.6627, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8143, predictive_accuracy: 0.8218, prior_entropy: 0.734, recall: 0.8218, relative_absolute_error: 0.6312, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.9229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, f_measure: 0.8112, kappa: 0.4069, kb_relative_information_score: 138.3052, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8077, predictive_accuracy: 0.8161, prior_entropy: 0.734, recall: 0.8161, relative_absolute_error: 0.649, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.9291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.8215, kappa: 0.4271, kb_relative_information_score: 138.4683, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8181, predictive_accuracy: 0.8314, prior_entropy: 0.734, recall: 0.8314, relative_absolute_error: 0.6567, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.8849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.7907, kappa: 0.3404, kb_relative_information_score: 109.8571, mean_absolute_error: 0.2263, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7861, predictive_accuracy: 0.7969, prior_entropy: 0.734, recall: 0.7969, relative_absolute_error: 0.6929, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.9644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.819, kappa: 0.4317, kb_relative_information_score: 153.2188, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8158, predictive_accuracy: 0.8238, prior_entropy: 0.734, recall: 0.8238, relative_absolute_error: 0.6316, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.9285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6832, f_measure: 0.7961, kappa: 0.3567, kb_relative_information_score: 94.4215, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7916, predictive_accuracy: 0.8027, prior_entropy: 0.734, recall: 0.8027, relative_absolute_error: 0.7137, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4154, root_relative_squared_error: 1.0291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.8062, kappa: 0.3798, kb_relative_information_score: 133.0748, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8015, predictive_accuracy: 0.8161, prior_entropy: 0.734, recall: 0.8161, relative_absolute_error: 0.6548, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.8991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, f_measure: 0.8213, kappa: 0.4226, kb_relative_information_score: 134.8962, mean_absolute_error: 0.2149, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8187, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.6579, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.8783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7741, f_measure: 0.8033, kappa: 0.3653, kb_relative_information_score: 130.1233, mean_absolute_error: 0.2176, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7987, predictive_accuracy: 0.8161, prior_entropy: 0.734, recall: 0.8161, relative_absolute_error: 0.6662, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.9087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7365, f_measure: 0.819, kappa: 0.4317, kb_relative_information_score: 152.0063, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8158, predictive_accuracy: 0.8238, prior_entropy: 0.734, recall: 0.8238, relative_absolute_error: 0.6258, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.9374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.583, f_measure: 0.7629, kappa: 0.2625, kb_relative_information_score: 58.9759, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7598, predictive_accuracy: 0.7663, prior_entropy: 0.734, recall: 0.7663, relative_absolute_error: 0.7642, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4654, root_relative_squared_error: 1.1528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7686, f_measure: 0.8102, kappa: 0.3927, kb_relative_information_score: 116.7167, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8058, predictive_accuracy: 0.8199, prior_entropy: 0.734, recall: 0.8199, relative_absolute_error: 0.685, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.9155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7211, f_measure: 0.8205, kappa: 0.4398, kb_relative_information_score: 151.4371, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.818, predictive_accuracy: 0.8238, prior_entropy: 0.734, recall: 0.8238, relative_absolute_error: 0.6303, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.9791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7846, f_measure: 0.8102, kappa: 0.3927, kb_relative_information_score: 118.137, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8058, predictive_accuracy: 0.8199, prior_entropy: 0.734, recall: 0.8199, relative_absolute_error: 0.6809, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.9113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.797, kappa: 0.3614, kb_relative_information_score: 106.1341, mean_absolute_error: 0.2255, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7929, predictive_accuracy: 0.8027, prior_entropy: 0.734, recall: 0.8027, relative_absolute_error: 0.6904, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.396, root_relative_squared_error: 0.9811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.8199, kappa: 0.4228, kb_relative_information_score: 133.1648, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8162, predictive_accuracy: 0.8295, prior_entropy: 0.734, recall: 0.8295, relative_absolute_error: 0.6619, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.358, root_relative_squared_error: 0.8867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7815, f_measure: 0.8215, kappa: 0.4271, kb_relative_information_score: 139.6286, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8181, predictive_accuracy: 0.8314, prior_entropy: 0.734, recall: 0.8314, relative_absolute_error: 0.6533, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.8864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6576, f_measure: 0.7946, kappa: 0.3528, kb_relative_information_score: 123.9235, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7902, predictive_accuracy: 0.8008, prior_entropy: 0.734, recall: 0.8008, relative_absolute_error: 0.6631, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4281, root_relative_squared_error: 1.0606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.8213, kappa: 0.4226, kb_relative_information_score: 139.5488, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8187, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.6499, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3533, root_relative_squared_error: 0.8752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7897, f_measure: 0.8213, kappa: 0.4226, kb_relative_information_score: 136.6107, mean_absolute_error: 0.2137, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8187, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.6542, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3547, root_relative_squared_error: 0.8787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6978, f_measure: 0.7937, kappa: 0.348, kb_relative_information_score: 108.7304, mean_absolute_error: 0.2237, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.789, predictive_accuracy: 0.8008, prior_entropy: 0.734, recall: 0.8008, relative_absolute_error: 0.685, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.9833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.832, kappa: 0.4617, kb_relative_information_score: 144.7413, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8293, predictive_accuracy: 0.841, prior_entropy: 0.734, recall: 0.841, relative_absolute_error: 0.6454, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.8666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.8128, kappa: 0.411, kb_relative_information_score: 132.2258, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8092, predictive_accuracy: 0.818, prior_entropy: 0.734, recall: 0.818, relative_absolute_error: 0.6523, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.8969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7804, f_measure: 0.8027, kappa: 0.3661, kb_relative_information_score: 127.2243, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7978, predictive_accuracy: 0.8142, prior_entropy: 0.734, recall: 0.8142, relative_absolute_error: 0.6693, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.9125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.8002, kappa: 0.3744, kb_relative_information_score: 134.8801, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7968, predictive_accuracy: 0.8046, prior_entropy: 0.734, recall: 0.8046, relative_absolute_error: 0.6575, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.9702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, f_measure: 0.8046, kappa: 0.3757, kb_relative_information_score: 129.324, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7998, predictive_accuracy: 0.8142, prior_entropy: 0.734, recall: 0.8142, relative_absolute_error: 0.6609, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.9007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6342, f_measure: 0.7891, kappa: 0.3587, kb_relative_information_score: 78.3243, mean_absolute_error: 0.2401, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7911, predictive_accuracy: 0.7874, prior_entropy: 0.734, recall: 0.7874, relative_absolute_error: 0.7351, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4527, root_relative_squared_error: 1.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, f_measure: 0.8128, kappa: 0.411, kb_relative_information_score: 130.9625, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8092, predictive_accuracy: 0.818, prior_entropy: 0.734, recall: 0.818, relative_absolute_error: 0.656, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.9009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8019, f_measure: 0.8167, kappa: 0.4234, kb_relative_information_score: 142.0539, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8133, predictive_accuracy: 0.8218, prior_entropy: 0.734, recall: 0.8218, relative_absolute_error: 0.644, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3586, root_relative_squared_error: 0.8882,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

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

OpenML APIs