Task
Supervised Classification on kr-vs-kp

Supervised Classification on kr-vs-kp

Task 3 Supervised Classification kr-vs-kp 154355 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
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154355 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: 0.6985, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: -0.9053, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 2.6746, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9035, kappa: 0.807, kb_relative_information_score: 2058.7982, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9112, predictive_accuracy: 0.9043, prior_entropy: 0.9986, recall: 0.9043, relative_absolute_error: 0.4037, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2603, root_relative_squared_error: 0.5211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 133.2893, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6912, root_relative_squared_error: 1.3838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -12.07, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.7953, kappa: 0.5897, kb_relative_information_score: 1329.1598, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.7953, predictive_accuracy: 0.7954, prior_entropy: 0.9986, recall: 0.7954, relative_absolute_error: 0.6174, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9344, kappa: 0.8686, kb_relative_information_score: 1529.4879, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9362, predictive_accuracy: 0.9346, prior_entropy: 0.9986, recall: 0.9346, relative_absolute_error: 0.5869, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.6356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -4.7536, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.6777, kappa: 0.357, kb_relative_information_score: 494.2951, mean_absolute_error: 0.4363, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.6856, predictive_accuracy: 0.6818, prior_entropy: 0.9986, recall: 0.6818, relative_absolute_error: 0.8743, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.458, root_relative_squared_error: 0.9169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9109, kappa: 0.8216, kb_relative_information_score: 2080.8155, mean_absolute_error: 0.1994, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.917, predictive_accuracy: 0.9115, prior_entropy: 0.9986, recall: 0.9115, relative_absolute_error: 0.3996, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2531, root_relative_squared_error: 0.5066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7493, f_measure: 0.6948, kappa: 0.3883, kb_relative_information_score: 644.8674, mean_absolute_error: 0.4129, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.6961, predictive_accuracy: 0.6959, prior_entropy: 0.9986, recall: 0.6959, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6735, f_measure: 0.6004, kappa: 0.242, kb_relative_information_score: 51.0004, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.6646, predictive_accuracy: 0.6302, prior_entropy: 0.9986, recall: 0.6302, relative_absolute_error: 0.9888, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4939, root_relative_squared_error: 0.9888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 0.8854, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: -2.9483, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 1.6986, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 5.9916, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8545, f_measure: 0.777, kappa: 0.554, kb_relative_information_score: 1655.3325, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.7783, predictive_accuracy: 0.7769, prior_entropy: 0.9986, recall: 0.7769, relative_absolute_error: 0.4919, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.8232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: -2.8871, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 0.9072, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9348, kappa: 0.8692, kb_relative_information_score: 2021.2294, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9365, predictive_accuracy: 0.9349, prior_entropy: 0.9986, recall: 0.9349, relative_absolute_error: 0.4191, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.5275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.4992, kappa: -0.0008, kb_relative_information_score: 17.6149, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.5006, predictive_accuracy: 0.5041, prior_entropy: 0.9986, recall: 0.5041, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5128, root_relative_squared_error: 1.0266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9481, kappa: 0.896, kb_relative_information_score: 2474.2858, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9483, predictive_accuracy: 0.9481, prior_entropy: 0.9986, recall: 0.9481, relative_absolute_error: 0.2572, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.491, kappa: 0.0008, kb_relative_information_score: -1.3114, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.5014, predictive_accuracy: 0.4959, prior_entropy: 0.9986, recall: 0.4959, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.67, kappa: 0.3447, kb_relative_information_score: 398.6353, mean_absolute_error: 0.4498, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.6837, predictive_accuracy: 0.6765, prior_entropy: 0.9986, recall: 0.6765, relative_absolute_error: 0.9014, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: 3.712, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 2.1437, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6363, f_measure: 0.579, kappa: 0.1562, kb_relative_information_score: 112.6183, mean_absolute_error: 0.4857, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.5794, predictive_accuracy: 0.5804, prior_entropy: 0.9986, recall: 0.5804, relative_absolute_error: 0.9734, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4894, root_relative_squared_error: 0.9797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -16.8081, mean_absolute_error: 0.5008, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0036, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5012, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 2.9404, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -3.2178, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: 0.1573, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: -1.7856, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5427, f_measure: 0.4996, kappa: 0.0564, kb_relative_information_score: 38.6237, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.5404, predictive_accuracy: 0.5401, prior_entropy: 0.9986, recall: 0.5401, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 1.7378, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: -2.4981, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5792, f_measure: 0.5698, kappa: 0.1413, kb_relative_information_score: 90.6934, mean_absolute_error: 0.4882, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.5721, predictive_accuracy: 0.5698, prior_entropy: 0.9986, recall: 0.5698, relative_absolute_error: 0.9784, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4946, root_relative_squared_error: 0.9901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7724, f_measure: 0.7096, kappa: 0.4181, kb_relative_information_score: 215.7528, mean_absolute_error: 0.4744, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.7117, predictive_accuracy: 0.7109, prior_entropy: 0.9986, recall: 0.7109, relative_absolute_error: 0.9507, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: -0.9429, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: 5.7464, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.7591, kappa: 0.517, kb_relative_information_score: 1148.0176, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.7601, predictive_accuracy: 0.7597, prior_entropy: 0.9986, recall: 0.7597, relative_absolute_error: 0.6733, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.8104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 1.8933, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9509, kappa: 0.9016, kb_relative_information_score: 2335.0235, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9511, predictive_accuracy: 0.9509, prior_entropy: 0.9986, recall: 0.9509, relative_absolute_error: 0.3103, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.4481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: -1.5555, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.4992, kappa: -0.0008, kb_relative_information_score: 1.1446, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.5006, predictive_accuracy: 0.5041, prior_entropy: 0.9986, recall: 0.5041, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8545, f_measure: 0.7746, kappa: 0.5482, kb_relative_information_score: 1306.3436, mean_absolute_error: 0.3092, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.7762, predictive_accuracy: 0.7753, prior_entropy: 0.9986, recall: 0.7753, relative_absolute_error: 0.6196, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.7921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.747, kappa: 0.4931, kb_relative_information_score: 1204.2222, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.7493, predictive_accuracy: 0.7481, prior_entropy: 0.9986, recall: 0.7481, relative_absolute_error: 0.6483, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4179, root_relative_squared_error: 0.8367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 1.5116, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.792, kappa: 0.5833, kb_relative_information_score: 1341.0189, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.7921, predictive_accuracy: 0.7919, prior_entropy: 0.9986, recall: 0.7919, relative_absolute_error: 0.6124, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3848, root_relative_squared_error: 0.7704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -1.3992, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 0.1883, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.491, kappa: 0.0008, kb_relative_information_score: -9.6134, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.5014, predictive_accuracy: 0.4959, prior_entropy: 0.9986, recall: 0.4959, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: 0.4845, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: -0.6819, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.7548, kappa: 0.5096, kb_relative_information_score: 1012.4067, mean_absolute_error: 0.3591, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.7608, predictive_accuracy: 0.7569, prior_entropy: 0.9986, recall: 0.7569, relative_absolute_error: 0.7195, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.762, kappa: 0.524, kb_relative_information_score: 659.7212, mean_absolute_error: 0.4151, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.7633, predictive_accuracy: 0.7619, prior_entropy: 0.9986, recall: 0.7619, relative_absolute_error: 0.8319, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.8742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9578, kappa: 0.9154, kb_relative_information_score: 2658.7788, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.958, predictive_accuracy: 0.9578, prior_entropy: 0.9986, recall: 0.9578, relative_absolute_error: 0.1914, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.3681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 1.792, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: -11.5104, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0025, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -0.8653, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6687, f_measure: 0.6707, kappa: 0.3555, kb_relative_information_score: 433.4995, mean_absolute_error: 0.4451, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.7038, predictive_accuracy: 0.6834, prior_entropy: 0.9986, recall: 0.6834, relative_absolute_error: 0.8919, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4649, root_relative_squared_error: 0.9306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7389, f_measure: 0.6862, kappa: 0.3722, kb_relative_information_score: 592.5255, mean_absolute_error: 0.4204, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.6905, predictive_accuracy: 0.6887, prior_entropy: 0.9986, recall: 0.6887, relative_absolute_error: 0.8424, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4555, root_relative_squared_error: 0.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: -1.98, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5843, f_measure: 0.566, kappa: 0.13, kb_relative_information_score: 108.5303, mean_absolute_error: 0.4859, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.5659, predictive_accuracy: 0.5663, prior_entropy: 0.9986, recall: 0.5663, relative_absolute_error: 0.9737, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4941, root_relative_squared_error: 0.9892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.7839, kappa: 0.5667, kb_relative_information_score: 1141.1423, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.7841, predictive_accuracy: 0.7841, prior_entropy: 0.9986, recall: 0.7841, relative_absolute_error: 0.6788, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5344, f_measure: 0.5248, kappa: 0.0681, kb_relative_information_score: 181.4261, mean_absolute_error: 0.4703, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.5373, predictive_accuracy: 0.5297, prior_entropy: 0.9986, recall: 0.5297, relative_absolute_error: 0.9424, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6858, root_relative_squared_error: 1.3729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6696, f_measure: 0.6697, kappa: 0.3432, kb_relative_information_score: 400.5319, mean_absolute_error: 0.4482, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.6816, predictive_accuracy: 0.6755, prior_entropy: 0.9986, recall: 0.6755, relative_absolute_error: 0.8982, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4721, root_relative_squared_error: 0.9452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9133, kappa: 0.8264, kb_relative_information_score: 2383.5719, mean_absolute_error: 0.1366, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9134, predictive_accuracy: 0.9133, prior_entropy: 0.9986, recall: 0.9133, relative_absolute_error: 0.2737, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.5132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 4.6274, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 15.3028, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9468, kappa: 0.8935, kb_relative_information_score: 2407.1886, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.9469, predictive_accuracy: 0.9468, prior_entropy: 0.9986, recall: 0.9468, relative_absolute_error: 0.2807, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.4422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8271, kappa: 0.6534, kb_relative_information_score: 1455.2868, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8273, predictive_accuracy: 0.8273, prior_entropy: 0.9986, recall: 0.8273, relative_absolute_error: 0.5824, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.7181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: -19.1799, mean_absolute_error: 0.5011, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0042, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, kb_relative_information_score: -6.7891, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -11.8128, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0025, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: -1.6186, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: -0.2905, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 0.648, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -2.7006, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 0.6487, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 14.702, mean_absolute_error: 0.4973, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.501, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9518, kappa: 0.9035, kb_relative_information_score: 2465.9903, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.952, predictive_accuracy: 0.9518, prior_entropy: 0.9986, recall: 0.9518, relative_absolute_error: 0.2617, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: -2.0428, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kb_relative_information_score: 2.4675, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 65.9181, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5373, root_relative_squared_error: 1.0756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: 2.5127, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7939, kappa: 0.5869, kb_relative_information_score: 1187.2588, mean_absolute_error: 0.3325, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.7941, predictive_accuracy: 0.7941, prior_entropy: 0.9986, recall: 0.7941, relative_absolute_error: 0.6664, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.7904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, kb_relative_information_score: 13.7031, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.7837, kappa: 0.5663, kb_relative_information_score: 1216.269, mean_absolute_error: 0.3264, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.7845, predictive_accuracy: 0.7841, prior_entropy: 0.9986, recall: 0.7841, relative_absolute_error: 0.6541, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.7905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, f_measure: 0.7323, kappa: 0.4632, kb_relative_information_score: 886.7842, mean_absolute_error: 0.3784, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.7328, predictive_accuracy: 0.7328, prior_entropy: 0.9986, recall: 0.7328, relative_absolute_error: 0.7584, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4337, root_relative_squared_error: 0.8682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -13.2818, mean_absolute_error: 0.5004, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.7369, kappa: 0.4749, kb_relative_information_score: 1110.4677, mean_absolute_error: 0.3401, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.7456, predictive_accuracy: 0.74, prior_entropy: 0.9986, recall: 0.74, relative_absolute_error: 0.6816, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.491, kappa: 0.0008, kb_relative_information_score: -14.4014, mean_absolute_error: 0.5006, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.5014, predictive_accuracy: 0.4959, prior_entropy: 0.9986, recall: 0.4959, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.4992, kappa: -0.0008, kb_relative_information_score: -8.0443, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.5006, predictive_accuracy: 0.5041, prior_entropy: 0.9986, recall: 0.5041, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.002,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: 0.8638, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1.8806, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -12.6393, mean_absolute_error: 0.5004, mean_prior_absolute_error: 0.499, number_of_instances: 3196, predictive_accuracy: 0.4778, prior_entropy: 0.9986, recall: 0.4778, relative_absolute_error: 1.0027, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0019,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs