OpenML
Supervised Classification on wine

Supervised Classification on wine

Task 2993 Supervised Classification wine 183 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.9059, kappa: 0.8573, kb_relative_information_score: 1531.0909, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.9058, predictive_accuracy: 0.9062, prior_entropy: 1.5674, recall: 0.9062, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.511, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9398, kappa: 0.9089, kb_relative_information_score: 1619.354, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.9401, predictive_accuracy: 0.9399, prior_entropy: 1.5674, recall: 0.9399, relative_absolute_error: 0.1042, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.3753, scimark_benchmark: 851.2074, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5514, f_measure: 0.3495, kappa: 0.1108, kb_relative_information_score: 400.6451, mean_absolute_error: 0.3596, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.7707, predictive_accuracy: 0.4607, prior_entropy: 1.5674, recall: 0.4607, relative_absolute_error: 0.8191, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5996, root_relative_squared_error: 1.28, scimark_benchmark: 931.771, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9797, kappa: 0.9693, kb_relative_information_score: 1720.7316, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.9798, predictive_accuracy: 0.9798, prior_entropy: 1.5674, recall: 0.9798, relative_absolute_error: 0.0397, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.2174, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9797, kappa: 0.9693, kb_relative_information_score: 1720.7316, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.9798, predictive_accuracy: 0.9798, prior_entropy: 1.5674, recall: 0.9798, relative_absolute_error: 0.0397, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.2174, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9797, kappa: 0.9693, kb_relative_information_score: 1720.7316, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.9798, predictive_accuracy: 0.9798, prior_entropy: 1.5674, recall: 0.9798, relative_absolute_error: 0.0397, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.2174, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9797, kappa: 0.9693, kb_relative_information_score: 1720.7316, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.9798, predictive_accuracy: 0.9798, prior_entropy: 1.5674, recall: 0.9798, relative_absolute_error: 0.0397, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.2174, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9381, kappa: 0.9063, kb_relative_information_score: 1479.8307, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.9383, predictive_accuracy: 0.9382, prior_entropy: 1.5674, recall: 0.9382, relative_absolute_error: 0.2185, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.3978, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9797, kappa: 0.9693, kb_relative_information_score: 1720.7316, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.9798, predictive_accuracy: 0.9798, prior_entropy: 1.5674, recall: 0.9798, relative_absolute_error: 0.0397, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.2174, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9792, kappa: 0.9685, kb_relative_information_score: 1584.039, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.9796, predictive_accuracy: 0.9792, prior_entropy: 1.5674, recall: 0.9792, relative_absolute_error: 0.1512, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1318, root_relative_squared_error: 0.2813, scimark_benchmark: 931.771, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5514, f_measure: 0.3495, kappa: 0.1108, kb_relative_information_score: 400.6451, mean_absolute_error: 0.3596, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.7707, predictive_accuracy: 0.4607, prior_entropy: 1.5674, recall: 0.4607, relative_absolute_error: 0.8191, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5996, root_relative_squared_error: 1.28, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9724, kappa: 0.9583, kb_relative_information_score: 1684.3359, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.973, predictive_accuracy: 0.9725, prior_entropy: 1.5674, recall: 0.9725, relative_absolute_error: 0.0674, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1255, root_relative_squared_error: 0.2679, scimark_benchmark: 936.3373, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9792, kappa: 0.9685, kb_relative_information_score: 1584.039, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.9796, predictive_accuracy: 0.9792, prior_entropy: 1.5674, recall: 0.9792, relative_absolute_error: 0.1512, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1318, root_relative_squared_error: 0.2813, scimark_benchmark: 947.1781, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.9059, kappa: 0.8573, kb_relative_information_score: 1531.0909, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.9058, predictive_accuracy: 0.9062, prior_entropy: 1.5674, recall: 0.9062, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.511, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9398, kappa: 0.9089, kb_relative_information_score: 1619.354, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.9401, predictive_accuracy: 0.9399, prior_entropy: 1.5674, recall: 0.9399, relative_absolute_error: 0.1042, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.3753, scimark_benchmark: 906.5979, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5514, f_measure: 0.3495, kappa: 0.1108, kb_relative_information_score: 400.6451, mean_absolute_error: 0.3596, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.7707, predictive_accuracy: 0.4607, prior_entropy: 1.5674, recall: 0.4607, relative_absolute_error: 0.8191, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5996, root_relative_squared_error: 1.28, scimark_benchmark: 908.9569, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5514, f_measure: 0.3495, kappa: 0.1108, kb_relative_information_score: 400.6451, mean_absolute_error: 0.3596, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.7707, predictive_accuracy: 0.4607, prior_entropy: 1.5674, recall: 0.4607, relative_absolute_error: 0.8191, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5996, root_relative_squared_error: 1.28, scimark_benchmark: 934.5964, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9876, kappa: 0.9813, kb_relative_information_score: 1740.0256, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.9878, predictive_accuracy: 0.9876, prior_entropy: 1.5674, recall: 0.9876, relative_absolute_error: 0.0271, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.0881, root_relative_squared_error: 0.188, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9797, kappa: 0.9693, kb_relative_information_score: 1720.7316, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.9798, predictive_accuracy: 0.9798, prior_entropy: 1.5674, recall: 0.9798, relative_absolute_error: 0.0397, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.2174, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9797, kappa: 0.9693, kb_relative_information_score: 1720.7316, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.9798, predictive_accuracy: 0.9798, prior_entropy: 1.5674, recall: 0.9798, relative_absolute_error: 0.0397, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.2174, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9797, kappa: 0.9693, kb_relative_information_score: 1720.7316, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.9798, predictive_accuracy: 0.9798, prior_entropy: 1.5674, recall: 0.9798, relative_absolute_error: 0.0397, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.2174, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9381, kappa: 0.9063, kb_relative_information_score: 1479.8307, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.9383, predictive_accuracy: 0.9382, prior_entropy: 1.5674, recall: 0.9382, relative_absolute_error: 0.2185, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.3978, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9797, kappa: 0.9693, kb_relative_information_score: 1720.7316, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.9798, predictive_accuracy: 0.9798, prior_entropy: 1.5674, recall: 0.9798, relative_absolute_error: 0.0397, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.2174, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9724, kappa: 0.9583, kb_relative_information_score: 1684.3359, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.973, predictive_accuracy: 0.9725, prior_entropy: 1.5674, recall: 0.9725, relative_absolute_error: 0.0674, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1255, root_relative_squared_error: 0.2679, scimark_benchmark: 936.3213, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9792, kappa: 0.9685, kb_relative_information_score: 1584.039, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.9796, predictive_accuracy: 0.9792, prior_entropy: 1.5674, recall: 0.9792, relative_absolute_error: 0.1512, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1318, root_relative_squared_error: 0.2813, scimark_benchmark: 936.3213, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.982, kappa: 0.9727, kb_relative_information_score: 1606.9427, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.982, predictive_accuracy: 0.982, prior_entropy: 1.5674, recall: 0.982, relative_absolute_error: 0.1351, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1208, root_relative_squared_error: 0.2578, scimark_benchmark: 737.6064, usercpu_time_millis: 2090, usercpu_time_millis_testing: 1170, usercpu_time_millis_training: 920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9803, kappa: 0.9702, kb_relative_information_score: 1607.5201, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.9804, predictive_accuracy: 0.9803, prior_entropy: 1.5674, recall: 0.9803, relative_absolute_error: 0.1343, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.121, root_relative_squared_error: 0.2584, scimark_benchmark: 904.5548, usercpu_time_millis: 570, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9809, kappa: 0.971, kb_relative_information_score: 1606.7768, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.981, predictive_accuracy: 0.9809, prior_entropy: 1.5674, recall: 0.9809, relative_absolute_error: 0.1341, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.2618, scimark_benchmark: 945.2015, usercpu_time_millis: 240, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9826, kappa: 0.9736, kb_relative_information_score: 1609.6457, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.9826, predictive_accuracy: 0.9826, prior_entropy: 1.5674, recall: 0.9826, relative_absolute_error: 0.1311, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1239, root_relative_squared_error: 0.2644, scimark_benchmark: 933.9243, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9719, kappa: 0.9574, kb_relative_information_score: 1596.3687, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 1.5674, recall: 0.9719, relative_absolute_error: 0.1384, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.137, root_relative_squared_error: 0.2925, scimark_benchmark: 889.4922, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4832, f_measure: 0.2275, kb_relative_information_score: 1.1002, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.1591, predictive_accuracy: 0.3989, prior_entropy: 1.5674, recall: 0.3989, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4685, root_relative_squared_error: 1.0002, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9188, kappa: 0.8789, kb_relative_information_score: 1581.7527, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.9223, predictive_accuracy: 0.9197, prior_entropy: 1.5674, recall: 0.9197, relative_absolute_error: 0.1273, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.4656, scimark_benchmark: 936.7286, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9178, kappa: 0.8772, kb_relative_information_score: 1576.0641, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.9213, predictive_accuracy: 0.9185, prior_entropy: 1.5674, recall: 0.9185, relative_absolute_error: 0.131, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.22, root_relative_squared_error: 0.4695, scimark_benchmark: 935.6052, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9116, kappa: 0.8679, kb_relative_information_score: 1557.8588, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.9149, predictive_accuracy: 0.9124, prior_entropy: 1.5674, recall: 0.9124, relative_absolute_error: 0.1429, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.4774, scimark_benchmark: 940.0055, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.8816, kappa: 0.8242, kb_relative_information_score: 1480.6385, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.8869, predictive_accuracy: 0.8831, prior_entropy: 1.5674, recall: 0.8831, relative_absolute_error: 0.1957, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2486, root_relative_squared_error: 0.5307, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.8392, kappa: 0.7616, kb_relative_information_score: 1298.9041, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.8433, predictive_accuracy: 0.8416, prior_entropy: 1.5674, recall: 0.8416, relative_absolute_error: 0.3288, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2798, root_relative_squared_error: 0.5974, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2275, kb_relative_information_score: 244.2529, mean_absolute_error: 0.4007, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.1591, predictive_accuracy: 0.3989, prior_entropy: 1.5674, recall: 0.3989, relative_absolute_error: 0.9129, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.633, root_relative_squared_error: 1.3514, scimark_benchmark: 941.9549,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9381, kappa: 0.9063, kb_relative_information_score: 1479.8307, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.9383, predictive_accuracy: 0.9382, prior_entropy: 1.5674, recall: 0.9382, relative_absolute_error: 0.2185, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.3978, scimark_benchmark: 1342.2845, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9792, kappa: 0.9685, kb_relative_information_score: 1584.039, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.9796, predictive_accuracy: 0.9792, prior_entropy: 1.5674, recall: 0.9792, relative_absolute_error: 0.1512, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1318, root_relative_squared_error: 0.2813, scimark_benchmark: 1367.3264, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9398, kappa: 0.9089, kb_relative_information_score: 1619.354, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.9401, predictive_accuracy: 0.9399, prior_entropy: 1.5674, recall: 0.9399, relative_absolute_error: 0.1042, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.3753, scimark_benchmark: 1346.2927, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5514, f_measure: 0.3495, kappa: 0.1108, kb_relative_information_score: 400.6451, mean_absolute_error: 0.3596, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.7707, predictive_accuracy: 0.4607, prior_entropy: 1.5674, recall: 0.4607, relative_absolute_error: 0.8191, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5996, root_relative_squared_error: 1.28, scimark_benchmark: 1336.0954, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9797, kappa: 0.9693, kb_relative_information_score: 1720.7316, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.9798, predictive_accuracy: 0.9798, prior_entropy: 1.5674, recall: 0.9798, relative_absolute_error: 0.0397, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.2174, scimark_benchmark: 1338.7159,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9381, kappa: 0.9063, kb_relative_information_score: 1479.8307, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.9383, predictive_accuracy: 0.9382, prior_entropy: 1.5674, recall: 0.9382, relative_absolute_error: 0.2185, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.3978, scimark_benchmark: 1320.8688, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.9059, kappa: 0.8573, kb_relative_information_score: 1531.0909, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.9058, predictive_accuracy: 0.9062, prior_entropy: 1.5674, recall: 0.9062, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.511, scimark_benchmark: 1344.0499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5514, f_measure: 0.3495, kappa: 0.1108, kb_relative_information_score: 400.6451, mean_absolute_error: 0.3596, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.7707, predictive_accuracy: 0.4607, prior_entropy: 1.5674, recall: 0.4607, relative_absolute_error: 0.8191, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5996, root_relative_squared_error: 1.28, scimark_benchmark: 1370.3901, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9797, kappa: 0.9693, kb_relative_information_score: 1720.7316, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.9798, predictive_accuracy: 0.9798, prior_entropy: 1.5674, recall: 0.9798, relative_absolute_error: 0.0397, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.2174, scimark_benchmark: 1327.6367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9797, kappa: 0.9693, kb_relative_information_score: 1720.7316, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.9798, predictive_accuracy: 0.9798, prior_entropy: 1.5674, recall: 0.9798, relative_absolute_error: 0.0397, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.2174, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5514, f_measure: 0.3495, kappa: 0.1108, kb_relative_information_score: 400.6451, mean_absolute_error: 0.3596, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.7707, predictive_accuracy: 0.4607, prior_entropy: 1.5674, recall: 0.4607, relative_absolute_error: 0.8191, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.5996, root_relative_squared_error: 1.28, scimark_benchmark: 1317.5857, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9797, kappa: 0.9693, kb_relative_information_score: 1720.7316, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.9798, predictive_accuracy: 0.9798, prior_entropy: 1.5674, recall: 0.9798, relative_absolute_error: 0.0397, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.2174, scimark_benchmark: 1354.3488, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9724, kappa: 0.9583, kb_relative_information_score: 1684.3359, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.973, predictive_accuracy: 0.9725, prior_entropy: 1.5674, recall: 0.9725, relative_absolute_error: 0.0674, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1255, root_relative_squared_error: 0.2679, scimark_benchmark: 1322.7257, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9876, kappa: 0.9813, kb_relative_information_score: 1740.0256, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.9878, predictive_accuracy: 0.9876, prior_entropy: 1.5674, recall: 0.9876, relative_absolute_error: 0.0271, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.0881, root_relative_squared_error: 0.188, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9797, kappa: 0.9693, kb_relative_information_score: 1720.7316, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.9798, predictive_accuracy: 0.9798, prior_entropy: 1.5674, recall: 0.9798, relative_absolute_error: 0.0397, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.2174, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9792, kappa: 0.9685, kb_relative_information_score: 1584.039, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.9796, predictive_accuracy: 0.9792, prior_entropy: 1.5674, recall: 0.9792, relative_absolute_error: 0.1512, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1318, root_relative_squared_error: 0.2813, scimark_benchmark: 942.9708, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.9279, kappa: 0.8907, kb_relative_information_score: 1584.9529, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.9281, predictive_accuracy: 0.9281, prior_entropy: 1.5674, recall: 0.9281, relative_absolute_error: 0.1244, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.4634, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9876, kappa: 0.9813, kb_relative_information_score: 1740.0256, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.439, number_of_instances: 1780, precision: 0.9878, predictive_accuracy: 0.9876, prior_entropy: 1.5674, recall: 0.9876, relative_absolute_error: 0.0271, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.0881, root_relative_squared_error: 0.188, scimark_benchmark: 935.5075,

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