Task
Supervised Classification on cpu_small

Supervised Classification on cpu_small

Task 3601 Supervised Classification cpu_small 541 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.8867, kappa: 0.728, kb_relative_information_score: 4947.1288, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8867, predictive_accuracy: 0.8883, prior_entropy: 0.8842, recall: 0.8883, relative_absolute_error: 0.4187, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.6276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.8776, kappa: 0.7091, kb_relative_information_score: 5153.7208, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8773, predictive_accuracy: 0.8779, prior_entropy: 0.8842, recall: 0.8779, relative_absolute_error: 0.3668, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.9217, kappa: 0.8119, kb_relative_information_score: 5982.5539, mean_absolute_error: 0.1189, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9225, predictive_accuracy: 0.9229, prior_entropy: 0.8842, recall: 0.9229, relative_absolute_error: 0.2818, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2377, root_relative_squared_error: 0.5176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.9086, kappa: 0.7813, kb_relative_information_score: 5658.345, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9086, predictive_accuracy: 0.9095, prior_entropy: 0.8842, recall: 0.9095, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2784, root_relative_squared_error: 0.6063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.8692, kappa: 0.6862, kb_relative_information_score: 4853.0642, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8689, predictive_accuracy: 0.871, prior_entropy: 0.8842, recall: 0.871, relative_absolute_error: 0.413, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.7322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.9127, kappa: 0.7904, kb_relative_information_score: 6022.2179, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9132, predictive_accuracy: 0.9139, prior_entropy: 0.8842, recall: 0.9139, relative_absolute_error: 0.2637, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2801, root_relative_squared_error: 0.6099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.9135, kappa: 0.7937, kb_relative_information_score: 6423.8462, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9133, predictive_accuracy: 0.9141, prior_entropy: 0.8842, recall: 0.9141, relative_absolute_error: 0.2009, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2802, root_relative_squared_error: 0.6102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.8848, kappa: 0.7217, kb_relative_information_score: 5056.9238, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8867, predictive_accuracy: 0.8877, prior_entropy: 0.8842, recall: 0.8877, relative_absolute_error: 0.4024, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.7931, kappa: 0.4952, kb_relative_information_score: 4045.2068, mean_absolute_error: 0.1999, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.7953, predictive_accuracy: 0.8022, prior_entropy: 0.8842, recall: 0.8022, relative_absolute_error: 0.4738, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.4287, root_relative_squared_error: 0.9333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.7951, kappa: 0.5074, kb_relative_information_score: 3882.0674, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.7936, predictive_accuracy: 0.7986, prior_entropy: 0.8842, recall: 0.7986, relative_absolute_error: 0.4929, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.4451, root_relative_squared_error: 0.9691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8648, kappa: 0.6747, kb_relative_information_score: 5402.3192, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8649, predictive_accuracy: 0.8673, prior_entropy: 0.8842, recall: 0.8673, relative_absolute_error: 0.3198, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.7434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.8885, kappa: 0.7301, kb_relative_information_score: 5913.3657, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8915, predictive_accuracy: 0.8917, prior_entropy: 0.8842, recall: 0.8917, relative_absolute_error: 0.261, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3149, root_relative_squared_error: 0.6857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.9134, kappa: 0.7921, kb_relative_information_score: 6016.6628, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.914, predictive_accuracy: 0.9147, prior_entropy: 0.8842, recall: 0.9147, relative_absolute_error: 0.263, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2486, root_relative_squared_error: 0.5414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.907, kappa: 0.7766, kb_relative_information_score: 6275.3676, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9076, predictive_accuracy: 0.9084, prior_entropy: 0.8842, recall: 0.9084, relative_absolute_error: 0.2187, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.6408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9144, kappa: 0.7957, kb_relative_information_score: 5997.4301, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9144, predictive_accuracy: 0.9152, prior_entropy: 0.8842, recall: 0.9152, relative_absolute_error: 0.2679, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.244, root_relative_squared_error: 0.5312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.9126, kappa: 0.7899, kb_relative_information_score: 5211.7633, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9135, predictive_accuracy: 0.9141, prior_entropy: 0.8842, recall: 0.9141, relative_absolute_error: 0.3905, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.256, root_relative_squared_error: 0.5575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.5734, kb_relative_information_score: -0.3142, mean_absolute_error: 0.4219, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.4867, predictive_accuracy: 0.6976, prior_entropy: 0.8842, recall: 0.6976, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.4593, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9138, kappa: 0.7934, kb_relative_information_score: 6003.5477, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9141, predictive_accuracy: 0.9149, prior_entropy: 0.8842, recall: 0.9149, relative_absolute_error: 0.2618, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2528, root_relative_squared_error: 0.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.9087, kappa: 0.7812, kb_relative_information_score: 5911.6254, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.909, predictive_accuracy: 0.9099, prior_entropy: 0.8842, recall: 0.9099, relative_absolute_error: 0.2717, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2571, root_relative_squared_error: 0.5598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.8827, kappa: 0.718, kb_relative_information_score: 5328.4064, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8831, predictive_accuracy: 0.8848, prior_entropy: 0.8842, recall: 0.8848, relative_absolute_error: 0.3387, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.6321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.9051, kappa: 0.7736, kb_relative_information_score: 6000.8713, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9049, predictive_accuracy: 0.9058, prior_entropy: 0.8842, recall: 0.9058, relative_absolute_error: 0.2619, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.6213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.8851, kappa: 0.7222, kb_relative_information_score: 5856.1462, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8872, predictive_accuracy: 0.8881, prior_entropy: 0.8842, recall: 0.8881, relative_absolute_error: 0.2673, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.6977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.9072, kappa: 0.7771, kb_relative_information_score: 5945.8328, mean_absolute_error: 0.1165, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9078, predictive_accuracy: 0.9087, prior_entropy: 0.8842, recall: 0.9087, relative_absolute_error: 0.2762, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.6129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.891, kappa: 0.7365, kb_relative_information_score: 5970.9092, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.893, predictive_accuracy: 0.8937, prior_entropy: 0.8842, recall: 0.8937, relative_absolute_error: 0.2542, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3098, root_relative_squared_error: 0.6745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.905, kappa: 0.7716, kb_relative_information_score: 6251.7452, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.906, predictive_accuracy: 0.9067, prior_entropy: 0.8842, recall: 0.9067, relative_absolute_error: 0.2211, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3054, root_relative_squared_error: 0.6649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9225, kappa: 0.8144, kb_relative_information_score: 5970.1353, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9227, predictive_accuracy: 0.9233, prior_entropy: 0.8842, recall: 0.9233, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.5057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9573, f_measure: 0.8752, kappa: 0.7165, kb_relative_information_score: 5373.7175, mean_absolute_error: 0.1366, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8896, predictive_accuracy: 0.8717, prior_entropy: 0.8842, recall: 0.8717, relative_absolute_error: 0.3237, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.7019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.905, kappa: 0.7733, kb_relative_information_score: 5999.5525, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9047, predictive_accuracy: 0.9056, prior_entropy: 0.8842, recall: 0.9056, relative_absolute_error: 0.2621, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.6221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.8872, kappa: 0.7273, kb_relative_information_score: 5881.2587, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8892, predictive_accuracy: 0.89, prior_entropy: 0.8842, recall: 0.89, relative_absolute_error: 0.265, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.9064, kappa: 0.7749, kb_relative_information_score: 6279.6731, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9074, predictive_accuracy: 0.9081, prior_entropy: 0.8842, recall: 0.9081, relative_absolute_error: 0.2179, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3032, root_relative_squared_error: 0.6601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.8796, kappa: 0.7086, kb_relative_information_score: 5756.6607, mean_absolute_error: 0.1171, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.882, predictive_accuracy: 0.8829, prior_entropy: 0.8842, recall: 0.8829, relative_absolute_error: 0.2775, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.8848, kappa: 0.7217, kb_relative_information_score: 5861.0496, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8867, predictive_accuracy: 0.8877, prior_entropy: 0.8842, recall: 0.8877, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.6973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8987, kappa: 0.7583, kb_relative_information_score: 6099.4115, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8984, predictive_accuracy: 0.8994, prior_entropy: 0.8842, recall: 0.8994, relative_absolute_error: 0.2384, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.6905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8987, kappa: 0.7583, kb_relative_information_score: 6099.4115, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8984, predictive_accuracy: 0.8994, prior_entropy: 0.8842, recall: 0.8994, relative_absolute_error: 0.2384, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.6905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8987, kappa: 0.7583, kb_relative_information_score: 6099.4115, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8984, predictive_accuracy: 0.8994, prior_entropy: 0.8842, recall: 0.8994, relative_absolute_error: 0.2384, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.6905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.5734, kb_relative_information_score: 0.6931, mean_absolute_error: 0.4219, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.4867, predictive_accuracy: 0.6976, prior_entropy: 0.8842, recall: 0.6976, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.4593, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.916, kappa: 0.8007, kb_relative_information_score: 5847.7152, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9159, predictive_accuracy: 0.9161, prior_entropy: 0.8842, recall: 0.9161, relative_absolute_error: 0.2899, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2468, root_relative_squared_error: 0.5373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.8887, kappa: 0.7365, kb_relative_information_score: 5875.9888, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8888, predictive_accuracy: 0.8887, prior_entropy: 0.8842, recall: 0.8887, relative_absolute_error: 0.2639, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.7265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5734, kb_relative_information_score: 1902.6179, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.4867, predictive_accuracy: 0.6976, prior_entropy: 0.8842, recall: 0.6976, relative_absolute_error: 0.7167, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.5499, root_relative_squared_error: 1.1973, scimark_benchmark: 1697.6783, usercpu_time_millis: 5265.625, usercpu_time_millis_testing: 2156.25, usercpu_time_millis_training: 3109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5734, kb_relative_information_score: 1902.6179, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.4867, predictive_accuracy: 0.6976, prior_entropy: 0.8842, recall: 0.6976, relative_absolute_error: 0.7167, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.5499, root_relative_squared_error: 1.1973, scimark_benchmark: 1862.8608, usercpu_time_millis: 88125, usercpu_time_millis_testing: 20078.125, usercpu_time_millis_training: 68046.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5734, kb_relative_information_score: 1902.6179, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.4867, predictive_accuracy: 0.6976, prior_entropy: 0.8842, recall: 0.6976, relative_absolute_error: 0.7167, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.5499, root_relative_squared_error: 1.1973, scimark_benchmark: 1303.9213, usercpu_time_millis: 12680, usercpu_time_millis_testing: 3340, usercpu_time_millis_training: 9340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5734, kb_relative_information_score: 1902.6179, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.4867, predictive_accuracy: 0.6976, prior_entropy: 0.8842, recall: 0.6976, relative_absolute_error: 0.7167, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.5499, root_relative_squared_error: 1.1973, scimark_benchmark: 1391.1283, usercpu_time_millis: 162070, usercpu_time_millis_testing: 38930, usercpu_time_millis_training: 123140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.9055, kappa: 0.7769, kb_relative_information_score: 5386.9614, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.906, predictive_accuracy: 0.9052, prior_entropy: 0.8842, recall: 0.9052, relative_absolute_error: 0.3653, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.598, scimark_benchmark: 1918.4916, usercpu_time_millis: 25421.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 25406.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.914, kappa: 0.7945, kb_relative_information_score: 5994.2405, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9139, predictive_accuracy: 0.9147, prior_entropy: 0.8842, recall: 0.9147, relative_absolute_error: 0.268, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.5459, scimark_benchmark: 1918.4916, usercpu_time_millis: 28843.75, usercpu_time_millis_training: 28843.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5955, f_measure: 0.6383, kappa: 0.1781, kb_relative_information_score: 457.9866, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.6555, predictive_accuracy: 0.6282, prior_entropy: 0.8842, recall: 0.6282, relative_absolute_error: 0.8813, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.6098, root_relative_squared_error: 1.3277, scimark_benchmark: 1827.4462, usercpu_time_millis: 297390.625, usercpu_time_millis_testing: 718.75, usercpu_time_millis_training: 296671.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, f_measure: 0.7753, kappa: 0.4457, kb_relative_information_score: 3923.5784, mean_absolute_error: 0.2052, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.7929, predictive_accuracy: 0.7948, prior_entropy: 0.8842, recall: 0.7948, relative_absolute_error: 0.4864, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.453, root_relative_squared_error: 0.9863, scimark_benchmark: 1827.4462, usercpu_time_millis: 111750, usercpu_time_millis_testing: 828.125, usercpu_time_millis_training: 110921.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9152, kappa: 0.7976, kb_relative_information_score: 6034.9046, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.915, predictive_accuracy: 0.9158, prior_entropy: 0.8842, recall: 0.9158, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.5369, scimark_benchmark: 1339.8909, usercpu_time_millis: 12670, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 12650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.9135, kappa: 0.7942, kb_relative_information_score: 5828.7683, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9133, predictive_accuracy: 0.9139, prior_entropy: 0.8842, recall: 0.9139, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2525, root_relative_squared_error: 0.5497, scimark_benchmark: 1871.4229, usercpu_time_millis: 2734.375, usercpu_time_millis_training: 2734.375,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.8848, kappa: 0.7217, kb_relative_information_score: 5861.0496, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8867, predictive_accuracy: 0.8877, prior_entropy: 0.8842, recall: 0.8877, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.6973, scimark_benchmark: 1388.491, usercpu_time_millis: 180, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.9098, kappa: 0.787, kb_relative_information_score: 5417.0854, mean_absolute_error: 0.1531, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9102, predictive_accuracy: 0.9095, prior_entropy: 0.8842, recall: 0.9095, relative_absolute_error: 0.3629, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2676, root_relative_squared_error: 0.5827, scimark_benchmark: 1274.8765, usercpu_time_millis: 3750, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.9069, kappa: 0.7764, kb_relative_information_score: 6287.2898, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9076, predictive_accuracy: 0.9084, prior_entropy: 0.8842, recall: 0.9084, relative_absolute_error: 0.217, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3026, root_relative_squared_error: 0.6588, scimark_benchmark: 1618.1738, usercpu_time_millis: 171.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.9095, kappa: 0.7836, kb_relative_information_score: 6327.9121, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9095, predictive_accuracy: 0.9104, prior_entropy: 0.8842, recall: 0.9104, relative_absolute_error: 0.2124, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.6517, scimark_benchmark: 1618.1738, usercpu_time_millis: 312.5, usercpu_time_millis_training: 312.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9129, kappa: 0.7914, kb_relative_information_score: 5861.5821, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9131, predictive_accuracy: 0.9139, prior_entropy: 0.8842, recall: 0.9139, relative_absolute_error: 0.2894, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2486, root_relative_squared_error: 0.5412, scimark_benchmark: 1744.8652, usercpu_time_millis: 218.75, usercpu_time_millis_training: 218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.8967, kappa: 0.7541, kb_relative_information_score: 6052.2672, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8964, predictive_accuracy: 0.8972, prior_entropy: 0.8842, recall: 0.8972, relative_absolute_error: 0.2439, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3206, root_relative_squared_error: 0.6979, scimark_benchmark: 1744.8652, usercpu_time_millis: 3015.625, usercpu_time_millis_testing: 2968.75, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9093, kappa: 0.7837, kb_relative_information_score: 5835.5585, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.909, predictive_accuracy: 0.9098, prior_entropy: 0.8842, recall: 0.9098, relative_absolute_error: 0.2882, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.5594, scimark_benchmark: 1744.8652, usercpu_time_millis: 2140.625, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 2109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.9057, kappa: 0.7736, kb_relative_information_score: 5563.6353, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9062, predictive_accuracy: 0.9071, prior_entropy: 0.8842, recall: 0.9071, relative_absolute_error: 0.3388, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2831, root_relative_squared_error: 0.6164, scimark_benchmark: 1744.8652, usercpu_time_millis: 984.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 968.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.9085, kappa: 0.7813, kb_relative_information_score: 5818.6424, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9085, predictive_accuracy: 0.9094, prior_entropy: 0.8842, recall: 0.9094, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.5855, scimark_benchmark: 1744.8652, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9262, kappa: 0.8234, kb_relative_information_score: 5988.2638, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9264, predictive_accuracy: 0.927, prior_entropy: 0.8842, recall: 0.927, relative_absolute_error: 0.2773, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.5044, scimark_benchmark: 1744.8652, usercpu_time_millis: 3531.25, usercpu_time_millis_testing: 687.5, usercpu_time_millis_training: 2843.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.8692, kappa: 0.6862, kb_relative_information_score: 4853.0642, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8689, predictive_accuracy: 0.871, prior_entropy: 0.8842, recall: 0.871, relative_absolute_error: 0.413, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.7322, scimark_benchmark: 1744.8652, usercpu_time_millis: 218.75, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.9055, kappa: 0.7745, kb_relative_information_score: 6007.9983, mean_absolute_error: 0.1102, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9052, predictive_accuracy: 0.9061, prior_entropy: 0.8842, recall: 0.9061, relative_absolute_error: 0.2612, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2848, root_relative_squared_error: 0.62, scimark_benchmark: 1744.8652, usercpu_time_millis: 296.875, usercpu_time_millis_training: 296.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.8848, kappa: 0.7217, kb_relative_information_score: 5861.0496, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8867, predictive_accuracy: 0.8877, prior_entropy: 0.8842, recall: 0.8877, relative_absolute_error: 0.2665, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.6973, scimark_benchmark: 1744.8652, usercpu_time_millis: 125, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.9069, kappa: 0.7764, kb_relative_information_score: 6287.2898, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9076, predictive_accuracy: 0.9084, prior_entropy: 0.8842, recall: 0.9084, relative_absolute_error: 0.217, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3026, root_relative_squared_error: 0.6588, scimark_benchmark: 1744.8652, usercpu_time_millis: 156.25, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.9095, kappa: 0.7836, kb_relative_information_score: 6327.9121, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9095, predictive_accuracy: 0.9104, prior_entropy: 0.8842, recall: 0.9104, relative_absolute_error: 0.2124, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.6517, scimark_benchmark: 1744.8652, usercpu_time_millis: 312.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 296.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.9097, kappa: 0.7867, kb_relative_information_score: 5417.0222, mean_absolute_error: 0.1531, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9101, predictive_accuracy: 0.9094, prior_entropy: 0.8842, recall: 0.9094, relative_absolute_error: 0.3629, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2676, root_relative_squared_error: 0.5827, scimark_benchmark: 1744.8652, usercpu_time_millis: 2609.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 2593.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9129, kappa: 0.7914, kb_relative_information_score: 5861.5821, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9131, predictive_accuracy: 0.9139, prior_entropy: 0.8842, recall: 0.9139, relative_absolute_error: 0.2894, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2486, root_relative_squared_error: 0.5412, scimark_benchmark: 1744.8652, usercpu_time_millis: 250, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 234.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.8967, kappa: 0.7541, kb_relative_information_score: 6052.2672, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8964, predictive_accuracy: 0.8972, prior_entropy: 0.8842, recall: 0.8972, relative_absolute_error: 0.2439, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3206, root_relative_squared_error: 0.6979, scimark_benchmark: 1744.8652, usercpu_time_millis: 3265.625, usercpu_time_millis_testing: 3203.125, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9093, kappa: 0.7837, kb_relative_information_score: 5835.5585, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.909, predictive_accuracy: 0.9098, prior_entropy: 0.8842, recall: 0.9098, relative_absolute_error: 0.2882, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.5594, scimark_benchmark: 1744.8652, usercpu_time_millis: 1765.625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.9075, kappa: 0.7782, kb_relative_information_score: 5599.1196, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9077, predictive_accuracy: 0.9087, prior_entropy: 0.8842, recall: 0.9087, relative_absolute_error: 0.3343, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.6126, scimark_benchmark: 1744.8652, usercpu_time_millis: 1031.25, usercpu_time_millis_training: 1031.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.9092, kappa: 0.7829, kb_relative_information_score: 5822.4433, mean_absolute_error: 0.1237, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9091, predictive_accuracy: 0.91, prior_entropy: 0.8842, recall: 0.91, relative_absolute_error: 0.2932, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2678, root_relative_squared_error: 0.5831, scimark_benchmark: 1744.8652, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9218, kappa: 0.8128, kb_relative_information_score: 5989.2586, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9221, predictive_accuracy: 0.9227, prior_entropy: 0.8842, recall: 0.9227, relative_absolute_error: 0.2769, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.5042, scimark_benchmark: 1744.8652, usercpu_time_millis: 3437.5, usercpu_time_millis_testing: 390.625, usercpu_time_millis_training: 3046.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.8692, kappa: 0.6862, kb_relative_information_score: 4853.0642, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8689, predictive_accuracy: 0.871, prior_entropy: 0.8842, recall: 0.871, relative_absolute_error: 0.413, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.7322, scimark_benchmark: 1744.8652, usercpu_time_millis: 109.375, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.9048, kappa: 0.773, kb_relative_information_score: 5995.4962, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9046, predictive_accuracy: 0.9055, prior_entropy: 0.8842, recall: 0.9055, relative_absolute_error: 0.2625, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2859, root_relative_squared_error: 0.6224, scimark_benchmark: 1744.8652, usercpu_time_millis: 218.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9129, kappa: 0.7914, kb_relative_information_score: 5861.5821, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9131, predictive_accuracy: 0.9139, prior_entropy: 0.8842, recall: 0.9139, relative_absolute_error: 0.2894, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2486, root_relative_squared_error: 0.5412, scimark_benchmark: 1327.5254, usercpu_time_millis: 203.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.9086, kappa: 0.7813, kb_relative_information_score: 5658.345, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9086, predictive_accuracy: 0.9095, prior_entropy: 0.8842, recall: 0.9095, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2784, root_relative_squared_error: 0.6063, scimark_benchmark: 1834.908, usercpu_time_millis: 1390.625, usercpu_time_millis_training: 1390.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9093, kappa: 0.7837, kb_relative_information_score: 5835.5585, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.909, predictive_accuracy: 0.9098, prior_entropy: 0.8842, recall: 0.9098, relative_absolute_error: 0.2882, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.5594, scimark_benchmark: 1788.6668, usercpu_time_millis: 3390.625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 3375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.9097, kappa: 0.7867, kb_relative_information_score: 5416.9705, mean_absolute_error: 0.1531, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9101, predictive_accuracy: 0.9094, prior_entropy: 0.8842, recall: 0.9094, relative_absolute_error: 0.3629, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2676, root_relative_squared_error: 0.5827, scimark_benchmark: 1788.6668, usercpu_time_millis: 2390.625, usercpu_time_millis_training: 2390.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.9072, kappa: 0.7784, kb_relative_information_score: 5797.8815, mean_absolute_error: 0.1234, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.907, predictive_accuracy: 0.908, prior_entropy: 0.8842, recall: 0.908, relative_absolute_error: 0.2924, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.5631, scimark_benchmark: 1788.6668, usercpu_time_millis: 1218.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.9067, kappa: 0.7762, kb_relative_information_score: 5540.2264, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9071, predictive_accuracy: 0.9081, prior_entropy: 0.8842, recall: 0.9081, relative_absolute_error: 0.3432, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2824, root_relative_squared_error: 0.615, scimark_benchmark: 1788.6668, usercpu_time_millis: 1265.625, usercpu_time_millis_training: 1265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.8837, kappa: 0.7259, kb_relative_information_score: 4815.2175, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8846, predictive_accuracy: 0.8831, prior_entropy: 0.8842, recall: 0.8831, relative_absolute_error: 0.4329, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.6494, scimark_benchmark: 1788.6668, usercpu_time_millis: 2015.625, usercpu_time_millis_training: 2015.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.8907, kappa: 0.7372, kb_relative_information_score: 5272.1181, mean_absolute_error: 0.1533, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.891, predictive_accuracy: 0.8925, prior_entropy: 0.8842, recall: 0.8925, relative_absolute_error: 0.3632, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.6035, scimark_benchmark: 1788.6668, usercpu_time_millis: 187.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.885, kappa: 0.722, kb_relative_information_score: 5860.7554, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.887, predictive_accuracy: 0.8879, prior_entropy: 0.8842, recall: 0.8879, relative_absolute_error: 0.2656, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.7289, scimark_benchmark: 1788.6668, usercpu_time_millis: 125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.9069, kappa: 0.7764, kb_relative_information_score: 6287.2898, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9076, predictive_accuracy: 0.9084, prior_entropy: 0.8842, recall: 0.9084, relative_absolute_error: 0.217, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3026, root_relative_squared_error: 0.6588, scimark_benchmark: 980.4888, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9129, kappa: 0.7914, kb_relative_information_score: 5861.5821, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9131, predictive_accuracy: 0.9139, prior_entropy: 0.8842, recall: 0.9139, relative_absolute_error: 0.2894, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2486, root_relative_squared_error: 0.5412, scimark_benchmark: 1144.6978, usercpu_time_millis: 380, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.8959, kappa: 0.7513, kb_relative_information_score: 5520.1974, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8957, predictive_accuracy: 0.8969, prior_entropy: 0.8842, recall: 0.8969, relative_absolute_error: 0.3248, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2698, root_relative_squared_error: 0.5875, scimark_benchmark: 1860.4354, usercpu_time_millis: 5296.875, usercpu_time_millis_testing: 5265.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.8646, kappa: 0.6891, kb_relative_information_score: 5419.9788, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8742, predictive_accuracy: 0.8615, prior_entropy: 0.8842, recall: 0.8615, relative_absolute_error: 0.3143, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.6852, scimark_benchmark: 1840.6094, usercpu_time_millis: 4343.75, usercpu_time_millis_testing: 4265.625, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9173, f_measure: 0.8876, kappa: 0.7396, kb_relative_information_score: 5976.6386, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8935, predictive_accuracy: 0.8855, prior_entropy: 0.8842, recall: 0.8855, relative_absolute_error: 0.2501, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2794, root_relative_squared_error: 0.6083, scimark_benchmark: 1840.6094, usercpu_time_millis: 4562.5, usercpu_time_millis_testing: 4562.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.9137, kappa: 0.7934, kb_relative_information_score: 5957.249, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9137, predictive_accuracy: 0.9146, prior_entropy: 0.8842, recall: 0.9146, relative_absolute_error: 0.2721, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.248, root_relative_squared_error: 0.54, scimark_benchmark: 1873.1108, usercpu_time_millis: 8000, usercpu_time_millis_testing: 8000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.8907, kappa: 0.7376, kb_relative_information_score: 5503.0931, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.891, predictive_accuracy: 0.8925, prior_entropy: 0.8842, recall: 0.8925, relative_absolute_error: 0.3185, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2807, root_relative_squared_error: 0.6111, scimark_benchmark: 1873.1108, usercpu_time_millis: 4015.625, usercpu_time_millis_testing: 3968.75, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.9127, kappa: 0.7904, kb_relative_information_score: 6031.8918, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9132, predictive_accuracy: 0.9139, prior_entropy: 0.8842, recall: 0.9139, relative_absolute_error: 0.2581, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.253, root_relative_squared_error: 0.551, scimark_benchmark: 1873.1108, usercpu_time_millis: 5765.625, usercpu_time_millis_testing: 5765.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.9238, kappa: 0.8179, kb_relative_information_score: 6622.4239, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9239, predictive_accuracy: 0.9246, prior_entropy: 0.8842, recall: 0.9246, relative_absolute_error: 0.1788, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.9236, kappa: 0.8176, kb_relative_information_score: 6614.8072, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9236, predictive_accuracy: 0.9242, prior_entropy: 0.8842, recall: 0.9242, relative_absolute_error: 0.1797, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.5995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.8891, kappa: 0.7335, kb_relative_information_score: 5921.6889, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8894, predictive_accuracy: 0.8909, prior_entropy: 0.8842, recall: 0.8909, relative_absolute_error: 0.2587, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.7193, scimark_benchmark: 1779.392, usercpu_time_millis: 390.0025, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 374.4024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.9095, kappa: 0.7836, kb_relative_information_score: 6327.9121, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9095, predictive_accuracy: 0.9104, prior_entropy: 0.8842, recall: 0.9104, relative_absolute_error: 0.2124, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.6517, scimark_benchmark: 1779.392, usercpu_time_millis: 327.6021, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 312.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.9051, kappa: 0.7738, kb_relative_information_score: 5786.1289, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9048, predictive_accuracy: 0.9056, prior_entropy: 0.8842, recall: 0.9056, relative_absolute_error: 0.2958, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.587, scimark_benchmark: 1779.392, usercpu_time_millis: 62.4004, usercpu_time_millis_training: 62.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.9079, kappa: 0.7798, kb_relative_information_score: 5823.8187, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9078, predictive_accuracy: 0.9088, prior_entropy: 0.8842, recall: 0.9088, relative_absolute_error: 0.2916, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2685, root_relative_squared_error: 0.5847, scimark_benchmark: 1779.392, usercpu_time_millis: 62.4004, usercpu_time_millis_training: 62.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.8569, kappa: 0.6575, kb_relative_information_score: 4789.6306, mean_absolute_error: 0.1734, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8563, predictive_accuracy: 0.8584, prior_entropy: 0.8842, recall: 0.8584, relative_absolute_error: 0.411, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.7624, scimark_benchmark: 1732.2066, usercpu_time_millis: 109.2007, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 93.6006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.8692, kappa: 0.6862, kb_relative_information_score: 4853.0642, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.8689, predictive_accuracy: 0.871, prior_entropy: 0.8842, recall: 0.871, relative_absolute_error: 0.413, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.7322, scimark_benchmark: 1732.2066, usercpu_time_millis: 78.0005, usercpu_time_millis_testing: 31.2002, usercpu_time_millis_training: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.9023, kappa: 0.7657, kb_relative_information_score: 5840.3094, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.4219, number_of_instances: 8192, precision: 0.9025, predictive_accuracy: 0.9036, prior_entropy: 0.8842, recall: 0.9036, relative_absolute_error: 0.2859, root_mean_prior_squared_error: 0.4593, root_mean_squared_error: 0.2788, root_relative_squared_error: 0.607, scimark_benchmark: 1838.8826, usercpu_time_millis: 140.4009, usercpu_time_millis_training: 140.4009,

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