Task
Supervised Classification on lymph

Supervised Classification on lymph

Task 10 Supervised Classification lymph 904 runs submitted
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  • basic study_1 study_107 study_41 study_7 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, kappa: 0.5281, kb_relative_information_score: 70.5004, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.2677, number_of_instances: 148, predictive_accuracy: 0.7635, prior_entropy: 1.2818, recall: 0.7635, relative_absolute_error: 0.5603, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.8125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, kappa: 0.5865, kb_relative_information_score: 77.9417, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.2677, number_of_instances: 148, predictive_accuracy: 0.7905, prior_entropy: 1.2818, recall: 0.7905, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.8892, usercpu_time_millis: 0.08, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, kappa: 0.5281, kb_relative_information_score: 70.5004, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.2677, number_of_instances: 148, predictive_accuracy: 0.7635, prior_entropy: 1.2818, recall: 0.7635, relative_absolute_error: 0.5603, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.8125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, kappa: 0.6316, kb_relative_information_score: 77.8763, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.2677, number_of_instances: 148, predictive_accuracy: 0.8108, prior_entropy: 1.2818, recall: 0.8108, relative_absolute_error: 0.4896, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2541, root_relative_squared_error: 0.6981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7616, kappa: 0.5247, kb_relative_information_score: 73.1963, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.2677, number_of_instances: 148, predictive_accuracy: 0.75, prior_entropy: 1.2818, recall: 0.75, relative_absolute_error: 0.4669, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.9714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, kappa: 0.5281, kb_relative_information_score: 70.5004, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.2677, number_of_instances: 148, predictive_accuracy: 0.7635, prior_entropy: 1.2818, recall: 0.7635, relative_absolute_error: 0.5603, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.8125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, kappa: 0.5281, kb_relative_information_score: 70.5004, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.2677, number_of_instances: 148, predictive_accuracy: 0.7635, prior_entropy: 1.2818, recall: 0.7635, relative_absolute_error: 0.5603, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.8125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, kappa: 0.667, kb_relative_information_score: 82.2456, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.2677, number_of_instances: 148, predictive_accuracy: 0.8311, prior_entropy: 1.2818, recall: 0.8311, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.6821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, kappa: 0.6543, kb_relative_information_score: 83.4754, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.2677, number_of_instances: 148, predictive_accuracy: 0.8243, prior_entropy: 1.2818, recall: 0.8243, relative_absolute_error: 0.4669, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.6591,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, kappa: 0.6377, kb_relative_information_score: 80.8889, mean_absolute_error: 0.1307, mean_prior_absolute_error: 0.2677, number_of_instances: 148, predictive_accuracy: 0.8176, prior_entropy: 1.2818, recall: 0.8176, relative_absolute_error: 0.4883, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2493, root_relative_squared_error: 0.6849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, kappa: 0.6694, kb_relative_information_score: 83.5052, mean_absolute_error: 0.1257, mean_prior_absolute_error: 0.2677, number_of_instances: 148, predictive_accuracy: 0.8311, prior_entropy: 1.2818, recall: 0.8311, relative_absolute_error: 0.4694, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.6862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, kappa: 0.559, kb_relative_information_score: 84.1704, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.2677, number_of_instances: 148, predictive_accuracy: 0.7703, prior_entropy: 1.2818, recall: 0.7703, relative_absolute_error: 0.4076, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.271, root_relative_squared_error: 0.7447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, kappa: 0.5481, kb_relative_information_score: 47.3505, mean_absolute_error: 0.1862, mean_prior_absolute_error: 0.2677, number_of_instances: 148, predictive_accuracy: 0.7703, prior_entropy: 1.2818, recall: 0.7703, relative_absolute_error: 0.6956, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2825, root_relative_squared_error: 0.7762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, kappa: 0.5638, kb_relative_information_score: 68.0102, mean_absolute_error: 0.1445, mean_prior_absolute_error: 0.2677, number_of_instances: 148, predictive_accuracy: 0.777, prior_entropy: 1.2818, recall: 0.777, relative_absolute_error: 0.5396, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, kappa: 0.5278, kb_relative_information_score: 24.7139, mean_absolute_error: 0.2326, mean_prior_absolute_error: 0.2677, number_of_instances: 148, predictive_accuracy: 0.7703, prior_entropy: 1.2818, recall: 0.7703, relative_absolute_error: 0.8687, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.8871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, kappa: 0.6013, kb_relative_information_score: 52.4905, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.2677, number_of_instances: 148, predictive_accuracy: 0.7973, prior_entropy: 1.2818, recall: 0.7973, relative_absolute_error: 0.6573, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.7606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8192, f_measure: 0.7786, kappa: 0.5644, kb_relative_information_score: 57.6045, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8025, predictive_accuracy: 0.7568, prior_entropy: 1.2818, recall: 0.7568, relative_absolute_error: 0.6735, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3146, root_relative_squared_error: 0.8643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.7832, kappa: 0.5913, kb_relative_information_score: 70.2132, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7822, predictive_accuracy: 0.7905, prior_entropy: 1.2818, recall: 0.7905, relative_absolute_error: 0.5419, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.7595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.7736, kappa: 0.5795, kb_relative_information_score: 70.8086, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7732, predictive_accuracy: 0.777, prior_entropy: 1.2818, recall: 0.777, relative_absolute_error: 0.5311, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.309, root_relative_squared_error: 0.8489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.7678, kappa: 0.5558, kb_relative_information_score: 65.8577, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7803, predictive_accuracy: 0.7568, prior_entropy: 1.2818, recall: 0.7568, relative_absolute_error: 0.5575, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.8194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, f_measure: 0.7575, kappa: 0.5265, kb_relative_information_score: 68.7282, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.781, predictive_accuracy: 0.7365, prior_entropy: 1.2818, recall: 0.7365, relative_absolute_error: 0.5281, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.9041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.8033, kappa: 0.627, kb_relative_information_score: 81.635, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8059, predictive_accuracy: 0.8041, prior_entropy: 1.2818, recall: 0.8041, relative_absolute_error: 0.434, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2907, root_relative_squared_error: 0.7988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.8113, kappa: 0.6497, kb_relative_information_score: 97.5789, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8058, predictive_accuracy: 0.8176, prior_entropy: 1.2818, recall: 0.8176, relative_absolute_error: 0.32, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.7488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, f_measure: 0.8014, kappa: 0.6282, kb_relative_information_score: 86.5913, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7987, predictive_accuracy: 0.8041, prior_entropy: 1.2818, recall: 0.8041, relative_absolute_error: 0.3836, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.8178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8195, kappa: 0.659, kb_relative_information_score: 87.2299, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.822, predictive_accuracy: 0.8243, prior_entropy: 1.2818, recall: 0.8243, relative_absolute_error: 0.4123, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.6852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.7904, kappa: 0.5997, kb_relative_information_score: 81.6856, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7995, predictive_accuracy: 0.7905, prior_entropy: 1.2818, recall: 0.7905, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2817, root_relative_squared_error: 0.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.8191, kappa: 0.6538, kb_relative_information_score: 87.9035, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8243, predictive_accuracy: 0.8176, prior_entropy: 1.2818, recall: 0.8176, relative_absolute_error: 0.4004, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2775, root_relative_squared_error: 0.7624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.8681, kappa: 0.7526, kb_relative_information_score: 92.2878, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8676, predictive_accuracy: 0.8716, prior_entropy: 1.2818, recall: 0.8716, relative_absolute_error: 0.363, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.6219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.8329, kappa: 0.7055, kb_relative_information_score: 80.5882, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8186, predictive_accuracy: 0.8514, prior_entropy: 1.2818, recall: 0.8514, relative_absolute_error: 0.4989, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2523, root_relative_squared_error: 0.6933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8691, kappa: 0.7509, kb_relative_information_score: 14.9207, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8758, predictive_accuracy: 0.8716, prior_entropy: 1.2818, recall: 0.8716, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.9128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.8211, kappa: 0.6626, kb_relative_information_score: 80.2902, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8195, predictive_accuracy: 0.8243, prior_entropy: 1.2818, recall: 0.8243, relative_absolute_error: 0.4725, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.7208, kappa: 0.4798, kb_relative_information_score: 57.148, mean_absolute_error: 0.1784, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7102, predictive_accuracy: 0.7365, prior_entropy: 1.2818, recall: 0.7365, relative_absolute_error: 0.6662, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.7899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4668, f_measure: 0.3872, kb_relative_information_score: -0.2543, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.2995, predictive_accuracy: 0.5473, prior_entropy: 1.2818, recall: 0.5473, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3642, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9062, f_measure: 0.803, kappa: 0.6303, kb_relative_information_score: 78.3868, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8024, predictive_accuracy: 0.8108, prior_entropy: 1.2818, recall: 0.8108, relative_absolute_error: 0.5136, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.8393, kappa: 0.706, kb_relative_information_score: 85.7151, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8465, predictive_accuracy: 0.8514, prior_entropy: 1.2818, recall: 0.8514, relative_absolute_error: 0.4201, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.6713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.8026, kappa: 0.6277, kb_relative_information_score: 81.2184, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8066, predictive_accuracy: 0.8108, prior_entropy: 1.2818, recall: 0.8108, relative_absolute_error: 0.4862, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2575, root_relative_squared_error: 0.7075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.8435, kappa: 0.7085, kb_relative_information_score: 92.4336, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8453, predictive_accuracy: 0.8514, prior_entropy: 1.2818, recall: 0.8514, relative_absolute_error: 0.4038, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.6342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.7871, kappa: 0.602, kb_relative_information_score: 78.5021, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7956, predictive_accuracy: 0.7838, prior_entropy: 1.2818, recall: 0.7838, relative_absolute_error: 0.4635, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.8312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8234, kappa: 0.6649, kb_relative_information_score: 92.1213, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8254, predictive_accuracy: 0.8243, prior_entropy: 1.2818, recall: 0.8243, relative_absolute_error: 0.3786, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.268, root_relative_squared_error: 0.7363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.8513, kappa: 0.7175, kb_relative_information_score: 104.5925, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8523, predictive_accuracy: 0.8514, prior_entropy: 1.2818, recall: 0.8514, relative_absolute_error: 0.281, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.7237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.833, kappa: 0.6864, kb_relative_information_score: 15.3897, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8328, predictive_accuracy: 0.8378, prior_entropy: 1.2818, recall: 0.8378, relative_absolute_error: 0.9905, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.9201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.7871, kappa: 0.602, kb_relative_information_score: 78.5021, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7956, predictive_accuracy: 0.7838, prior_entropy: 1.2818, recall: 0.7838, relative_absolute_error: 0.4635, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.8312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8336, kappa: 0.6959, kb_relative_information_score: 79.9236, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.836, predictive_accuracy: 0.8446, prior_entropy: 1.2818, recall: 0.8446, relative_absolute_error: 0.5189, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2428, root_relative_squared_error: 0.6671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.8018, kappa: 0.6154, kb_relative_information_score: 84.0747, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8109, predictive_accuracy: 0.7973, prior_entropy: 1.2818, recall: 0.7973, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.7479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.8302, kappa: 0.6761, kb_relative_information_score: 17.1036, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8326, predictive_accuracy: 0.8311, prior_entropy: 1.2818, recall: 0.8311, relative_absolute_error: 0.9863, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.9159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.8231, kappa: 0.6614, kb_relative_information_score: 89.6149, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8287, predictive_accuracy: 0.8243, prior_entropy: 1.2818, recall: 0.8243, relative_absolute_error: 0.3866, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.7268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, f_measure: 0.8155, kappa: 0.6503, kb_relative_information_score: 14.6058, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8212, predictive_accuracy: 0.8176, prior_entropy: 1.2818, recall: 0.8176, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.9278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.8644, kappa: 0.7444, kb_relative_information_score: 100.7885, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8667, predictive_accuracy: 0.8649, prior_entropy: 1.2818, recall: 0.8649, relative_absolute_error: 0.3413, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.6683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.8051, kappa: 0.631, kb_relative_information_score: 74.2672, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8095, predictive_accuracy: 0.8108, prior_entropy: 1.2818, recall: 0.8108, relative_absolute_error: 0.5237, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2692, root_relative_squared_error: 0.7397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.8113, kappa: 0.6466, kb_relative_information_score: 79.3846, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8077, predictive_accuracy: 0.8176, prior_entropy: 1.2818, recall: 0.8176, relative_absolute_error: 0.506, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2589, root_relative_squared_error: 0.7114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.8204, kappa: 0.6677, kb_relative_information_score: 74.1971, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8253, predictive_accuracy: 0.8311, prior_entropy: 1.2818, recall: 0.8311, relative_absolute_error: 0.5136, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.7259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8122, kappa: 0.6531, kb_relative_information_score: 82.4429, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8179, predictive_accuracy: 0.8243, prior_entropy: 1.2818, recall: 0.8243, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.6635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.7782, kappa: 0.597, kb_relative_information_score: 79.4771, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7652, predictive_accuracy: 0.7973, prior_entropy: 1.2818, recall: 0.7973, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.8747, usercpu_time_millis: 12.561, usercpu_time_millis_testing: 0.622, usercpu_time_millis_training: 11.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6026, f_measure: 0.5818, kappa: 0.2044, kb_relative_information_score: 33.5168, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.5692, predictive_accuracy: 0.6014, prior_entropy: 1.2818, recall: 0.6014, relative_absolute_error: 0.7445, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.4465, root_relative_squared_error: 1.2267, usercpu_time_millis: 0.444, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 0.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.7845, kappa: 0.6104, kb_relative_information_score: 81.0444, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7711, predictive_accuracy: 0.8041, prior_entropy: 1.2818, recall: 0.8041, relative_absolute_error: 0.3659, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.313, root_relative_squared_error: 0.86, usercpu_time_millis: 7.564, usercpu_time_millis_testing: 0.672, usercpu_time_millis_training: 6.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.7727, kappa: 0.5865, kb_relative_information_score: 77.9417, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7571, predictive_accuracy: 0.7905, prior_entropy: 1.2818, recall: 0.7905, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.8892, usercpu_time_millis: 0.29, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 0.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.8018, kappa: 0.6211, kb_relative_information_score: 75.2403, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8074, predictive_accuracy: 0.8041, prior_entropy: 1.2818, recall: 0.8041, relative_absolute_error: 0.5174, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2662, root_relative_squared_error: 0.7313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.7727, kappa: 0.5865, kb_relative_information_score: 77.9417, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7571, predictive_accuracy: 0.7905, prior_entropy: 1.2818, recall: 0.7905, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.8892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.8094, kappa: 0.6429, kb_relative_information_score: 77.6369, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8095, predictive_accuracy: 0.8176, prior_entropy: 1.2818, recall: 0.8176, relative_absolute_error: 0.5161, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.7158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.7666, kappa: 0.5597, kb_relative_information_score: 73.5929, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7789, predictive_accuracy: 0.777, prior_entropy: 1.2818, recall: 0.777, relative_absolute_error: 0.5274, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2669, root_relative_squared_error: 0.7333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.7998, kappa: 0.6392, kb_relative_information_score: 78.4133, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.785, predictive_accuracy: 0.8176, prior_entropy: 1.2818, recall: 0.8176, relative_absolute_error: 0.4845, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2545, root_relative_squared_error: 0.6992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.8353, kappa: 0.6937, kb_relative_information_score: 79.4055, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8479, predictive_accuracy: 0.8446, prior_entropy: 1.2818, recall: 0.8446, relative_absolute_error: 0.4972, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.245, root_relative_squared_error: 0.6732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.8363, kappa: 0.6958, kb_relative_information_score: 81.8359, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8364, predictive_accuracy: 0.8446, prior_entropy: 1.2818, recall: 0.8446, relative_absolute_error: 0.477, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2515, root_relative_squared_error: 0.6912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.8056, kappa: 0.652, kb_relative_information_score: 58.1192, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7909, predictive_accuracy: 0.8243, prior_entropy: 1.2818, recall: 0.8243, relative_absolute_error: 0.6816, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.7562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.8128, kappa: 0.6544, kb_relative_information_score: 58.0057, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8169, predictive_accuracy: 0.8243, prior_entropy: 1.2818, recall: 0.8243, relative_absolute_error: 0.6854, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.7567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.8001, kappa: 0.625, kb_relative_information_score: 75.9643, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8091, predictive_accuracy: 0.8108, prior_entropy: 1.2818, recall: 0.8108, relative_absolute_error: 0.5186, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2643, root_relative_squared_error: 0.7261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.8087, kappa: 0.6423, kb_relative_information_score: 77.6827, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8093, predictive_accuracy: 0.8176, prior_entropy: 1.2818, recall: 0.8176, relative_absolute_error: 0.5237, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.7031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.7783, kappa: 0.5901, kb_relative_information_score: 81.5098, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7697, predictive_accuracy: 0.7905, prior_entropy: 1.2818, recall: 0.7905, relative_absolute_error: 0.4845, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.7042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.8128, kappa: 0.6544, kb_relative_information_score: 75.2117, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8169, predictive_accuracy: 0.8243, prior_entropy: 1.2818, recall: 0.8243, relative_absolute_error: 0.5249, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.259, root_relative_squared_error: 0.7115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.793, kappa: 0.6145, kb_relative_information_score: 78.0693, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7975, predictive_accuracy: 0.8041, prior_entropy: 1.2818, recall: 0.8041, relative_absolute_error: 0.4972, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2565, root_relative_squared_error: 0.7049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.8, kappa: 0.6291, kb_relative_information_score: 75.5695, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8031, predictive_accuracy: 0.8108, prior_entropy: 1.2818, recall: 0.8108, relative_absolute_error: 0.5148, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2654, root_relative_squared_error: 0.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.7924, kappa: 0.618, kb_relative_information_score: 78.2023, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7835, predictive_accuracy: 0.8041, prior_entropy: 1.2818, recall: 0.8041, relative_absolute_error: 0.4984, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.7103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.8158, kappa: 0.6555, kb_relative_information_score: 75.7959, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8168, predictive_accuracy: 0.8243, prior_entropy: 1.2818, recall: 0.8243, relative_absolute_error: 0.5186, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.7266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8252, kappa: 0.67, kb_relative_information_score: 81.922, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8365, predictive_accuracy: 0.8311, prior_entropy: 1.2818, recall: 0.8311, relative_absolute_error: 0.4896, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2489, root_relative_squared_error: 0.6839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8169, kappa: 0.6598, kb_relative_information_score: 81.6844, mean_absolute_error: 0.1287, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.822, predictive_accuracy: 0.8243, prior_entropy: 1.2818, recall: 0.8243, relative_absolute_error: 0.4808, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2454, root_relative_squared_error: 0.6742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.8064, kappa: 0.6411, kb_relative_information_score: 79.7135, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8108, predictive_accuracy: 0.8176, prior_entropy: 1.2818, recall: 0.8176, relative_absolute_error: 0.4984, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.7003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.8226, kappa: 0.67, kb_relative_information_score: 78.1358, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8292, predictive_accuracy: 0.8311, prior_entropy: 1.2818, recall: 0.8311, relative_absolute_error: 0.4997, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.8001, kappa: 0.6298, kb_relative_information_score: 78.9651, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8028, predictive_accuracy: 0.8108, prior_entropy: 1.2818, recall: 0.8108, relative_absolute_error: 0.4997, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.7094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.796, kappa: 0.6158, kb_relative_information_score: 78.5592, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7973, predictive_accuracy: 0.8041, prior_entropy: 1.2818, recall: 0.8041, relative_absolute_error: 0.5211, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.262, root_relative_squared_error: 0.7199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.8436, kappa: 0.7106, kb_relative_information_score: 81.3384, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8418, predictive_accuracy: 0.8514, prior_entropy: 1.2818, recall: 0.8514, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.6612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, f_measure: 0.8501, kappa: 0.7232, kb_relative_information_score: 82.6639, mean_absolute_error: 0.1323, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8488, predictive_accuracy: 0.8581, prior_entropy: 1.2818, recall: 0.8581, relative_absolute_error: 0.494, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.6499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.8144, kappa: 0.6536, kb_relative_information_score: 74.9496, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8183, predictive_accuracy: 0.8243, prior_entropy: 1.2818, recall: 0.8243, relative_absolute_error: 0.5161, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.26, root_relative_squared_error: 0.7144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.7876, kappa: 0.5989, kb_relative_information_score: 80.1579, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7951, predictive_accuracy: 0.7973, prior_entropy: 1.2818, recall: 0.7973, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2527, root_relative_squared_error: 0.6943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8367, kappa: 0.6969, kb_relative_information_score: 81.7225, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8355, predictive_accuracy: 0.8446, prior_entropy: 1.2818, recall: 0.8446, relative_absolute_error: 0.5005, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2393, root_relative_squared_error: 0.6576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, f_measure: 0.7963, kappa: 0.6157, kb_relative_information_score: 78.2317, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7996, predictive_accuracy: 0.8041, prior_entropy: 1.2818, recall: 0.8041, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.7359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8268, kappa: 0.674, kb_relative_information_score: 82.1977, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8276, predictive_accuracy: 0.8311, prior_entropy: 1.2818, recall: 0.8311, relative_absolute_error: 0.4959, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2474, root_relative_squared_error: 0.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8129, kappa: 0.6537, kb_relative_information_score: 80.3581, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.818, predictive_accuracy: 0.8243, prior_entropy: 1.2818, recall: 0.8243, relative_absolute_error: 0.4972, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.6776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, f_measure: 0.7939, kappa: 0.6172, kb_relative_information_score: 75.7789, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7968, predictive_accuracy: 0.8041, prior_entropy: 1.2818, recall: 0.8041, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2624, root_relative_squared_error: 0.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.7917, kappa: 0.6124, kb_relative_information_score: 81.6454, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7983, predictive_accuracy: 0.8041, prior_entropy: 1.2818, recall: 0.8041, relative_absolute_error: 0.477, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2454, root_relative_squared_error: 0.6744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.8169, kappa: 0.6586, kb_relative_information_score: 79.5653, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.815, predictive_accuracy: 0.8243, prior_entropy: 1.2818, recall: 0.8243, relative_absolute_error: 0.5009, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2561, root_relative_squared_error: 0.7038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.7727, kappa: 0.5865, kb_relative_information_score: 77.9417, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7571, predictive_accuracy: 0.7905, prior_entropy: 1.2818, recall: 0.7905, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.8892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, f_measure: 0.7648, kappa: 0.5603, kb_relative_information_score: 77.8981, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7595, predictive_accuracy: 0.7703, prior_entropy: 1.2818, recall: 0.7703, relative_absolute_error: 0.429, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.9312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7326, kappa: 0.5056, kb_relative_information_score: 72.2639, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7412, predictive_accuracy: 0.7568, prior_entropy: 1.2818, recall: 0.7568, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.291, root_relative_squared_error: 0.7995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.7821, kappa: 0.591, kb_relative_information_score: 81.0645, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7809, predictive_accuracy: 0.7838, prior_entropy: 1.2818, recall: 0.7838, relative_absolute_error: 0.4038, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.9034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7326, kappa: 0.5056, kb_relative_information_score: 72.2639, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7412, predictive_accuracy: 0.7568, prior_entropy: 1.2818, recall: 0.7568, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.291, root_relative_squared_error: 0.7995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, f_measure: 0.7422, kappa: 0.5168, kb_relative_information_score: 71.5972, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7417, predictive_accuracy: 0.7432, prior_entropy: 1.2818, recall: 0.7432, relative_absolute_error: 0.4795, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3583, root_relative_squared_error: 0.9845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7326, kappa: 0.5056, kb_relative_information_score: 72.2639, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7412, predictive_accuracy: 0.7568, prior_entropy: 1.2818, recall: 0.7568, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.291, root_relative_squared_error: 0.7995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.7993, kappa: 0.6191, kb_relative_information_score: 79.496, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8022, predictive_accuracy: 0.8041, prior_entropy: 1.2818, recall: 0.8041, relative_absolute_error: 0.4795, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2527, root_relative_squared_error: 0.6943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.7681, kappa: 0.567, kb_relative_information_score: 80.2432, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7665, predictive_accuracy: 0.7703, prior_entropy: 1.2818, recall: 0.7703, relative_absolute_error: 0.429, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.9312,

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