OpenML
Supervised Classification on mushroom

Supervised Classification on mushroom

Task 24 Supervised Classification mushroom 12556 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_70 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.8863, kappa: 0.7746, kb_relative_information_score: 5288.5123, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8985, predictive_accuracy: 0.8868, prior_entropy: 0.9991, recall: 0.8868, relative_absolute_error: 0.383, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.8863, kappa: 0.7746, kb_relative_information_score: 5288.5123, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8985, predictive_accuracy: 0.8868, prior_entropy: 0.9991, recall: 0.8868, relative_absolute_error: 0.383, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9106, kappa: 0.8214, kb_relative_information_score: 6704.9046, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9182, predictive_accuracy: 0.9113, prior_entropy: 0.9991, recall: 0.9113, relative_absolute_error: 0.1739, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.279, root_relative_squared_error: 0.5583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9233, kappa: 0.8465, kb_relative_information_score: 6899.2502, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9289, predictive_accuracy: 0.9237, prior_entropy: 0.9991, recall: 0.9237, relative_absolute_error: 0.1503, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.257, root_relative_squared_error: 0.5144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.8863, kappa: 0.7746, kb_relative_information_score: 5288.5123, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8985, predictive_accuracy: 0.8868, prior_entropy: 0.9991, recall: 0.8868, relative_absolute_error: 0.383, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 0.0012, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9996, kappa: 0.9993, kb_relative_information_score: 8106.8918, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9996, predictive_accuracy: 0.9996, prior_entropy: 0.9991, recall: 0.9996, relative_absolute_error: 0.0024, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0198, root_relative_squared_error: 0.0396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 0.0012, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 0.0012, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 0.0012, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.8863, kappa: 0.7746, kb_relative_information_score: 1415.3337, mean_absolute_error: 0.4336, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8985, predictive_accuracy: 0.8868, prior_entropy: 0.9991, recall: 0.8868, relative_absolute_error: 0.8683, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.8755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.8863, kappa: 0.7746, kb_relative_information_score: 5288.5123, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8985, predictive_accuracy: 0.8868, prior_entropy: 0.9991, recall: 0.8868, relative_absolute_error: 0.383, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8118.5654, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9991, recall: 0.9999, relative_absolute_error: 0.0008, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0097, root_relative_squared_error: 0.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.8863, kappa: 0.7746, kb_relative_information_score: 5288.5123, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8985, predictive_accuracy: 0.8868, prior_entropy: 0.9991, recall: 0.8868, relative_absolute_error: 0.383, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 0.0012, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.8863, kappa: 0.7746, kb_relative_information_score: 5288.5123, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8985, predictive_accuracy: 0.8868, prior_entropy: 0.9991, recall: 0.8868, relative_absolute_error: 0.383, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9662, kappa: 0.9323, kb_relative_information_score: 7572.5998, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9672, predictive_accuracy: 0.9663, prior_entropy: 0.9991, recall: 0.9663, relative_absolute_error: 0.0682, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.3219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.8863, kappa: 0.7746, kb_relative_information_score: 5288.5123, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8985, predictive_accuracy: 0.8868, prior_entropy: 0.9991, recall: 0.8868, relative_absolute_error: 0.383, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.8863, kappa: 0.7746, kb_relative_information_score: 5288.5123, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8985, predictive_accuracy: 0.8868, prior_entropy: 0.9991, recall: 0.8868, relative_absolute_error: 0.383, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9771, kappa: 0.9541, kb_relative_information_score: 7729.6699, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9774, predictive_accuracy: 0.9771, prior_entropy: 0.9991, recall: 0.9771, relative_absolute_error: 0.0492, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.2663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9183, kappa: 0.8366, kb_relative_information_score: 6813.2436, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9243, predictive_accuracy: 0.9188, prior_entropy: 0.9991, recall: 0.9188, relative_absolute_error: 0.1608, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2671, root_relative_squared_error: 0.5345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9169, kappa: 0.8339, kb_relative_information_score: 6793.5345, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9232, predictive_accuracy: 0.9174, prior_entropy: 0.9991, recall: 0.9174, relative_absolute_error: 0.1632, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2693, root_relative_squared_error: 0.5389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9516, kappa: 0.9031, kb_relative_information_score: 7334.8543, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9541, predictive_accuracy: 0.9517, prior_entropy: 0.9991, recall: 0.9517, relative_absolute_error: 0.097, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9584, kappa: 0.9167, kb_relative_information_score: 7451.2712, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9602, predictive_accuracy: 0.9585, prior_entropy: 0.9991, recall: 0.9585, relative_absolute_error: 0.0827, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.3617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.8863, kappa: 0.7746, kb_relative_information_score: 5288.5123, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8985, predictive_accuracy: 0.8868, prior_entropy: 0.9991, recall: 0.8868, relative_absolute_error: 0.383, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.8863, kappa: 0.7746, kb_relative_information_score: 5288.5123, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8985, predictive_accuracy: 0.8868, prior_entropy: 0.9991, recall: 0.8868, relative_absolute_error: 0.383, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9308, kappa: 0.8615, kb_relative_information_score: 7004.8667, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9353, predictive_accuracy: 0.9311, prior_entropy: 0.9991, recall: 0.9311, relative_absolute_error: 0.1373, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2439, root_relative_squared_error: 0.4882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9651, kappa: 0.9301, kb_relative_information_score: 7549.9964, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9662, predictive_accuracy: 0.9652, prior_entropy: 0.9991, recall: 0.9652, relative_absolute_error: 0.0709, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.3294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9657, kappa: 0.9314, kb_relative_information_score: 7563.0345, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9668, predictive_accuracy: 0.9658, prior_entropy: 0.9991, recall: 0.9658, relative_absolute_error: 0.0693, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.3251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 8123.9098, mean_absolute_error: 0, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0001, root_relative_squared_error: 0.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.999, kappa: 0.998, kb_relative_information_score: 8086.1357, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9991, recall: 0.999, relative_absolute_error: 0.0053, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0299, root_relative_squared_error: 0.0598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9986, kappa: 0.9973, kb_relative_information_score: 7988.33, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 0.9991, recall: 0.9986, relative_absolute_error: 0.0212, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0393, root_relative_squared_error: 0.0786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9125, kappa: 0.8252, kb_relative_information_score: 6738.4461, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9196, predictive_accuracy: 0.9131, prior_entropy: 0.9991, recall: 0.9131, relative_absolute_error: 0.1698, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.917, kappa: 0.8341, kb_relative_information_score: 6797.0375, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9233, predictive_accuracy: 0.9175, prior_entropy: 0.9991, recall: 0.9175, relative_absolute_error: 0.1628, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.5381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9999, kappa: 0.9998, kb_relative_information_score: 8114.4805, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9999, predictive_accuracy: 0.9999, prior_entropy: 0.9991, recall: 0.9999, relative_absolute_error: 0.0013, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0146, root_relative_squared_error: 0.0293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9323, kappa: 0.8644, kb_relative_information_score: 7035.3438, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9366, predictive_accuracy: 0.9325, prior_entropy: 0.9991, recall: 0.9325, relative_absolute_error: 0.1336, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.24, root_relative_squared_error: 0.4804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.8387, kappa: 0.677, kb_relative_information_score: 1237.5513, mean_absolute_error: 0.4416, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8396, predictive_accuracy: 0.839, prior_entropy: 0.9991, recall: 0.839, relative_absolute_error: 0.8843, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4453, root_relative_squared_error: 0.8912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.8863, kappa: 0.7746, kb_relative_information_score: 5288.5123, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8985, predictive_accuracy: 0.8868, prior_entropy: 0.9991, recall: 0.8868, relative_absolute_error: 0.383, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 8123.9816, mean_absolute_error: 0, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0, root_relative_squared_error: 0.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 8117.5733, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0.001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0089, root_relative_squared_error: 0.0178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9745, kappa: 0.9489, kb_relative_information_score: 7675.9704, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9749, predictive_accuracy: 0.9745, prior_entropy: 0.9991, recall: 0.9745, relative_absolute_error: 0.0558, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.143, root_relative_squared_error: 0.2861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9657, kappa: 0.9314, kb_relative_information_score: 7565.9699, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9668, predictive_accuracy: 0.9658, prior_entropy: 0.9991, recall: 0.9658, relative_absolute_error: 0.069, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.162, root_relative_squared_error: 0.3241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9273, kappa: 0.8545, kb_relative_information_score: 6954.3525, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9323, predictive_accuracy: 0.9276, prior_entropy: 0.9991, recall: 0.9276, relative_absolute_error: 0.1435, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.5009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9631, kappa: 0.9262, kb_relative_information_score: 7522.8641, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9644, predictive_accuracy: 0.9632, prior_entropy: 0.9991, recall: 0.9632, relative_absolute_error: 0.0741, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.3384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.967, kappa: 0.9338, kb_relative_information_score: 7582.7507, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9679, predictive_accuracy: 0.967, prior_entropy: 0.9991, recall: 0.967, relative_absolute_error: 0.067, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.3184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.961, kappa: 0.9219, kb_relative_information_score: 7494.9415, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9625, predictive_accuracy: 0.9611, prior_entropy: 0.9991, recall: 0.9611, relative_absolute_error: 0.0775, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 8123.9963, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, root_mean_prior_squared_error: 0.4997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9118, kappa: 0.8237, kb_relative_information_score: 6724.3617, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.919, predictive_accuracy: 0.9124, prior_entropy: 0.9991, recall: 0.9124, relative_absolute_error: 0.1715, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2769, root_relative_squared_error: 0.5541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.999, kappa: 0.998, kb_relative_information_score: 8082.6933, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9991, recall: 0.999, relative_absolute_error: 0.0059, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0292, root_relative_squared_error: 0.0584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9422, kappa: 0.8843, kb_relative_information_score: 7198.2975, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9458, predictive_accuracy: 0.9424, prior_entropy: 0.9991, recall: 0.9424, relative_absolute_error: 0.1136, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.4369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9614, kappa: 0.9227, kb_relative_information_score: 7501.8396, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9628, predictive_accuracy: 0.9615, prior_entropy: 0.9991, recall: 0.9615, relative_absolute_error: 0.0766, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.3453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 8118.546, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0.0008, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0095, root_relative_squared_error: 0.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9145, kappa: 0.8292, kb_relative_information_score: 6763.6363, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9212, predictive_accuracy: 0.9151, prior_entropy: 0.9991, recall: 0.9151, relative_absolute_error: 0.1668, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9137, kappa: 0.8274, kb_relative_information_score: 6757.718, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9205, predictive_accuracy: 0.9142, prior_entropy: 0.9991, recall: 0.9142, relative_absolute_error: 0.1675, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2732, root_relative_squared_error: 0.5468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9756, kappa: 0.9511, kb_relative_information_score: 7699.7524, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.976, predictive_accuracy: 0.9756, prior_entropy: 0.9991, recall: 0.9756, relative_absolute_error: 0.0529, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.2777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 8123.8256, mean_absolute_error: 0, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0005, root_relative_squared_error: 0.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9631, kappa: 0.9262, kb_relative_information_score: 7526.4994, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9644, predictive_accuracy: 0.9632, prior_entropy: 0.9991, recall: 0.9632, relative_absolute_error: 0.0737, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.998, kappa: 0.9961, kb_relative_information_score: 7946.4853, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.9991, recall: 0.998, relative_absolute_error: 0.0273, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0486, root_relative_squared_error: 0.0972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.999, kappa: 0.998, kb_relative_information_score: 8071.1548, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9991, recall: 0.999, relative_absolute_error: 0.0075, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0347, root_relative_squared_error: 0.0695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9383, kappa: 0.8766, kb_relative_information_score: 7138.0635, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9423, predictive_accuracy: 0.9386, prior_entropy: 0.9991, recall: 0.9386, relative_absolute_error: 0.121, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.4534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.939, kappa: 0.8778, kb_relative_information_score: 7142.7657, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9428, predictive_accuracy: 0.9392, prior_entropy: 0.9991, recall: 0.9392, relative_absolute_error: 0.1204, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9078, kappa: 0.8157, kb_relative_information_score: 6658.9769, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.916, predictive_accuracy: 0.9084, prior_entropy: 0.9991, recall: 0.9084, relative_absolute_error: 0.1794, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.284, root_relative_squared_error: 0.5683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9569, kappa: 0.9138, kb_relative_information_score: 7432.6215, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9588, predictive_accuracy: 0.957, prior_entropy: 0.9991, recall: 0.957, relative_absolute_error: 0.085, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.3677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9578, kappa: 0.9155, kb_relative_information_score: 7438.8406, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9596, predictive_accuracy: 0.9579, prior_entropy: 0.9991, recall: 0.9579, relative_absolute_error: 0.0843, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.3657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9772, kappa: 0.9544, kb_relative_information_score: 7733.8307, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9775, predictive_accuracy: 0.9772, prior_entropy: 0.9991, recall: 0.9772, relative_absolute_error: 0.0487, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1324, root_relative_squared_error: 0.2651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9308, kappa: 0.8615, kb_relative_information_score: 7008.1785, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9353, predictive_accuracy: 0.9311, prior_entropy: 0.9991, recall: 0.9311, relative_absolute_error: 0.1369, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.4874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.947, kappa: 0.8939, kb_relative_information_score: 7276.3537, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.95, predictive_accuracy: 0.9472, prior_entropy: 0.9991, recall: 0.9472, relative_absolute_error: 0.1041, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.4149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9059, kappa: 0.8119, kb_relative_information_score: 6631.0301, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9145, predictive_accuracy: 0.9066, prior_entropy: 0.9991, recall: 0.9066, relative_absolute_error: 0.1827, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.287, root_relative_squared_error: 0.5744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9541, kappa: 0.9081, kb_relative_information_score: 7384.2328, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9563, predictive_accuracy: 0.9542, prior_entropy: 0.9991, recall: 0.9542, relative_absolute_error: 0.0909, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.3829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9311, kappa: 0.8622, kb_relative_information_score: 7019.6382, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9357, predictive_accuracy: 0.9314, prior_entropy: 0.9991, recall: 0.9314, relative_absolute_error: 0.1355, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.242, root_relative_squared_error: 0.4844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9759, kappa: 0.9516, kb_relative_information_score: 7708.8734, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9762, predictive_accuracy: 0.9759, prior_entropy: 0.9991, recall: 0.9759, relative_absolute_error: 0.0518, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.2743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9621, kappa: 0.9242, kb_relative_information_score: 7511.181, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9635, predictive_accuracy: 0.9622, prior_entropy: 0.9991, recall: 0.9622, relative_absolute_error: 0.0755, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.171, root_relative_squared_error: 0.3423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9777, kappa: 0.9553, kb_relative_information_score: 7745.5641, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.978, predictive_accuracy: 0.9777, prior_entropy: 0.9991, recall: 0.9777, relative_absolute_error: 0.0473, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.2607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9414, kappa: 0.8828, kb_relative_information_score: 7189.0028, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.945, predictive_accuracy: 0.9417, prior_entropy: 0.9991, recall: 0.9417, relative_absolute_error: 0.1147, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2195, root_relative_squared_error: 0.4393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.908, kappa: 0.8162, kb_relative_information_score: 6662.6936, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9161, predictive_accuracy: 0.9087, prior_entropy: 0.9991, recall: 0.9087, relative_absolute_error: 0.179, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.5675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9719, kappa: 0.9437, kb_relative_information_score: 7636.6313, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9725, predictive_accuracy: 0.9719, prior_entropy: 0.9991, recall: 0.9719, relative_absolute_error: 0.0606, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9431, kappa: 0.886, kb_relative_information_score: 7210.434, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9465, predictive_accuracy: 0.9433, prior_entropy: 0.9991, recall: 0.9433, relative_absolute_error: 0.1121, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.4334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.953, kappa: 0.9058, kb_relative_information_score: 7361.6917, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9553, predictive_accuracy: 0.9531, prior_entropy: 0.9991, recall: 0.9531, relative_absolute_error: 0.0937, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.3898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9337, kappa: 0.8674, kb_relative_information_score: 7058.6253, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.938, predictive_accuracy: 0.934, prior_entropy: 0.9991, recall: 0.934, relative_absolute_error: 0.1308, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.237, root_relative_squared_error: 0.4743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9996, kappa: 0.9993, kb_relative_information_score: 8112.5881, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9996, predictive_accuracy: 0.9996, prior_entropy: 0.9991, recall: 0.9996, relative_absolute_error: 0.0017, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0129, root_relative_squared_error: 0.0258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9387, kappa: 0.8773, kb_relative_information_score: 7142.4897, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9426, predictive_accuracy: 0.9389, prior_entropy: 0.9991, recall: 0.9389, relative_absolute_error: 0.1205, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.4522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9746, kappa: 0.9492, kb_relative_information_score: 7677.4086, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9751, predictive_accuracy: 0.9746, prior_entropy: 0.9991, recall: 0.9746, relative_absolute_error: 0.0556, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.2858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9657, kappa: 0.9314, kb_relative_information_score: 7562.1684, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9668, predictive_accuracy: 0.9658, prior_entropy: 0.9991, recall: 0.9658, relative_absolute_error: 0.0694, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.3254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9101, kappa: 0.8204, kb_relative_information_score: 6693.8224, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9178, predictive_accuracy: 0.9108, prior_entropy: 0.9991, recall: 0.9108, relative_absolute_error: 0.1752, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2802, root_relative_squared_error: 0.5607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.999, kappa: 0.998, kb_relative_information_score: 8087.092, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9991, recall: 0.999, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0292, root_relative_squared_error: 0.0585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9983, kappa: 0.9965, kb_relative_information_score: 8031.4925, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.9991, recall: 0.9983, relative_absolute_error: 0.0141, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0358, root_relative_squared_error: 0.0717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9433, kappa: 0.8865, kb_relative_information_score: 7212.1355, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9468, predictive_accuracy: 0.9435, prior_entropy: 0.9991, recall: 0.9435, relative_absolute_error: 0.1119, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.4331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9659, kappa: 0.9316, kb_relative_information_score: 7565.1849, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9669, predictive_accuracy: 0.9659, prior_entropy: 0.9991, recall: 0.9659, relative_absolute_error: 0.069, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.162, root_relative_squared_error: 0.3243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9996, kappa: 0.9993, kb_relative_information_score: 8108.7641, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9996, predictive_accuracy: 0.9996, prior_entropy: 0.9991, recall: 0.9996, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.016, root_relative_squared_error: 0.0319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9989, kappa: 0.9978, kb_relative_information_score: 8083.1964, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9989, predictive_accuracy: 0.9989, prior_entropy: 0.9991, recall: 0.9989, relative_absolute_error: 0.0057, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0315, root_relative_squared_error: 0.0631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9735, kappa: 0.9469, kb_relative_information_score: 7659.1774, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.974, predictive_accuracy: 0.9735, prior_entropy: 0.9991, recall: 0.9735, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.146, root_relative_squared_error: 0.2921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 8122.2671, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0.0003, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0038, root_relative_squared_error: 0.0077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9323, kappa: 0.8644, kb_relative_information_score: 7034.4026, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9366, predictive_accuracy: 0.9325, prior_entropy: 0.9991, recall: 0.9325, relative_absolute_error: 0.1337, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2401, root_relative_squared_error: 0.4806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9558, kappa: 0.9115, kb_relative_information_score: 7420.6689, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9578, predictive_accuracy: 0.9559, prior_entropy: 0.9991, recall: 0.9559, relative_absolute_error: 0.0865, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.3715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9759, kappa: 0.9516, kb_relative_information_score: 7707.2255, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9762, predictive_accuracy: 0.9759, prior_entropy: 0.9991, recall: 0.9759, relative_absolute_error: 0.052, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.2747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9462, kappa: 0.8922, kb_relative_information_score: 7265.0186, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9493, predictive_accuracy: 0.9463, prior_entropy: 0.9991, recall: 0.9463, relative_absolute_error: 0.1055, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.209, root_relative_squared_error: 0.4182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7341, f_measure: 0.6569, kappa: 0.3195, kb_relative_information_score: 762.2161, mean_absolute_error: 0.4623, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.6646, predictive_accuracy: 0.6582, prior_entropy: 0.9991, recall: 0.6582, relative_absolute_error: 0.9258, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.9425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9281, kappa: 0.8562, kb_relative_information_score: 6975.5045, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9331, predictive_accuracy: 0.9285, prior_entropy: 0.9991, recall: 0.9285, relative_absolute_error: 0.1409, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.4956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9079, kappa: 0.8159, kb_relative_information_score: 6658.0847, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.916, predictive_accuracy: 0.9085, prior_entropy: 0.9991, recall: 0.9085, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2841, root_relative_squared_error: 0.5685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9441, kappa: 0.888, kb_relative_information_score: 7229.4208, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9474, predictive_accuracy: 0.9442, prior_entropy: 0.9991, recall: 0.9442, relative_absolute_error: 0.1098, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.4281,

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