Task
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: 0.9998, f_measure: 0.996, kappa: 0.9939, kb_relative_information_score: 5384.5176, mean_absolute_error: 0.006, 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: 0.0183, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0415, root_relative_squared_error: 0.1021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9972, kappa: 0.9958, kb_relative_information_score: 336.7596, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 1.7151, recall: 0.9973, relative_absolute_error: 1.0655, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4077, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9976, kappa: 0.9964, kb_relative_information_score: 5430.2252, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7151, recall: 0.9976, relative_absolute_error: 0.0038, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0345, root_relative_squared_error: 0.0847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.996, kappa: 0.9939, kb_relative_information_score: 5361.3504, mean_absolute_error: 0.0084, 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: 0.0254, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0441, root_relative_squared_error: 0.1083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9905, kappa: 0.9856, kb_relative_information_score: 5363.9984, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7151, recall: 0.9905, relative_absolute_error: 0.0192, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0626, root_relative_squared_error: 0.1539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5385.1816, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.0143, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0562, root_relative_squared_error: 0.1381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9947, kappa: 0.992, kb_relative_information_score: 5367.4912, mean_absolute_error: 0.0075, 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: 0.0225, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0471, root_relative_squared_error: 0.1157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9949, kappa: 0.9923, kb_relative_information_score: 5360.5686, mean_absolute_error: 0.008, 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: 0.0242, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0487, root_relative_squared_error: 0.1197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9947, kappa: 0.992, kb_relative_information_score: 5406.0018, mean_absolute_error: 0.0032, 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: 0.0095, 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: 0.9997, f_measure: 0.9961, kappa: 0.9942, kb_relative_information_score: 227.6959, mean_absolute_error: 0.3593, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9961, predictive_accuracy: 0.9962, prior_entropy: 1.7151, recall: 0.9962, relative_absolute_error: 1.0846, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.415, root_relative_squared_error: 1.0197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.9187, kappa: 0.8774, kb_relative_information_score: 2795.8176, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9308, predictive_accuracy: 0.9172, prior_entropy: 1.7151, recall: 0.9172, relative_absolute_error: 0.622, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.7549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9874, kappa: 0.981, kb_relative_information_score: 5328.8313, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9878, predictive_accuracy: 0.9874, prior_entropy: 1.7151, recall: 0.9874, relative_absolute_error: 0.031, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.071, root_relative_squared_error: 0.1746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9905, kappa: 0.9856, kb_relative_information_score: 5373.323, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7151, recall: 0.9905, relative_absolute_error: 0.0167, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0607, root_relative_squared_error: 0.1491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9972, kb_relative_information_score: 426.9854, mean_absolute_error: 0.3483, 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: 1.0515, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.9884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9738, kappa: 0.9606, kb_relative_information_score: 129.5135, mean_absolute_error: 0.3643, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9739, predictive_accuracy: 0.974, prior_entropy: 1.7151, recall: 0.974, relative_absolute_error: 1.0999, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4208, root_relative_squared_error: 1.0341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9932, kappa: 0.9898, kb_relative_information_score: 5400.1144, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9932, predictive_accuracy: 0.9932, prior_entropy: 1.7151, recall: 0.9932, relative_absolute_error: 0.0097, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0524, root_relative_squared_error: 0.1288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.996, kappa: 0.9939, kb_relative_information_score: 5316.8142, mean_absolute_error: 0.0129, 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: 0.039, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9956, kappa: 0.9934, kb_relative_information_score: 5335.2659, mean_absolute_error: 0.011, 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: 0.0333, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0483, root_relative_squared_error: 0.1187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9934, kappa: 0.99, kb_relative_information_score: 5400.1662, mean_absolute_error: 0.0035, 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: 0.0105, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0524, root_relative_squared_error: 0.1287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9961, kappa: 0.9942, kb_relative_information_score: 5268.4952, mean_absolute_error: 0.0177, 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: 0.0533, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0562, root_relative_squared_error: 0.1382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9972, kappa: 0.9958, kb_relative_information_score: 5429.3546, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 1.7151, recall: 0.9973, relative_absolute_error: 0.0041, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0365, root_relative_squared_error: 0.0896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9945, kappa: 0.9917, kb_relative_information_score: 5272.6903, mean_absolute_error: 0.0168, 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: 0.0507, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.06, root_relative_squared_error: 0.1475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9921, kappa: 0.9881, kb_relative_information_score: 5391.232, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 1.7151, recall: 0.9921, relative_absolute_error: 0.0127, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0557, root_relative_squared_error: 0.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9925, kappa: 0.9887, kb_relative_information_score: 5391.2956, mean_absolute_error: 0.0043, 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: 0.0129, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0531, root_relative_squared_error: 0.1304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9972, kappa: 0.9958, kb_relative_information_score: 456.2476, mean_absolute_error: 0.3465, 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: 1.046, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.9832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 534.2531, 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: 0.3944, root_relative_squared_error: 0.9691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9925, kappa: 0.9886, kb_relative_information_score: 5080.9818, mean_absolute_error: 0.0352, 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: 0.1064, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0807, root_relative_squared_error: 0.1983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.996, kappa: 0.9939, kb_relative_information_score: 5316.4663, mean_absolute_error: 0.0129, 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: 0.039, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0501, root_relative_squared_error: 0.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9912, kappa: 0.9867, kb_relative_information_score: 5378.3228, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9912, predictive_accuracy: 0.9912, prior_entropy: 1.7151, recall: 0.9912, relative_absolute_error: 0.0158, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0582, root_relative_squared_error: 0.1431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9938, kappa: 0.9906, kb_relative_information_score: 5400.6362, mean_absolute_error: 0.0036, 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: 0.0108, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0499, root_relative_squared_error: 0.1225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9971, kappa: 0.9956, kb_relative_information_score: 5428.228, mean_absolute_error: 0.0016, 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: 0.0049, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0366, root_relative_squared_error: 0.0899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9941, kappa: 0.9911, kb_relative_information_score: 5329.4846, mean_absolute_error: 0.0111, 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: 0.0336, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0537, root_relative_squared_error: 0.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9972, kb_relative_information_score: 425.8025, mean_absolute_error: 0.3485, 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: 1.0521, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.9889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9956, kappa: 0.9934, kb_relative_information_score: 5379.91, mean_absolute_error: 0.0064, 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: 0.0194, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0431, root_relative_squared_error: 0.1059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9967, kappa: 0.995, kb_relative_information_score: 5384.0143, mean_absolute_error: 0.0062, 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: 0.0187, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0405, root_relative_squared_error: 0.0996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9914, kappa: 0.987, kb_relative_information_score: 5373.6389, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9914, predictive_accuracy: 0.9914, prior_entropy: 1.7151, recall: 0.9914, relative_absolute_error: 0.017, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0602, root_relative_squared_error: 0.1478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9908, kappa: 0.9862, kb_relative_information_score: 5371.3769, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9908, predictive_accuracy: 0.9908, prior_entropy: 1.7151, recall: 0.9908, relative_absolute_error: 0.0173, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0608, root_relative_squared_error: 0.1495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5396.6269, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.0109, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.055, root_relative_squared_error: 0.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9895, kappa: 0.9842, kb_relative_information_score: 5358.3339, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 1.7151, recall: 0.9896, relative_absolute_error: 0.021, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0653, root_relative_squared_error: 0.1604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9921, kappa: 0.9881, kb_relative_information_score: 5393.9502, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 1.7151, recall: 0.9921, relative_absolute_error: 0.0119, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0555, root_relative_squared_error: 0.1364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.995, kappa: 0.9925, kb_relative_information_score: 5354.544, mean_absolute_error: 0.0089, 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: 0.0269, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0473, root_relative_squared_error: 0.1161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9932, kappa: 0.9898, kb_relative_information_score: 5396.8346, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9932, predictive_accuracy: 0.9932, prior_entropy: 1.7151, recall: 0.9932, relative_absolute_error: 0.0115, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0515, root_relative_squared_error: 0.1265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9949, kappa: 0.9923, kb_relative_information_score: 534.8952, 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: 0.9988, kappa: 0.8789, kb_relative_information_score: 371.6648, mean_absolute_error: 0.3501, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.9225, prior_entropy: 1.7151, recall: 0.9225, relative_absolute_error: 1.0568, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.9937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9947, kappa: 0.992, kb_relative_information_score: 5405.628, mean_absolute_error: 0.0031, 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: 0.0095, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0479, root_relative_squared_error: 0.1178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9905, kappa: 0.9856, kb_relative_information_score: 5370.6476, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7151, recall: 0.9905, relative_absolute_error: 0.0179, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0614, root_relative_squared_error: 0.1508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9905, kappa: 0.9856, kb_relative_information_score: 5373.9485, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7151, recall: 0.9905, relative_absolute_error: 0.0165, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0603, root_relative_squared_error: 0.1481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9908, kappa: 0.9862, kb_relative_information_score: 5368.424, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9909, predictive_accuracy: 0.9908, prior_entropy: 1.7151, recall: 0.9908, relative_absolute_error: 0.0188, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.1534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9934, kappa: 0.99, kb_relative_information_score: 5399.8143, mean_absolute_error: 0.0036, 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: 0.0108, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0507, root_relative_squared_error: 0.1246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.998, kappa: 0.997, kb_relative_information_score: 356.4, mean_absolute_error: 0.3527, 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: 1.0647, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4073, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.995, kappa: 0.9925, kb_relative_information_score: 5411.4962, 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: 0.0076, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9905, kappa: 0.9856, kb_relative_information_score: 5368.6579, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7151, recall: 0.9905, relative_absolute_error: 0.0187, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0617, root_relative_squared_error: 0.1516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9814, kappa: 0.9719, kb_relative_information_score: 425.7279, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.982, predictive_accuracy: 0.9815, prior_entropy: 1.7151, recall: 0.9815, relative_absolute_error: 1.0478, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.9851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9974, kappa: 0.9961, kb_relative_information_score: 331.3966, mean_absolute_error: 0.3534, 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: 1.0668, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4081, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9939, kappa: 0.9909, kb_relative_information_score: 533.3281, mean_absolute_error: 0.3416, 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: 1.0312, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.9692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9971, kappa: 0.9956, kb_relative_information_score: 5404.2451, mean_absolute_error: 0.004, 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: 0.0121, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.038, root_relative_squared_error: 0.0933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9949, kappa: 0.9923, kb_relative_information_score: 534.4265, 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: 1.031, 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: 0.9978, f_measure: 0.9927, kappa: 0.9889, kb_relative_information_score: 5398.4091, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 1.7151, recall: 0.9927, relative_absolute_error: 0.0111, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0517, root_relative_squared_error: 0.1271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9949, kappa: 0.9923, kb_relative_information_score: 5314.5827, mean_absolute_error: 0.0129, 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: 0.039, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0527, root_relative_squared_error: 0.1296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9969, kappa: 0.9953, kb_relative_information_score: 5429.1111, mean_absolute_error: 0.0016, 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: 0.0048, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0361, root_relative_squared_error: 0.0887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.998, kappa: 0.997, kb_relative_information_score: 472.0311, mean_absolute_error: 0.3449, 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: 1.0412, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.9787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5383.164, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.0149, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0569, root_relative_squared_error: 0.1398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9918, kappa: 0.9876, kb_relative_information_score: 5322.9605, mean_absolute_error: 0.0114, 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: 0.0343, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0583, root_relative_squared_error: 0.1432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9905, kappa: 0.9856, kb_relative_information_score: 5369.6244, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7151, recall: 0.9905, relative_absolute_error: 0.0182, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0615, root_relative_squared_error: 0.1511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5381.1166, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.0155, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0574, root_relative_squared_error: 0.1409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.995, kappa: 0.9925, kb_relative_information_score: 5413.1082, 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: 0.0077, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0455, root_relative_squared_error: 0.1119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9972, kappa: 0.9958, kb_relative_information_score: 5429.1238, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 1.7151, recall: 0.9973, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0367, root_relative_squared_error: 0.0902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9956, kappa: 0.9934, kb_relative_information_score: 5313.0789, mean_absolute_error: 0.0132, 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: 0.0398, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0511, root_relative_squared_error: 0.1257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9976, kappa: 0.9964, kb_relative_information_score: 5432.5066, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7151, recall: 0.9976, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0338, root_relative_squared_error: 0.0831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9936, kappa: 0.9903, kb_relative_information_score: 5400.2902, mean_absolute_error: 0.0036, 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: 0.0108, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0503, root_relative_squared_error: 0.1236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5385.4031, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.0142, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.1373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5383.2526, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.0149, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0567, root_relative_squared_error: 0.1393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.991, kappa: 0.9864, kb_relative_information_score: 5377.9479, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.991, predictive_accuracy: 0.991, prior_entropy: 1.7151, recall: 0.991, relative_absolute_error: 0.0158, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0588, root_relative_squared_error: 0.1444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9927, kappa: 0.9889, kb_relative_information_score: 5399.6507, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 1.7151, recall: 0.9927, relative_absolute_error: 0.0106, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0524, root_relative_squared_error: 0.1289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9918, kappa: 0.9875, kb_relative_information_score: 5390.8612, mean_absolute_error: 0.0043, 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: 0.0129, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0538, root_relative_squared_error: 0.1323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9914, kappa: 0.987, kb_relative_information_score: 5374.732, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9914, predictive_accuracy: 0.9914, prior_entropy: 1.7151, recall: 0.9914, relative_absolute_error: 0.0167, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0594, root_relative_squared_error: 0.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9925, kappa: 0.9887, kb_relative_information_score: 5389.0327, mean_absolute_error: 0.0045, 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: 0.0134, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0544, root_relative_squared_error: 0.1336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5382.6101, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.0151, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0573, root_relative_squared_error: 0.1407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.5296, kappa: 0.3599, kb_relative_information_score: 2261.1499, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6264, predictive_accuracy: 0.5258, prior_entropy: 1.7151, recall: 0.5258, relative_absolute_error: 0.7138, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4371, root_relative_squared_error: 1.0742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5382.5863, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.0151, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0573, root_relative_squared_error: 0.1408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9908, kappa: 0.9862, kb_relative_information_score: 5371.666, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9908, predictive_accuracy: 0.9908, prior_entropy: 1.7151, recall: 0.9908, relative_absolute_error: 0.0172, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0611, root_relative_squared_error: 0.1502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9914, kappa: 0.987, kb_relative_information_score: 5381.1486, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9914, predictive_accuracy: 0.9914, prior_entropy: 1.7151, recall: 0.9914, relative_absolute_error: 0.0152, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.058, root_relative_squared_error: 0.1426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5382.8824, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.015, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0569, root_relative_squared_error: 0.1398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9905, kappa: 0.9856, kb_relative_information_score: 5371.4937, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7151, recall: 0.9905, relative_absolute_error: 0.0179, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0615, root_relative_squared_error: 0.1512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9934, kappa: 0.99, kb_relative_information_score: 5398.3115, mean_absolute_error: 0.0037, 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: 0.0113, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0513, root_relative_squared_error: 0.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9925, kappa: 0.9887, kb_relative_information_score: 5390.0731, mean_absolute_error: 0.0044, 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: 0.0131, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0536, root_relative_squared_error: 0.1318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5382.8775, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.015, 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: 0.997, f_measure: 0.9954, kappa: 0.9931, kb_relative_information_score: 5410.94, mean_absolute_error: 0.0025, 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: 0.0074, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0472, root_relative_squared_error: 0.1159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9943, kappa: 0.9914, kb_relative_information_score: 5403.8094, mean_absolute_error: 0.0033, 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: 0.01, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0494, root_relative_squared_error: 0.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9905, kappa: 0.9856, kb_relative_information_score: 5370.6261, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7151, recall: 0.9905, relative_absolute_error: 0.0179, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0614, root_relative_squared_error: 0.1509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.991, kappa: 0.9864, kb_relative_information_score: 5368.8997, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.991, predictive_accuracy: 0.991, prior_entropy: 1.7151, recall: 0.991, relative_absolute_error: 0.0182, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0612, root_relative_squared_error: 0.1504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5383.1594, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.0149, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9932, kappa: 0.9898, kb_relative_information_score: 5394.5396, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9932, predictive_accuracy: 0.9932, prior_entropy: 1.7151, recall: 0.9932, relative_absolute_error: 0.0122, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0541, root_relative_squared_error: 0.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5383.0573, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.0149, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0562, root_relative_squared_error: 0.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9925, kappa: 0.9887, kb_relative_information_score: 5392.8272, mean_absolute_error: 0.0042, 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: 0.0126, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0551, root_relative_squared_error: 0.1354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9905, kappa: 0.9856, kb_relative_information_score: 5369.6173, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7151, recall: 0.9905, relative_absolute_error: 0.0184, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0614, root_relative_squared_error: 0.1509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5392.4595, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.0123, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0544, root_relative_squared_error: 0.1338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.991, kappa: 0.9864, kb_relative_information_score: 5369.6177, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.991, predictive_accuracy: 0.991, prior_entropy: 1.7151, recall: 0.991, relative_absolute_error: 0.018, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0608, root_relative_squared_error: 0.1493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9895, kappa: 0.9842, kb_relative_information_score: 5357.3416, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 1.7151, recall: 0.9896, relative_absolute_error: 0.0213, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0653, root_relative_squared_error: 0.1605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9905, kappa: 0.9856, kb_relative_information_score: 5369.2977, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7151, recall: 0.9905, relative_absolute_error: 0.0183, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0618, root_relative_squared_error: 0.1519,

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