OpenML
Supervised Classification on har

Supervised Classification on har

Task 14970 Supervised Classification har 16704 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_99
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16704 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9889, kappa: 0.9867, kb_relative_information_score: 0.9878, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.989, predictive_accuracy: 0.9889, prior_entropy: 2.5759, recall: 0.9889, relative_absolute_error: 0.0156, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0538, root_relative_squared_error: 0.1446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9889, kappa: 0.9867, kb_relative_information_score: 0.9878, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.989, predictive_accuracy: 0.9889, prior_entropy: 2.5759, recall: 0.9889, relative_absolute_error: 0.0156, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0538, root_relative_squared_error: 0.1446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9889, kappa: 0.9867, kb_relative_information_score: 0.9878, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.989, predictive_accuracy: 0.9889, prior_entropy: 2.5759, recall: 0.9889, relative_absolute_error: 0.0156, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0538, root_relative_squared_error: 0.1446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9769, kappa: 0.9722, kb_relative_information_score: 0.9306, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9769, predictive_accuracy: 0.9769, prior_entropy: 2.5759, recall: 0.9769, relative_absolute_error: 0.1211, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0853, root_relative_squared_error: 0.2291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9769, kappa: 0.9722, kb_relative_information_score: 0.9306, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9769, predictive_accuracy: 0.9769, prior_entropy: 2.5759, recall: 0.9769, relative_absolute_error: 0.1211, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0853, root_relative_squared_error: 0.2291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9912, kb_relative_information_score: 0.9904, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 2.5759, recall: 0.9927, relative_absolute_error: 0.014, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0427, root_relative_squared_error: 0.1147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9912, kb_relative_information_score: 0.9904, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 2.5759, recall: 0.9927, relative_absolute_error: 0.014, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0427, root_relative_squared_error: 0.1147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9946, kappa: 0.9935, kb_relative_information_score: 0.9928, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9946, predictive_accuracy: 0.9946, prior_entropy: 2.5759, recall: 0.9946, relative_absolute_error: 0.0105, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0377, root_relative_squared_error: 0.1012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9912, kb_relative_information_score: 0.9904, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 2.5759, recall: 0.9927, relative_absolute_error: 0.014, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0427, root_relative_squared_error: 0.1147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9946, kappa: 0.9935, kb_relative_information_score: 0.9928, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9946, predictive_accuracy: 0.9946, prior_entropy: 2.5759, recall: 0.9946, relative_absolute_error: 0.0105, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0377, root_relative_squared_error: 0.1012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9946, kappa: 0.9935, kb_relative_information_score: 0.9928, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9946, predictive_accuracy: 0.9946, prior_entropy: 2.5759, recall: 0.9946, relative_absolute_error: 0.0105, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0377, root_relative_squared_error: 0.1012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9769, kappa: 0.9722, kb_relative_information_score: 0.9306, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9769, predictive_accuracy: 0.9769, prior_entropy: 2.5759, recall: 0.9769, relative_absolute_error: 0.1211, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0853, root_relative_squared_error: 0.2291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9889, kappa: 0.9867, kb_relative_information_score: 0.9878, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.989, predictive_accuracy: 0.9889, prior_entropy: 2.5759, recall: 0.9889, relative_absolute_error: 0.0156, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0538, root_relative_squared_error: 0.1446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9769, kappa: 0.9722, kb_relative_information_score: 0.9306, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9769, predictive_accuracy: 0.9769, prior_entropy: 2.5759, recall: 0.9769, relative_absolute_error: 0.1211, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0853, root_relative_squared_error: 0.2291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9931, kappa: 0.9917, kb_relative_information_score: 0.9927, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9931, predictive_accuracy: 0.9931, prior_entropy: 2.5759, recall: 0.9931, relative_absolute_error: 0.0092, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0423, root_relative_squared_error: 0.1136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.5477, kappa: 0.4547, kb_relative_information_score: 0.4991, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.5541, predictive_accuracy: 0.546, prior_entropy: 2.5759, recall: 0.546, relative_absolute_error: 0.5462, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.389, root_relative_squared_error: 1.0452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9951, kappa: 0.9942, kb_relative_information_score: 0.9939, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9951, predictive_accuracy: 0.9951, prior_entropy: 2.5759, recall: 0.9951, relative_absolute_error: 0.008, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0377, root_relative_squared_error: 0.1013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9553, kappa: 0.9463, kb_relative_information_score: 0.9025, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9554, predictive_accuracy: 0.9553, prior_entropy: 2.5759, recall: 0.9553, relative_absolute_error: 0.1622, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.3005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9938, kappa: 0.9925, kb_relative_information_score: 0.9933, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 2.5759, recall: 0.9938, relative_absolute_error: 0.0091, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0386, root_relative_squared_error: 0.1037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9949, kappa: 0.9938, kb_relative_information_score: 0.9943, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 2.5759, recall: 0.9949, relative_absolute_error: 0.0072, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0373, root_relative_squared_error: 0.1003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.992, kappa: 0.9904, kb_relative_information_score: 0.9874, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 2.5759, recall: 0.992, relative_absolute_error: 0.0198, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0457, root_relative_squared_error: 0.1228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9098, kappa: 0.8925, kb_relative_information_score: 0.5393, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9098, predictive_accuracy: 0.9107, prior_entropy: 2.5759, recall: 0.9107, relative_absolute_error: 0.6561, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.6758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9718, kappa: 0.9661, kb_relative_information_score: 0.9436, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9718, predictive_accuracy: 0.9718, prior_entropy: 2.5759, recall: 0.9718, relative_absolute_error: 0.0948, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0881, root_relative_squared_error: 0.2366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9935, kappa: 0.9922, kb_relative_information_score: 0.992, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 2.5759, recall: 0.9935, relative_absolute_error: 0.012, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0389, root_relative_squared_error: 0.1046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9942, kappa: 0.993, kb_relative_information_score: 0.9933, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 2.5759, recall: 0.9942, relative_absolute_error: 0.0085, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0402, root_relative_squared_error: 0.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9944, kappa: 0.9932, kb_relative_information_score: 0.9937, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 2.5759, recall: 0.9944, relative_absolute_error: 0.0087, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0371, root_relative_squared_error: 0.0998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.637, f_measure: 0.3985, kappa: 0.2732, kb_relative_information_score: 0.3316, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.4145, predictive_accuracy: 0.3974, prior_entropy: 2.5759, recall: 0.3974, relative_absolute_error: 0.7249, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.4482, root_relative_squared_error: 1.2041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9947, kappa: 0.9936, kb_relative_information_score: 0.9939, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 2.5759, recall: 0.9947, relative_absolute_error: 0.0082, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0371, root_relative_squared_error: 0.0997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.995, kappa: 0.9939, kb_relative_information_score: 0.9944, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 2.5759, recall: 0.995, relative_absolute_error: 0.0071, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0369, root_relative_squared_error: 0.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9902, kappa: 0.9882, kb_relative_information_score: 0.9898, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9902, predictive_accuracy: 0.9902, prior_entropy: 2.5759, recall: 0.9902, relative_absolute_error: 0.0128, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0496, root_relative_squared_error: 0.1331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9909, kappa: 0.989, kb_relative_information_score: 0.9907, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9909, predictive_accuracy: 0.9909, prior_entropy: 2.5759, recall: 0.9909, relative_absolute_error: 0.0117, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0472, root_relative_squared_error: 0.1267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9925, kappa: 0.991, kb_relative_information_score: 0.9907, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 2.5759, recall: 0.9925, relative_absolute_error: 0.0125, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0452, root_relative_squared_error: 0.1214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: -0.0001, kb_relative_information_score: 0.086, mean_absolute_error: 0.2749, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, predictive_accuracy: 0.1752, prior_entropy: 2.5759, recall: 0.1752, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.5244, root_relative_squared_error: 1.4087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9902, kappa: 0.9882, kb_relative_information_score: 0.9898, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9902, predictive_accuracy: 0.9902, prior_entropy: 2.5759, recall: 0.9902, relative_absolute_error: 0.0128, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0496, root_relative_squared_error: 0.1331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.8407, kappa: 0.8079, kb_relative_information_score: 0.8243, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.8413, predictive_accuracy: 0.8403, prior_entropy: 2.5759, recall: 0.8403, relative_absolute_error: 0.1922, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.6199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9809, kappa: 0.977, kb_relative_information_score: 0.9778, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9809, predictive_accuracy: 0.9809, prior_entropy: 2.5759, recall: 0.9809, relative_absolute_error: 0.029, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0718, root_relative_squared_error: 0.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9722, kappa: 0.9666, kb_relative_information_score: 0.9695, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9722, predictive_accuracy: 0.9722, prior_entropy: 2.5759, recall: 0.9722, relative_absolute_error: 0.0353, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.2399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.163, kappa: 0.0004, kb_relative_information_score: 0.083, mean_absolute_error: 0.2765, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.1691, predictive_accuracy: 0.1704, prior_entropy: 2.5759, recall: 0.1704, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.5259, root_relative_squared_error: 1.4128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9658, kappa: 0.9589, kb_relative_information_score: 0.9331, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9658, predictive_accuracy: 0.9658, prior_entropy: 2.5759, recall: 0.9658, relative_absolute_error: 0.1128, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0952, root_relative_squared_error: 0.2556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9911, kappa: 0.9893, kb_relative_information_score: 0.9897, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9911, predictive_accuracy: 0.9911, prior_entropy: 2.5759, recall: 0.9911, relative_absolute_error: 0.0135, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0486, root_relative_squared_error: 0.1306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9817, kappa: 0.978, kb_relative_information_score: 0.975, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9817, predictive_accuracy: 0.9817, prior_entropy: 2.5759, recall: 0.9817, relative_absolute_error: 0.0384, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0671, root_relative_squared_error: 0.1804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9799, kappa: 0.9758, kb_relative_information_score: 0.9791, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9799, predictive_accuracy: 0.9799, prior_entropy: 2.5759, recall: 0.9799, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0729, root_relative_squared_error: 0.1958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9561, kappa: 0.9474, kb_relative_information_score: 0.9533, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9561, predictive_accuracy: 0.9563, prior_entropy: 2.5759, recall: 0.9563, relative_absolute_error: 0.0559, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.2941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kappa: -0.0001, kb_relative_information_score: 0.0849, mean_absolute_error: 0.2755, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, predictive_accuracy: 0.1734, prior_entropy: 2.5759, recall: 0.1734, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.5249, root_relative_squared_error: 1.4102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9951, kappa: 0.9942, kb_relative_information_score: 0.9949, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9951, predictive_accuracy: 0.9951, prior_entropy: 2.5759, recall: 0.9951, relative_absolute_error: 0.0065, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0352, root_relative_squared_error: 0.0947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8111, f_measure: 0.6843, kappa: 0.6198, kb_relative_information_score: 0.6506, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.6851, predictive_accuracy: 0.6839, prior_entropy: 2.5759, recall: 0.6839, relative_absolute_error: 0.3802, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9953, kappa: 0.9944, kb_relative_information_score: 0.9944, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9953, predictive_accuracy: 0.9953, prior_entropy: 2.5759, recall: 0.9953, relative_absolute_error: 0.0076, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0355, root_relative_squared_error: 0.0953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9714, kappa: 0.9657, kb_relative_information_score: 0.9406, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9714, predictive_accuracy: 0.9715, prior_entropy: 2.5759, recall: 0.9715, relative_absolute_error: 0.1002, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.2422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.992, kappa: 0.9904, kb_relative_information_score: 0.9916, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 2.5759, recall: 0.992, relative_absolute_error: 0.0106, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0454, root_relative_squared_error: 0.1221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9911, kappa: 0.9893, kb_relative_information_score: 0.9864, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9911, predictive_accuracy: 0.9911, prior_entropy: 2.5759, recall: 0.9911, relative_absolute_error: 0.0215, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0475, root_relative_squared_error: 0.1277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: -0.0001, kb_relative_information_score: 0.0759, mean_absolute_error: 0.2799, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, predictive_accuracy: 0.1602, prior_entropy: 2.5759, recall: 0.1602, relative_absolute_error: 1.0102, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.5291, root_relative_squared_error: 1.4214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9945, kappa: 0.9933, kb_relative_information_score: 0.9943, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 2.5759, recall: 0.9945, relative_absolute_error: 0.0073, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0369, root_relative_squared_error: 0.0993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9799, kappa: 0.9758, kb_relative_information_score: 0.9791, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9799, predictive_accuracy: 0.9799, prior_entropy: 2.5759, recall: 0.9799, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0729, root_relative_squared_error: 0.1958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9875, kappa: 0.9849, kb_relative_information_score: 0.986, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9875, predictive_accuracy: 0.9875, prior_entropy: 2.5759, recall: 0.9875, relative_absolute_error: 0.018, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0572, root_relative_squared_error: 0.1536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9858, kappa: 0.9829, kb_relative_information_score: 0.9737, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9858, predictive_accuracy: 0.9858, prior_entropy: 2.5759, recall: 0.9858, relative_absolute_error: 0.0436, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0627, root_relative_squared_error: 0.1684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9945, kappa: 0.9933, kb_relative_information_score: 0.9939, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 2.5759, recall: 0.9945, relative_absolute_error: 0.0078, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0386, root_relative_squared_error: 0.1038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5113, kappa: 0.0224, kb_relative_information_score: 0.1085, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, predictive_accuracy: 0.1983, prior_entropy: 2.5759, recall: 0.1983, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.517, root_relative_squared_error: 1.3888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5113, kappa: 0.0224, kb_relative_information_score: 0.1085, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, predictive_accuracy: 0.1983, prior_entropy: 2.5759, recall: 0.1983, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.517, root_relative_squared_error: 1.3888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9874, kappa: 0.9848, kb_relative_information_score: 0.9771, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9874, predictive_accuracy: 0.9874, prior_entropy: 2.5759, recall: 0.9874, relative_absolute_error: 0.0375, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0574, root_relative_squared_error: 0.1543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9874, kappa: 0.9848, kb_relative_information_score: 0.9771, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9874, predictive_accuracy: 0.9874, prior_entropy: 2.5759, recall: 0.9874, relative_absolute_error: 0.0375, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0574, root_relative_squared_error: 0.1543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1553, kappa: -0, kb_relative_information_score: 0.0817, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.1687, predictive_accuracy: 0.1687, prior_entropy: 2.5759, recall: 0.1687, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.5264, root_relative_squared_error: 1.4143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9933, kappa: 0.9919, kb_relative_information_score: 0.9926, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 2.5759, recall: 0.9933, relative_absolute_error: 0.0093, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0423, root_relative_squared_error: 0.1137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9942, kappa: 0.993, kb_relative_information_score: 0.9936, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 2.5759, recall: 0.9942, relative_absolute_error: 0.0088, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0372, root_relative_squared_error: 0.0999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9546, kappa: 0.9456, kb_relative_information_score: 0.8927, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9546, predictive_accuracy: 0.9548, prior_entropy: 2.5759, recall: 0.9548, relative_absolute_error: 0.1779, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1181, root_relative_squared_error: 0.3173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.977, kappa: 0.9723, kb_relative_information_score: 0.9527, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.977, predictive_accuracy: 0.977, prior_entropy: 2.5759, recall: 0.977, relative_absolute_error: 0.0791, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0814, root_relative_squared_error: 0.2186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9946, kappa: 0.9935, kb_relative_information_score: 0.9941, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9946, predictive_accuracy: 0.9946, prior_entropy: 2.5759, recall: 0.9946, relative_absolute_error: 0.0079, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0367, root_relative_squared_error: 0.0986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9454, kappa: 0.9349, kb_relative_information_score: 0.8809, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9455, predictive_accuracy: 0.9459, prior_entropy: 2.5759, recall: 0.9459, relative_absolute_error: 0.1973, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1274, root_relative_squared_error: 0.3423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9921, kappa: 0.9905, kb_relative_information_score: 0.9914, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9922, predictive_accuracy: 0.9921, prior_entropy: 2.5759, recall: 0.9921, relative_absolute_error: 0.0108, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.046, root_relative_squared_error: 0.1237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.964, kappa: 0.9567, kb_relative_information_score: 0.9295, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.964, predictive_accuracy: 0.964, prior_entropy: 2.5759, recall: 0.964, relative_absolute_error: 0.1184, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0983, root_relative_squared_error: 0.2642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9923, kappa: 0.9908, kb_relative_information_score: 0.9911, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 2.5759, recall: 0.9923, relative_absolute_error: 0.0112, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0462, root_relative_squared_error: 0.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9561, kappa: 0.9474, kb_relative_information_score: 0.9533, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9561, predictive_accuracy: 0.9563, prior_entropy: 2.5759, recall: 0.9563, relative_absolute_error: 0.0559, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.2941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9951, kappa: 0.9942, kb_relative_information_score: 0.9949, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9951, predictive_accuracy: 0.9951, prior_entropy: 2.5759, recall: 0.9951, relative_absolute_error: 0.0065, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0352, root_relative_squared_error: 0.0947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6856, f_measure: 0.4703, kappa: 0.3693, kb_relative_information_score: 0.4196, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.4742, predictive_accuracy: 0.4759, prior_entropy: 2.5759, recall: 0.4759, relative_absolute_error: 0.6305, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.418, root_relative_squared_error: 1.1229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9835, kappa: 0.9801, kb_relative_information_score: 0.9574, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9836, predictive_accuracy: 0.9835, prior_entropy: 2.5759, recall: 0.9835, relative_absolute_error: 0.0731, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0672, root_relative_squared_error: 0.1806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9835, kappa: 0.9801, kb_relative_information_score: 0.9574, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9836, predictive_accuracy: 0.9835, prior_entropy: 2.5759, recall: 0.9835, relative_absolute_error: 0.0731, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0672, root_relative_squared_error: 0.1806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9787, kappa: 0.9744, kb_relative_information_score: 0.9576, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9787, predictive_accuracy: 0.9787, prior_entropy: 2.5759, recall: 0.9787, relative_absolute_error: 0.0709, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0775, root_relative_squared_error: 0.2081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9928, kappa: 0.9914, kb_relative_information_score: 0.992, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9928, predictive_accuracy: 0.9928, prior_entropy: 2.5759, recall: 0.9928, relative_absolute_error: 0.0103, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0434, root_relative_squared_error: 0.1166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9784, kappa: 0.9741, kb_relative_information_score: 0.9763, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9785, predictive_accuracy: 0.9784, prior_entropy: 2.5759, recall: 0.9784, relative_absolute_error: 0.0259, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.2277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9781, kappa: 0.9737, kb_relative_information_score: 0.976, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9782, predictive_accuracy: 0.9782, prior_entropy: 2.5759, recall: 0.9782, relative_absolute_error: 0.0263, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0853, root_relative_squared_error: 0.2293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9767, kappa: 0.972, kb_relative_information_score: 0.9744, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9767, predictive_accuracy: 0.9767, prior_entropy: 2.5759, recall: 0.9767, relative_absolute_error: 0.028, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0881, root_relative_squared_error: 0.2368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9839, kappa: 0.9806, kb_relative_information_score: 0.9823, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9839, predictive_accuracy: 0.9839, prior_entropy: 2.5759, recall: 0.9839, relative_absolute_error: 0.0194, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0733, root_relative_squared_error: 0.1969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9792, kappa: 0.975, kb_relative_information_score: 0.9771, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9792, predictive_accuracy: 0.9792, prior_entropy: 2.5759, recall: 0.9792, relative_absolute_error: 0.025, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.2236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9928, kappa: 0.9914, kb_relative_information_score: 0.992, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9928, predictive_accuracy: 0.9928, prior_entropy: 2.5759, recall: 0.9928, relative_absolute_error: 0.0103, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0434, root_relative_squared_error: 0.1166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9817, kappa: 0.978, kb_relative_information_score: 0.9799, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9818, predictive_accuracy: 0.9817, prior_entropy: 2.5759, recall: 0.9817, relative_absolute_error: 0.022, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.078, root_relative_squared_error: 0.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9782, kappa: 0.9738, kb_relative_information_score: 0.9761, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9782, predictive_accuracy: 0.9783, prior_entropy: 2.5759, recall: 0.9783, relative_absolute_error: 0.0262, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0851, root_relative_squared_error: 0.2288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9835, kappa: 0.9801, kb_relative_information_score: 0.9819, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9835, predictive_accuracy: 0.9835, prior_entropy: 2.5759, recall: 0.9835, relative_absolute_error: 0.0199, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.1993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9928, kappa: 0.9914, kb_relative_information_score: 0.992, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9928, predictive_accuracy: 0.9928, prior_entropy: 2.5759, recall: 0.9928, relative_absolute_error: 0.0103, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0434, root_relative_squared_error: 0.1166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9928, kappa: 0.9914, kb_relative_information_score: 0.992, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9928, predictive_accuracy: 0.9928, prior_entropy: 2.5759, recall: 0.9928, relative_absolute_error: 0.0103, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0434, root_relative_squared_error: 0.1166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9813, kappa: 0.9776, kb_relative_information_score: 0.9795, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9814, predictive_accuracy: 0.9814, prior_entropy: 2.5759, recall: 0.9814, relative_absolute_error: 0.0224, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0788, root_relative_squared_error: 0.2118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9768, kappa: 0.9721, kb_relative_information_score: 0.9745, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9768, predictive_accuracy: 0.9768, prior_entropy: 2.5759, recall: 0.9768, relative_absolute_error: 0.0279, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.088, root_relative_squared_error: 0.2363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9768, kappa: 0.9721, kb_relative_information_score: 0.9745, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9768, predictive_accuracy: 0.9768, prior_entropy: 2.5759, recall: 0.9768, relative_absolute_error: 0.0279, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.088, root_relative_squared_error: 0.2363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9816, kappa: 0.9779, kb_relative_information_score: 0.9798, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9817, predictive_accuracy: 0.9816, prior_entropy: 2.5759, recall: 0.9816, relative_absolute_error: 0.0221, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0782, root_relative_squared_error: 0.2101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9778, kappa: 0.9734, kb_relative_information_score: 0.9756, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9779, predictive_accuracy: 0.9779, prior_entropy: 2.5759, recall: 0.9779, relative_absolute_error: 0.0266, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0859, root_relative_squared_error: 0.2308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9837, kappa: 0.9804, kb_relative_information_score: 0.9821, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9837, predictive_accuracy: 0.9837, prior_entropy: 2.5759, recall: 0.9837, relative_absolute_error: 0.0196, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.1981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9928, kappa: 0.9914, kb_relative_information_score: 0.992, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9928, predictive_accuracy: 0.9928, prior_entropy: 2.5759, recall: 0.9928, relative_absolute_error: 0.0103, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0434, root_relative_squared_error: 0.1166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9928, kappa: 0.9914, kb_relative_information_score: 0.992, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9928, predictive_accuracy: 0.9928, prior_entropy: 2.5759, recall: 0.9928, relative_absolute_error: 0.0103, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0434, root_relative_squared_error: 0.1166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9759, kappa: 0.971, kb_relative_information_score: 0.9735, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9759, predictive_accuracy: 0.9759, prior_entropy: 2.5759, recall: 0.9759, relative_absolute_error: 0.029, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.2407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9919, kappa: 0.9903, kb_relative_information_score: 0.9905, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9919, predictive_accuracy: 0.9919, prior_entropy: 2.5759, recall: 0.9919, relative_absolute_error: 0.0127, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0455, root_relative_squared_error: 0.1222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9918, kappa: 0.9902, kb_relative_information_score: 0.9912, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.9918, predictive_accuracy: 0.9918, prior_entropy: 2.5759, recall: 0.9918, relative_absolute_error: 0.0113, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0452, root_relative_squared_error: 0.1214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.993, kappa: 0.9916, kb_relative_information_score: 0.9894, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.2771, number_of_instances: 10299, precision: 0.993, predictive_accuracy: 0.993, prior_entropy: 2.5759, recall: 0.993, relative_absolute_error: 0.0163, root_mean_prior_squared_error: 0.3722, root_mean_squared_error: 0.0427, root_relative_squared_error: 0.1148,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

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

OpenML APIs