Task
Supervised Classification on wall-robot-navigation

Supervised Classification on wall-robot-navigation

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

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9965, kappa: 0.9947, kb_relative_information_score: 5389.906, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1.7151, recall: 0.9965, relative_absolute_error: 0.0172, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0406, root_relative_squared_error: 0.0997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9967, kappa: 0.995, kb_relative_information_score: 5407.0374, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 1.7151, recall: 0.9967, relative_absolute_error: 0.0119, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0373, root_relative_squared_error: 0.0917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9956, kappa: 0.9934, kb_relative_information_score: 5386.6848, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 1.7151, recall: 0.9956, relative_absolute_error: 0.0175, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0432, root_relative_squared_error: 0.1061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.993, kappa: 0.9895, kb_relative_information_score: 5251.0125, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.993, predictive_accuracy: 0.993, prior_entropy: 1.7151, recall: 0.993, relative_absolute_error: 0.0559, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0688, root_relative_squared_error: 0.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9967, kappa: 0.995, kb_relative_information_score: 5400.77, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 1.7151, recall: 0.9967, relative_absolute_error: 0.0134, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0407, root_relative_squared_error: 0.0999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.996, kappa: 0.9939, kb_relative_information_score: 5393.5634, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 1.7151, recall: 0.996, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.043, root_relative_squared_error: 0.1057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9971, kappa: 0.9956, kb_relative_information_score: 5392.0147, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 1.7151, recall: 0.9971, relative_absolute_error: 0.0157, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0419, root_relative_squared_error: 0.1029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9965, kappa: 0.9947, kb_relative_information_score: 5386.2862, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1.7151, recall: 0.9965, relative_absolute_error: 0.0171, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0446, root_relative_squared_error: 0.1096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9961, kappa: 0.9942, kb_relative_information_score: 5385.5869, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 1.7151, recall: 0.9962, relative_absolute_error: 0.0179, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0423, root_relative_squared_error: 0.1039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9958, kappa: 0.9936, kb_relative_information_score: 5383.4941, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 1.7151, recall: 0.9958, relative_absolute_error: 0.018, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0447, root_relative_squared_error: 0.1099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9938, kappa: 0.9906, kb_relative_information_score: 5282.2006, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 1.7151, recall: 0.9938, relative_absolute_error: 0.0469, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0639, root_relative_squared_error: 0.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, f_measure: 0.4835, kappa: 0.2395, kb_relative_information_score: 1063.3677, mean_absolute_error: 0.2958, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.469, predictive_accuracy: 0.5291, prior_entropy: 1.7151, recall: 0.5291, relative_absolute_error: 0.893, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3872, root_relative_squared_error: 0.9514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, f_measure: 0.5745, kappa: 0.3616, kb_relative_information_score: 1757.0178, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.58, predictive_accuracy: 0.5909, prior_entropy: 1.7151, recall: 0.5909, relative_absolute_error: 0.7838, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.8917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.6225, kappa: 0.4399, kb_relative_information_score: 2312.8077, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6504, predictive_accuracy: 0.6312, prior_entropy: 1.7151, recall: 0.6312, relative_absolute_error: 0.6873, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9971, kappa: 0.9956, kb_relative_information_score: 5404.1728, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 1.7151, recall: 0.9971, relative_absolute_error: 0.0121, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0397, root_relative_squared_error: 0.0976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9961, kappa: 0.9942, kb_relative_information_score: 5394.3245, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 1.7151, recall: 0.9962, relative_absolute_error: 0.0153, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.042, root_relative_squared_error: 0.1032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9958, kappa: 0.9936, kb_relative_information_score: 5384.2747, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 1.7151, recall: 0.9958, relative_absolute_error: 0.0173, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.045, root_relative_squared_error: 0.1106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9928, kappa: 0.9892, kb_relative_information_score: 5231.1091, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7151, recall: 0.9929, relative_absolute_error: 0.062, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0689, root_relative_squared_error: 0.1693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9972, kappa: 0.9958, kb_relative_information_score: 5397.5893, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 1.7151, recall: 0.9973, relative_absolute_error: 0.0143, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0407, root_relative_squared_error: 0.0999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9967, kappa: 0.995, kb_relative_information_score: 5400.5995, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 1.7151, recall: 0.9967, relative_absolute_error: 0.0137, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.04, root_relative_squared_error: 0.0984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9934, kappa: 0.99, kb_relative_information_score: 5249.0612, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 1.7151, recall: 0.9934, relative_absolute_error: 0.0566, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0671, root_relative_squared_error: 0.1649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9969, kappa: 0.9953, kb_relative_information_score: 5395.1234, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 1.7151, recall: 0.9969, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0408, root_relative_squared_error: 0.1003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9956, kappa: 0.9934, kb_relative_information_score: 5380.2728, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 1.7151, recall: 0.9956, relative_absolute_error: 0.0192, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0448, root_relative_squared_error: 0.1101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9965, kappa: 0.9947, kb_relative_information_score: 5405.7014, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1.7151, recall: 0.9965, relative_absolute_error: 0.0119, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0382, root_relative_squared_error: 0.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9967, kappa: 0.995, kb_relative_information_score: 5403.894, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 1.7151, recall: 0.9967, relative_absolute_error: 0.0122, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0403, root_relative_squared_error: 0.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.996, kappa: 0.9939, kb_relative_information_score: 5387.2549, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 1.7151, recall: 0.996, relative_absolute_error: 0.0167, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0431, root_relative_squared_error: 0.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.6229, kappa: 0.4411, kb_relative_information_score: 2326.7345, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6503, predictive_accuracy: 0.6316, prior_entropy: 1.7151, recall: 0.6316, relative_absolute_error: 0.6842, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.8508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.8569, kappa: 0.7825, kb_relative_information_score: 3992.0362, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8627, predictive_accuracy: 0.8576, prior_entropy: 1.7151, recall: 0.8576, relative_absolute_error: 0.3166, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.229, root_relative_squared_error: 0.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9033, kappa: 0.8541, kb_relative_information_score: 4257.1142, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9034, predictive_accuracy: 0.9038, prior_entropy: 1.7151, recall: 0.9038, relative_absolute_error: 0.2862, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.9016, kappa: 0.8512, kb_relative_information_score: 4148.9415, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9017, predictive_accuracy: 0.9019, prior_entropy: 1.7151, recall: 0.9019, relative_absolute_error: 0.3148, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.212, root_relative_squared_error: 0.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6063, f_measure: 0.4151, kappa: 0.123, kb_relative_information_score: 563.7755, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.4032, predictive_accuracy: 0.4668, prior_entropy: 1.7151, recall: 0.4668, relative_absolute_error: 0.959, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.898, kappa: 0.8457, kb_relative_information_score: 4362.4455, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8982, predictive_accuracy: 0.8983, prior_entropy: 1.7151, recall: 0.8983, relative_absolute_error: 0.2603, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.4868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.6155, kappa: 0.4145, kb_relative_information_score: 1996.8118, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6271, predictive_accuracy: 0.6245, prior_entropy: 1.7151, recall: 0.6245, relative_absolute_error: 0.7457, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.8671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 0.9276, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.721, kappa: 0.578, kb_relative_information_score: 2823.7809, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7302, predictive_accuracy: 0.7275, prior_entropy: 1.7151, recall: 0.7275, relative_absolute_error: 0.5856, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.7516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.8121, kappa: 0.7165, kb_relative_information_score: 3456.6547, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8177, predictive_accuracy: 0.8156, prior_entropy: 1.7151, recall: 0.8156, relative_absolute_error: 0.4455, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2629, root_relative_squared_error: 0.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.8903, kappa: 0.8341, kb_relative_information_score: 4312.8648, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8914, predictive_accuracy: 0.8908, prior_entropy: 1.7151, recall: 0.8908, relative_absolute_error: 0.2568, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.5059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9142, kappa: 0.8705, kb_relative_information_score: 4219.9212, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9144, predictive_accuracy: 0.9144, prior_entropy: 1.7151, recall: 0.9144, relative_absolute_error: 0.303, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.4903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.8985, kappa: 0.8465, kb_relative_information_score: 4425.0221, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8989, predictive_accuracy: 0.8988, prior_entropy: 1.7151, recall: 0.8988, relative_absolute_error: 0.2334, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.4875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9187, kappa: 0.8773, kb_relative_information_score: 4382.0965, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9187, predictive_accuracy: 0.9188, prior_entropy: 1.7151, recall: 0.9188, relative_absolute_error: 0.2611, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.4684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.6356, kappa: 0.4573, kb_relative_information_score: 2256.3757, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6544, predictive_accuracy: 0.642, prior_entropy: 1.7151, recall: 0.642, relative_absolute_error: 0.7003, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.8473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7103, f_measure: 0.4805, kappa: 0.2589, kb_relative_information_score: 1288.9294, mean_absolute_error: 0.2908, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6018, predictive_accuracy: 0.5218, prior_entropy: 1.7151, recall: 0.5218, relative_absolute_error: 0.8781, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.9539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7436, f_measure: 0.5044, kappa: 0.2964, kb_relative_information_score: 1492.7275, mean_absolute_error: 0.2769, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.5874, predictive_accuracy: 0.5456, prior_entropy: 1.7151, recall: 0.5456, relative_absolute_error: 0.8358, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.381, root_relative_squared_error: 0.9363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.8441, kappa: 0.7636, kb_relative_information_score: 3818.5175, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.845, predictive_accuracy: 0.8449, prior_entropy: 1.7151, recall: 0.8449, relative_absolute_error: 0.3824, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.6792, kappa: 0.5204, kb_relative_information_score: 2466.7189, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6927, predictive_accuracy: 0.6853, prior_entropy: 1.7151, recall: 0.6853, relative_absolute_error: 0.6563, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3287, root_relative_squared_error: 0.8078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9159, kappa: 0.873, kb_relative_information_score: 4341.6656, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.916, predictive_accuracy: 0.9161, prior_entropy: 1.7151, recall: 0.9161, relative_absolute_error: 0.2712, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.4727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9277, kappa: 0.8907, kb_relative_information_score: 4739.4391, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9277, predictive_accuracy: 0.9278, prior_entropy: 1.7151, recall: 0.9278, relative_absolute_error: 0.1663, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.166, root_relative_squared_error: 0.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.8225, kappa: 0.7291, kb_relative_information_score: 3656.0965, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8402, predictive_accuracy: 0.8235, prior_entropy: 1.7151, recall: 0.8235, relative_absolute_error: 0.3756, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2484, root_relative_squared_error: 0.6103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.7318, kappa: 0.5913, kb_relative_information_score: 2807.9908, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7425, predictive_accuracy: 0.7348, prior_entropy: 1.7151, recall: 0.7348, relative_absolute_error: 0.5962, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3046, root_relative_squared_error: 0.7486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.7944, kappa: 0.6852, kb_relative_information_score: 3329.981, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8266, predictive_accuracy: 0.7962, prior_entropy: 1.7151, recall: 0.7962, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.6526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.8658, kappa: 0.7959, kb_relative_information_score: 4279.7087, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8675, predictive_accuracy: 0.8655, prior_entropy: 1.7151, recall: 0.8655, relative_absolute_error: 0.2669, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.5863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 0.9276, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5786, kappa: 0.0921, kb_relative_information_score: 261.0273, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4564, prior_entropy: 1.7151, recall: 0.4564, relative_absolute_error: 0.9766, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.402, root_relative_squared_error: 0.9878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.6254, kappa: 0.4492, kb_relative_information_score: 2227.7796, mean_absolute_error: 0.2372, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6518, predictive_accuracy: 0.632, prior_entropy: 1.7151, recall: 0.632, relative_absolute_error: 0.7162, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.8515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 0.9276, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9018, kappa: 0.8515, kb_relative_information_score: 4421.6521, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9018, predictive_accuracy: 0.9018, prior_entropy: 1.7151, recall: 0.9018, relative_absolute_error: 0.2451, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.4994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9969, kappa: 0.9953, kb_relative_information_score: 5400.2696, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 1.7151, recall: 0.9969, relative_absolute_error: 0.0137, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0405, root_relative_squared_error: 0.0994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.8923, kappa: 0.8375, kb_relative_information_score: 4299.6582, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8924, predictive_accuracy: 0.8924, prior_entropy: 1.7151, recall: 0.8924, relative_absolute_error: 0.274, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.5139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.6582, kappa: 0.4872, kb_relative_information_score: 2305.6918, mean_absolute_error: 0.2288, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.666, predictive_accuracy: 0.6622, prior_entropy: 1.7151, recall: 0.6622, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3396, root_relative_squared_error: 0.8345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9956, kappa: 0.9934, kb_relative_information_score: 5380.2728, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 1.7151, recall: 0.9956, relative_absolute_error: 0.0192, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0448, root_relative_squared_error: 0.1101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9967, kappa: 0.995, kb_relative_information_score: 5403.894, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 1.7151, recall: 0.9967, relative_absolute_error: 0.0122, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0403, root_relative_squared_error: 0.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9967, kappa: 0.995, kb_relative_information_score: 5403.894, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 1.7151, recall: 0.9967, relative_absolute_error: 0.0122, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0403, root_relative_squared_error: 0.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.5574, kappa: 0.3331, kb_relative_information_score: 1639.6498, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.5672, predictive_accuracy: 0.5768, prior_entropy: 1.7151, recall: 0.5768, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9967, kappa: 0.995, kb_relative_information_score: 5403.894, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 1.7151, recall: 0.9967, relative_absolute_error: 0.0122, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0403, root_relative_squared_error: 0.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9956, kappa: 0.9934, kb_relative_information_score: 5365.1404, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 1.7151, recall: 0.9956, relative_absolute_error: 0.0227, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0482, root_relative_squared_error: 0.1183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9954, kappa: 0.9931, kb_relative_information_score: 5372.1848, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 1.7151, recall: 0.9954, relative_absolute_error: 0.0214, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0466, root_relative_squared_error: 0.1145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.996, kappa: 0.9939, kb_relative_information_score: 5396.2215, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 1.7151, recall: 0.996, relative_absolute_error: 0.0141, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0428, root_relative_squared_error: 0.1051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5486, f_measure: 0.3828, kappa: 0.0741, kb_relative_information_score: 271.3901, mean_absolute_error: 0.3272, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.3557, predictive_accuracy: 0.4395, prior_entropy: 1.7151, recall: 0.4395, relative_absolute_error: 0.9877, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.41, root_relative_squared_error: 1.0075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9954, kappa: 0.9931, kb_relative_information_score: 5380.4423, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 1.7151, recall: 0.9954, relative_absolute_error: 0.0187, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0448, root_relative_squared_error: 0.1102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9949, kappa: 0.9923, kb_relative_information_score: 5333.4605, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 1.7151, recall: 0.9949, relative_absolute_error: 0.0322, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0541, root_relative_squared_error: 0.1328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9963, kappa: 0.9945, kb_relative_information_score: 5392.9246, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 1.7151, recall: 0.9963, relative_absolute_error: 0.0148, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0443, root_relative_squared_error: 0.1089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.996, kappa: 0.9939, kb_relative_information_score: 5380.558, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 1.7151, recall: 0.996, relative_absolute_error: 0.0188, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0448, root_relative_squared_error: 0.1101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9934, kappa: 0.99, kb_relative_information_score: 5326.9727, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 1.7151, recall: 0.9934, relative_absolute_error: 0.0337, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.1374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.996, kappa: 0.9939, kb_relative_information_score: 5386.561, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 1.7151, recall: 0.996, relative_absolute_error: 0.0167, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0445, root_relative_squared_error: 0.1094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9941, kappa: 0.9911, kb_relative_information_score: 5371.2393, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7151, recall: 0.9941, relative_absolute_error: 0.0206, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0489, root_relative_squared_error: 0.1203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9954, kappa: 0.9931, kb_relative_information_score: 5373.0659, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 1.7151, recall: 0.9954, relative_absolute_error: 0.0209, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0465, root_relative_squared_error: 0.1143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9938, kappa: 0.9906, kb_relative_information_score: 5342.4077, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 1.7151, recall: 0.9938, relative_absolute_error: 0.0294, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0529, root_relative_squared_error: 0.1299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9949, kappa: 0.9923, kb_relative_information_score: 5376.7522, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 1.7151, recall: 0.9949, relative_absolute_error: 0.02, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.046, root_relative_squared_error: 0.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9323, kappa: 0.8976, kb_relative_information_score: 4655.9274, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9324, predictive_accuracy: 0.9324, prior_entropy: 1.7151, recall: 0.9324, relative_absolute_error: 0.193, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.4091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9947, kappa: 0.992, kb_relative_information_score: 5351.7398, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 1.7151, recall: 0.9947, relative_absolute_error: 0.0268, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0513, root_relative_squared_error: 0.1261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9969, kappa: 0.9953, kb_relative_information_score: 5395.1234, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 1.7151, recall: 0.9969, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0408, root_relative_squared_error: 0.1003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9251, kappa: 0.8868, kb_relative_information_score: 4735.8482, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9251, predictive_accuracy: 0.9252, prior_entropy: 1.7151, recall: 0.9252, relative_absolute_error: 0.1661, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.4138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9947, kappa: 0.992, kb_relative_information_score: 5336.2273, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 1.7151, recall: 0.9947, relative_absolute_error: 0.0314, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0533, root_relative_squared_error: 0.1309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9954, kappa: 0.9931, kb_relative_information_score: 5356.657, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 1.7151, recall: 0.9954, relative_absolute_error: 0.0254, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0504, root_relative_squared_error: 0.1237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9961, kappa: 0.9942, kb_relative_information_score: 5390.7571, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9961, predictive_accuracy: 0.9962, prior_entropy: 1.7151, recall: 0.9962, relative_absolute_error: 0.0157, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0433, root_relative_squared_error: 0.1064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9945, kappa: 0.9917, kb_relative_information_score: 5349.2061, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 1.7151, recall: 0.9945, relative_absolute_error: 0.0275, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.052, root_relative_squared_error: 0.1277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9949, kappa: 0.9923, kb_relative_information_score: 5364.4408, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 1.7151, recall: 0.9949, relative_absolute_error: 0.0228, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0498, root_relative_squared_error: 0.1224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.996, kappa: 0.9939, kb_relative_information_score: 5406.9603, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 1.7151, recall: 0.996, relative_absolute_error: 0.0107, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.042, root_relative_squared_error: 0.1031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.995, kappa: 0.9925, kb_relative_information_score: 5339.9737, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9951, predictive_accuracy: 0.9951, prior_entropy: 1.7151, recall: 0.9951, relative_absolute_error: 0.0312, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.052, root_relative_squared_error: 0.1278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.996, kappa: 0.9939, kb_relative_information_score: 5401.7655, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 1.7151, recall: 0.996, relative_absolute_error: 0.0123, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0415, root_relative_squared_error: 0.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9963, kappa: 0.9945, kb_relative_information_score: 5411.3338, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 1.7151, recall: 0.9963, relative_absolute_error: 0.0095, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0401, root_relative_squared_error: 0.0985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9965, kappa: 0.9947, kb_relative_information_score: 5385.4048, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1.7151, recall: 0.9965, relative_absolute_error: 0.0182, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9047, kappa: 0.8561, kb_relative_information_score: 4247.361, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9048, predictive_accuracy: 0.9051, prior_entropy: 1.7151, recall: 0.9051, relative_absolute_error: 0.2891, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.5044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9961, kappa: 0.9942, kb_relative_information_score: 5397.1155, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 1.7151, recall: 0.9962, relative_absolute_error: 0.0144, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0408, root_relative_squared_error: 0.1003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9934, kappa: 0.99, kb_relative_information_score: 5249.0612, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 1.7151, recall: 0.9934, relative_absolute_error: 0.0566, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0671, root_relative_squared_error: 0.1649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.996, kappa: 0.9939, kb_relative_information_score: 5402.4396, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 1.7151, recall: 0.996, relative_absolute_error: 0.0126, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0406, root_relative_squared_error: 0.0997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9877, kappa: 0.9814, kb_relative_information_score: 5072.4597, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9877, predictive_accuracy: 0.9877, prior_entropy: 1.7151, recall: 0.9877, relative_absolute_error: 0.1047, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0932, root_relative_squared_error: 0.2291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9967, kappa: 0.995, kb_relative_information_score: 5402.2488, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 1.7151, recall: 0.9967, relative_absolute_error: 0.0127, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.04, root_relative_squared_error: 0.0984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9963, kappa: 0.9945, kb_relative_information_score: 5383.0295, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 1.7151, recall: 0.9963, relative_absolute_error: 0.0186, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0436, root_relative_squared_error: 0.1071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9961, kappa: 0.9942, kb_relative_information_score: 5394.9776, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 1.7151, recall: 0.9962, relative_absolute_error: 0.0147, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.042, root_relative_squared_error: 0.1032,

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