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Supervised Classification on heart-statlog

Supervised Classification on heart-statlog

Task 1816 Supervised Classification heart-statlog 351 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.791, f_measure: 0.78, kappa: 0.5536, kb_relative_information_score: 634.6241, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7802, predictive_accuracy: 0.7807, prior_entropy: 0.9912, recall: 0.7807, relative_absolute_error: 0.5516, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.8658, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7706, kappa: 0.5347, kb_relative_information_score: 577.4697, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7705, predictive_accuracy: 0.7711, prior_entropy: 0.9912, recall: 0.7711, relative_absolute_error: 0.5938, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8083, scimark_benchmark: 972.587, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.7575, kappa: 0.5086, kb_relative_information_score: 620.025, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7574, predictive_accuracy: 0.7578, prior_entropy: 0.9912, recall: 0.7578, relative_absolute_error: 0.5509, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.858, scimark_benchmark: 851.2074, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.8251, kappa: 0.645, kb_relative_information_score: 793.2835, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.826, predictive_accuracy: 0.8259, prior_entropy: 0.9912, recall: 0.8259, relative_absolute_error: 0.4226, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.371, root_relative_squared_error: 0.7467, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.8275, kappa: 0.6498, kb_relative_information_score: 780.0212, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8281, predictive_accuracy: 0.8281, prior_entropy: 0.9912, recall: 0.8281, relative_absolute_error: 0.4362, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7359, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.7971, kappa: 0.5879, kb_relative_information_score: 560.7917, mean_absolute_error: 0.3049, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7989, predictive_accuracy: 0.7985, prior_entropy: 0.9912, recall: 0.7985, relative_absolute_error: 0.6173, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7707, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.8275, kappa: 0.6498, kb_relative_information_score: 780.0212, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8281, predictive_accuracy: 0.8281, prior_entropy: 0.9912, recall: 0.8281, relative_absolute_error: 0.4362, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7359, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.8016, kappa: 0.5976, kb_relative_information_score: 605.0755, mean_absolute_error: 0.2873, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8018, predictive_accuracy: 0.8022, prior_entropy: 0.9912, recall: 0.8022, relative_absolute_error: 0.5816, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.7452, scimark_benchmark: 931.771, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, f_measure: 0.4018, kappa: 0.0056, kb_relative_information_score: 134.5952, mean_absolute_error: 0.4422, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7538, predictive_accuracy: 0.5578, prior_entropy: 0.9912, recall: 0.5578, relative_absolute_error: 0.8954, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.665, root_relative_squared_error: 1.3383, scimark_benchmark: 941.3847, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.8251, kappa: 0.645, kb_relative_information_score: 793.2835, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.826, predictive_accuracy: 0.8259, prior_entropy: 0.9912, recall: 0.8259, relative_absolute_error: 0.4226, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.371, root_relative_squared_error: 0.7467, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.7471, kappa: 0.4866, kb_relative_information_score: 566.2187, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7473, predictive_accuracy: 0.7481, prior_entropy: 0.9912, recall: 0.7481, relative_absolute_error: 0.5963, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.8791, scimark_benchmark: 943.1009, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.8016, kappa: 0.5976, kb_relative_information_score: 605.0755, mean_absolute_error: 0.2873, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8018, predictive_accuracy: 0.8022, prior_entropy: 0.9912, recall: 0.8022, relative_absolute_error: 0.5816, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.7452, scimark_benchmark: 943.1009, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.791, f_measure: 0.78, kappa: 0.5536, kb_relative_information_score: 634.6241, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7802, predictive_accuracy: 0.7807, prior_entropy: 0.9912, recall: 0.7807, relative_absolute_error: 0.5516, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.8658, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.7706, kappa: 0.5347, kb_relative_information_score: 577.4697, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7705, predictive_accuracy: 0.7711, prior_entropy: 0.9912, recall: 0.7711, relative_absolute_error: 0.5938, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8083, scimark_benchmark: 935.2002, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.7575, kappa: 0.5086, kb_relative_information_score: 620.025, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7574, predictive_accuracy: 0.7578, prior_entropy: 0.9912, recall: 0.7578, relative_absolute_error: 0.5509, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.858, scimark_benchmark: 608.4057, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, f_measure: 0.4018, kappa: 0.0056, kb_relative_information_score: 134.5952, mean_absolute_error: 0.4422, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7538, predictive_accuracy: 0.5578, prior_entropy: 0.9912, recall: 0.5578, relative_absolute_error: 0.8954, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.665, root_relative_squared_error: 1.3383, scimark_benchmark: 930.404, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.8275, kappa: 0.6498, kb_relative_information_score: 780.0212, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8281, predictive_accuracy: 0.8281, prior_entropy: 0.9912, recall: 0.8281, relative_absolute_error: 0.4362, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7359, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.8275, kappa: 0.6498, kb_relative_information_score: 780.0212, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8281, predictive_accuracy: 0.8281, prior_entropy: 0.9912, recall: 0.8281, relative_absolute_error: 0.4362, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7359, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.8275, kappa: 0.6498, kb_relative_information_score: 780.0212, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8281, predictive_accuracy: 0.8281, prior_entropy: 0.9912, recall: 0.8281, relative_absolute_error: 0.4362, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7359, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.8275, kappa: 0.6498, kb_relative_information_score: 780.0212, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8281, predictive_accuracy: 0.8281, prior_entropy: 0.9912, recall: 0.8281, relative_absolute_error: 0.4362, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7359, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.7971, kappa: 0.5879, kb_relative_information_score: 560.7917, mean_absolute_error: 0.3049, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7989, predictive_accuracy: 0.7985, prior_entropy: 0.9912, recall: 0.7985, relative_absolute_error: 0.6173, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7707, scimark_benchmark: 933.3455, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.8275, kappa: 0.6498, kb_relative_information_score: 780.0212, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8281, predictive_accuracy: 0.8281, prior_entropy: 0.9912, recall: 0.8281, relative_absolute_error: 0.4362, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7359, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.7471, kappa: 0.4866, kb_relative_information_score: 566.2187, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7473, predictive_accuracy: 0.7481, prior_entropy: 0.9912, recall: 0.7481, relative_absolute_error: 0.5963, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.8791, scimark_benchmark: 917.5013, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.8016, kappa: 0.5976, kb_relative_information_score: 605.0755, mean_absolute_error: 0.2873, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8018, predictive_accuracy: 0.8022, prior_entropy: 0.9912, recall: 0.8022, relative_absolute_error: 0.5816, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.7452, scimark_benchmark: 936.9595, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.8303, kappa: 0.6555, kb_relative_information_score: 669.0052, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8313, predictive_accuracy: 0.8311, prior_entropy: 0.9912, recall: 0.8311, relative_absolute_error: 0.5365, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.7186, scimark_benchmark: 938.4601, usercpu_time_millis: 2100, usercpu_time_millis_testing: 940, usercpu_time_millis_training: 1160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.8297, kappa: 0.6544, kb_relative_information_score: 663.5868, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8303, predictive_accuracy: 0.8304, prior_entropy: 0.9912, recall: 0.8304, relative_absolute_error: 0.5398, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3586, root_relative_squared_error: 0.7217, scimark_benchmark: 901.6243, usercpu_time_millis: 760, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.8216, kappa: 0.6378, kb_relative_information_score: 661.3703, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8221, predictive_accuracy: 0.8222, prior_entropy: 0.9912, recall: 0.8222, relative_absolute_error: 0.5409, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.7238, scimark_benchmark: 917.2109, usercpu_time_millis: 400, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8857, f_measure: 0.8237, kappa: 0.6422, kb_relative_information_score: 655.2358, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8244, predictive_accuracy: 0.8244, prior_entropy: 0.9912, recall: 0.8244, relative_absolute_error: 0.5443, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.7332, scimark_benchmark: 899.0468, usercpu_time_millis: 180, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.8064, kappa: 0.6074, kb_relative_information_score: 649.0137, mean_absolute_error: 0.269, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8063, predictive_accuracy: 0.8067, prior_entropy: 0.9912, recall: 0.8067, relative_absolute_error: 0.5446, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.748, scimark_benchmark: 926.5859, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.7801, kappa: 0.5549, kb_relative_information_score: 694.4571, mean_absolute_error: 0.2436, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7802, predictive_accuracy: 0.78, prior_entropy: 0.9912, recall: 0.78, relative_absolute_error: 0.4932, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8262, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.7801, kappa: 0.5549, kb_relative_information_score: 694.4571, mean_absolute_error: 0.2436, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7802, predictive_accuracy: 0.78, prior_entropy: 0.9912, recall: 0.78, relative_absolute_error: 0.4932, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8262, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.7801, kappa: 0.5549, kb_relative_information_score: 694.4571, mean_absolute_error: 0.2436, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7802, predictive_accuracy: 0.78, prior_entropy: 0.9912, recall: 0.78, relative_absolute_error: 0.4932, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8262, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.7802, kappa: 0.5552, kb_relative_information_score: 690.5606, mean_absolute_error: 0.245, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7804, predictive_accuracy: 0.78, prior_entropy: 0.9912, recall: 0.78, relative_absolute_error: 0.4961, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8261, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8594, f_measure: 0.7897, kappa: 0.5743, kb_relative_information_score: 698.2265, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7898, predictive_accuracy: 0.7896, prior_entropy: 0.9912, recall: 0.7896, relative_absolute_error: 0.4926, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8082, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3968, kb_relative_information_score: -0.1972, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.3086, predictive_accuracy: 0.5556, prior_entropy: 0.9912, recall: 0.5556, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.796, kappa: 0.5865, kb_relative_information_score: 783.428, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7959, predictive_accuracy: 0.7963, prior_entropy: 0.9912, recall: 0.7963, relative_absolute_error: 0.418, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.8658, scimark_benchmark: 938.3115, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.8039, kappa: 0.6021, kb_relative_information_score: 800.8531, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8041, predictive_accuracy: 0.8044, prior_entropy: 0.9912, recall: 0.8044, relative_absolute_error: 0.4066, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.8457, scimark_benchmark: 936.1714, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.8018, kappa: 0.5981, kb_relative_information_score: 788.8479, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8018, predictive_accuracy: 0.8022, prior_entropy: 0.9912, recall: 0.8022, relative_absolute_error: 0.4155, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4217, root_relative_squared_error: 0.8487, scimark_benchmark: 938.3115, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.8275, kappa: 0.6498, kb_relative_information_score: 780.0212, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8281, predictive_accuracy: 0.8281, prior_entropy: 0.9912, recall: 0.8281, relative_absolute_error: 0.4362, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7359, scimark_benchmark: 1350.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.7471, kappa: 0.4866, kb_relative_information_score: 566.2187, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7473, predictive_accuracy: 0.7481, prior_entropy: 0.9912, recall: 0.7481, relative_absolute_error: 0.5963, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.8791, scimark_benchmark: 1347.6543, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.791, f_measure: 0.78, kappa: 0.5536, kb_relative_information_score: 634.6241, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7802, predictive_accuracy: 0.7807, prior_entropy: 0.9912, recall: 0.7807, relative_absolute_error: 0.5516, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.8658, scimark_benchmark: 1333.6736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, f_measure: 0.4018, kappa: 0.0056, kb_relative_information_score: 134.5952, mean_absolute_error: 0.4422, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7538, predictive_accuracy: 0.5578, prior_entropy: 0.9912, recall: 0.5578, relative_absolute_error: 0.8954, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.665, root_relative_squared_error: 1.3383, scimark_benchmark: 1347.1763, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, f_measure: 0.4018, kappa: 0.0056, kb_relative_information_score: 134.5952, mean_absolute_error: 0.4422, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7538, predictive_accuracy: 0.5578, prior_entropy: 0.9912, recall: 0.5578, relative_absolute_error: 0.8954, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.665, root_relative_squared_error: 1.3383, scimark_benchmark: 1318.4315, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.8251, kappa: 0.645, kb_relative_information_score: 793.2835, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.826, predictive_accuracy: 0.8259, prior_entropy: 0.9912, recall: 0.8259, relative_absolute_error: 0.4226, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.371, root_relative_squared_error: 0.7467, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.8275, kappa: 0.6498, kb_relative_information_score: 780.0212, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8281, predictive_accuracy: 0.8281, prior_entropy: 0.9912, recall: 0.8281, relative_absolute_error: 0.4362, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7359, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.8232, kappa: 0.6413, kb_relative_information_score: 728.6672, mean_absolute_error: 0.2378, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8234, predictive_accuracy: 0.8237, prior_entropy: 0.9912, recall: 0.8237, relative_absolute_error: 0.4816, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7359, scimark_benchmark: 1306.8702, usercpu_time_millis: 490, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.8251, kappa: 0.645, kb_relative_information_score: 793.2835, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.826, predictive_accuracy: 0.8259, prior_entropy: 0.9912, recall: 0.8259, relative_absolute_error: 0.4226, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.371, root_relative_squared_error: 0.7467, scimark_benchmark: 1374.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.8275, kappa: 0.6498, kb_relative_information_score: 780.0212, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8281, predictive_accuracy: 0.8281, prior_entropy: 0.9912, recall: 0.8281, relative_absolute_error: 0.4362, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7359, scimark_benchmark: 1342.2845, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.8275, kappa: 0.6498, kb_relative_information_score: 780.0212, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8281, predictive_accuracy: 0.8281, prior_entropy: 0.9912, recall: 0.8281, relative_absolute_error: 0.4362, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7359, scimark_benchmark: 1346.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.8275, kappa: 0.6498, kb_relative_information_score: 780.0212, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8281, predictive_accuracy: 0.8281, prior_entropy: 0.9912, recall: 0.8281, relative_absolute_error: 0.4362, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7359, scimark_benchmark: 1309.2287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.8232, kappa: 0.6413, kb_relative_information_score: 728.6672, mean_absolute_error: 0.2378, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8234, predictive_accuracy: 0.8237, prior_entropy: 0.9912, recall: 0.8237, relative_absolute_error: 0.4816, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7359, scimark_benchmark: 1336.5541, usercpu_time_millis: 490, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.8275, kappa: 0.6498, kb_relative_information_score: 780.0212, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8281, predictive_accuracy: 0.8281, prior_entropy: 0.9912, recall: 0.8281, relative_absolute_error: 0.4362, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7359, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.7471, kappa: 0.4866, kb_relative_information_score: 566.2187, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7473, predictive_accuracy: 0.7481, prior_entropy: 0.9912, recall: 0.7481, relative_absolute_error: 0.5963, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.8791, scimark_benchmark: 1306.8702, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.8016, kappa: 0.5976, kb_relative_information_score: 605.0755, mean_absolute_error: 0.2873, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8018, predictive_accuracy: 0.8022, prior_entropy: 0.9912, recall: 0.8022, relative_absolute_error: 0.5816, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.7452, scimark_benchmark: 1320.8283, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.7575, kappa: 0.5086, kb_relative_information_score: 620.025, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7574, predictive_accuracy: 0.7578, prior_entropy: 0.9912, recall: 0.7578, relative_absolute_error: 0.5509, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.858, scimark_benchmark: 1338.6772, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, f_measure: 0.4018, kappa: 0.0056, kb_relative_information_score: 134.5952, mean_absolute_error: 0.4422, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7538, predictive_accuracy: 0.5578, prior_entropy: 0.9912, recall: 0.5578, relative_absolute_error: 0.8954, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.665, root_relative_squared_error: 1.3383, scimark_benchmark: 1308.891, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, f_measure: 0.4018, kappa: 0.0056, kb_relative_information_score: 134.5952, mean_absolute_error: 0.4422, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7538, predictive_accuracy: 0.5578, prior_entropy: 0.9912, recall: 0.5578, relative_absolute_error: 0.8954, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.665, root_relative_squared_error: 1.3383, scimark_benchmark: 1352.9931, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.8275, kappa: 0.6498, kb_relative_information_score: 780.0212, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8281, predictive_accuracy: 0.8281, prior_entropy: 0.9912, recall: 0.8281, relative_absolute_error: 0.4362, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7359, scimark_benchmark: 1349.8336, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.8275, kappa: 0.6498, kb_relative_information_score: 780.0212, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8281, predictive_accuracy: 0.8281, prior_entropy: 0.9912, recall: 0.8281, relative_absolute_error: 0.4362, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7359, scimark_benchmark: 1354.7111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.8275, kappa: 0.6498, kb_relative_information_score: 780.0212, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8281, predictive_accuracy: 0.8281, prior_entropy: 0.9912, recall: 0.8281, relative_absolute_error: 0.4362, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7359, scimark_benchmark: 1354.7111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.7971, kappa: 0.5879, kb_relative_information_score: 560.7917, mean_absolute_error: 0.3049, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.7989, predictive_accuracy: 0.7985, prior_entropy: 0.9912, recall: 0.7985, relative_absolute_error: 0.6173, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7707, scimark_benchmark: 1331.0047, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.8232, kappa: 0.6413, kb_relative_information_score: 728.6672, mean_absolute_error: 0.2378, mean_prior_absolute_error: 0.4939, number_of_instances: 1350, precision: 0.8234, predictive_accuracy: 0.8237, prior_entropy: 0.9912, recall: 0.8237, relative_absolute_error: 0.4816, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7359, scimark_benchmark: 1333.9878, usercpu_time_millis: 520, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 510,

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