OpenML
Supervised Classification on wall-robot-navigation

Supervised Classification on wall-robot-navigation

Task 9960 Supervised Classification wall-robot-navigation 20384 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_7 study_98 study_99
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20384 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 534.7965, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7151, recall: 0.9952, relative_absolute_error: 1.031, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.8665, kappa: 0.8018, kb_relative_information_score: 48.3045, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8825, predictive_accuracy: 0.869, prior_entropy: 1.7151, recall: 0.869, relative_absolute_error: 1.1147, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4264, root_relative_squared_error: 1.0479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9947, kappa: 0.992, kb_relative_information_score: 5270.3087, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 1.7151, recall: 0.9947, relative_absolute_error: 0.0526, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.057, root_relative_squared_error: 0.1401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9322, kappa: 0.8977, kb_relative_information_score: 4194.6333, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9363, predictive_accuracy: 0.9322, prior_entropy: 1.7151, recall: 0.9322, relative_absolute_error: 0.3281, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9925, kappa: 0.9887, kb_relative_information_score: 5308.865, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 1.7151, recall: 0.9925, relative_absolute_error: 0.0387, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0591, root_relative_squared_error: 0.1453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9958, kappa: 0.9936, kb_relative_information_score: 5272.3231, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 1.7151, recall: 0.9958, relative_absolute_error: 0.0523, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.1374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9943, kappa: 0.9914, kb_relative_information_score: 5337.5996, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 1.7151, recall: 0.9943, relative_absolute_error: 0.0314, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0511, root_relative_squared_error: 0.1256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9965, kappa: 0.9947, kb_relative_information_score: 5399.8038, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1.7151, recall: 0.9965, relative_absolute_error: 0.0141, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0373, root_relative_squared_error: 0.0915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9978, kappa: 0.9967, kb_relative_information_score: 5433.451, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 1.7151, recall: 0.9978, relative_absolute_error: 0.0041, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.031, root_relative_squared_error: 0.0761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.995, kappa: 0.9925, kb_relative_information_score: 534.7547, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9951, predictive_accuracy: 0.9951, prior_entropy: 1.7151, recall: 0.9951, relative_absolute_error: 1.0309, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9925, kappa: 0.9886, kb_relative_information_score: 5171.7037, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 1.7151, recall: 0.9925, relative_absolute_error: 0.0806, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0703, root_relative_squared_error: 0.1728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, kappa: 0.7945, kb_relative_information_score: 88.5325, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.869, prior_entropy: 1.7151, recall: 0.869, relative_absolute_error: 1.1061, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4232, root_relative_squared_error: 1.0399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9954, kappa: 0.9931, kb_relative_information_score: 5264.2607, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 1.7151, recall: 0.9954, relative_absolute_error: 0.0546, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0568, root_relative_squared_error: 0.1395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9938, kappa: 0.9906, kb_relative_information_score: 5296.1904, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 1.7151, recall: 0.9938, relative_absolute_error: 0.0434, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0584, root_relative_squared_error: 0.1436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9961, kappa: 0.9942, kb_relative_information_score: 5379.6022, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 1.7151, recall: 0.9962, relative_absolute_error: 0.0196, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0425, root_relative_squared_error: 0.1045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, kappa: 0.8264, kb_relative_information_score: 222.8509, mean_absolute_error: 0.3574, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.8893, prior_entropy: 1.7151, recall: 0.8893, relative_absolute_error: 1.0789, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4129, root_relative_squared_error: 1.0147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 5412.0711, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7151, recall: 0.9952, relative_absolute_error: 0.0075, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0486, root_relative_squared_error: 0.1195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9943, kappa: 0.9914, kb_relative_information_score: 5348.8193, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 1.7151, recall: 0.9943, relative_absolute_error: 0.0281, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0496, root_relative_squared_error: 0.1219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9963, kappa: 0.9945, kb_relative_information_score: 5407.1009, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 1.7151, recall: 0.9963, relative_absolute_error: 0.0113, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0383, root_relative_squared_error: 0.0941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 5358.536, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7151, recall: 0.9952, relative_absolute_error: 0.026, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0462, root_relative_squared_error: 0.1136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.998, kappa: 0.997, kb_relative_information_score: 5436.0138, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 1.7151, recall: 0.998, relative_absolute_error: 0.0031, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0298, root_relative_squared_error: 0.0733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9971, kappa: 0.9956, kb_relative_information_score: 5426.5736, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 1.7151, recall: 0.9971, relative_absolute_error: 0.0045, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0381, root_relative_squared_error: 0.0936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9949, kappa: 0.9923, kb_relative_information_score: 5369.0214, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 1.7151, recall: 0.9949, relative_absolute_error: 0.0223, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0457, root_relative_squared_error: 0.1123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9978, kappa: 0.9967, kb_relative_information_score: 5432.3581, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 1.7151, recall: 0.9978, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0326, root_relative_squared_error: 0.0801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.866, kappa: 0.7983, kb_relative_information_score: 3879.6951, mean_absolute_error: 0.1255, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8866, predictive_accuracy: 0.869, prior_entropy: 1.7151, recall: 0.869, relative_absolute_error: 0.379, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9978, kappa: 0.9967, kb_relative_information_score: 469.8004, mean_absolute_error: 0.3454, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 1.7151, recall: 0.9978, relative_absolute_error: 1.0427, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.9801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9961, kappa: 0.9942, kb_relative_information_score: 5348.825, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 1.7151, recall: 0.9962, relative_absolute_error: 0.0295, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0458, root_relative_squared_error: 0.1125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.965, kappa: 0.9477, kb_relative_information_score: 136.0026, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9658, predictive_accuracy: 0.9655, prior_entropy: 1.7151, recall: 0.9655, relative_absolute_error: 1.0986, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4203, root_relative_squared_error: 1.0329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 5412.7106, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7151, recall: 0.9952, relative_absolute_error: 0.0073, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.049, root_relative_squared_error: 0.1205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.996, kappa: 0.9939, kb_relative_information_score: 5378.5283, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 1.7151, recall: 0.996, relative_absolute_error: 0.0195, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0437, root_relative_squared_error: 0.1075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9958, kappa: 0.9936, kb_relative_information_score: 5420.673, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 1.7151, recall: 0.9958, relative_absolute_error: 0.0058, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0415, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9974, kappa: 0.9961, kb_relative_information_score: 5428.8158, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 1.7151, recall: 0.9974, relative_absolute_error: 0.0043, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0329, root_relative_squared_error: 0.0808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.995, kappa: 0.9925, kb_relative_information_score: 5383.8378, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9951, predictive_accuracy: 0.9951, prior_entropy: 1.7151, recall: 0.9951, relative_absolute_error: 0.0171, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0462, root_relative_squared_error: 0.1135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9982, kappa: 0.9972, kb_relative_information_score: 5437.6012, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1.7151, recall: 0.9982, relative_absolute_error: 0.0026, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0283, root_relative_squared_error: 0.0695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.6313, kappa: 0.487, kb_relative_information_score: 2592.7174, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7341, predictive_accuracy: 0.6782, prior_entropy: 1.7151, recall: 0.6782, relative_absolute_error: 0.6146, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.8023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9941, kappa: 0.9911, kb_relative_information_score: 5218.9037, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7151, recall: 0.9941, relative_absolute_error: 0.0675, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.1575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9954, kappa: 0.9931, kb_relative_information_score: 5355.0826, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 1.7151, recall: 0.9954, relative_absolute_error: 0.0267, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0476, root_relative_squared_error: 0.1169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9974, kappa: 0.9961, kb_relative_information_score: 5430.9459, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 1.7151, recall: 0.9974, relative_absolute_error: 0.0048, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0331, root_relative_squared_error: 0.0813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9965, kappa: 0.9947, kb_relative_information_score: 5395.1152, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1.7151, recall: 0.9965, relative_absolute_error: 0.0146, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0402, root_relative_squared_error: 0.0987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 5358.3499, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7151, recall: 0.9952, relative_absolute_error: 0.0261, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0465, root_relative_squared_error: 0.1144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.6825, kappa: 0.5546, kb_relative_information_score: 2760.1055, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7517, predictive_accuracy: 0.719, prior_entropy: 1.7151, recall: 0.719, relative_absolute_error: 0.5498, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.7851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9895, kappa: 0.9842, kb_relative_information_score: 4915.8525, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9895, predictive_accuracy: 0.9896, prior_entropy: 1.7151, recall: 0.9896, relative_absolute_error: 0.1519, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0993, root_relative_squared_error: 0.2439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9902, kappa: 0.9853, kb_relative_information_score: 5046.8241, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 1.7151, recall: 0.9903, relative_absolute_error: 0.1153, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0855, root_relative_squared_error: 0.2101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9945, kappa: 0.9917, kb_relative_information_score: 5343.8753, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 1.7151, recall: 0.9945, relative_absolute_error: 0.03, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0498, root_relative_squared_error: 0.1225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9949, kappa: 0.9923, kb_relative_information_score: 534.8801, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 1.7151, recall: 0.9949, relative_absolute_error: 1.0309, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9943, kappa: 0.9914, kb_relative_information_score: 5378.0877, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 1.7151, recall: 0.9943, relative_absolute_error: 0.0189, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0467, root_relative_squared_error: 0.1147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9983, kappa: 0.9975, kb_relative_information_score: 5437.5904, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9984, predictive_accuracy: 0.9984, prior_entropy: 1.7151, recall: 0.9984, relative_absolute_error: 0.0027, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0282, root_relative_squared_error: 0.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9983, kappa: 0.9975, kb_relative_information_score: 398.7111, mean_absolute_error: 0.3499, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9984, predictive_accuracy: 0.9984, prior_entropy: 1.7151, recall: 0.9984, relative_absolute_error: 1.0564, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.9931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.993, kappa: 0.9895, kb_relative_information_score: 5261.683, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9931, predictive_accuracy: 0.993, prior_entropy: 1.7151, recall: 0.993, relative_absolute_error: 0.0525, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.1594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9947, kappa: 0.992, kb_relative_information_score: 5376.1931, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 1.7151, recall: 0.9947, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0468, root_relative_squared_error: 0.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9934, kappa: 0.99, kb_relative_information_score: 5343.0575, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 1.7151, recall: 0.9934, relative_absolute_error: 0.0291, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0527, root_relative_squared_error: 0.1295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 5329.8328, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7151, recall: 0.9952, relative_absolute_error: 0.0339, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0518, root_relative_squared_error: 0.1273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9949, kappa: 0.9923, kb_relative_information_score: 5313.807, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 1.7151, recall: 0.9949, relative_absolute_error: 0.0393, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0522, root_relative_squared_error: 0.1283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.998, kappa: 0.997, kb_relative_information_score: 196.4281, mean_absolute_error: 0.3617, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 1.7151, recall: 0.998, relative_absolute_error: 1.0919, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4177, root_relative_squared_error: 1.0265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9945, kappa: 0.9917, kb_relative_information_score: 5310.2478, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 1.7151, recall: 0.9945, relative_absolute_error: 0.0395, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0554, root_relative_squared_error: 0.1361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 5413.9449, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7151, recall: 0.9952, relative_absolute_error: 0.0073, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0486, root_relative_squared_error: 0.1194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9947, kappa: 0.992, kb_relative_information_score: 5173.4012, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 1.7151, recall: 0.9947, relative_absolute_error: 0.0809, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0684, root_relative_squared_error: 0.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.914, kappa: 0.8719, kb_relative_information_score: 4678.0777, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9223, predictive_accuracy: 0.9148, prior_entropy: 1.7151, recall: 0.9148, relative_absolute_error: 0.1901, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.4389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.995, kappa: 0.9925, kb_relative_information_score: 5411.8682, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9951, predictive_accuracy: 0.9951, prior_entropy: 1.7151, recall: 0.9951, relative_absolute_error: 0.0075, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0494, root_relative_squared_error: 0.1213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 534.1001, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7151, recall: 0.9952, relative_absolute_error: 1.0311, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.9691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9939, kappa: 0.9909, kb_relative_information_score: 5325.9348, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.994, predictive_accuracy: 0.994, prior_entropy: 1.7151, recall: 0.994, relative_absolute_error: 0.0347, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0535, root_relative_squared_error: 0.1314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 5412.1639, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7151, recall: 0.9952, relative_absolute_error: 0.0075, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0476, root_relative_squared_error: 0.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.8247, kappa: 0.7503, kb_relative_information_score: 48.7671, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8581, predictive_accuracy: 0.8402, prior_entropy: 1.7151, recall: 0.8402, relative_absolute_error: 1.1131, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.0465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9947, kappa: 0.992, kb_relative_information_score: 534.1631, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 1.7151, recall: 0.9947, relative_absolute_error: 1.031, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.9691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9855, kappa: 0.9781, kb_relative_information_score: 4807.8762, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 1.7151, recall: 0.9855, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1135, root_relative_squared_error: 0.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9963, kappa: 0.9945, kb_relative_information_score: 5329.3388, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 1.7151, recall: 0.9963, relative_absolute_error: 0.0356, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0477, root_relative_squared_error: 0.1171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9958, kappa: 0.9936, kb_relative_information_score: 421.3098, mean_absolute_error: 0.3482, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 1.7151, recall: 0.9958, relative_absolute_error: 1.0511, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.9882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9956, kappa: 0.9934, kb_relative_information_score: 5357.9934, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 1.7151, recall: 0.9956, relative_absolute_error: 0.0258, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0468, root_relative_squared_error: 0.1149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9943, kappa: 0.9914, kb_relative_information_score: 5267.0575, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 1.7151, recall: 0.9943, relative_absolute_error: 0.0528, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0598, root_relative_squared_error: 0.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.8586, kappa: 0.7898, kb_relative_information_score: 49.7621, mean_absolute_error: 0.3694, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8771, predictive_accuracy: 0.8613, prior_entropy: 1.7151, recall: 0.8613, relative_absolute_error: 1.1151, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4266, root_relative_squared_error: 1.0483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9818, kappa: 0.9725, kb_relative_information_score: 5264.1281, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9828, predictive_accuracy: 0.9817, prior_entropy: 1.7151, recall: 0.9817, relative_absolute_error: 0.0479, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.2085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9971, kappa: 0.9956, kb_relative_information_score: 200.9208, mean_absolute_error: 0.3613, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 1.7151, recall: 0.9971, relative_absolute_error: 1.0908, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4173, root_relative_squared_error: 1.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9969, kappa: 0.9953, kb_relative_information_score: 220.8916, mean_absolute_error: 0.3597, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 1.7151, recall: 0.9969, relative_absolute_error: 1.086, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4155, root_relative_squared_error: 1.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9918, kappa: 0.9875, kb_relative_information_score: 5360.8734, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9918, predictive_accuracy: 0.9918, prior_entropy: 1.7151, recall: 0.9918, relative_absolute_error: 0.0231, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0525, root_relative_squared_error: 0.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.998, kappa: 0.997, kb_relative_information_score: 5433.1869, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 1.7151, recall: 0.998, relative_absolute_error: 0.0034, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0316, root_relative_squared_error: 0.0777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9956, kappa: 0.9934, kb_relative_information_score: 235.9854, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 1.7151, recall: 0.9956, relative_absolute_error: 1.083, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4143, root_relative_squared_error: 1.0182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9972, kappa: 0.9958, kb_relative_information_score: 219.0561, mean_absolute_error: 0.3601, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9972, predictive_accuracy: 0.9973, prior_entropy: 1.7151, recall: 0.9973, relative_absolute_error: 1.087, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4159, root_relative_squared_error: 1.0219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.8575, kappa: 0.7879, kb_relative_information_score: 50.8979, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8779, predictive_accuracy: 0.86, prior_entropy: 1.7151, recall: 0.86, relative_absolute_error: 1.1149, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4265, root_relative_squared_error: 1.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9945, kappa: 0.9917, kb_relative_information_score: 534.3676, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 1.7151, recall: 0.9945, relative_absolute_error: 1.031, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.9691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.993, kappa: 0.9895, kb_relative_information_score: 420.2974, mean_absolute_error: 0.3476, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9931, predictive_accuracy: 0.993, prior_entropy: 1.7151, recall: 0.993, relative_absolute_error: 1.0495, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.9866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9956, kappa: 0.9934, kb_relative_information_score: 5391.8372, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 1.7151, recall: 0.9956, relative_absolute_error: 0.0155, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0432, root_relative_squared_error: 0.1062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9941, kappa: 0.9911, kb_relative_information_score: 5367.0741, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9942, predictive_accuracy: 0.9941, prior_entropy: 1.7151, recall: 0.9941, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0491, root_relative_squared_error: 0.1207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9978, kappa: 0.9967, kb_relative_information_score: 5435.3072, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 1.7151, recall: 0.9978, relative_absolute_error: 0.0032, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0309, root_relative_squared_error: 0.0759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9906, kappa: 0.9859, kb_relative_information_score: 5082.3201, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9906, predictive_accuracy: 0.9907, prior_entropy: 1.7151, recall: 0.9907, relative_absolute_error: 0.105, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0859, root_relative_squared_error: 0.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9943, kappa: 0.9914, kb_relative_information_score: 5311.949, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 1.7151, recall: 0.9943, relative_absolute_error: 0.039, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0548, root_relative_squared_error: 0.1346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9972, kb_relative_information_score: 194.1904, mean_absolute_error: 0.3618, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1.7151, recall: 0.9982, relative_absolute_error: 1.0924, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4179, root_relative_squared_error: 1.0269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.6563, kappa: 0.4835, kb_relative_information_score: 2304.3783, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6636, predictive_accuracy: 0.6607, prior_entropy: 1.7151, recall: 0.6607, relative_absolute_error: 0.6892, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.8351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9967, kappa: 0.995, kb_relative_information_score: 5424.6241, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 1.7151, recall: 0.9967, relative_absolute_error: 0.0049, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0403, root_relative_squared_error: 0.0989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9888, kappa: 0.9831, kb_relative_information_score: 4829.7653, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9888, predictive_accuracy: 0.9888, prior_entropy: 1.7151, recall: 0.9888, relative_absolute_error: 0.1758, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.2661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9958, kappa: 0.9936, kb_relative_information_score: 5397.8499, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 1.7151, recall: 0.9958, relative_absolute_error: 0.0137, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.042, root_relative_squared_error: 0.1033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.99, kb_relative_information_score: 5132.5255, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 1.7151, recall: 0.9934, relative_absolute_error: 0.092, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0745, root_relative_squared_error: 0.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9954, kappa: 0.9931, kb_relative_information_score: 5336.7481, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 1.7151, recall: 0.9954, relative_absolute_error: 0.0324, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.049, root_relative_squared_error: 0.1204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9943, kappa: 0.9914, kb_relative_information_score: 5312.0938, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 1.7151, recall: 0.9943, relative_absolute_error: 0.0393, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0546, root_relative_squared_error: 0.1343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9936, kappa: 0.9903, kb_relative_information_score: 5359.1304, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9936, predictive_accuracy: 0.9936, prior_entropy: 1.7151, recall: 0.9936, relative_absolute_error: 0.0245, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0502, root_relative_squared_error: 0.1235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9945, kappa: 0.9917, kb_relative_information_score: 5407.8898, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 1.7151, recall: 0.9945, relative_absolute_error: 0.0084, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0527, root_relative_squared_error: 0.1294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9938, kappa: 0.9906, kb_relative_information_score: 5156.9884, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 1.7151, recall: 0.9938, relative_absolute_error: 0.0855, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0708, root_relative_squared_error: 0.1741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9878, kappa: 0.9817, kb_relative_information_score: 4805.1492, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9879, predictive_accuracy: 0.9879, prior_entropy: 1.7151, recall: 0.9879, relative_absolute_error: 0.1815, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1116, root_relative_squared_error: 0.2744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 5365.6684, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7151, recall: 0.9952, relative_absolute_error: 0.0231, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.046, root_relative_squared_error: 0.1131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9961, kappa: 0.9942, kb_relative_information_score: 5390.0448, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 1.7151, recall: 0.9962, relative_absolute_error: 0.0165, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0409, root_relative_squared_error: 0.1005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9967, kappa: 0.995, kb_relative_information_score: 5409.3477, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 1.7151, recall: 0.9967, relative_absolute_error: 0.0102, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0392, root_relative_squared_error: 0.0964,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs