Task
Supervised Classification on wall-robot-navigation

Supervised Classification on wall-robot-navigation

Task 9960 Supervised Classification wall-robot-navigation 20384 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_7 study_98 study_99
Issue #Downvotes for this reason By


Metric:

20384 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9961, kappa: 0.9942, kb_relative_information_score: 5397.1155, mean_absolute_error: 0.0048, 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: 0.0144, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0408, root_relative_squared_error: 0.1003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9934, kappa: 0.99, kb_relative_information_score: 5249.0612, mean_absolute_error: 0.0188, 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: 0.0566, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0671, root_relative_squared_error: 0.1649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.996, kappa: 0.9939, kb_relative_information_score: 5402.4396, mean_absolute_error: 0.0042, 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: 0.0126, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0406, root_relative_squared_error: 0.0997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.996, kappa: 0.9939, kb_relative_information_score: 5401.7655, mean_absolute_error: 0.0041, 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: 0.0123, 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: 0.9995, f_measure: 0.996, kappa: 0.9939, kb_relative_information_score: 5387.2549, mean_absolute_error: 0.0055, 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: 0.0167, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0431, root_relative_squared_error: 0.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9971, kappa: 0.9956, kb_relative_information_score: 5404.3004, mean_absolute_error: 0.0041, 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: 0.0125, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0395, root_relative_squared_error: 0.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9971, kappa: 0.9956, kb_relative_information_score: 5404.3004, mean_absolute_error: 0.0041, 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: 0.0125, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0395, root_relative_squared_error: 0.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.996, kappa: 0.9939, kb_relative_information_score: 5387.2549, mean_absolute_error: 0.0055, 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: 0.0167, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0431, root_relative_squared_error: 0.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.8775, kappa: 0.8148, kb_relative_information_score: 4297.7282, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8783, predictive_accuracy: 0.8785, prior_entropy: 1.7151, recall: 0.8785, relative_absolute_error: 0.2647, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.5141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9043, kappa: 0.8555, kb_relative_information_score: 4236.6287, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9044, predictive_accuracy: 0.9047, prior_entropy: 1.7151, recall: 0.9047, relative_absolute_error: 0.2923, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.5058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.7049, kappa: 0.5619, kb_relative_information_score: 2578.9779, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7163, predictive_accuracy: 0.7091, prior_entropy: 1.7151, recall: 0.7091, relative_absolute_error: 0.6384, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3226, root_relative_squared_error: 0.7927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.7452, kappa: 0.6137, kb_relative_information_score: 2989.0445, mean_absolute_error: 0.1843, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7545, predictive_accuracy: 0.7498, prior_entropy: 1.7151, recall: 0.7498, relative_absolute_error: 0.5564, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.7244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9221, kappa: 0.8823, kb_relative_information_score: 4685.0405, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9222, predictive_accuracy: 0.9223, prior_entropy: 1.7151, recall: 0.9223, relative_absolute_error: 0.1786, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.4242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9037, kappa: 0.8547, kb_relative_information_score: 4225.4777, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9038, predictive_accuracy: 0.9041, prior_entropy: 1.7151, recall: 0.9041, relative_absolute_error: 0.2953, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 0.9276, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7235, f_measure: 0.4969, kappa: 0.2581, kb_relative_information_score: 1142.8736, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.4826, predictive_accuracy: 0.539, prior_entropy: 1.7151, recall: 0.539, relative_absolute_error: 0.8767, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.9424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.8684, kappa: 0.8006, kb_relative_information_score: 4084.5512, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8691, predictive_accuracy: 0.8691, prior_entropy: 1.7151, recall: 0.8691, relative_absolute_error: 0.3215, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.5465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9032, kappa: 0.8539, kb_relative_information_score: 4255.7572, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9033, predictive_accuracy: 0.9036, prior_entropy: 1.7151, recall: 0.9036, relative_absolute_error: 0.2876, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.915, kappa: 0.8714, kb_relative_information_score: 4539.0382, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9152, predictive_accuracy: 0.9151, prior_entropy: 1.7151, recall: 0.9151, relative_absolute_error: 0.2201, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.4437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.6225, kappa: 0.4402, kb_relative_information_score: 2292.9589, mean_absolute_error: 0.2291, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6497, predictive_accuracy: 0.631, prior_entropy: 1.7151, recall: 0.631, relative_absolute_error: 0.6915, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.346, root_relative_squared_error: 0.8502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6522, f_measure: 0.4384, kappa: 0.156, kb_relative_information_score: 680.619, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.424, predictive_accuracy: 0.4791, prior_entropy: 1.7151, recall: 0.4791, relative_absolute_error: 0.9324, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.9841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5809, kappa: 0.0841, kb_relative_information_score: 310.2975, mean_absolute_error: 0.3241, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4481, prior_entropy: 1.7151, recall: 0.4481, relative_absolute_error: 0.9786, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.402, root_relative_squared_error: 0.9878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9236, kappa: 0.8847, kb_relative_information_score: 4478.899, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9237, predictive_accuracy: 0.9238, prior_entropy: 1.7151, recall: 0.9238, relative_absolute_error: 0.2372, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.4482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.6926, kappa: 0.5382, kb_relative_information_score: 2539.4884, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7023, predictive_accuracy: 0.6981, prior_entropy: 1.7151, recall: 0.6981, relative_absolute_error: 0.64, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.7964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.8464, kappa: 0.767, kb_relative_information_score: 3897.5152, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8479, predictive_accuracy: 0.8471, prior_entropy: 1.7151, recall: 0.8471, relative_absolute_error: 0.3644, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2445, root_relative_squared_error: 0.6008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.8927, kappa: 0.8378, kb_relative_information_score: 4247.9109, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.893, predictive_accuracy: 0.893, prior_entropy: 1.7151, recall: 0.893, relative_absolute_error: 0.2892, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.5064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9194, kappa: 0.8781, kb_relative_information_score: 4587.6849, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9195, predictive_accuracy: 0.9195, prior_entropy: 1.7151, recall: 0.9195, relative_absolute_error: 0.2083, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.4331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.7347, kappa: 0.5936, kb_relative_information_score: 2742.7756, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8068, predictive_accuracy: 0.7396, prior_entropy: 1.7151, recall: 0.7396, relative_absolute_error: 0.5383, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.7244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 0.9274, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, f_measure: 0.6841, kappa: 0.5211, kb_relative_information_score: 2520.1694, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6939, predictive_accuracy: 0.6915, prior_entropy: 1.7151, recall: 0.6915, relative_absolute_error: 0.6411, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3245, root_relative_squared_error: 0.7974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.8101, kappa: 0.7136, kb_relative_information_score: 3629.7533, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8112, predictive_accuracy: 0.8123, prior_entropy: 1.7151, recall: 0.8123, relative_absolute_error: 0.413, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.6371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.6905, kappa: 0.5335, kb_relative_information_score: 2535.7686, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6965, predictive_accuracy: 0.6959, prior_entropy: 1.7151, recall: 0.6959, relative_absolute_error: 0.6383, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.7964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9023, f_measure: 0.7125, kappa: 0.5603, kb_relative_information_score: 2560.6421, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8017, predictive_accuracy: 0.7188, prior_entropy: 1.7151, recall: 0.7188, relative_absolute_error: 0.5704, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3037, root_relative_squared_error: 0.7463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.7002, kappa: 0.5478, kb_relative_information_score: 2637.5949, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7053, predictive_accuracy: 0.7056, prior_entropy: 1.7151, recall: 0.7056, relative_absolute_error: 0.6185, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.318, root_relative_squared_error: 0.7814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5363, f_measure: 0.3683, kappa: 0.0383, kb_relative_information_score: 344.8141, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.3406, predictive_accuracy: 0.4117, prior_entropy: 1.7151, recall: 0.4117, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4173, root_relative_squared_error: 1.0254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.6959, kappa: 0.5395, kb_relative_information_score: 2623.3359, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.705, predictive_accuracy: 0.7031, prior_entropy: 1.7151, recall: 0.7031, relative_absolute_error: 0.6205, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.7826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.7263, kappa: 0.5862, kb_relative_information_score: 2873.5385, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.736, predictive_accuracy: 0.733, prior_entropy: 1.7151, recall: 0.733, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.7438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.8913, kappa: 0.8356, kb_relative_information_score: 4181.4156, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8914, predictive_accuracy: 0.8917, prior_entropy: 1.7151, recall: 0.8917, relative_absolute_error: 0.3028, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.5295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.8271, kappa: 0.7379, kb_relative_information_score: 3652.8914, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8287, predictive_accuracy: 0.8286, prior_entropy: 1.7151, recall: 0.8286, relative_absolute_error: 0.4177, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.6214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6217, f_measure: 0.4161, kappa: 0.1232, kb_relative_information_score: 569.4271, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.4038, predictive_accuracy: 0.4657, prior_entropy: 1.7151, recall: 0.4657, relative_absolute_error: 0.9572, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.9899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9296, kappa: 0.8935, kb_relative_information_score: 4588.4343, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9296, predictive_accuracy: 0.9296, prior_entropy: 1.7151, recall: 0.9296, relative_absolute_error: 0.2115, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.4223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 0.9276, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.756, kappa: 0.6234, kb_relative_information_score: 2301.8591, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7692, predictive_accuracy: 0.7555, prior_entropy: 1.7151, recall: 0.7555, relative_absolute_error: 0.6894, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.8021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9949, kappa: 0.9922, kb_relative_information_score: 5408.4632, mean_absolute_error: 0.0026, 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: 0.0077, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0507, root_relative_squared_error: 0.1245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5242.9857, mean_absolute_error: 0.0192, 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: 0.0579, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0711, root_relative_squared_error: 0.1748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, kappa: 0.1013, kb_relative_information_score: 281.7961, mean_absolute_error: 0.3259, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4547, prior_entropy: 1.7151, recall: 0.4547, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.9867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9949, kappa: 0.9923, kb_relative_information_score: 5412.1159, mean_absolute_error: 0.0026, 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: 0.0077, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0507, root_relative_squared_error: 0.1245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9071, kappa: 0.8595, kb_relative_information_score: 4531.8891, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9073, predictive_accuracy: 0.9074, prior_entropy: 1.7151, recall: 0.9074, relative_absolute_error: 0.2113, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.4648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9764, kappa: 0.9651, kb_relative_information_score: 652.7737, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9781, predictive_accuracy: 0.9771, prior_entropy: 1.7151, recall: 0.9771, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.9374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.6694, kappa: 0.5013, kb_relative_information_score: 2468.5418, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6766, predictive_accuracy: 0.6818, prior_entropy: 1.7151, recall: 0.6818, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.324, root_relative_squared_error: 0.7961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.745, f_measure: 0.5273, kappa: 0.2871, kb_relative_information_score: 1360.0044, mean_absolute_error: 0.2823, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.532, predictive_accuracy: 0.5504, prior_entropy: 1.7151, recall: 0.5504, relative_absolute_error: 0.8521, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8197, kappa: 0.7281, kb_relative_information_score: 3554.7013, mean_absolute_error: 0.1465, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8199, predictive_accuracy: 0.8198, prior_entropy: 1.7151, recall: 0.8198, relative_absolute_error: 0.4423, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2672, root_relative_squared_error: 0.6566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9084, kappa: 0.8615, kb_relative_information_score: 4463.9535, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9085, predictive_accuracy: 0.9085, prior_entropy: 1.7151, recall: 0.9085, relative_absolute_error: 0.2383, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.4635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6327, f_measure: 0.4361, kappa: 0.1644, kb_relative_information_score: 512.7182, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.5457, predictive_accuracy: 0.4919, prior_entropy: 1.7151, recall: 0.4919, relative_absolute_error: 0.9572, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.9831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 0.9276, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.92, kappa: 0.879, kb_relative_information_score: 4674.6692, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.92, predictive_accuracy: 0.9201, prior_entropy: 1.7151, recall: 0.9201, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.4293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 0.9276, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7277, f_measure: 0.4995, kappa: 0.2551, kb_relative_information_score: 1143.1278, mean_absolute_error: 0.2912, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.4994, predictive_accuracy: 0.5363, prior_entropy: 1.7151, recall: 0.5363, relative_absolute_error: 0.8792, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.9424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.916, kappa: 0.873, kb_relative_information_score: 4504.1134, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.916, predictive_accuracy: 0.9161, prior_entropy: 1.7151, recall: 0.9161, relative_absolute_error: 0.2285, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.4529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.7158, kappa: 0.5706, kb_relative_information_score: 2808.4832, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7228, predictive_accuracy: 0.7221, prior_entropy: 1.7151, recall: 0.7221, relative_absolute_error: 0.5846, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.308, root_relative_squared_error: 0.7569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5886, f_measure: 0.4065, kappa: 0.1102, kb_relative_information_score: 373.4956, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.3743, predictive_accuracy: 0.4569, prior_entropy: 1.7151, recall: 0.4569, relative_absolute_error: 0.9694, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.9964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.8992, kappa: 0.8478, kb_relative_information_score: 4175.7612, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8993, predictive_accuracy: 0.8996, prior_entropy: 1.7151, recall: 0.8996, relative_absolute_error: 0.308, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.5155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9292, kappa: 0.893, kb_relative_information_score: 4636.3237, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9292, predictive_accuracy: 0.9293, prior_entropy: 1.7151, recall: 0.9293, relative_absolute_error: 0.1991, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.4106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.8849, kappa: 0.8258, kb_relative_information_score: 4196.8083, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8851, predictive_accuracy: 0.8851, prior_entropy: 1.7151, recall: 0.8851, relative_absolute_error: 0.2998, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.5215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.7092, kappa: 0.5587, kb_relative_information_score: 2734.1809, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7191, predictive_accuracy: 0.7148, prior_entropy: 1.7151, recall: 0.7148, relative_absolute_error: 0.605, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.7654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.5863, kappa: 0.3728, kb_relative_information_score: 1760.6633, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.5944, predictive_accuracy: 0.6004, prior_entropy: 1.7151, recall: 0.6004, relative_absolute_error: 0.7843, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.8898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9018, kappa: 0.8515, kb_relative_information_score: 4304.2265, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9018, predictive_accuracy: 0.9018, prior_entropy: 1.7151, recall: 0.9018, relative_absolute_error: 0.277, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.204, root_relative_squared_error: 0.5013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9299, kappa: 0.8941, kb_relative_information_score: 4640.6502, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.93, predictive_accuracy: 0.93, prior_entropy: 1.7151, recall: 0.93, relative_absolute_error: 0.1991, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.4082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.7346, kappa: 0.5997, kb_relative_information_score: 2963.0213, mean_absolute_error: 0.1847, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7426, predictive_accuracy: 0.741, prior_entropy: 1.7151, recall: 0.741, relative_absolute_error: 0.5576, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.298, root_relative_squared_error: 0.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9248, kappa: 0.8864, kb_relative_information_score: 4558.6386, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9249, predictive_accuracy: 0.9249, prior_entropy: 1.7151, recall: 0.9249, relative_absolute_error: 0.2189, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.175, root_relative_squared_error: 0.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.8583, kappa: 0.7852, kb_relative_information_score: 3895.5343, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8587, predictive_accuracy: 0.8587, prior_entropy: 1.7151, recall: 0.8587, relative_absolute_error: 0.3692, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.5753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9309, kappa: 0.8955, kb_relative_information_score: 4740.9282, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9309, predictive_accuracy: 0.9309, prior_entropy: 1.7151, recall: 0.9309, relative_absolute_error: 0.17, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.3983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9309, kappa: 0.8955, kb_relative_information_score: 4667.6277, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9309, predictive_accuracy: 0.9309, prior_entropy: 1.7151, recall: 0.9309, relative_absolute_error: 0.1901, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.8146, kappa: 0.7196, kb_relative_information_score: 3563.3344, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8145, predictive_accuracy: 0.8154, prior_entropy: 1.7151, recall: 0.8154, relative_absolute_error: 0.4355, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.6523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8137, f_measure: 0.6269, kappa: 0.4297, kb_relative_information_score: 2019.0169, mean_absolute_error: 0.2462, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6364, predictive_accuracy: 0.6327, prior_entropy: 1.7151, recall: 0.6327, relative_absolute_error: 0.7433, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.7252, kappa: 0.5783, kb_relative_information_score: 2647.6836, mean_absolute_error: 0.1847, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8055, predictive_accuracy: 0.7297, prior_entropy: 1.7151, recall: 0.7297, relative_absolute_error: 0.5575, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3, root_relative_squared_error: 0.7371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7438, f_measure: 0.5136, kappa: 0.2866, kb_relative_information_score: 1391.5329, mean_absolute_error: 0.2863, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.5371, predictive_accuracy: 0.5354, prior_entropy: 1.7151, recall: 0.5354, relative_absolute_error: 0.8644, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.9404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.8636, kappa: 0.7944, kb_relative_information_score: 3968.2213, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8637, predictive_accuracy: 0.8636, prior_entropy: 1.7151, recall: 0.8636, relative_absolute_error: 0.352, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.5812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.8855, kappa: 0.8266, kb_relative_information_score: 4184.2703, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8856, predictive_accuracy: 0.8856, prior_entropy: 1.7151, recall: 0.8856, relative_absolute_error: 0.3009, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.5244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 0.9276, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.8981, kappa: 0.8461, kb_relative_information_score: 4135.2063, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8981, predictive_accuracy: 0.8985, prior_entropy: 1.7151, recall: 0.8985, relative_absolute_error: 0.3171, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.7189, kappa: 0.5727, kb_relative_information_score: 2786.7672, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.729, predictive_accuracy: 0.7234, prior_entropy: 1.7151, recall: 0.7234, relative_absolute_error: 0.5975, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.7559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9242, kappa: 0.8855, kb_relative_information_score: 4576.1298, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9243, predictive_accuracy: 0.9243, prior_entropy: 1.7151, recall: 0.9243, relative_absolute_error: 0.2128, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.175, root_relative_squared_error: 0.4301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.6157, kappa: 0.4375, kb_relative_information_score: 1555.1494, mean_absolute_error: 0.2853, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6348, predictive_accuracy: 0.6138, prior_entropy: 1.7151, recall: 0.6138, relative_absolute_error: 0.8613, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8194, kappa: 0.7269, kb_relative_information_score: 3600.4738, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8213, predictive_accuracy: 0.8215, prior_entropy: 1.7151, recall: 0.8215, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2578, root_relative_squared_error: 0.6334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.6827, kappa: 0.5206, kb_relative_information_score: 2482.1767, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6891, predictive_accuracy: 0.6888, prior_entropy: 1.7151, recall: 0.6888, relative_absolute_error: 0.646, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.8012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.796, kappa: 0.6927, kb_relative_information_score: 3441.6724, mean_absolute_error: 0.1526, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7993, predictive_accuracy: 0.7999, prior_entropy: 1.7151, recall: 0.7999, relative_absolute_error: 0.4608, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2688, root_relative_squared_error: 0.6605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6206, kappa: 0.1385, kb_relative_information_score: 445.3455, mean_absolute_error: 0.3216, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4778, prior_entropy: 1.7151, recall: 0.4778, relative_absolute_error: 0.9711, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.9836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 0.9276, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.7199, kappa: 0.5763, kb_relative_information_score: 2825.6678, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7299, predictive_accuracy: 0.7264, prior_entropy: 1.7151, recall: 0.7264, relative_absolute_error: 0.5858, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.306, root_relative_squared_error: 0.7519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 0.9276, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.7323, kappa: 0.5953, kb_relative_information_score: 2929.5461, mean_absolute_error: 0.1872, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.732, predictive_accuracy: 0.7359, prior_entropy: 1.7151, recall: 0.7359, relative_absolute_error: 0.5651, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.7516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9245, kappa: 0.8857, kb_relative_information_score: 4533.9691, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9245, predictive_accuracy: 0.9245, prior_entropy: 1.7151, recall: 0.9245, relative_absolute_error: 0.2244, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.4359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.931, kappa: 0.8957, kb_relative_information_score: 4753.1016, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9311, predictive_accuracy: 0.9311, prior_entropy: 1.7151, recall: 0.9311, relative_absolute_error: 0.1671, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1598, root_relative_squared_error: 0.3927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8106, f_measure: 0.6128, kappa: 0.4298, kb_relative_information_score: 1965.715, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6315, predictive_accuracy: 0.6166, prior_entropy: 1.7151, recall: 0.6166, relative_absolute_error: 0.7739, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.358, root_relative_squared_error: 0.8796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9287, kappa: 0.8922, kb_relative_information_score: 4687.1547, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9287, predictive_accuracy: 0.9287, prior_entropy: 1.7151, recall: 0.9287, relative_absolute_error: 0.1837, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.4087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.7646, kappa: 0.6378, kb_relative_information_score: 3014.3076, mean_absolute_error: 0.1623, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8172, predictive_accuracy: 0.7665, prior_entropy: 1.7151, recall: 0.7665, relative_absolute_error: 0.49, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2822, root_relative_squared_error: 0.6936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.7017, kappa: 0.5469, kb_relative_information_score: 2656.4562, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7117, predictive_accuracy: 0.7071, prior_entropy: 1.7151, recall: 0.7071, relative_absolute_error: 0.6209, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3159, root_relative_squared_error: 0.7764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5682, f_measure: 0.3866, kappa: 0.071, kb_relative_information_score: 461.9796, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.3632, predictive_accuracy: 0.432, prior_entropy: 1.7151, recall: 0.432, relative_absolute_error: 0.9711, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4141, root_relative_squared_error: 1.0175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5298, kappa: 0.0398, kb_relative_information_score: 138.2139, mean_absolute_error: 0.3294, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4217, prior_entropy: 1.7151, recall: 0.4217, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.406, root_relative_squared_error: 0.9976,

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

OpenML bootcamp

From your own software

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

OpenML APIs