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Supervised Classification on fri_c0_250_5

Supervised Classification on fri_c0_250_5

Task 3642 Supervised Classification fri_c0_250_5 640 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.876, kappa: 0.752, kb_relative_information_score: 188, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8762, predictive_accuracy: 0.876, prior_entropy: 1, recall: 0.876, relative_absolute_error: 0.248, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.7043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.784, kappa: 0.568, kb_relative_information_score: 127.1708, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.784, predictive_accuracy: 0.784, prior_entropy: 1, recall: 0.784, relative_absolute_error: 0.5073, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8573, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.8279, kappa: 0.656, kb_relative_information_score: 152.6042, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8285, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.4041, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.7768, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.812, kappa: 0.624, kb_relative_information_score: 132.4312, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.812, predictive_accuracy: 0.812, prior_entropy: 1, recall: 0.812, relative_absolute_error: 0.4931, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7025, scimark_benchmark: 1838.8826, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8599, kappa: 0.72, kb_relative_information_score: 137.7858, mean_absolute_error: 0.2418, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8606, predictive_accuracy: 0.86, prior_entropy: 1, recall: 0.86, relative_absolute_error: 0.4836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.651, scimark_benchmark: 1838.8826, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.8, kappa: 0.6, kb_relative_information_score: 149.0446, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.4053, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4453, root_relative_squared_error: 0.8905, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.828, kappa: 0.656, kb_relative_information_score: 162.9555, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8282, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.3498, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.8258, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.8118, kappa: 0.624, kb_relative_information_score: 103.5346, mean_absolute_error: 0.3123, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8136, predictive_accuracy: 0.812, prior_entropy: 1, recall: 0.812, relative_absolute_error: 0.6246, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.7404, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.8439, kappa: 0.688, kb_relative_information_score: 112.615, mean_absolute_error: 0.2965, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8451, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.593, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.35, root_relative_squared_error: 0.6999, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.48, kappa: -0.04, kb_relative_information_score: -0.0634, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.48, predictive_accuracy: 0.48, prior_entropy: 1, recall: 0.48, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.88, kappa: 0.76, kb_relative_information_score: 190, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8801, predictive_accuracy: 0.88, prior_entropy: 1, recall: 0.88, relative_absolute_error: 0.24, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.6928, usercpu_time_millis: 351.714, usercpu_time_millis_testing: 3.282, usercpu_time_millis_training: 348.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.784, kappa: 0.568, kb_relative_information_score: 142, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7841, predictive_accuracy: 0.784, prior_entropy: 1, recall: 0.784, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9295, usercpu_time_millis: 172.245, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 172.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.828, kappa: 0.656, kb_relative_information_score: 164, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.828, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.344, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8295, usercpu_time_millis: 0.473, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.748, f_measure: 0.7462, kappa: 0.496, kb_relative_information_score: 124, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7552, predictive_accuracy: 0.748, prior_entropy: 1, recall: 0.748, relative_absolute_error: 0.504, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.502, root_relative_squared_error: 1.004, usercpu_time_millis: 8.535, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 8.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.8279, kappa: 0.656, kb_relative_information_score: 164, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8285, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.344, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8295, usercpu_time_millis: 2.603, usercpu_time_millis_testing: 0.392, usercpu_time_millis_training: 2.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.796, kappa: 0.592, kb_relative_information_score: 148, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7962, predictive_accuracy: 0.796, prior_entropy: 1, recall: 0.796, relative_absolute_error: 0.408, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9033, usercpu_time_millis: 0.104, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.868, kappa: 0.736, kb_relative_information_score: 184, mean_absolute_error: 0.132, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.868, predictive_accuracy: 0.868, prior_entropy: 1, recall: 0.868, relative_absolute_error: 0.264, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7266, usercpu_time_millis: 0.252, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.8759, kappa: 0.752, kb_relative_information_score: 188, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8772, predictive_accuracy: 0.876, prior_entropy: 1, recall: 0.876, relative_absolute_error: 0.248, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.7043, usercpu_time_millis: 10.904, usercpu_time_millis_testing: 1.97, usercpu_time_millis_training: 8.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.812, kappa: 0.624, kb_relative_information_score: 156, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.812, predictive_accuracy: 0.812, prior_entropy: 1, recall: 0.812, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8672, usercpu_time_millis: 0.162, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.812, kappa: 0.624, kb_relative_information_score: 156, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.812, predictive_accuracy: 0.812, prior_entropy: 1, recall: 0.812, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8672, usercpu_time_millis: 0.198, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.576, f_measure: 0.5738, kappa: 0.152, kb_relative_information_score: 38, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.5776, predictive_accuracy: 0.576, prior_entropy: 1, recall: 0.576, relative_absolute_error: 0.848, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6512, root_relative_squared_error: 1.3023, usercpu_time_millis: 0.114, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.848, kappa: 0.696, kb_relative_information_score: 174, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8484, predictive_accuracy: 0.848, prior_entropy: 1, recall: 0.848, relative_absolute_error: 0.304, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7797, usercpu_time_millis: 4.673, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 4.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.8639, kappa: 0.728, kb_relative_information_score: 182, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8655, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.272, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7376, usercpu_time_millis: 1.794, usercpu_time_millis_testing: 0.192, usercpu_time_millis_training: 1.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.872, f_measure: 0.872, kappa: 0.744, kb_relative_information_score: 186, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8721, predictive_accuracy: 0.872, prior_entropy: 1, recall: 0.872, relative_absolute_error: 0.256, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7155, usercpu_time_millis: 2.272, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 2.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.808, kappa: 0.616, kb_relative_information_score: 154, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8081, predictive_accuracy: 0.808, prior_entropy: 1, recall: 0.808, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8764, usercpu_time_millis: 0.667, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 0.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.852, kappa: 0.704, kb_relative_information_score: 176, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8522, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.296, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7694, usercpu_time_millis: 0.14, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.8078, kappa: 0.616, kb_relative_information_score: 154, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8093, predictive_accuracy: 0.808, prior_entropy: 1, recall: 0.808, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8764, usercpu_time_millis: 14.011, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 13.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.8, kappa: 0.6, kb_relative_information_score: 150, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.4, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8944, usercpu_time_millis: 0.142, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.7838, kappa: 0.568, kb_relative_information_score: 142, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7852, predictive_accuracy: 0.784, prior_entropy: 1, recall: 0.784, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9295, usercpu_time_millis: 0.591, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.804, kappa: 0.608, kb_relative_information_score: 152, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8042, predictive_accuracy: 0.804, prior_entropy: 1, recall: 0.804, relative_absolute_error: 0.392, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8854, usercpu_time_millis: 0.096, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.8239, kappa: 0.648, kb_relative_information_score: 162, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8247, predictive_accuracy: 0.824, prior_entropy: 1, recall: 0.824, relative_absolute_error: 0.352, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.839, usercpu_time_millis: 1.749, usercpu_time_millis_testing: 0.644, usercpu_time_millis_training: 1.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.58, f_measure: 0.5792, kappa: 0.16, kb_relative_information_score: 40, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.5806, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.2961, usercpu_time_millis: 1.197, usercpu_time_millis_testing: 0.428, usercpu_time_millis_training: 0.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.8439, kappa: 0.688, kb_relative_information_score: 172, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8451, predictive_accuracy: 0.844, prior_entropy: 1, recall: 0.844, relative_absolute_error: 0.312, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7899, usercpu_time_millis: 0.273, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 0.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.8159, kappa: 0.632, kb_relative_information_score: 158, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8167, predictive_accuracy: 0.816, prior_entropy: 1, recall: 0.816, relative_absolute_error: 0.368, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8579, usercpu_time_millis: 0.27, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.516, f_measure: 0.5119, kappa: 0.032, kb_relative_information_score: 8, mean_absolute_error: 0.484, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.5166, predictive_accuracy: 0.516, prior_entropy: 1, recall: 0.516, relative_absolute_error: 0.968, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6957, root_relative_squared_error: 1.3914, usercpu_time_millis: 0.118, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.8359, kappa: 0.672, kb_relative_information_score: 168, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8365, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.328, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8099, usercpu_time_millis: 4.635, usercpu_time_millis_testing: 0.391, usercpu_time_millis_training: 4.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.808, kappa: 0.616, kb_relative_information_score: 154, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8081, predictive_accuracy: 0.808, prior_entropy: 1, recall: 0.808, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8764, usercpu_time_millis: 0.452, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.804, kappa: 0.608, kb_relative_information_score: 152, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8042, predictive_accuracy: 0.804, prior_entropy: 1, recall: 0.804, relative_absolute_error: 0.392, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8854, usercpu_time_millis: 0.134, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.832, kappa: 0.664, kb_relative_information_score: 166, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8321, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8198, usercpu_time_millis: 0.719, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 0.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.804, kappa: 0.608, kb_relative_information_score: 152, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8042, predictive_accuracy: 0.804, prior_entropy: 1, recall: 0.804, relative_absolute_error: 0.392, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8854, usercpu_time_millis: 0.079, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.808, kappa: 0.616, kb_relative_information_score: 154, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8081, predictive_accuracy: 0.808, prior_entropy: 1, recall: 0.808, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8764, usercpu_time_millis: 0.031, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 0.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.864, kappa: 0.728, kb_relative_information_score: 182, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8644, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.272, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7376, usercpu_time_millis: 0.107, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 0.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.8679, kappa: 0.736, kb_relative_information_score: 184, mean_absolute_error: 0.132, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8686, predictive_accuracy: 0.868, prior_entropy: 1, recall: 0.868, relative_absolute_error: 0.264, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7266, usercpu_time_millis: 0.218, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.8, kappa: 0.6, kb_relative_information_score: 150, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.4, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8944, usercpu_time_millis: 0.119, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.808, kappa: 0.616, kb_relative_information_score: 154, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8081, predictive_accuracy: 0.808, prior_entropy: 1, recall: 0.808, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8764, usercpu_time_millis: 0.05, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.788, f_measure: 0.788, kappa: 0.576, kb_relative_information_score: 144, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.788, predictive_accuracy: 0.788, prior_entropy: 1, recall: 0.788, relative_absolute_error: 0.424, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9209, usercpu_time_millis: 1.666, usercpu_time_millis_testing: 0.56, usercpu_time_millis_training: 1.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.8279, kappa: 0.656, kb_relative_information_score: 164, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8285, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.344, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8295, usercpu_time_millis: 1.431, usercpu_time_millis_testing: 0.528, usercpu_time_millis_training: 0.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.8, kappa: 0.6, kb_relative_information_score: 150, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.4, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8944, usercpu_time_millis: 0.144, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.872, f_measure: 0.872, kappa: 0.744, kb_relative_information_score: 186, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.872, predictive_accuracy: 0.872, prior_entropy: 1, recall: 0.872, relative_absolute_error: 0.256, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7155, usercpu_time_millis: 42.984, usercpu_time_millis_testing: 2.812, usercpu_time_millis_training: 40.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.828, kappa: 0.656, kb_relative_information_score: 164, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8282, predictive_accuracy: 0.828, prior_entropy: 1, recall: 0.828, relative_absolute_error: 0.344, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8295, usercpu_time_millis: 1.821, usercpu_time_millis_testing: 0.657, usercpu_time_millis_training: 1.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.808, kappa: 0.616, kb_relative_information_score: 154, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8081, predictive_accuracy: 0.808, prior_entropy: 1, recall: 0.808, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8764, usercpu_time_millis: 0.403, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 0.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.8, kappa: 0.6, kb_relative_information_score: 150, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8001, predictive_accuracy: 0.8, prior_entropy: 1, recall: 0.8, relative_absolute_error: 0.4, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.8944, usercpu_time_millis: 1.499, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 1.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.832, kappa: 0.664, kb_relative_information_score: 166, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8321, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8198, usercpu_time_millis: 12.496, usercpu_time_millis_testing: 1.119, usercpu_time_millis_training: 11.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.864, kappa: 0.728, kb_relative_information_score: 182, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8644, predictive_accuracy: 0.864, prior_entropy: 1, recall: 0.864, relative_absolute_error: 0.272, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7376, usercpu_time_millis: 1.054, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 0.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.748, f_measure: 0.7475, kappa: 0.496, kb_relative_information_score: 124, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7499, predictive_accuracy: 0.748, prior_entropy: 1, recall: 0.748, relative_absolute_error: 0.504, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.502, root_relative_squared_error: 1.004, usercpu_time_millis: 0.274, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, f_measure: 0.7778, kappa: 0.56, kb_relative_information_score: 140, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7917, predictive_accuracy: 0.78, prior_entropy: 1, recall: 0.78, relative_absolute_error: 0.44, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9381, usercpu_time_millis: 0.135, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.756, f_measure: 0.7557, kappa: 0.512, kb_relative_information_score: 128, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7573, predictive_accuracy: 0.756, prior_entropy: 1, recall: 0.756, relative_absolute_error: 0.488, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9879, usercpu_time_millis: 0.443, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.812, kappa: 0.624, kb_relative_information_score: 156, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.812, predictive_accuracy: 0.812, prior_entropy: 1, recall: 0.812, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8672, usercpu_time_millis: 1.229, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 1.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.804, kappa: 0.608, kb_relative_information_score: 152, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8042, predictive_accuracy: 0.804, prior_entropy: 1, recall: 0.804, relative_absolute_error: 0.392, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8854, usercpu_time_millis: 0.165, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.836, kappa: 0.672, kb_relative_information_score: 168, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.836, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.328, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8099, usercpu_time_millis: 0.403, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.8359, kappa: 0.672, kb_relative_information_score: 168, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8365, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.328, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8099, usercpu_time_millis: 1.59, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 1.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.876, kappa: 0.752, kb_relative_information_score: 188, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8766, predictive_accuracy: 0.876, prior_entropy: 1, recall: 0.876, relative_absolute_error: 0.248, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.7043, usercpu_time_millis: 11.158, usercpu_time_millis_testing: 1.537, usercpu_time_millis_training: 9.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.832, kappa: 0.664, kb_relative_information_score: 118.3274, mean_absolute_error: 0.2793, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8321, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.5586, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.88, kappa: 0.76, kb_relative_information_score: 106.3436, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8801, predictive_accuracy: 0.88, prior_entropy: 1, recall: 0.88, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.7021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.7778, kappa: 0.56, kb_relative_information_score: 58.3106, mean_absolute_error: 0.4052, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7917, predictive_accuracy: 0.78, prior_entropy: 1, recall: 0.78, relative_absolute_error: 0.8104, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.8451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.804, kappa: 0.608, kb_relative_information_score: 120.3793, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8042, predictive_accuracy: 0.804, prior_entropy: 1, recall: 0.804, relative_absolute_error: 0.5456, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.804, kappa: 0.608, kb_relative_information_score: 120.3793, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8042, predictive_accuracy: 0.804, prior_entropy: 1, recall: 0.804, relative_absolute_error: 0.5456, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.8359, kappa: 0.672, kb_relative_information_score: 144.3835, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8365, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.4472, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.6875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.876, kappa: 0.752, kb_relative_information_score: 150.1657, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8766, predictive_accuracy: 0.876, prior_entropy: 1, recall: 0.876, relative_absolute_error: 0.4289, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.88, kappa: 0.76, kb_relative_information_score: 106.3436, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8801, predictive_accuracy: 0.88, prior_entropy: 1, recall: 0.88, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.7021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.88, kappa: 0.76, kb_relative_information_score: 106.3436, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8801, predictive_accuracy: 0.88, prior_entropy: 1, recall: 0.88, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.7021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.832, kappa: 0.664, kb_relative_information_score: 118.3274, mean_absolute_error: 0.2793, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8321, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.5586, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.804, kappa: 0.608, kb_relative_information_score: 120.3793, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8042, predictive_accuracy: 0.804, prior_entropy: 1, recall: 0.804, relative_absolute_error: 0.5456, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.8359, kappa: 0.672, kb_relative_information_score: 144.3835, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8365, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.4472, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.6875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.8359, kappa: 0.672, kb_relative_information_score: 144.3835, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8365, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.4472, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.6875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.8359, kappa: 0.672, kb_relative_information_score: 144.3835, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8365, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.4472, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.6875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.876, kappa: 0.752, kb_relative_information_score: 150.1657, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8766, predictive_accuracy: 0.876, prior_entropy: 1, recall: 0.876, relative_absolute_error: 0.4289, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.876, kappa: 0.752, kb_relative_information_score: 150.1657, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8766, predictive_accuracy: 0.876, prior_entropy: 1, recall: 0.876, relative_absolute_error: 0.4289, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.7778, kappa: 0.56, kb_relative_information_score: 58.3106, mean_absolute_error: 0.4052, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7917, predictive_accuracy: 0.78, prior_entropy: 1, recall: 0.78, relative_absolute_error: 0.8104, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.8451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.7557, kappa: 0.512, kb_relative_information_score: 98.4372, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7573, predictive_accuracy: 0.756, prior_entropy: 1, recall: 0.756, relative_absolute_error: 0.6338, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.7557, kappa: 0.512, kb_relative_information_score: 98.4372, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7573, predictive_accuracy: 0.756, prior_entropy: 1, recall: 0.756, relative_absolute_error: 0.6338, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.832, kappa: 0.664, kb_relative_information_score: 118.3274, mean_absolute_error: 0.2793, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8321, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.5586, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.7557, kappa: 0.512, kb_relative_information_score: 98.4372, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7573, predictive_accuracy: 0.756, prior_entropy: 1, recall: 0.756, relative_absolute_error: 0.6338, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.88, kappa: 0.76, kb_relative_information_score: 106.3436, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8801, predictive_accuracy: 0.88, prior_entropy: 1, recall: 0.88, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.7021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.88, kappa: 0.76, kb_relative_information_score: 106.3436, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8801, predictive_accuracy: 0.88, prior_entropy: 1, recall: 0.88, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.7021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.7778, kappa: 0.56, kb_relative_information_score: 58.3106, mean_absolute_error: 0.4052, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7917, predictive_accuracy: 0.78, prior_entropy: 1, recall: 0.78, relative_absolute_error: 0.8104, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.8451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.7778, kappa: 0.56, kb_relative_information_score: 58.3106, mean_absolute_error: 0.4052, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7917, predictive_accuracy: 0.78, prior_entropy: 1, recall: 0.78, relative_absolute_error: 0.8104, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.8451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.804, kappa: 0.608, kb_relative_information_score: 120.3793, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8042, predictive_accuracy: 0.804, prior_entropy: 1, recall: 0.804, relative_absolute_error: 0.5456, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.804, kappa: 0.608, kb_relative_information_score: 120.3793, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8042, predictive_accuracy: 0.804, prior_entropy: 1, recall: 0.804, relative_absolute_error: 0.5456, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.876, kappa: 0.752, kb_relative_information_score: 150.1657, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8766, predictive_accuracy: 0.876, prior_entropy: 1, recall: 0.876, relative_absolute_error: 0.4289, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.88, kappa: 0.76, kb_relative_information_score: 106.3436, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8801, predictive_accuracy: 0.88, prior_entropy: 1, recall: 0.88, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.7021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.8359, kappa: 0.672, kb_relative_information_score: 144.3835, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8365, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.4472, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.6875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.7557, kappa: 0.512, kb_relative_information_score: 98.4372, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7573, predictive_accuracy: 0.756, prior_entropy: 1, recall: 0.756, relative_absolute_error: 0.6338, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.832, kappa: 0.664, kb_relative_information_score: 118.3274, mean_absolute_error: 0.2793, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8321, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.5586, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.8359, kappa: 0.672, kb_relative_information_score: 144.3835, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8365, predictive_accuracy: 0.836, prior_entropy: 1, recall: 0.836, relative_absolute_error: 0.4472, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.6875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.7557, kappa: 0.512, kb_relative_information_score: 98.4372, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.7573, predictive_accuracy: 0.756, prior_entropy: 1, recall: 0.756, relative_absolute_error: 0.6338, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.876, kappa: 0.752, kb_relative_information_score: 150.1657, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8766, predictive_accuracy: 0.876, prior_entropy: 1, recall: 0.876, relative_absolute_error: 0.4289, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.832, kappa: 0.664, kb_relative_information_score: 118.3274, mean_absolute_error: 0.2793, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8321, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.5586, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.832, kappa: 0.664, kb_relative_information_score: 118.3274, mean_absolute_error: 0.2793, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8321, predictive_accuracy: 0.832, prior_entropy: 1, recall: 0.832, relative_absolute_error: 0.5586, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.804, kappa: 0.608, kb_relative_information_score: 120.3793, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.5, number_of_instances: 250, precision: 0.8042, predictive_accuracy: 0.804, prior_entropy: 1, recall: 0.804, relative_absolute_error: 0.5456, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.743,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs