OpenML
Supervised Classification on madelon

Supervised Classification on madelon

Task 9976 Supervised Classification madelon 54819 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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54819 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.828, kappa: 0.6562, kb_relative_information_score: 1050.6031, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8283, predictive_accuracy: 0.8281, prior_entropy: 1, recall: 0.8281, relative_absolute_error: 0.6404, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, f_measure: 0.8108, kappa: 0.6215, kb_relative_information_score: 1410.1325, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8108, predictive_accuracy: 0.8108, prior_entropy: 1, recall: 0.8108, relative_absolute_error: 0.4757, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.7455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.7881, kappa: 0.5762, kb_relative_information_score: 1294.5775, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7881, predictive_accuracy: 0.7881, prior_entropy: 1, recall: 0.7881, relative_absolute_error: 0.5197, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.796, kappa: 0.5931, kb_relative_information_score: 737.1329, mean_absolute_error: 0.3798, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7999, predictive_accuracy: 0.7965, prior_entropy: 1, recall: 0.7965, relative_absolute_error: 0.7595, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.8338, kappa: 0.6677, kb_relative_information_score: 1313.2609, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8338, predictive_accuracy: 0.8338, prior_entropy: 1, recall: 0.8338, relative_absolute_error: 0.5295, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.6973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.8538, kappa: 0.7077, kb_relative_information_score: 1070.6484, mean_absolute_error: 0.3191, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.854, predictive_accuracy: 0.8538, prior_entropy: 1, recall: 0.8538, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.7208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.8469, kappa: 0.6938, kb_relative_information_score: 1283.5896, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.847, predictive_accuracy: 0.8469, prior_entropy: 1, recall: 0.8469, relative_absolute_error: 0.549, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8596, kappa: 0.7192, kb_relative_information_score: 1190.635, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8596, predictive_accuracy: 0.8596, prior_entropy: 1, recall: 0.8596, relative_absolute_error: 0.5901, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3466, root_relative_squared_error: 0.6932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.8273, kappa: 0.6546, kb_relative_information_score: 1059.129, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8277, predictive_accuracy: 0.8273, prior_entropy: 1, recall: 0.8273, relative_absolute_error: 0.638, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.8369, kappa: 0.6738, kb_relative_information_score: 1390.4454, mean_absolute_error: 0.2487, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.837, predictive_accuracy: 0.8369, prior_entropy: 1, recall: 0.8369, relative_absolute_error: 0.4974, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3423, root_relative_squared_error: 0.6846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.8327, kappa: 0.6654, kb_relative_information_score: 1077.452, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8327, predictive_accuracy: 0.8327, prior_entropy: 1, recall: 0.8327, relative_absolute_error: 0.6303, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.7351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.7661, kappa: 0.5323, kb_relative_information_score: 1282.1131, mean_absolute_error: 0.2585, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7662, predictive_accuracy: 0.7662, prior_entropy: 1, recall: 0.7662, relative_absolute_error: 0.517, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.8256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.7902, kappa: 0.5815, kb_relative_information_score: 694.2945, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7942, predictive_accuracy: 0.7908, prior_entropy: 1, recall: 0.7908, relative_absolute_error: 0.776, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4111, root_relative_squared_error: 0.8221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7399, f_measure: 0.6672, kappa: 0.3346, kb_relative_information_score: 240.6901, mean_absolute_error: 0.4641, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6675, predictive_accuracy: 0.6673, prior_entropy: 1, recall: 0.6673, relative_absolute_error: 0.9281, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4704, root_relative_squared_error: 0.9408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8207, kappa: 0.6415, kb_relative_information_score: 826.5281, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8214, predictive_accuracy: 0.8208, prior_entropy: 1, recall: 0.8208, relative_absolute_error: 0.73, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3921, root_relative_squared_error: 0.7842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.8519, kappa: 0.7038, kb_relative_information_score: 1112.8538, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.852, predictive_accuracy: 0.8519, prior_entropy: 1, recall: 0.8519, relative_absolute_error: 0.6212, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.356, root_relative_squared_error: 0.7121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.8465, kappa: 0.6931, kb_relative_information_score: 1020.7748, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8469, predictive_accuracy: 0.8465, prior_entropy: 1, recall: 0.8465, relative_absolute_error: 0.6569, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.7352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.8334, kappa: 0.6669, kb_relative_information_score: 1041.9224, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8336, predictive_accuracy: 0.8335, prior_entropy: 1, recall: 0.8335, relative_absolute_error: 0.645, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.7397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.8242, kappa: 0.6485, kb_relative_information_score: 1020.8729, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8244, predictive_accuracy: 0.8242, prior_entropy: 1, recall: 0.8242, relative_absolute_error: 0.6515, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8558, kappa: 0.7115, kb_relative_information_score: 1418.4853, mean_absolute_error: 0.2451, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8558, predictive_accuracy: 0.8558, prior_entropy: 1, recall: 0.8558, relative_absolute_error: 0.4902, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.332, root_relative_squared_error: 0.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.8315, kappa: 0.6631, kb_relative_information_score: 1064.1763, mean_absolute_error: 0.3183, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8317, predictive_accuracy: 0.8315, prior_entropy: 1, recall: 0.8315, relative_absolute_error: 0.6366, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.7353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.8596, kappa: 0.7192, kb_relative_information_score: 1336.0587, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8596, predictive_accuracy: 0.8596, prior_entropy: 1, recall: 0.8596, relative_absolute_error: 0.5275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.6696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.7562, kappa: 0.5138, kb_relative_information_score: 515.7076, mean_absolute_error: 0.4191, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7602, predictive_accuracy: 0.7569, prior_entropy: 1, recall: 0.7569, relative_absolute_error: 0.8382, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8357, kappa: 0.6715, kb_relative_information_score: 1099.4673, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8361, predictive_accuracy: 0.8358, prior_entropy: 1, recall: 0.8358, relative_absolute_error: 0.6233, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.7271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.8385, kappa: 0.6769, kb_relative_information_score: 1382.5619, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8385, predictive_accuracy: 0.8385, prior_entropy: 1, recall: 0.8385, relative_absolute_error: 0.5002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.6877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.7844, kappa: 0.57, kb_relative_information_score: 669.3082, mean_absolute_error: 0.3919, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7883, predictive_accuracy: 0.785, prior_entropy: 1, recall: 0.785, relative_absolute_error: 0.7839, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.415, root_relative_squared_error: 0.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.8365, kappa: 0.6731, kb_relative_information_score: 1073.4045, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8366, predictive_accuracy: 0.8365, prior_entropy: 1, recall: 0.8365, relative_absolute_error: 0.633, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.7345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.825, kappa: 0.65, kb_relative_information_score: 1341.4293, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.825, predictive_accuracy: 0.825, prior_entropy: 1, recall: 0.825, relative_absolute_error: 0.514, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.8531, kappa: 0.7062, kb_relative_information_score: 1150.9214, mean_absolute_error: 0.3029, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8531, predictive_accuracy: 0.8531, prior_entropy: 1, recall: 0.8531, relative_absolute_error: 0.6057, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3518, root_relative_squared_error: 0.7037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 1069.812, mean_absolute_error: 0.3182, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8401, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.6363, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8411, kappa: 0.6823, kb_relative_information_score: 1014.3335, mean_absolute_error: 0.3293, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8415, predictive_accuracy: 0.8412, prior_entropy: 1, recall: 0.8412, relative_absolute_error: 0.6587, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.8627, kappa: 0.7254, kb_relative_information_score: 1282.7919, mean_absolute_error: 0.2763, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8628, predictive_accuracy: 0.8627, prior_entropy: 1, recall: 0.8627, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.6723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.8381, kappa: 0.6762, kb_relative_information_score: 1405.733, mean_absolute_error: 0.2454, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8381, predictive_accuracy: 0.8381, prior_entropy: 1, recall: 0.8381, relative_absolute_error: 0.4908, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.6867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.8431, kappa: 0.6862, kb_relative_information_score: 1051.7166, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8432, predictive_accuracy: 0.8431, prior_entropy: 1, recall: 0.8431, relative_absolute_error: 0.6437, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.7334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.8604, kappa: 0.7208, kb_relative_information_score: 1123.0505, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8604, predictive_accuracy: 0.8604, prior_entropy: 1, recall: 0.8604, relative_absolute_error: 0.6183, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.7068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8554, kappa: 0.7108, kb_relative_information_score: 1265.0112, mean_absolute_error: 0.2788, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8554, predictive_accuracy: 0.8554, prior_entropy: 1, recall: 0.8554, relative_absolute_error: 0.5577, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.6822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8623, kappa: 0.7246, kb_relative_information_score: 1166.6975, mean_absolute_error: 0.3004, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8624, predictive_accuracy: 0.8623, prior_entropy: 1, recall: 0.8623, relative_absolute_error: 0.6008, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.349, root_relative_squared_error: 0.6981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8146, kappa: 0.6292, kb_relative_information_score: 1338.9556, mean_absolute_error: 0.2553, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8146, predictive_accuracy: 0.8146, prior_entropy: 1, recall: 0.8146, relative_absolute_error: 0.5105, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 1052.77, mean_absolute_error: 0.321, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8401, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.6419, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.7344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.8546, kappa: 0.7092, kb_relative_information_score: 1345.7587, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8546, predictive_accuracy: 0.8546, prior_entropy: 1, recall: 0.8546, relative_absolute_error: 0.5222, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.6709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.8519, kappa: 0.7038, kb_relative_information_score: 1085.714, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8521, predictive_accuracy: 0.8519, prior_entropy: 1, recall: 0.8519, relative_absolute_error: 0.6311, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.7215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.8604, kappa: 0.7208, kb_relative_information_score: 1339.1008, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8604, predictive_accuracy: 0.8604, prior_entropy: 1, recall: 0.8604, relative_absolute_error: 0.5261, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.6689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.8323, kappa: 0.6646, kb_relative_information_score: 1375.792, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8323, predictive_accuracy: 0.8323, prior_entropy: 1, recall: 0.8323, relative_absolute_error: 0.5008, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.6989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8811, f_measure: 0.8008, kappa: 0.6023, kb_relative_information_score: 739.6324, mean_absolute_error: 0.3797, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8031, predictive_accuracy: 0.8012, prior_entropy: 1, recall: 0.8012, relative_absolute_error: 0.7594, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.8342, kappa: 0.6685, kb_relative_information_score: 1086.2922, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8345, predictive_accuracy: 0.8342, prior_entropy: 1, recall: 0.8342, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.8388, kappa: 0.6777, kb_relative_information_score: 1099.635, mean_absolute_error: 0.3113, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8389, predictive_accuracy: 0.8388, prior_entropy: 1, recall: 0.8388, relative_absolute_error: 0.6226, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.7269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.8178, kappa: 0.6362, kb_relative_information_score: 833.706, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8197, predictive_accuracy: 0.8181, prior_entropy: 1, recall: 0.8181, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.7863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.8531, kappa: 0.7062, kb_relative_information_score: 1359.5829, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8531, predictive_accuracy: 0.8531, prior_entropy: 1, recall: 0.8531, relative_absolute_error: 0.5162, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3345, root_relative_squared_error: 0.669,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.8038, kappa: 0.6077, kb_relative_information_score: 1388.4832, mean_absolute_error: 0.2422, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8039, predictive_accuracy: 0.8038, prior_entropy: 1, recall: 0.8038, relative_absolute_error: 0.4843, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.7532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.8404, kappa: 0.6808, kb_relative_information_score: 1081.5977, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8406, predictive_accuracy: 0.8404, prior_entropy: 1, recall: 0.8404, relative_absolute_error: 0.6313, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.7962, kappa: 0.5923, kb_relative_information_score: 1393.9007, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7962, predictive_accuracy: 0.7962, prior_entropy: 1, recall: 0.7962, relative_absolute_error: 0.4791, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.386, root_relative_squared_error: 0.7719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.8396, kappa: 0.6792, kb_relative_information_score: 1092.5821, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8398, predictive_accuracy: 0.8396, prior_entropy: 1, recall: 0.8396, relative_absolute_error: 0.6247, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.7297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.8488, kappa: 0.6977, kb_relative_information_score: 1091.013, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8491, predictive_accuracy: 0.8488, prior_entropy: 1, recall: 0.8488, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8627, kappa: 0.7254, kb_relative_information_score: 1190.8408, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8628, predictive_accuracy: 0.8627, prior_entropy: 1, recall: 0.8627, relative_absolute_error: 0.5902, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3466, root_relative_squared_error: 0.6932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8604, kappa: 0.7208, kb_relative_information_score: 1136.3753, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8604, predictive_accuracy: 0.8604, prior_entropy: 1, recall: 0.8604, relative_absolute_error: 0.6124, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.7049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.8654, kappa: 0.7308, kb_relative_information_score: 1337.0273, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8654, predictive_accuracy: 0.8654, prior_entropy: 1, recall: 0.8654, relative_absolute_error: 0.53, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.6611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7858, f_measure: 0.7033, kappa: 0.4077, kb_relative_information_score: 353.9756, mean_absolute_error: 0.4458, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7053, predictive_accuracy: 0.7038, prior_entropy: 1, recall: 0.7038, relative_absolute_error: 0.8917, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.9114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.8311, kappa: 0.6623, kb_relative_information_score: 1054.2245, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8313, predictive_accuracy: 0.8312, prior_entropy: 1, recall: 0.8312, relative_absolute_error: 0.6398, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.8561, kappa: 0.7123, kb_relative_information_score: 1088.0393, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8563, predictive_accuracy: 0.8562, prior_entropy: 1, recall: 0.8562, relative_absolute_error: 0.6323, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3574, root_relative_squared_error: 0.7148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.8469, kappa: 0.6938, kb_relative_information_score: 1339.2372, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.847, predictive_accuracy: 0.8469, prior_entropy: 1, recall: 0.8469, relative_absolute_error: 0.5227, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.6785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.8361, kappa: 0.6723, kb_relative_information_score: 1408.0649, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8362, predictive_accuracy: 0.8362, prior_entropy: 1, recall: 0.8362, relative_absolute_error: 0.4892, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.6871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.8465, kappa: 0.6931, kb_relative_information_score: 1421.2481, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8466, predictive_accuracy: 0.8465, prior_entropy: 1, recall: 0.8465, relative_absolute_error: 0.4864, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.6729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.8353, kappa: 0.6708, kb_relative_information_score: 907.8809, mean_absolute_error: 0.3489, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8358, predictive_accuracy: 0.8354, prior_entropy: 1, recall: 0.8354, relative_absolute_error: 0.6978, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3837, root_relative_squared_error: 0.7674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8342, kappa: 0.6685, kb_relative_information_score: 1055.6405, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8344, predictive_accuracy: 0.8342, prior_entropy: 1, recall: 0.8342, relative_absolute_error: 0.6409, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.7349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.8077, kappa: 0.6154, kb_relative_information_score: 1342.1208, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8077, predictive_accuracy: 0.8077, prior_entropy: 1, recall: 0.8077, relative_absolute_error: 0.5055, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.7431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.8362, kappa: 0.6723, kb_relative_information_score: 1398.5987, mean_absolute_error: 0.2464, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8362, predictive_accuracy: 0.8362, prior_entropy: 1, recall: 0.8362, relative_absolute_error: 0.4928, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.6884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.8307, kappa: 0.6615, kb_relative_information_score: 1043.2401, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8311, predictive_accuracy: 0.8308, prior_entropy: 1, recall: 0.8308, relative_absolute_error: 0.644, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.372, root_relative_squared_error: 0.7441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.8284, kappa: 0.6569, kb_relative_information_score: 1080.6867, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8288, predictive_accuracy: 0.8285, prior_entropy: 1, recall: 0.8285, relative_absolute_error: 0.6292, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.7375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.8365, kappa: 0.6731, kb_relative_information_score: 1055.5546, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8368, predictive_accuracy: 0.8365, prior_entropy: 1, recall: 0.8365, relative_absolute_error: 0.6391, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.37, root_relative_squared_error: 0.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.8446, kappa: 0.6892, kb_relative_information_score: 1074.622, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.845, predictive_accuracy: 0.8446, prior_entropy: 1, recall: 0.8446, relative_absolute_error: 0.6342, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.7282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, f_measure: 0.7288, kappa: 0.4585, kb_relative_information_score: 414.3115, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7308, predictive_accuracy: 0.7292, prior_entropy: 1, recall: 0.7292, relative_absolute_error: 0.872, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.8958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.81, kappa: 0.62, kb_relative_information_score: 1323.3095, mean_absolute_error: 0.2575, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.81, predictive_accuracy: 0.81, prior_entropy: 1, recall: 0.81, relative_absolute_error: 0.5149, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.7344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.7531, kappa: 0.5077, kb_relative_information_score: 528.3241, mean_absolute_error: 0.4165, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7569, predictive_accuracy: 0.7538, prior_entropy: 1, recall: 0.7538, relative_absolute_error: 0.833, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.8663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.8296, kappa: 0.6592, kb_relative_information_score: 1047.1049, mean_absolute_error: 0.3209, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8298, predictive_accuracy: 0.8296, prior_entropy: 1, recall: 0.8296, relative_absolute_error: 0.6418, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8357, kappa: 0.6715, kb_relative_information_score: 1048.0206, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8361, predictive_accuracy: 0.8358, prior_entropy: 1, recall: 0.8358, relative_absolute_error: 0.6434, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.7374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.8311, kappa: 0.6623, kb_relative_information_score: 1076.0738, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8314, predictive_accuracy: 0.8312, prior_entropy: 1, recall: 0.8312, relative_absolute_error: 0.6319, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.7348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, f_measure: 0.738, kappa: 0.4777, kb_relative_information_score: 408.4267, mean_absolute_error: 0.4373, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7419, predictive_accuracy: 0.7388, prior_entropy: 1, recall: 0.7388, relative_absolute_error: 0.8747, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4478, root_relative_squared_error: 0.8957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.872, f_measure: 0.7915, kappa: 0.5831, kb_relative_information_score: 1382.6788, mean_absolute_error: 0.2412, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7915, predictive_accuracy: 0.7915, prior_entropy: 1, recall: 0.7915, relative_absolute_error: 0.4823, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.7803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8565, kappa: 0.7131, kb_relative_information_score: 1211.1739, mean_absolute_error: 0.2902, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8566, predictive_accuracy: 0.8565, prior_entropy: 1, recall: 0.8565, relative_absolute_error: 0.5804, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.6916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.8561, kappa: 0.7123, kb_relative_information_score: 1273.1307, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8563, predictive_accuracy: 0.8562, prior_entropy: 1, recall: 0.8562, relative_absolute_error: 0.5551, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3384, root_relative_squared_error: 0.6769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.8104, kappa: 0.6208, kb_relative_information_score: 1326.2022, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8104, predictive_accuracy: 0.8104, prior_entropy: 1, recall: 0.8104, relative_absolute_error: 0.5137, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, f_measure: 0.6752, kappa: 0.3515, kb_relative_information_score: 231.2447, mean_absolute_error: 0.4657, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.677, predictive_accuracy: 0.6758, prior_entropy: 1, recall: 0.6758, relative_absolute_error: 0.9315, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.471, root_relative_squared_error: 0.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.8265, kappa: 0.6531, kb_relative_information_score: 1050.1819, mean_absolute_error: 0.3201, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8267, predictive_accuracy: 0.8265, prior_entropy: 1, recall: 0.8265, relative_absolute_error: 0.6402, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.7457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.7852, kappa: 0.5715, kb_relative_information_score: 630.1845, mean_absolute_error: 0.3995, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7887, predictive_accuracy: 0.7858, prior_entropy: 1, recall: 0.7858, relative_absolute_error: 0.7991, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.8381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.805, kappa: 0.6108, kb_relative_information_score: 719.4761, mean_absolute_error: 0.3841, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8075, predictive_accuracy: 0.8054, prior_entropy: 1, recall: 0.8054, relative_absolute_error: 0.7683, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8131,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.8592, kappa: 0.7185, kb_relative_information_score: 1379.7471, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8594, predictive_accuracy: 0.8592, prior_entropy: 1, recall: 0.8592, relative_absolute_error: 0.5093, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3314, root_relative_squared_error: 0.6627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.835, kappa: 0.67, kb_relative_information_score: 1042.543, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8352, predictive_accuracy: 0.835, prior_entropy: 1, recall: 0.835, relative_absolute_error: 0.6463, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.7934, kappa: 0.5877, kb_relative_information_score: 734.9726, mean_absolute_error: 0.3803, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7962, predictive_accuracy: 0.7938, prior_entropy: 1, recall: 0.7938, relative_absolute_error: 0.7606, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.8254, kappa: 0.6508, kb_relative_information_score: 1386.8859, mean_absolute_error: 0.246, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8254, predictive_accuracy: 0.8254, prior_entropy: 1, recall: 0.8254, relative_absolute_error: 0.492, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.7207, kappa: 0.4438, kb_relative_information_score: 381.1265, mean_absolute_error: 0.4415, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.726, predictive_accuracy: 0.7219, prior_entropy: 1, recall: 0.7219, relative_absolute_error: 0.883, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.638, f_measure: 0.6137, kappa: 0.2285, kb_relative_information_score: 182.8956, mean_absolute_error: 0.4726, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6149, predictive_accuracy: 0.6142, prior_entropy: 1, recall: 0.6142, relative_absolute_error: 0.9452, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4855, root_relative_squared_error: 0.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.8492, kappa: 0.6985, kb_relative_information_score: 1076.3232, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8495, predictive_accuracy: 0.8492, prior_entropy: 1, recall: 0.8492, relative_absolute_error: 0.634, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.7264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.8284, kappa: 0.6569, kb_relative_information_score: 1061.1864, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8287, predictive_accuracy: 0.8285, prior_entropy: 1, recall: 0.8285, relative_absolute_error: 0.6376, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.7366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.8527, kappa: 0.7054, kb_relative_information_score: 1051.1369, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8529, predictive_accuracy: 0.8527, prior_entropy: 1, recall: 0.8527, relative_absolute_error: 0.6464, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.7247,

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

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From your own software

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

OpenML APIs