Task
Supervised Classification on texture

Supervised Classification on texture

Task 125922 Supervised Classification texture 20198 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_98 study_99
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20198 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9944, kappa: 0.9938, kb_relative_information_score: 0.9925, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9944, number_of_instances: 5500, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 3.4594, relative_absolute_error: 0.0126, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0333, root_relative_squared_error: 0.1157, unweighted_recall: 0.9944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9969, kappa: 0.9966, kb_relative_information_score: 0.9858, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9969, number_of_instances: 5500, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 3.4594, relative_absolute_error: 0.0316, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0333, root_relative_squared_error: 0.1158, unweighted_recall: 0.9969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9973, kappa: 0.997, kb_relative_information_score: 0.9885, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9973, number_of_instances: 5500, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 3.4594, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.03, root_relative_squared_error: 0.1042, unweighted_recall: 0.9973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9976, kappa: 0.9974, kb_relative_information_score: 0.9934, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9976, number_of_instances: 5500, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 3.4594, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0272, root_relative_squared_error: 0.0944, unweighted_recall: 0.9976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9611, kappa: 0.9576, kb_relative_information_score: 0.6181, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9615, number_of_instances: 5500, precision: 0.9617, predictive_accuracy: 0.9615, prior_entropy: 3.4594, relative_absolute_error: 0.6395, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.6697, unweighted_recall: 0.9615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9798, kappa: 0.9778, kb_relative_information_score: 0.9153, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9798, number_of_instances: 5500, precision: 0.98, predictive_accuracy: 0.9798, prior_entropy: 3.4594, relative_absolute_error: 0.1854, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0798, root_relative_squared_error: 0.2775, unweighted_recall: 0.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.982, kappa: 0.9802, kb_relative_information_score: 0.8997, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.1653, weighted_recall: 0.982, number_of_instances: 5500, precision: 0.9823, predictive_accuracy: 0.982, prior_entropy: 3.4594, relative_absolute_error: 0.2198, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.085, root_relative_squared_error: 0.2956, unweighted_recall: 0.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.998, kappa: 0.9978, kb_relative_information_score: 0.9941, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.1653, weighted_recall: 0.998, number_of_instances: 5500, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 3.4594, relative_absolute_error: 0.0114, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0265, root_relative_squared_error: 0.0922, unweighted_recall: 0.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9924, kappa: 0.9916, kb_relative_information_score: 0.9584, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9924, number_of_instances: 5500, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 3.4594, relative_absolute_error: 0.0948, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0525, root_relative_squared_error: 0.1826, unweighted_recall: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9975, kappa: 0.9972, kb_relative_information_score: 0.9931, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9975, number_of_instances: 5500, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 3.4594, relative_absolute_error: 0.014, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0266, root_relative_squared_error: 0.0926, unweighted_recall: 0.9975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9978, kappa: 0.9976, kb_relative_information_score: 0.9925, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9978, number_of_instances: 5500, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 3.4594, relative_absolute_error: 0.016, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0263, root_relative_squared_error: 0.0916, unweighted_recall: 0.9978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9944, kappa: 0.9938, kb_relative_information_score: 0.9925, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9944, number_of_instances: 5500, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 3.4594, relative_absolute_error: 0.0126, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0333, root_relative_squared_error: 0.1157, unweighted_recall: 0.9944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9929, kappa: 0.9922, kb_relative_information_score: 0.9667, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9929, number_of_instances: 5500, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 3.4594, relative_absolute_error: 0.0751, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.1696, unweighted_recall: 0.9929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9965, kappa: 0.9962, kb_relative_information_score: 0.9857, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9965, number_of_instances: 5500, precision: 0.9966, predictive_accuracy: 0.9965, prior_entropy: 3.4594, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0332, root_relative_squared_error: 0.1157, unweighted_recall: 0.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9944, kappa: 0.9938, kb_relative_information_score: 0.9925, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9944, number_of_instances: 5500, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 3.4594, relative_absolute_error: 0.0126, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0333, root_relative_squared_error: 0.1157, unweighted_recall: 0.9944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9978, kappa: 0.9976, kb_relative_information_score: 0.9951, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9978, number_of_instances: 5500, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 3.4594, relative_absolute_error: 0.0103, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0201, root_relative_squared_error: 0.07, unweighted_recall: 0.9978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9945, kappa: 0.994, kb_relative_information_score: 0.9852, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9945, number_of_instances: 5500, precision: 0.9946, predictive_accuracy: 0.9945, prior_entropy: 3.4594, relative_absolute_error: 0.0322, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0334, root_relative_squared_error: 0.1161, unweighted_recall: 0.9945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9632, kappa: 0.9596, kb_relative_information_score: 0.8496, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9633, number_of_instances: 5500, precision: 0.9633, predictive_accuracy: 0.9633, prior_entropy: 3.4594, relative_absolute_error: 0.2948, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1149, root_relative_squared_error: 0.3997, unweighted_recall: 0.9633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9838, kappa: 0.9822, kb_relative_information_score: 0.9522, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9838, number_of_instances: 5500, precision: 0.9839, predictive_accuracy: 0.9838, prior_entropy: 3.4594, relative_absolute_error: 0.1015, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0611, root_relative_squared_error: 0.2125, unweighted_recall: 0.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.967, kappa: 0.9638, kb_relative_information_score: 0.7789, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9671, number_of_instances: 5500, precision: 0.967, predictive_accuracy: 0.9671, prior_entropy: 3.4594, relative_absolute_error: 0.4279, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.4933, unweighted_recall: 0.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.8835, kappa: 0.8746, kb_relative_information_score: 0.5027, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.1653, weighted_recall: 0.886, number_of_instances: 5500, precision: 0.8942, predictive_accuracy: 0.886, prior_entropy: 3.4594, relative_absolute_error: 0.7393, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.7718, unweighted_recall: 0.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9924, kappa: 0.9916, kb_relative_information_score: 0.958, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9924, number_of_instances: 5500, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 3.4594, relative_absolute_error: 0.0958, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0528, root_relative_squared_error: 0.1836, unweighted_recall: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9924, kappa: 0.9916, kb_relative_information_score: 0.958, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9924, number_of_instances: 5500, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 3.4594, relative_absolute_error: 0.0958, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0528, root_relative_squared_error: 0.1836, unweighted_recall: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9975, kappa: 0.9972, kb_relative_information_score: 0.9927, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9975, number_of_instances: 5500, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 3.4594, relative_absolute_error: 0.0149, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0274, root_relative_squared_error: 0.0953, unweighted_recall: 0.9975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9942, kappa: 0.9936, kb_relative_information_score: 0.9925, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9942, number_of_instances: 5500, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 3.4594, relative_absolute_error: 0.0126, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0332, root_relative_squared_error: 0.1155, unweighted_recall: 0.9942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.967, kappa: 0.9638, kb_relative_information_score: 0.7789, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9671, number_of_instances: 5500, precision: 0.967, predictive_accuracy: 0.9671, prior_entropy: 3.4594, relative_absolute_error: 0.4279, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.4933, unweighted_recall: 0.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9924, kappa: 0.9916, kb_relative_information_score: 0.958, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9924, number_of_instances: 5500, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 3.4594, relative_absolute_error: 0.0958, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0528, root_relative_squared_error: 0.1836, unweighted_recall: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9924, kappa: 0.9916, kb_relative_information_score: 0.958, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9924, number_of_instances: 5500, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 3.4594, relative_absolute_error: 0.0958, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0528, root_relative_squared_error: 0.1836, unweighted_recall: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9924, kappa: 0.9916, kb_relative_information_score: 0.958, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9924, number_of_instances: 5500, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 3.4594, relative_absolute_error: 0.0958, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0528, root_relative_squared_error: 0.1836, unweighted_recall: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.982, kappa: 0.9802, kb_relative_information_score: 0.8997, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.1653, weighted_recall: 0.982, number_of_instances: 5500, precision: 0.9823, predictive_accuracy: 0.982, prior_entropy: 3.4594, relative_absolute_error: 0.2198, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.085, root_relative_squared_error: 0.2956, unweighted_recall: 0.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9942, kappa: 0.9936, kb_relative_information_score: 0.9925, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9942, number_of_instances: 5500, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 3.4594, relative_absolute_error: 0.0126, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0332, root_relative_squared_error: 0.1155, unweighted_recall: 0.9942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9924, kappa: 0.9916, kb_relative_information_score: 0.958, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9924, number_of_instances: 5500, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 3.4594, relative_absolute_error: 0.0958, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0528, root_relative_squared_error: 0.1836, unweighted_recall: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9924, kappa: 0.9916, kb_relative_information_score: 0.958, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9924, number_of_instances: 5500, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 3.4594, relative_absolute_error: 0.0958, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0528, root_relative_squared_error: 0.1836, unweighted_recall: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9924, kappa: 0.9916, kb_relative_information_score: 0.958, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9924, number_of_instances: 5500, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 3.4594, relative_absolute_error: 0.0958, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0528, root_relative_squared_error: 0.1836, unweighted_recall: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.8835, kappa: 0.8746, kb_relative_information_score: 0.5027, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.1653, weighted_recall: 0.886, number_of_instances: 5500, precision: 0.8942, predictive_accuracy: 0.886, prior_entropy: 3.4594, relative_absolute_error: 0.7393, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.7718, unweighted_recall: 0.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9924, kappa: 0.9916, kb_relative_information_score: 0.958, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9924, number_of_instances: 5500, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 3.4594, relative_absolute_error: 0.0958, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0528, root_relative_squared_error: 0.1836, unweighted_recall: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9924, kappa: 0.9916, kb_relative_information_score: 0.958, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9924, number_of_instances: 5500, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 3.4594, relative_absolute_error: 0.0958, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0528, root_relative_squared_error: 0.1836, unweighted_recall: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9924, kappa: 0.9916, kb_relative_information_score: 0.958, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9924, number_of_instances: 5500, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 3.4594, relative_absolute_error: 0.0958, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0528, root_relative_squared_error: 0.1836, unweighted_recall: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9924, kappa: 0.9916, kb_relative_information_score: 0.958, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9924, number_of_instances: 5500, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 3.4594, relative_absolute_error: 0.0958, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0528, root_relative_squared_error: 0.1836, unweighted_recall: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.8835, kappa: 0.8746, kb_relative_information_score: 0.5027, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.1653, weighted_recall: 0.886, number_of_instances: 5500, precision: 0.8942, predictive_accuracy: 0.886, prior_entropy: 3.4594, relative_absolute_error: 0.7393, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.7718, unweighted_recall: 0.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9924, kappa: 0.9916, kb_relative_information_score: 0.958, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9924, number_of_instances: 5500, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 3.4594, relative_absolute_error: 0.0958, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0528, root_relative_squared_error: 0.1836, unweighted_recall: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.967, kappa: 0.9638, kb_relative_information_score: 0.7789, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9671, number_of_instances: 5500, precision: 0.967, predictive_accuracy: 0.9671, prior_entropy: 3.4594, relative_absolute_error: 0.4279, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.4933, unweighted_recall: 0.9671,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9924, kappa: 0.9916, kb_relative_information_score: 0.958, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9924, number_of_instances: 5500, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 3.4594, relative_absolute_error: 0.0958, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0528, root_relative_squared_error: 0.1836, unweighted_recall: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9924, kappa: 0.9916, kb_relative_information_score: 0.958, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9924, number_of_instances: 5500, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 3.4594, relative_absolute_error: 0.0958, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0528, root_relative_squared_error: 0.1836, unweighted_recall: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9924, kappa: 0.9916, kb_relative_information_score: 0.958, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9924, number_of_instances: 5500, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 3.4594, relative_absolute_error: 0.0958, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0528, root_relative_squared_error: 0.1836, unweighted_recall: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9973, kappa: 0.997, kb_relative_information_score: 0.9885, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9973, number_of_instances: 5500, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 3.4594, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.03, root_relative_squared_error: 0.1042, unweighted_recall: 0.9973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9978, kappa: 0.9976, kb_relative_information_score: 0.9925, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9978, number_of_instances: 5500, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 3.4594, relative_absolute_error: 0.016, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0263, root_relative_squared_error: 0.0916, unweighted_recall: 0.9978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9924, kappa: 0.9916, kb_relative_information_score: 0.958, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9924, number_of_instances: 5500, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 3.4594, relative_absolute_error: 0.0958, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0528, root_relative_squared_error: 0.1836, unweighted_recall: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9924, kappa: 0.9916, kb_relative_information_score: 0.958, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9924, number_of_instances: 5500, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 3.4594, relative_absolute_error: 0.0958, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0528, root_relative_squared_error: 0.1836, unweighted_recall: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9924, kappa: 0.9916, kb_relative_information_score: 0.9584, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9924, number_of_instances: 5500, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 3.4594, relative_absolute_error: 0.0948, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0525, root_relative_squared_error: 0.1826, unweighted_recall: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9924, kappa: 0.9916, kb_relative_information_score: 0.958, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9924, number_of_instances: 5500, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 3.4594, relative_absolute_error: 0.0958, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0528, root_relative_squared_error: 0.1836, unweighted_recall: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9924, kappa: 0.9916, kb_relative_information_score: 0.958, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9924, number_of_instances: 5500, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 3.4594, relative_absolute_error: 0.0958, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0528, root_relative_squared_error: 0.1836, unweighted_recall: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9924, kappa: 0.9916, kb_relative_information_score: 0.958, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9924, number_of_instances: 5500, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 3.4594, relative_absolute_error: 0.0958, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0528, root_relative_squared_error: 0.1836, unweighted_recall: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9924, kappa: 0.9916, kb_relative_information_score: 0.958, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9924, number_of_instances: 5500, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 3.4594, relative_absolute_error: 0.0958, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0528, root_relative_squared_error: 0.1836, unweighted_recall: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9924, kappa: 0.9916, kb_relative_information_score: 0.958, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9924, number_of_instances: 5500, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 3.4594, relative_absolute_error: 0.0958, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0528, root_relative_squared_error: 0.1836, unweighted_recall: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9924, kappa: 0.9916, kb_relative_information_score: 0.958, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9924, number_of_instances: 5500, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 3.4594, relative_absolute_error: 0.0958, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0528, root_relative_squared_error: 0.1836, unweighted_recall: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9924, kappa: 0.9916, kb_relative_information_score: 0.958, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.1653, weighted_recall: 0.9924, number_of_instances: 5500, precision: 0.9924, predictive_accuracy: 0.9924, prior_entropy: 3.4594, relative_absolute_error: 0.0958, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0528, root_relative_squared_error: 0.1836, unweighted_recall: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.8835, kappa: 0.8746, kb_relative_information_score: 0.5027, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.1653, weighted_recall: 0.886, number_of_instances: 5500, precision: 0.8942, predictive_accuracy: 0.886, prior_entropy: 3.4594, relative_absolute_error: 0.7393, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.7718, unweighted_recall: 0.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.8835, kappa: 0.8746, kb_relative_information_score: 0.5027, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.1653, weighted_recall: 0.886, number_of_instances: 5500, precision: 0.8942, predictive_accuracy: 0.886, prior_entropy: 3.4594, relative_absolute_error: 0.7393, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.7718, unweighted_recall: 0.886,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs