Task
Supervised Classification on steel-plates-fault

Supervised Classification on steel-plates-fault

Task 9967 Supervised Classification steel-plates-fault 142880 runs submitted
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  • OpenML100 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9912, kappa: 0.9807, kb_relative_information_score: 1901.5967, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9913, predictive_accuracy: 0.9912, prior_entropy: 0.9313, recall: 0.9912, relative_absolute_error: 0.0193, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0936, root_relative_squared_error: 0.1966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 392.6774, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.7653, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5888, root_relative_squared_error: 1.2372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5171, f_measure: 0.5429, kappa: 0.0442, kb_relative_information_score: 445.5816, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7786, predictive_accuracy: 0.6651, prior_entropy: 0.9313, recall: 0.6651, relative_absolute_error: 0.7391, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5787, root_relative_squared_error: 1.2159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 1936.0995, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9313, recall: 0.999, relative_absolute_error: 0.0023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0321, root_relative_squared_error: 0.0674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5276, f_measure: 0.5717, kappa: 0.0551, kb_relative_information_score: 26.9484, mean_absolute_error: 0.4286, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.572, predictive_accuracy: 0.5714, prior_entropy: 0.9313, recall: 0.5714, relative_absolute_error: 0.9461, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.6547, root_relative_squared_error: 1.3756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9948, kappa: 0.9886, kb_relative_information_score: 1917.698, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9949, predictive_accuracy: 0.9948, prior_entropy: 0.9313, recall: 0.9948, relative_absolute_error: 0.0114, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0718, root_relative_squared_error: 0.1508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1938.3996, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9313, recall: 0.9995, relative_absolute_error: 0.0011, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0227, root_relative_squared_error: 0.0477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5171, f_measure: 0.5429, kappa: 0.0442, kb_relative_information_score: 445.5816, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7786, predictive_accuracy: 0.6651, prior_entropy: 0.9313, recall: 0.6651, relative_absolute_error: 0.7391, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5787, root_relative_squared_error: 1.2159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5541, f_measure: 0.6063, kappa: 0.1304, kb_relative_information_score: 482.3845, mean_absolute_error: 0.3266, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6547, predictive_accuracy: 0.6734, prior_entropy: 0.9313, recall: 0.6734, relative_absolute_error: 0.7209, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5715, root_relative_squared_error: 1.2009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9974, kappa: 0.9943, kb_relative_information_score: 1929.1989, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.9313, recall: 0.9974, relative_absolute_error: 0.0057, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0508, root_relative_squared_error: 0.1066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 392.6774, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.7653, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5888, root_relative_squared_error: 1.2372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6241, f_measure: 0.6825, kappa: 0.3013, kb_relative_information_score: 776.8078, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8137, predictive_accuracy: 0.7393, prior_entropy: 0.9313, recall: 0.7393, relative_absolute_error: 0.5754, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5106, root_relative_squared_error: 1.0728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 392.6774, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.7653, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5888, root_relative_squared_error: 1.2372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 1936.0995, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9313, recall: 0.999, relative_absolute_error: 0.0023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0321, root_relative_squared_error: 0.0674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4802, f_measure: 0.5288, kappa: -0.0395, kb_relative_information_score: -163.9667, mean_absolute_error: 0.4714, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.5291, predictive_accuracy: 0.5286, prior_entropy: 0.9313, recall: 0.5286, relative_absolute_error: 1.0405, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.6866, root_relative_squared_error: 1.4426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.519, f_measure: 0.5644, kappa: 0.038, kb_relative_information_score: -2.9539, mean_absolute_error: 0.4353, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.5642, predictive_accuracy: 0.5647, prior_entropy: 0.9313, recall: 0.5647, relative_absolute_error: 0.9609, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.6598, root_relative_squared_error: 1.3864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 1936.0995, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9313, recall: 0.999, relative_absolute_error: 0.0023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0321, root_relative_squared_error: 0.0674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.9586, kappa: 0.9076, kb_relative_information_score: 1758.9854, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9617, predictive_accuracy: 0.9593, prior_entropy: 0.9313, recall: 0.9593, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.4239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4262, f_measure: 0.4808, kappa: -0.1481, kb_relative_information_score: -373.2832, mean_absolute_error: 0.5183, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4799, predictive_accuracy: 0.4817, prior_entropy: 0.9313, recall: 0.4817, relative_absolute_error: 1.144, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.7199, root_relative_squared_error: 1.5127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5208, f_measure: 0.5485, kappa: 0.0537, kb_relative_information_score: 457.0825, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7797, predictive_accuracy: 0.6677, prior_entropy: 0.9313, recall: 0.6677, relative_absolute_error: 0.7335, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5765, root_relative_squared_error: 1.2112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.755, kappa: 0.4513, kb_relative_information_score: 990.7247, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8395, predictive_accuracy: 0.7872, prior_entropy: 0.9313, recall: 0.7872, relative_absolute_error: 0.4696, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 1936.0995, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9313, recall: 0.999, relative_absolute_error: 0.0023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0321, root_relative_squared_error: 0.0674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.9367, kappa: 0.8582, kb_relative_information_score: 1664.678, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9422, predictive_accuracy: 0.9382, prior_entropy: 0.9313, recall: 0.9382, relative_absolute_error: 0.1365, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2486, root_relative_squared_error: 0.5224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 392.6774, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.7653, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5888, root_relative_squared_error: 1.2372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5353, f_measure: 0.579, kappa: 0.0705, kb_relative_information_score: 61.4512, mean_absolute_error: 0.4209, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.5789, predictive_accuracy: 0.5791, prior_entropy: 0.9313, recall: 0.5791, relative_absolute_error: 0.929, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.6488, root_relative_squared_error: 1.3632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 392.6774, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.7653, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5888, root_relative_squared_error: 1.2372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5367, f_measure: 0.5802, kappa: 0.0735, kb_relative_information_score: 66.0515, mean_absolute_error: 0.4199, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.5803, predictive_accuracy: 0.5801, prior_entropy: 0.9313, recall: 0.5801, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.648, root_relative_squared_error: 1.3615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4827, f_measure: 0.5322, kappa: -0.0347, kb_relative_information_score: -143.265, mean_absolute_error: 0.4668, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.5313, predictive_accuracy: 0.5332, prior_entropy: 0.9313, recall: 0.5332, relative_absolute_error: 1.0303, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.6832, root_relative_squared_error: 1.4355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5332, f_measure: 0.5762, kappa: 0.0662, kb_relative_information_score: 45.3499, mean_absolute_error: 0.4245, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.577, predictive_accuracy: 0.5755, prior_entropy: 0.9313, recall: 0.5755, relative_absolute_error: 0.937, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.6516, root_relative_squared_error: 1.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 1936.0995, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9313, recall: 0.999, relative_absolute_error: 0.0023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0321, root_relative_squared_error: 0.0674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6309, f_measure: 0.6903, kappa: 0.3144, kb_relative_information_score: 786.0085, mean_absolute_error: 0.2586, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7967, predictive_accuracy: 0.7414, prior_entropy: 0.9313, recall: 0.7414, relative_absolute_error: 0.5708, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5086, root_relative_squared_error: 1.0686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5435, f_measure: 0.5861, kappa: 0.0869, kb_relative_information_score: 91.3535, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.5864, predictive_accuracy: 0.5858, prior_entropy: 0.9313, recall: 0.5858, relative_absolute_error: 0.9143, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.6436, root_relative_squared_error: 1.3523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6204, f_measure: 0.655, kappa: 0.2398, kb_relative_information_score: 397.2777, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6556, predictive_accuracy: 0.6543, prior_entropy: 0.9313, recall: 0.6543, relative_absolute_error: 0.763, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.588, root_relative_squared_error: 1.2354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3886, f_measure: 0.4465, kappa: -0.2233, kb_relative_information_score: -527.3954, mean_absolute_error: 0.5528, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4458, predictive_accuracy: 0.4472, prior_entropy: 0.9313, recall: 0.4472, relative_absolute_error: 1.2202, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.7435, root_relative_squared_error: 1.5622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 392.6774, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.7653, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5888, root_relative_squared_error: 1.2372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.9624, kappa: 0.916, kb_relative_information_score: 1775.0867, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9649, predictive_accuracy: 0.9629, prior_entropy: 0.9313, recall: 0.9629, relative_absolute_error: 0.0819, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.4047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7244, f_measure: 0.7847, kappa: 0.5154, kb_relative_information_score: 1087.3323, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8521, predictive_accuracy: 0.8089, prior_entropy: 0.9313, recall: 0.8089, relative_absolute_error: 0.4219, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.9186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5325, f_measure: 0.5762, kappa: 0.065, kb_relative_information_score: 47.6501, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.5764, predictive_accuracy: 0.576, prior_entropy: 0.9313, recall: 0.576, relative_absolute_error: 0.9359, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.6512, root_relative_squared_error: 1.3682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9761, kappa: 0.9468, kb_relative_information_score: 1834.8914, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9771, predictive_accuracy: 0.9763, prior_entropy: 0.9313, recall: 0.9763, relative_absolute_error: 0.0523, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.3235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1938.3996, mean_absolute_error: 0.0005, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9313, recall: 0.9995, relative_absolute_error: 0.0011, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0227, root_relative_squared_error: 0.0477,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5357, f_measure: 0.5703, kappa: 0.0912, kb_relative_information_score: 503.0861, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7843, predictive_accuracy: 0.678, prior_entropy: 0.9313, recall: 0.678, relative_absolute_error: 0.7107, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5674, root_relative_squared_error: 1.1923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6002, f_measure: 0.6366, kappa: 0.1996, kb_relative_information_score: 314.4712, mean_absolute_error: 0.3642, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6374, predictive_accuracy: 0.6358, prior_entropy: 0.9313, recall: 0.6358, relative_absolute_error: 0.804, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.6035, root_relative_squared_error: 1.2681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9928, kappa: 0.9842, kb_relative_information_score: 1908.4973, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9929, predictive_accuracy: 0.9928, prior_entropy: 0.9313, recall: 0.9928, relative_absolute_error: 0.0159, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.1784,

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