Task
Supervised Classification on pendigits

Supervised Classification on pendigits

Task 32 Supervised Classification pendigits 23515 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9903, kb_relative_information_score: 0.9916, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 3.3208, recall: 0.9913, relative_absolute_error: 0.0104, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0381, root_relative_squared_error: 0.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.9148, kappa: 0.8929, kb_relative_information_score: 0.9002, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9451, predictive_accuracy: 0.9037, prior_entropy: 3.3208, recall: 0.9037, relative_absolute_error: 0.1072, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.4582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.9148, kappa: 0.8929, kb_relative_information_score: 0.9002, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9451, predictive_accuracy: 0.9037, prior_entropy: 3.3208, recall: 0.9037, relative_absolute_error: 0.1072, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.4582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: 0.0001, kb_relative_information_score: 0.0577, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.18, number_of_instances: 10992, predictive_accuracy: 0.0984, prior_entropy: 3.3208, recall: 0.0984, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4246, root_relative_squared_error: 1.4156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: 0.0001, kb_relative_information_score: 0.0577, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.18, number_of_instances: 10992, predictive_accuracy: 0.0984, prior_entropy: 3.3208, recall: 0.0984, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4246, root_relative_squared_error: 1.4156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9918, kappa: 0.9909, kb_relative_information_score: 0.9914, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9918, predictive_accuracy: 0.9918, prior_entropy: 3.3208, recall: 0.9918, relative_absolute_error: 0.0125, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0357, root_relative_squared_error: 0.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9918, kappa: 0.9909, kb_relative_information_score: 0.9914, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9918, predictive_accuracy: 0.9918, prior_entropy: 3.3208, recall: 0.9918, relative_absolute_error: 0.0125, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0357, root_relative_squared_error: 0.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9927, kb_relative_information_score: 0.9934, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 3.3208, recall: 0.9934, relative_absolute_error: 0.0083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.033, root_relative_squared_error: 0.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5043, kappa: 0.0085, kb_relative_information_score: 0.0685, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.18, number_of_instances: 10992, predictive_accuracy: 0.1102, prior_entropy: 3.3208, recall: 0.1102, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4219, root_relative_squared_error: 1.4063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5043, kappa: 0.0085, kb_relative_information_score: 0.0685, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.18, number_of_instances: 10992, predictive_accuracy: 0.1102, prior_entropy: 3.3208, recall: 0.1102, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4219, root_relative_squared_error: 1.4063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9444, kappa: 0.9384, kb_relative_information_score: 0.9422, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9448, predictive_accuracy: 0.9446, prior_entropy: 3.3208, recall: 0.9446, relative_absolute_error: 0.0887, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0919, root_relative_squared_error: 0.3065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5142, f_measure: 0.1105, kappa: 0.0283, kb_relative_information_score: 0.0856, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.1627, predictive_accuracy: 0.126, prior_entropy: 3.3208, recall: 0.126, relative_absolute_error: 0.9713, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4181, root_relative_squared_error: 1.3938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5142, f_measure: 0.1105, kappa: 0.0283, kb_relative_information_score: 0.0856, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.1627, predictive_accuracy: 0.126, prior_entropy: 3.3208, recall: 0.126, relative_absolute_error: 0.9713, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4181, root_relative_squared_error: 1.3938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: 0, kb_relative_information_score: 0.0566, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.18, number_of_instances: 10992, predictive_accuracy: 0.0968, prior_entropy: 3.3208, recall: 0.0968, relative_absolute_error: 1.0037, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.425, root_relative_squared_error: 1.4169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: 0, kb_relative_information_score: 0.0566, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.18, number_of_instances: 10992, predictive_accuracy: 0.0968, prior_entropy: 3.3208, recall: 0.0968, relative_absolute_error: 1.0037, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.425, root_relative_squared_error: 1.4169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: 0, kb_relative_information_score: 0.0566, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.18, number_of_instances: 10992, predictive_accuracy: 0.0968, prior_entropy: 3.3208, recall: 0.0968, relative_absolute_error: 1.0037, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.425, root_relative_squared_error: 1.4169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9884, kappa: 0.9872, kb_relative_information_score: 0.9832, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9885, predictive_accuracy: 0.9884, prior_entropy: 3.3208, recall: 0.9884, relative_absolute_error: 0.0293, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0432, root_relative_squared_error: 0.1439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9896, kappa: 0.9885, kb_relative_information_score: 0.9895, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 3.3208, recall: 0.9896, relative_absolute_error: 0.0139, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0411, root_relative_squared_error: 0.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9548, kappa: 0.9499, kb_relative_information_score: 0.9121, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9552, predictive_accuracy: 0.9549, prior_entropy: 3.3208, recall: 0.9549, relative_absolute_error: 0.1666, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6501, f_measure: 0.3678, kappa: 0.2968, kb_relative_information_score: 0.3378, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.3894, predictive_accuracy: 0.3674, prior_entropy: 3.3208, recall: 0.3674, relative_absolute_error: 0.7031, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3557, root_relative_squared_error: 1.1858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9903, kb_relative_information_score: 0.9916, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 3.3208, recall: 0.9913, relative_absolute_error: 0.0104, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0381, root_relative_squared_error: 0.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.9148, kappa: 0.8929, kb_relative_information_score: 0.9002, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9451, predictive_accuracy: 0.9037, prior_entropy: 3.3208, recall: 0.9037, relative_absolute_error: 0.1072, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.4582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0001, kb_relative_information_score: 0.061, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.18, number_of_instances: 10992, predictive_accuracy: 0.1033, prior_entropy: 3.3208, recall: 0.1033, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4235, root_relative_squared_error: 1.4117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9927, kb_relative_information_score: 0.9934, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 3.3208, recall: 0.9934, relative_absolute_error: 0.0083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.033, root_relative_squared_error: 0.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9927, kb_relative_information_score: 0.9934, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 3.3208, recall: 0.9934, relative_absolute_error: 0.0083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.033, root_relative_squared_error: 0.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5043, kappa: 0.0085, kb_relative_information_score: 0.0685, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.18, number_of_instances: 10992, predictive_accuracy: 0.1102, prior_entropy: 3.3208, recall: 0.1102, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4219, root_relative_squared_error: 1.4063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5043, kappa: 0.0085, kb_relative_information_score: 0.0685, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.18, number_of_instances: 10992, predictive_accuracy: 0.1102, prior_entropy: 3.3208, recall: 0.1102, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4219, root_relative_squared_error: 1.4063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5043, kappa: 0.0085, kb_relative_information_score: 0.0685, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.18, number_of_instances: 10992, predictive_accuracy: 0.1102, prior_entropy: 3.3208, recall: 0.1102, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4219, root_relative_squared_error: 1.4063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9444, kappa: 0.9384, kb_relative_information_score: 0.9422, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9448, predictive_accuracy: 0.9446, prior_entropy: 3.3208, recall: 0.9446, relative_absolute_error: 0.0887, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0919, root_relative_squared_error: 0.3065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9444, kappa: 0.9384, kb_relative_information_score: 0.9422, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9448, predictive_accuracy: 0.9446, prior_entropy: 3.3208, recall: 0.9446, relative_absolute_error: 0.0887, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0919, root_relative_squared_error: 0.3065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5142, f_measure: 0.1105, kappa: 0.0283, kb_relative_information_score: 0.0856, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.1627, predictive_accuracy: 0.126, prior_entropy: 3.3208, recall: 0.126, relative_absolute_error: 0.9713, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4181, root_relative_squared_error: 1.3938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9896, kappa: 0.9885, kb_relative_information_score: 0.9895, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 3.3208, recall: 0.9896, relative_absolute_error: 0.0139, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0411, root_relative_squared_error: 0.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9548, kappa: 0.9499, kb_relative_information_score: 0.9121, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9552, predictive_accuracy: 0.9549, prior_entropy: 3.3208, recall: 0.9549, relative_absolute_error: 0.1666, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9926, kb_relative_information_score: 0.9938, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 3.3208, recall: 0.9934, relative_absolute_error: 0.0077, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0325, root_relative_squared_error: 0.1084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9926, kb_relative_information_score: 0.9938, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 3.3208, recall: 0.9934, relative_absolute_error: 0.0077, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0325, root_relative_squared_error: 0.1084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9075, kappa: 0.8974, kb_relative_information_score: 0.5821, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9087, predictive_accuracy: 0.9077, prior_entropy: 3.3208, recall: 0.9077, relative_absolute_error: 0.6577, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.6756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9903, kb_relative_information_score: 0.9916, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 3.3208, recall: 0.9913, relative_absolute_error: 0.0104, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0381, root_relative_squared_error: 0.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9903, kb_relative_information_score: 0.9916, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 3.3208, recall: 0.9913, relative_absolute_error: 0.0104, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0381, root_relative_squared_error: 0.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: 0.0001, kb_relative_information_score: 0.0577, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.18, number_of_instances: 10992, predictive_accuracy: 0.0984, prior_entropy: 3.3208, recall: 0.0984, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4246, root_relative_squared_error: 1.4156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9926, kb_relative_information_score: 0.9938, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 3.3208, recall: 0.9934, relative_absolute_error: 0.0077, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0325, root_relative_squared_error: 0.1084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9918, kappa: 0.9909, kb_relative_information_score: 0.9914, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9918, predictive_accuracy: 0.9918, prior_entropy: 3.3208, recall: 0.9918, relative_absolute_error: 0.0125, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0357, root_relative_squared_error: 0.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0002, kb_relative_information_score: 0.0605, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.18, number_of_instances: 10992, predictive_accuracy: 0.1025, prior_entropy: 3.3208, recall: 0.1025, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4237, root_relative_squared_error: 1.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9894, kappa: 0.9882, kb_relative_information_score: 0.9882, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9894, predictive_accuracy: 0.9894, prior_entropy: 3.3208, recall: 0.9894, relative_absolute_error: 0.0159, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0411, root_relative_squared_error: 0.1371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9899, kappa: 0.9888, kb_relative_information_score: 0.9881, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9899, predictive_accuracy: 0.9899, prior_entropy: 3.3208, recall: 0.9899, relative_absolute_error: 0.0185, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0398, root_relative_squared_error: 0.1326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9941, kappa: 0.9934, kb_relative_information_score: 0.9944, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 3.3208, recall: 0.9941, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0309, root_relative_squared_error: 0.1031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9941, kappa: 0.9934, kb_relative_information_score: 0.9941, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 3.3208, recall: 0.9941, relative_absolute_error: 0.0076, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0314, root_relative_squared_error: 0.1046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9923, kappa: 0.9914, kb_relative_information_score: 0.9925, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 3.3208, recall: 0.9923, relative_absolute_error: 0.0092, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0355, root_relative_squared_error: 0.1183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9272, kappa: 0.9194, kb_relative_information_score: 0.8524, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9289, predictive_accuracy: 0.9275, prior_entropy: 3.3208, recall: 0.9275, relative_absolute_error: 0.2643, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1182, root_relative_squared_error: 0.3939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.988, kappa: 0.9867, kb_relative_information_score: 0.9773, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.988, predictive_accuracy: 0.988, prior_entropy: 3.3208, recall: 0.988, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0459, root_relative_squared_error: 0.1531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9436, kappa: 0.9375, kb_relative_information_score: 0.9427, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.944, predictive_accuracy: 0.9438, prior_entropy: 3.3208, recall: 0.9438, relative_absolute_error: 0.0811, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.3211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.7939, kappa: 0.7693, kb_relative_information_score: 0.7826, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.7963, predictive_accuracy: 0.7924, prior_entropy: 3.3208, recall: 0.7924, relative_absolute_error: 0.2307, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.6793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.945, kappa: 0.9391, kb_relative_information_score: 0.9437, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9455, predictive_accuracy: 0.9452, prior_entropy: 3.3208, recall: 0.9452, relative_absolute_error: 0.0809, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0942, root_relative_squared_error: 0.3141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kappa: -0.0001, kb_relative_information_score: 0.0597, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.18, number_of_instances: 10992, predictive_accuracy: 0.1015, prior_entropy: 3.3208, recall: 0.1015, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4239, root_relative_squared_error: 1.4131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kappa: -0.0001, kb_relative_information_score: 0.0597, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.18, number_of_instances: 10992, predictive_accuracy: 0.1015, prior_entropy: 3.3208, recall: 0.1015, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4239, root_relative_squared_error: 1.4131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kappa: -0.0001, kb_relative_information_score: 0.0597, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.18, number_of_instances: 10992, predictive_accuracy: 0.1015, prior_entropy: 3.3208, recall: 0.1015, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4239, root_relative_squared_error: 1.4131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0002, kb_relative_information_score: 0.0568, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.18, number_of_instances: 10992, predictive_accuracy: 0.097, prior_entropy: 3.3208, recall: 0.097, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.425, root_relative_squared_error: 1.4167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0002, kb_relative_information_score: 0.0568, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.18, number_of_instances: 10992, predictive_accuracy: 0.097, prior_entropy: 3.3208, recall: 0.097, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.425, root_relative_squared_error: 1.4167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kappa: -0.0004, kb_relative_information_score: 0.0594, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.18, number_of_instances: 10992, predictive_accuracy: 0.1013, prior_entropy: 3.3208, recall: 0.1013, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.424, root_relative_squared_error: 1.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9903, kb_relative_information_score: 0.991, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 3.3208, recall: 0.9913, relative_absolute_error: 0.0118, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0376, root_relative_squared_error: 0.1254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9903, kb_relative_information_score: 0.991, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 3.3208, recall: 0.9913, relative_absolute_error: 0.0118, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0376, root_relative_squared_error: 0.1254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9903, kb_relative_information_score: 0.991, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 3.3208, recall: 0.9913, relative_absolute_error: 0.0118, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0376, root_relative_squared_error: 0.1254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5044, kappa: 0.0089, kb_relative_information_score: 0.0676, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.18, number_of_instances: 10992, predictive_accuracy: 0.1086, prior_entropy: 3.3208, recall: 0.1086, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4222, root_relative_squared_error: 1.4075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9326, kappa: 0.9253, kb_relative_information_score: 0.9118, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9331, predictive_accuracy: 0.9328, prior_entropy: 3.3208, recall: 0.9328, relative_absolute_error: 0.1483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.3458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5044, kappa: 0.0089, kb_relative_information_score: 0.0676, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.18, number_of_instances: 10992, predictive_accuracy: 0.1086, prior_entropy: 3.3208, recall: 0.1086, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4222, root_relative_squared_error: 1.4075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9554, kappa: 0.9505, kb_relative_information_score: 0.9128, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9558, predictive_accuracy: 0.9554, prior_entropy: 3.3208, recall: 0.9554, relative_absolute_error: 0.1646, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.3047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9554, kappa: 0.9505, kb_relative_information_score: 0.9128, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9558, predictive_accuracy: 0.9554, prior_entropy: 3.3208, recall: 0.9554, relative_absolute_error: 0.1646, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.3047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9899, kappa: 0.9888, kb_relative_information_score: 0.9881, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9899, predictive_accuracy: 0.9899, prior_entropy: 3.3208, recall: 0.9899, relative_absolute_error: 0.0185, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0398, root_relative_squared_error: 0.1326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9941, kappa: 0.9934, kb_relative_information_score: 0.9944, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 3.3208, recall: 0.9941, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0309, root_relative_squared_error: 0.1031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9809, kappa: 0.9788, kb_relative_information_score: 0.9714, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9809, predictive_accuracy: 0.9809, prior_entropy: 3.3208, recall: 0.9809, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0567, root_relative_squared_error: 0.1892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9809, kappa: 0.9788, kb_relative_information_score: 0.9714, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9809, predictive_accuracy: 0.9809, prior_entropy: 3.3208, recall: 0.9809, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0567, root_relative_squared_error: 0.1892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9903, kb_relative_information_score: 0.9915, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 3.3208, recall: 0.9913, relative_absolute_error: 0.0105, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0379, root_relative_squared_error: 0.1264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9941, kappa: 0.9934, kb_relative_information_score: 0.9941, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 3.3208, recall: 0.9941, relative_absolute_error: 0.0076, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0314, root_relative_squared_error: 0.1046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9923, kappa: 0.9914, kb_relative_information_score: 0.9925, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 3.3208, recall: 0.9923, relative_absolute_error: 0.0092, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0355, root_relative_squared_error: 0.1183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9923, kappa: 0.9914, kb_relative_information_score: 0.9925, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 3.3208, recall: 0.9923, relative_absolute_error: 0.0092, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0355, root_relative_squared_error: 0.1183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.988, kappa: 0.9867, kb_relative_information_score: 0.9773, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.988, predictive_accuracy: 0.988, prior_entropy: 3.3208, recall: 0.988, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0459, root_relative_squared_error: 0.1531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.988, kappa: 0.9867, kb_relative_information_score: 0.9773, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.988, predictive_accuracy: 0.988, prior_entropy: 3.3208, recall: 0.988, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0459, root_relative_squared_error: 0.1531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9436, kappa: 0.9375, kb_relative_information_score: 0.9427, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.944, predictive_accuracy: 0.9438, prior_entropy: 3.3208, recall: 0.9438, relative_absolute_error: 0.0811, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.3211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9436, kappa: 0.9375, kb_relative_information_score: 0.9427, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.944, predictive_accuracy: 0.9438, prior_entropy: 3.3208, recall: 0.9438, relative_absolute_error: 0.0811, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.3211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.7939, kappa: 0.7693, kb_relative_information_score: 0.7826, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.7963, predictive_accuracy: 0.7924, prior_entropy: 3.3208, recall: 0.7924, relative_absolute_error: 0.2307, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.6793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.945, kappa: 0.9391, kb_relative_information_score: 0.9437, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9455, predictive_accuracy: 0.9452, prior_entropy: 3.3208, recall: 0.9452, relative_absolute_error: 0.0809, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0942, root_relative_squared_error: 0.3141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kappa: -0.0001, kb_relative_information_score: 0.0597, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.18, number_of_instances: 10992, predictive_accuracy: 0.1015, prior_entropy: 3.3208, recall: 0.1015, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4239, root_relative_squared_error: 1.4131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0002, kb_relative_information_score: 0.0568, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.18, number_of_instances: 10992, predictive_accuracy: 0.097, prior_entropy: 3.3208, recall: 0.097, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.425, root_relative_squared_error: 1.4167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kappa: -0.0004, kb_relative_information_score: 0.0594, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.18, number_of_instances: 10992, predictive_accuracy: 0.1013, prior_entropy: 3.3208, recall: 0.1013, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.424, root_relative_squared_error: 1.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kappa: -0.0004, kb_relative_information_score: 0.0594, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.18, number_of_instances: 10992, predictive_accuracy: 0.1013, prior_entropy: 3.3208, recall: 0.1013, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.424, root_relative_squared_error: 1.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9903, kb_relative_information_score: 0.991, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 3.3208, recall: 0.9913, relative_absolute_error: 0.0118, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0376, root_relative_squared_error: 0.1254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9326, kappa: 0.9253, kb_relative_information_score: 0.9118, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9331, predictive_accuracy: 0.9328, prior_entropy: 3.3208, recall: 0.9328, relative_absolute_error: 0.1483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.3458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0002, kb_relative_information_score: 0.0605, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.18, number_of_instances: 10992, predictive_accuracy: 0.1025, prior_entropy: 3.3208, recall: 0.1025, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4237, root_relative_squared_error: 1.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9903, kb_relative_information_score: 0.9915, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 3.3208, recall: 0.9913, relative_absolute_error: 0.0105, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0379, root_relative_squared_error: 0.1264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9903, kb_relative_information_score: 0.9915, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 3.3208, recall: 0.9913, relative_absolute_error: 0.0105, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0379, root_relative_squared_error: 0.1264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9941, kappa: 0.9934, kb_relative_information_score: 0.9941, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 3.3208, recall: 0.9941, relative_absolute_error: 0.0076, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0314, root_relative_squared_error: 0.1046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9923, kappa: 0.9914, kb_relative_information_score: 0.9925, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 3.3208, recall: 0.9923, relative_absolute_error: 0.0092, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0355, root_relative_squared_error: 0.1183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9272, kappa: 0.9194, kb_relative_information_score: 0.8524, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9289, predictive_accuracy: 0.9275, prior_entropy: 3.3208, recall: 0.9275, relative_absolute_error: 0.2643, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1182, root_relative_squared_error: 0.3939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.988, kappa: 0.9867, kb_relative_information_score: 0.9773, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.988, predictive_accuracy: 0.988, prior_entropy: 3.3208, recall: 0.988, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0459, root_relative_squared_error: 0.1531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.7939, kappa: 0.7693, kb_relative_information_score: 0.7826, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.7963, predictive_accuracy: 0.7924, prior_entropy: 3.3208, recall: 0.7924, relative_absolute_error: 0.2307, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.6793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.7939, kappa: 0.7693, kb_relative_information_score: 0.7826, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.7963, predictive_accuracy: 0.7924, prior_entropy: 3.3208, recall: 0.7924, relative_absolute_error: 0.2307, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.6793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.945, kappa: 0.9391, kb_relative_information_score: 0.9437, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.9455, predictive_accuracy: 0.9452, prior_entropy: 3.3208, recall: 0.9452, relative_absolute_error: 0.0809, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0942, root_relative_squared_error: 0.3141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kappa: -0.0001, kb_relative_information_score: 0.0597, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.18, number_of_instances: 10992, predictive_accuracy: 0.1015, prior_entropy: 3.3208, recall: 0.1015, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4239, root_relative_squared_error: 1.4131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0002, kb_relative_information_score: 0.0568, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.18, number_of_instances: 10992, predictive_accuracy: 0.097, prior_entropy: 3.3208, recall: 0.097, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.425, root_relative_squared_error: 1.4167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0002, kb_relative_information_score: 0.0568, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.18, number_of_instances: 10992, predictive_accuracy: 0.097, prior_entropy: 3.3208, recall: 0.097, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.425, root_relative_squared_error: 1.4167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kappa: -0.0004, kb_relative_information_score: 0.0594, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.18, number_of_instances: 10992, predictive_accuracy: 0.1013, prior_entropy: 3.3208, recall: 0.1013, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.424, root_relative_squared_error: 1.4134,

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