Task
Supervised Classification on newton_hema

Supervised Classification on newton_hema

Task 4354 Supervised Classification newton_hema 217 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.7764, kappa: 0.5529, kb_relative_information_score: 0.48, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.5, weighted_recall: 0.7764, number_of_instances: 1400, precision: 0.7765, predictive_accuracy: 0.7764, prior_entropy: 1, relative_absolute_error: 0.5336, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.809, scimark_benchmark: 931.1106, unweighted_recall: 0.7764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.7739, kappa: 0.5486, kb_relative_information_score: 0.4481, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.5, weighted_recall: 0.7743, number_of_instances: 1400, precision: 0.7763, predictive_accuracy: 0.7743, prior_entropy: 1, relative_absolute_error: 0.5664, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.397, root_relative_squared_error: 0.7939, scimark_benchmark: 979.7764, unweighted_recall: 0.7743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.716, kappa: 0.4357, kb_relative_information_score: 554.3967, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7237, predictive_accuracy: 0.7179, prior_entropy: 1, recall: 0.7179, relative_absolute_error: 0.6136, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.405, root_relative_squared_error: 0.81, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.766, kappa: 0.5329, kb_relative_information_score: 478.5515, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7682, predictive_accuracy: 0.7664, prior_entropy: 1, recall: 0.7664, relative_absolute_error: 0.6935, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8076, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.7369, kappa: 0.4743, kb_relative_information_score: 556.1397, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7379, predictive_accuracy: 0.7371, prior_entropy: 1, recall: 0.7371, relative_absolute_error: 0.6252, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8356, scimark_benchmark: 934.3687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6064, f_measure: 0.605, kappa: 0.2129, kb_relative_information_score: 298, mean_absolute_error: 0.3936, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.6079, predictive_accuracy: 0.6064, prior_entropy: 1, recall: 0.6064, relative_absolute_error: 0.7871, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6274, root_relative_squared_error: 1.2547, scimark_benchmark: 944.1067, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6064, f_measure: 0.605, kappa: 0.2129, kb_relative_information_score: 298, mean_absolute_error: 0.3936, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.6079, predictive_accuracy: 0.6064, prior_entropy: 1, recall: 0.6064, relative_absolute_error: 0.7871, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6274, root_relative_squared_error: 1.2547, scimark_benchmark: 916.0735, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7224, kappa: 0.4457, kb_relative_information_score: 546.2865, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7243, predictive_accuracy: 0.7229, prior_entropy: 1, recall: 0.7229, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8111, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.7917, kappa: 0.5843, kb_relative_information_score: 642.0311, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7947, predictive_accuracy: 0.7921, prior_entropy: 1, recall: 0.7921, relative_absolute_error: 0.5599, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.7796, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.8225, kappa: 0.6457, kb_relative_information_score: 618.7425, mean_absolute_error: 0.2919, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.8252, predictive_accuracy: 0.8229, prior_entropy: 1, recall: 0.8229, relative_absolute_error: 0.5838, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.387, root_relative_squared_error: 0.7739, scimark_benchmark: 932.2692, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7506, kappa: 0.5014, kb_relative_information_score: 580.3335, mean_absolute_error: 0.3016, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7511, predictive_accuracy: 0.7507, prior_entropy: 1, recall: 0.7507, relative_absolute_error: 0.6032, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4122, root_relative_squared_error: 0.8243, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6064, f_measure: 0.605, kappa: 0.2129, kb_relative_information_score: 298, mean_absolute_error: 0.3936, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.6079, predictive_accuracy: 0.6064, prior_entropy: 1, recall: 0.6064, relative_absolute_error: 0.7871, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6274, root_relative_squared_error: 1.2547, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6064, f_measure: 0.605, kappa: 0.2129, kb_relative_information_score: 298, mean_absolute_error: 0.3936, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.6079, predictive_accuracy: 0.6064, prior_entropy: 1, recall: 0.6064, relative_absolute_error: 0.7871, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6274, root_relative_squared_error: 1.2547, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7224, kappa: 0.4457, kb_relative_information_score: 546.2865, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7243, predictive_accuracy: 0.7229, prior_entropy: 1, recall: 0.7229, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8111, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7224, kappa: 0.4457, kb_relative_information_score: 546.2865, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7243, predictive_accuracy: 0.7229, prior_entropy: 1, recall: 0.7229, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8111, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.7764, kappa: 0.5529, kb_relative_information_score: 671.9811, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7765, predictive_accuracy: 0.7764, prior_entropy: 1, recall: 0.7764, relative_absolute_error: 0.5336, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.809, scimark_benchmark: 947.1781, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.716, kappa: 0.4357, kb_relative_information_score: 554.3967, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7237, predictive_accuracy: 0.7179, prior_entropy: 1, recall: 0.7179, relative_absolute_error: 0.6136, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.405, root_relative_squared_error: 0.81, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.766, kappa: 0.5329, kb_relative_information_score: 478.5515, mean_absolute_error: 0.3468, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7682, predictive_accuracy: 0.7664, prior_entropy: 1, recall: 0.7664, relative_absolute_error: 0.6935, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8076, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.7369, kappa: 0.4743, kb_relative_information_score: 556.1397, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7379, predictive_accuracy: 0.7371, prior_entropy: 1, recall: 0.7371, relative_absolute_error: 0.6252, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8356, scimark_benchmark: 936.2574, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6064, f_measure: 0.605, kappa: 0.2129, kb_relative_information_score: 298, mean_absolute_error: 0.3936, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.6079, predictive_accuracy: 0.6064, prior_entropy: 1, recall: 0.6064, relative_absolute_error: 0.7871, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6274, root_relative_squared_error: 1.2547, scimark_benchmark: 927.2882, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6064, f_measure: 0.605, kappa: 0.2129, kb_relative_information_score: 298, mean_absolute_error: 0.3936, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.6079, predictive_accuracy: 0.6064, prior_entropy: 1, recall: 0.6064, relative_absolute_error: 0.7871, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6274, root_relative_squared_error: 1.2547, scimark_benchmark: 934.5964, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8238, f_measure: 0.7242, kappa: 0.4486, kb_relative_information_score: 509.4479, mean_absolute_error: 0.3265, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7245, predictive_accuracy: 0.7243, prior_entropy: 1, recall: 0.7243, relative_absolute_error: 0.6531, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8129, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7224, kappa: 0.4457, kb_relative_information_score: 546.2865, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7243, predictive_accuracy: 0.7229, prior_entropy: 1, recall: 0.7229, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8111, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7224, kappa: 0.4457, kb_relative_information_score: 546.2865, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7243, predictive_accuracy: 0.7229, prior_entropy: 1, recall: 0.7229, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8111, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.7917, kappa: 0.5843, kb_relative_information_score: 642.0311, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7947, predictive_accuracy: 0.7921, prior_entropy: 1, recall: 0.7921, relative_absolute_error: 0.5599, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.7796, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.8225, kappa: 0.6457, kb_relative_information_score: 618.7425, mean_absolute_error: 0.2919, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.8252, predictive_accuracy: 0.8229, prior_entropy: 1, recall: 0.8229, relative_absolute_error: 0.5838, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.387, root_relative_squared_error: 0.7739, scimark_benchmark: 905.2959, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7224, kappa: 0.4457, kb_relative_information_score: 546.2865, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7243, predictive_accuracy: 0.7229, prior_entropy: 1, recall: 0.7229, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8111, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7506, kappa: 0.5014, kb_relative_information_score: 580.3335, mean_absolute_error: 0.3016, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7511, predictive_accuracy: 0.7507, prior_entropy: 1, recall: 0.7507, relative_absolute_error: 0.6032, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4122, root_relative_squared_error: 0.8243, scimark_benchmark: 932.438, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.7764, kappa: 0.5529, kb_relative_information_score: 671.9811, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7765, predictive_accuracy: 0.7764, prior_entropy: 1, recall: 0.7764, relative_absolute_error: 0.5336, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.809, scimark_benchmark: 901.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.7933, kappa: 0.5871, kb_relative_information_score: 595.0826, mean_absolute_error: 0.3035, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.795, predictive_accuracy: 0.7936, prior_entropy: 1, recall: 0.7936, relative_absolute_error: 0.607, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7899, scimark_benchmark: 936.2574, usercpu_time_millis: 380, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8484, f_measure: 0.7905, kappa: 0.5814, kb_relative_information_score: 591.9969, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.792, predictive_accuracy: 0.7907, prior_entropy: 1, recall: 0.7907, relative_absolute_error: 0.6089, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.793, scimark_benchmark: 937.5683, usercpu_time_millis: 180, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, f_measure: 0.7925, kappa: 0.5857, kb_relative_information_score: 587.06, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7946, predictive_accuracy: 0.7929, prior_entropy: 1, recall: 0.7929, relative_absolute_error: 0.6125, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.7985, scimark_benchmark: 862.7006, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8459, f_measure: 0.7847, kappa: 0.57, kb_relative_information_score: 589.3401, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7868, predictive_accuracy: 0.785, prior_entropy: 1, recall: 0.785, relative_absolute_error: 0.6096, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.7976, scimark_benchmark: 901.5805, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.7768, kappa: 0.5543, kb_relative_information_score: 597.9627, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7787, predictive_accuracy: 0.7771, prior_entropy: 1, recall: 0.7771, relative_absolute_error: 0.602, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.399, root_relative_squared_error: 0.798, scimark_benchmark: 919.7824, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7304, kappa: 0.4614, kb_relative_information_score: 553.4961, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7318, predictive_accuracy: 0.7307, prior_entropy: 1, recall: 0.7307, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.8262, scimark_benchmark: 889.4922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7304, kappa: 0.4614, kb_relative_information_score: 553.4961, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7318, predictive_accuracy: 0.7307, prior_entropy: 1, recall: 0.7307, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.8262, scimark_benchmark: 930.0565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7304, kappa: 0.4614, kb_relative_information_score: 553.4961, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7318, predictive_accuracy: 0.7307, prior_entropy: 1, recall: 0.7307, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.8262, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.7311, kappa: 0.4629, kb_relative_information_score: 554.7316, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7324, predictive_accuracy: 0.7314, prior_entropy: 1, recall: 0.7314, relative_absolute_error: 0.6192, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8243, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.7311, kappa: 0.4629, kb_relative_information_score: 553.2985, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7326, predictive_accuracy: 0.7314, prior_entropy: 1, recall: 0.7314, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8198, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 941.9549,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.7375, kappa: 0.4786, kb_relative_information_score: 652.9337, mean_absolute_error: 0.2683, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7462, predictive_accuracy: 0.7393, prior_entropy: 1, recall: 0.7393, relative_absolute_error: 0.5366, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.8692, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7224, kappa: 0.4457, kb_relative_information_score: 546.2865, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7243, predictive_accuracy: 0.7229, prior_entropy: 1, recall: 0.7229, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8111, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.716, kappa: 0.4357, kb_relative_information_score: 554.3967, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7237, predictive_accuracy: 0.7179, prior_entropy: 1, recall: 0.7179, relative_absolute_error: 0.6136, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.405, root_relative_squared_error: 0.81, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6064, f_measure: 0.605, kappa: 0.2129, kb_relative_information_score: 298, mean_absolute_error: 0.3936, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.6079, predictive_accuracy: 0.6064, prior_entropy: 1, recall: 0.6064, relative_absolute_error: 0.7871, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6274, root_relative_squared_error: 1.2547, scimark_benchmark: 1351.1238, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7224, kappa: 0.4457, kb_relative_information_score: 546.2865, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7243, predictive_accuracy: 0.7229, prior_entropy: 1, recall: 0.7229, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8111, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7224, kappa: 0.4457, kb_relative_information_score: 546.2865, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7243, predictive_accuracy: 0.7229, prior_entropy: 1, recall: 0.7229, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8111, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7224, kappa: 0.4457, kb_relative_information_score: 546.2865, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7243, predictive_accuracy: 0.7229, prior_entropy: 1, recall: 0.7229, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8111, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.8225, kappa: 0.6457, kb_relative_information_score: 618.7425, mean_absolute_error: 0.2919, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.8252, predictive_accuracy: 0.8229, prior_entropy: 1, recall: 0.8229, relative_absolute_error: 0.5838, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.387, root_relative_squared_error: 0.7739, scimark_benchmark: 1309.2287, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7224, kappa: 0.4457, kb_relative_information_score: 546.2865, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7243, predictive_accuracy: 0.7229, prior_entropy: 1, recall: 0.7229, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8111, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8238, f_measure: 0.7242, kappa: 0.4486, kb_relative_information_score: 509.4479, mean_absolute_error: 0.3265, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7245, predictive_accuracy: 0.7243, prior_entropy: 1, recall: 0.7243, relative_absolute_error: 0.6531, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.8129, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7224, kappa: 0.4457, kb_relative_information_score: 546.2865, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7243, predictive_accuracy: 0.7229, prior_entropy: 1, recall: 0.7229, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8111, scimark_benchmark: 1325.4787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7224, kappa: 0.4457, kb_relative_information_score: 546.2865, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7243, predictive_accuracy: 0.7229, prior_entropy: 1, recall: 0.7229, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8111, scimark_benchmark: 1331.1314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.7917, kappa: 0.5843, kb_relative_information_score: 642.0311, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7947, predictive_accuracy: 0.7921, prior_entropy: 1, recall: 0.7921, relative_absolute_error: 0.5599, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.7796, scimark_benchmark: 1342.2845, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.7224, kappa: 0.4457, kb_relative_information_score: 546.2865, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7243, predictive_accuracy: 0.7229, prior_entropy: 1, recall: 0.7229, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8111, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7506, kappa: 0.5014, kb_relative_information_score: 580.3335, mean_absolute_error: 0.3016, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7511, predictive_accuracy: 0.7507, prior_entropy: 1, recall: 0.7507, relative_absolute_error: 0.6032, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4122, root_relative_squared_error: 0.8243, scimark_benchmark: 1335.5309, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.7764, kappa: 0.5529, kb_relative_information_score: 671.9811, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7765, predictive_accuracy: 0.7764, prior_entropy: 1, recall: 0.7764, relative_absolute_error: 0.5336, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.809, scimark_benchmark: 1320.8283, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.716, kappa: 0.4357, kb_relative_information_score: 554.3967, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7237, predictive_accuracy: 0.7179, prior_entropy: 1, recall: 0.7179, relative_absolute_error: 0.6136, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.405, root_relative_squared_error: 0.81, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.7756, kappa: 0.5529, kb_relative_information_score: 644.6765, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.5, number_of_instances: 1400, precision: 0.7806, predictive_accuracy: 0.7764, prior_entropy: 1, recall: 0.7764, relative_absolute_error: 0.5548, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8227, scimark_benchmark: 1319.5773,

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