OpenML
Supervised Classification on Australian

Supervised Classification on Australian

Task 125923 Supervised Classification Australian 208614 runs submitted
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  • OpenML100 study_107 study_123 study_14
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208614 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.8497, kappa: 0.6949, kb_relative_information_score: 242.0493, mean_absolute_error: 0.3484, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8519, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.7052, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.7523, scimark_benchmark: 790.4942, usercpu_time_millis: 3.038, usercpu_time_millis_testing: 0.411, usercpu_time_millis_training: 2.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.8655, kappa: 0.7288, kb_relative_information_score: 438.3698, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8671, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.3904, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3022, root_relative_squared_error: 0.6081, scimark_benchmark: 790.2522, usercpu_time_millis: 4.948, usercpu_time_millis_testing: 0.387, usercpu_time_millis_training: 4.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.8655, kappa: 0.7286, kb_relative_information_score: 441.9512, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8668, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.382, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3046, root_relative_squared_error: 0.6129, scimark_benchmark: 1849.8563, usercpu_time_millis: 9.688, usercpu_time_millis_testing: 0.915, usercpu_time_millis_training: 8.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.8651, kappa: 0.7267, kb_relative_information_score: 397.7354, mean_absolute_error: 0.2282, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8651, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.4621, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3108, root_relative_squared_error: 0.6254, scimark_benchmark: 789.6492, usercpu_time_millis: 8.901, usercpu_time_millis_testing: 1.096, usercpu_time_millis_training: 7.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.867, kappa: 0.7318, kb_relative_information_score: 439.0785, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8688, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.3886, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.6096, scimark_benchmark: 790.2522, usercpu_time_millis: 12.176, usercpu_time_millis_testing: 0.954, usercpu_time_millis_training: 11.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.854, kappa: 0.7055, kb_relative_information_score: 450.9666, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8556, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.3609, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.6256, scimark_benchmark: 790.3999, usercpu_time_millis: 12.318, usercpu_time_millis_testing: 0.596, usercpu_time_millis_training: 11.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.8627, kappa: 0.7256, kb_relative_information_score: 421.2843, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8718, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.4148, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3124, root_relative_squared_error: 0.6286, scimark_benchmark: 1779.6912, usercpu_time_millis: 0.635, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 0.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.8699, kappa: 0.7376, kb_relative_information_score: 439.1338, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8716, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.3878, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.612, scimark_benchmark: 1953.4822, usercpu_time_millis: 2.68, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 2.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.8583, kappa: 0.7141, kb_relative_information_score: 442.622, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8598, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.3801, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.616, scimark_benchmark: 1748.2025, usercpu_time_millis: 6.666, usercpu_time_millis_testing: 0.715, usercpu_time_millis_training: 5.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.8568, kappa: 0.7111, kb_relative_information_score: 442.4462, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8582, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.3798, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.6173, scimark_benchmark: 790.158, usercpu_time_millis: 22.184, usercpu_time_millis_testing: 1.642, usercpu_time_millis_training: 20.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.8684, kappa: 0.7346, kb_relative_information_score: 430.7663, mean_absolute_error: 0.1994, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.87, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.4037, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.6116, scimark_benchmark: 1753.7527, usercpu_time_millis: 3.857, usercpu_time_millis_testing: 0.504, usercpu_time_millis_training: 3.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.8655, kappa: 0.7284, kb_relative_information_score: 438.8349, mean_absolute_error: 0.1915, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8666, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.3878, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3054, root_relative_squared_error: 0.6145, scimark_benchmark: 1862.6121, usercpu_time_millis: 3.754, usercpu_time_millis_testing: 0.391, usercpu_time_millis_training: 3.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.867, kappa: 0.7318, kb_relative_information_score: 437.3126, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8688, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.3917, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.6099, scimark_benchmark: 790.2522, usercpu_time_millis: 7.903, usercpu_time_millis_testing: 0.593, usercpu_time_millis_training: 7.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.8555, kappa: 0.7088, kb_relative_information_score: 325.6351, mean_absolute_error: 0.2854, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8579, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.6818, scimark_benchmark: 1821.4369, usercpu_time_millis: 2.394, usercpu_time_millis_testing: 0.398, usercpu_time_millis_training: 1.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.8684, kappa: 0.7343, kb_relative_information_score: 440.0596, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8694, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.3862, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3033, root_relative_squared_error: 0.6103, scimark_benchmark: 791.0776, usercpu_time_millis: 4.696, usercpu_time_millis_testing: 0.313, usercpu_time_millis_training: 4.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8514, kappa: 0.6985, kb_relative_information_score: 174.1204, mean_absolute_error: 0.3946, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8599, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.7989, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.8199, scimark_benchmark: 790.158, usercpu_time_millis: 2.842, usercpu_time_millis_testing: 0.442, usercpu_time_millis_training: 2.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8699, kappa: 0.7375, kb_relative_information_score: 437.2607, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8713, predictive_accuracy: 0.8696, prior_entropy: 0.9913, recall: 0.8696, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.615, scimark_benchmark: 789.6492, usercpu_time_millis: 11.799, usercpu_time_millis_testing: 0.84, usercpu_time_millis_training: 10.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8553, kappa: 0.7075, kb_relative_information_score: 453.6013, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8558, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3561, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3139, root_relative_squared_error: 0.6317, scimark_benchmark: 790.2522, usercpu_time_millis: 23.925, usercpu_time_millis_testing: 1.229, usercpu_time_millis_training: 22.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.8525, kappa: 0.7024, kb_relative_information_score: 449.296, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.854, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.362, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.6475, scimark_benchmark: 789.6492, usercpu_time_millis: 27.905, usercpu_time_millis_testing: 1.46, usercpu_time_millis_training: 26.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.8667, kappa: 0.7302, kb_relative_information_score: 391.0445, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8668, predictive_accuracy: 0.8667, prior_entropy: 0.9913, recall: 0.8667, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.6273, scimark_benchmark: 1952.6579, usercpu_time_millis: 0.473, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 354.4639, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.5301, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6616, scimark_benchmark: 1839.1912, usercpu_time_millis: 0.888, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 0.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, f_measure: 0.8602, kappa: 0.7163, kb_relative_information_score: 237.2632, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8614, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.7126, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.757, scimark_benchmark: 1839.9154, usercpu_time_millis: 0.881, usercpu_time_millis_testing: 0.268, usercpu_time_millis_training: 0.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.8655, kappa: 0.7283, kb_relative_information_score: 401.2471, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.4518, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.6284, scimark_benchmark: 1921.0718, usercpu_time_millis: 1.238, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 1.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.8583, kappa: 0.7139, kb_relative_information_score: 446.797, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8595, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.3698, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3084, root_relative_squared_error: 0.6206, scimark_benchmark: 1826.2526, usercpu_time_millis: 9.069, usercpu_time_millis_testing: 0.795, usercpu_time_millis_training: 8.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.8613, kappa: 0.7221, kb_relative_information_score: 397.3952, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8681, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.4574, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.6329, scimark_benchmark: 790.2522, usercpu_time_millis: 1.041, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.8684, kappa: 0.7345, kb_relative_information_score: 440.1532, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8697, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.3864, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.6094, scimark_benchmark: 1930.0973, usercpu_time_millis: 2.794, usercpu_time_millis_testing: 0.234, usercpu_time_millis_training: 2.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.8684, kappa: 0.7345, kb_relative_information_score: 439.1317, mean_absolute_error: 0.1918, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8697, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.3882, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3037, root_relative_squared_error: 0.6111, scimark_benchmark: 789.9178, usercpu_time_millis: 3.241, usercpu_time_millis_testing: 0.241, usercpu_time_millis_training: 3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8524, kappa: 0.7017, kb_relative_information_score: 448.0273, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8529, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.3646, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6311, scimark_benchmark: 1831.7228, usercpu_time_millis: 12.189, usercpu_time_millis_testing: 0.972, usercpu_time_millis_training: 11.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.8626, kappa: 0.7224, kb_relative_information_score: 437.1696, mean_absolute_error: 0.1932, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8634, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3051, root_relative_squared_error: 0.614, scimark_benchmark: 1929.6126, usercpu_time_millis: 7.612, usercpu_time_millis_testing: 0.842, usercpu_time_millis_training: 6.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8681, kappa: 0.7329, kb_relative_information_score: 402.0373, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8681, predictive_accuracy: 0.8681, prior_entropy: 0.9913, recall: 0.8681, relative_absolute_error: 0.4549, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3101, root_relative_squared_error: 0.624, scimark_benchmark: 1851.8408, usercpu_time_millis: 11.879, usercpu_time_millis_testing: 1.838, usercpu_time_millis_training: 10.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.8101, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7099, scimark_benchmark: 1297.8596, usercpu_time_millis: 3.772, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 3.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.8521, kappa: 0.7005, kb_relative_information_score: 382.6236, mean_absolute_error: 0.2373, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8521, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.4804, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.6775, scimark_benchmark: 1318.7799, usercpu_time_millis: 0.838, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.814, f_measure: 0.6969, kappa: 0.3985, kb_relative_information_score: 146.2018, mean_absolute_error: 0.4035, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7444, predictive_accuracy: 0.7159, prior_entropy: 0.9913, recall: 0.7159, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.439, root_relative_squared_error: 0.8834, scimark_benchmark: 1315.6546, usercpu_time_millis: 1.338, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 1.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.7081, kappa: 0.4239, kb_relative_information_score: 160.6897, mean_absolute_error: 0.3945, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7695, predictive_accuracy: 0.729, prior_entropy: 0.9913, recall: 0.729, relative_absolute_error: 0.7986, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.8629, scimark_benchmark: 1296.3121, usercpu_time_millis: 1.258, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 1.223,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.3949, kappa: -0.0058, kb_relative_information_score: -0.2615, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3074, predictive_accuracy: 0.5522, prior_entropy: 0.9913, recall: 0.5522, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0004, scimark_benchmark: 1290.0804, usercpu_time_millis: 2.432, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 2.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8491, f_measure: 0.8075, kappa: 0.6109, kb_relative_information_score: 275.7038, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.808, predictive_accuracy: 0.8072, prior_entropy: 0.9913, recall: 0.8072, relative_absolute_error: 0.6361, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.7914, scimark_benchmark: 1309.4581, usercpu_time_millis: 2.701, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 2.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8944, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 387.6152, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4756, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.6893, scimark_benchmark: 1312.7778, usercpu_time_millis: 0.677, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8206, f_measure: 0.6804, kappa: 0.3669, kb_relative_information_score: 120.5839, mean_absolute_error: 0.421, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7285, predictive_accuracy: 0.7014, prior_entropy: 0.9913, recall: 0.7014, relative_absolute_error: 0.8523, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.9031, scimark_benchmark: 1315.738, usercpu_time_millis: 0.94, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, f_measure: 0.3936, kappa: -0.0116, kb_relative_information_score: -2.0434, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3067, predictive_accuracy: 0.5493, prior_entropy: 0.9913, recall: 0.5493, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0036, scimark_benchmark: 1310.7941, usercpu_time_millis: 2.313, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 2.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 365.0967, mean_absolute_error: 0.2528, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5117, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7099, scimark_benchmark: 1291.4903, usercpu_time_millis: 2.341, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 2.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 394.6525, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4637, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.6838, scimark_benchmark: 1298.6603, usercpu_time_millis: 1.103, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 1.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.8034, kappa: 0.6043, kb_relative_information_score: 209.9815, mean_absolute_error: 0.3592, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8063, predictive_accuracy: 0.8029, prior_entropy: 0.9913, recall: 0.8029, relative_absolute_error: 0.7273, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.8429, scimark_benchmark: 1305.8855, usercpu_time_millis: 2.246, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 2.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 388.9995, mean_absolute_error: 0.2337, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4732, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3423, root_relative_squared_error: 0.6887, scimark_benchmark: 1284.9327, usercpu_time_millis: 0.642, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.857, kappa: 0.7128, kb_relative_information_score: 419.1349, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8618, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.4209, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3219, root_relative_squared_error: 0.6477, scimark_benchmark: 1313.3136, usercpu_time_millis: 1.037, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.3556, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.513, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7101, scimark_benchmark: 1313.0251, usercpu_time_millis: 43.504, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 43.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 389.6039, mean_absolute_error: 0.2332, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4722, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.6883, scimark_benchmark: 1295.4566, usercpu_time_millis: 0.931, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.8435, kappa: 0.6831, kb_relative_information_score: 360.3784, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8435, predictive_accuracy: 0.8435, prior_entropy: 0.9913, recall: 0.8435, relative_absolute_error: 0.5174, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.344, root_relative_squared_error: 0.6923, scimark_benchmark: 1291.1723, usercpu_time_millis: 0.847, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.8627, kappa: 0.7249, kb_relative_information_score: 433.5922, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8692, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3972, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.6369, scimark_benchmark: 1315.8371, usercpu_time_millis: 0.754, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.6345, kappa: 0.2974, kb_relative_information_score: 115.1433, mean_absolute_error: 0.4239, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7289, predictive_accuracy: 0.6739, prior_entropy: 0.9913, recall: 0.6739, relative_absolute_error: 0.8582, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.9053, scimark_benchmark: 1287.2197, usercpu_time_millis: 1.365, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 1.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.6804, kappa: 0.3669, kb_relative_information_score: 120.6203, mean_absolute_error: 0.4209, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7285, predictive_accuracy: 0.7014, prior_entropy: 0.9913, recall: 0.7014, relative_absolute_error: 0.8522, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4489, root_relative_squared_error: 0.9032, scimark_benchmark: 1289.8231, usercpu_time_millis: 1.175, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 1.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.8563, kappa: 0.7089, kb_relative_information_score: 370.0844, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8563, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.4963, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3425, root_relative_squared_error: 0.6893, scimark_benchmark: 1306.8139, usercpu_time_millis: 1.288, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 1.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8108, f_measure: 0.7763, kappa: 0.5461, kb_relative_information_score: 186.1811, mean_absolute_error: 0.3799, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.783, predictive_accuracy: 0.7797, prior_entropy: 0.9913, recall: 0.7797, relative_absolute_error: 0.7691, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4251, root_relative_squared_error: 0.8554, scimark_benchmark: 1316.6884, usercpu_time_millis: 1.385, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 1.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.849, kappa: 0.6939, kb_relative_information_score: 357.7646, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8491, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.5155, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.6972, scimark_benchmark: 1314.1965, usercpu_time_millis: 1.194, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 1.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.7055, kappa: 0.4034, kb_relative_information_score: 109.5603, mean_absolute_error: 0.4242, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7054, predictive_accuracy: 0.7058, prior_entropy: 0.9913, recall: 0.7058, relative_absolute_error: 0.8588, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4556, root_relative_squared_error: 0.9167, scimark_benchmark: 1286.8789, usercpu_time_millis: 2.982, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 2.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.855, kappa: 0.7062, kb_relative_information_score: 368.5111, mean_absolute_error: 0.2464, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8549, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4989, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.6899, scimark_benchmark: 1315.5027, usercpu_time_millis: 1.313, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 1.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.3963, kb_relative_information_score: 0.0764, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1292.1192, usercpu_time_millis: 2.324, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 2.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.8612, kappa: 0.723, kb_relative_information_score: 430.2384, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8714, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.4027, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.6467, scimark_benchmark: 1280.6738, usercpu_time_millis: 0.75, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8541, kappa: 0.7068, kb_relative_information_score: 415.2687, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8584, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.419, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.6771, scimark_benchmark: 1288.8642, usercpu_time_millis: 1.966, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 1.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 387.8868, mean_absolute_error: 0.2347, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4751, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3425, root_relative_squared_error: 0.6893, scimark_benchmark: 1303.9086, usercpu_time_millis: 0.661, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.6102, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5126, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.71, scimark_benchmark: 1289.4998, usercpu_time_millis: 9.4, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 9.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.8569, kappa: 0.7144, kb_relative_information_score: 406.0539, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8674, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.444, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.6668, scimark_benchmark: 1302.7105, usercpu_time_millis: 0.99, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6485, f_measure: 0.6429, kappa: 0.3026, kb_relative_information_score: 94.0578, mean_absolute_error: 0.4353, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7085, predictive_accuracy: 0.6739, prior_entropy: 0.9913, recall: 0.6739, relative_absolute_error: 0.8814, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4661, root_relative_squared_error: 0.9379, scimark_benchmark: 1286.074, usercpu_time_millis: 1.262, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 1.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7452, kappa: 0.4874, kb_relative_information_score: 173.1587, mean_absolute_error: 0.3871, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7717, predictive_accuracy: 0.7551, prior_entropy: 0.9913, recall: 0.7551, relative_absolute_error: 0.7836, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8617, scimark_benchmark: 1308.0454, usercpu_time_millis: 0.884, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, f_measure: 0.754, kappa: 0.5008, kb_relative_information_score: 198.0849, mean_absolute_error: 0.3681, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7608, predictive_accuracy: 0.758, prior_entropy: 0.9913, recall: 0.758, relative_absolute_error: 0.7453, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.8484, scimark_benchmark: 1310.0074, usercpu_time_millis: 1.12, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 1.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.8613, kappa: 0.7228, kb_relative_information_score: 432.7247, mean_absolute_error: 0.1968, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8707, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.3985, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.6426, scimark_benchmark: 1290.1545, usercpu_time_millis: 0.711, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3949, kappa: -0.0058, kb_relative_information_score: -1.3044, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3074, predictive_accuracy: 0.5522, prior_entropy: 0.9913, recall: 0.5522, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4988, root_relative_squared_error: 1.0037, scimark_benchmark: 1284.2486, usercpu_time_millis: 2.429, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 2.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.8728, kappa: 0.7441, kb_relative_information_score: 432.0374, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8761, predictive_accuracy: 0.8725, prior_entropy: 0.9913, recall: 0.8725, relative_absolute_error: 0.3996, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.6374, scimark_benchmark: 1283.8377, usercpu_time_millis: 0.789, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7622, f_measure: 0.5869, kappa: 0.2065, kb_relative_information_score: 75.5721, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6618, predictive_accuracy: 0.6319, prior_entropy: 0.9913, recall: 0.6319, relative_absolute_error: 0.9066, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4701, root_relative_squared_error: 0.9459, scimark_benchmark: 1313.216, usercpu_time_millis: 2.406, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 2.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6477, f_measure: 0.6378, kappa: 0.2931, kb_relative_information_score: 90.7243, mean_absolute_error: 0.4375, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.703, predictive_accuracy: 0.6696, prior_entropy: 0.9913, recall: 0.6696, relative_absolute_error: 0.8857, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4671, root_relative_squared_error: 0.94, scimark_benchmark: 1279.4363, usercpu_time_millis: 1.301, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 1.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.7944, kappa: 0.5842, kb_relative_information_score: 261.7069, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7947, predictive_accuracy: 0.7942, prior_entropy: 0.9913, recall: 0.7942, relative_absolute_error: 0.6576, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.8043, scimark_benchmark: 1281.7296, usercpu_time_millis: 1.843, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 1.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.7983, kappa: 0.5914, kb_relative_information_score: 276.378, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8125, predictive_accuracy: 0.8029, prior_entropy: 0.9913, recall: 0.8029, relative_absolute_error: 0.6368, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7622, scimark_benchmark: 1290.6086, usercpu_time_millis: 1.241, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.8447, kappa: 0.6851, kb_relative_information_score: 357.1993, mean_absolute_error: 0.2551, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8447, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.5164, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3466, root_relative_squared_error: 0.6974, scimark_benchmark: 1290.0453, usercpu_time_millis: 1.231, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 1.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.8526, kappa: 0.7049, kb_relative_information_score: 415.1083, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.86, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.4193, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.6753, scimark_benchmark: 1315.1265, usercpu_time_millis: 1.962, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 1.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.3963, kb_relative_information_score: -0.0449, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1306.1609, usercpu_time_millis: 1.803, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 1.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8642, kappa: 0.7267, kb_relative_information_score: 420.2204, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8674, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.4143, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.327, root_relative_squared_error: 0.6581, scimark_benchmark: 1287.3495, usercpu_time_millis: 1.945, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 1.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.7747, kappa: 0.5425, kb_relative_information_score: 218.3997, mean_absolute_error: 0.3568, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7775, predictive_accuracy: 0.7768, prior_entropy: 0.9913, recall: 0.7768, relative_absolute_error: 0.7224, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.8255, scimark_benchmark: 1304.724, usercpu_time_millis: 1.129, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 1.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8655, kappa: 0.7288, kb_relative_information_score: 423.5294, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8671, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.4135, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.6427, scimark_benchmark: 1315.0329, usercpu_time_millis: 1.343, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 1.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.761, f_measure: 0.668, kappa: 0.3354, kb_relative_information_score: 107.4456, mean_absolute_error: 0.4294, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.6954, predictive_accuracy: 0.6841, prior_entropy: 0.9913, recall: 0.6841, relative_absolute_error: 0.8693, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9246, scimark_benchmark: 1273.206, usercpu_time_millis: 1.209, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 1.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4776, f_measure: 0.3936, kappa: -0.0116, kb_relative_information_score: -2.0588, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3067, predictive_accuracy: 0.5493, prior_entropy: 0.9913, recall: 0.5493, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.0033, scimark_benchmark: 1315.7757, usercpu_time_millis: 2.41, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 2.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8145, f_measure: 0.7293, kappa: 0.4707, kb_relative_information_score: 155.9871, mean_absolute_error: 0.3936, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7573, predictive_accuracy: 0.7304, prior_entropy: 0.9913, recall: 0.7304, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8793, scimark_benchmark: 1289.3228, usercpu_time_millis: 2.536, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 2.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 391.9992, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4682, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.6854, scimark_benchmark: 1288.476, usercpu_time_millis: 1.105, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 1.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.8627, kappa: 0.7249, kb_relative_information_score: 433.7183, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8692, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3971, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.6367, scimark_benchmark: 1303.5635, usercpu_time_millis: 0.792, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.857, kappa: 0.7128, kb_relative_information_score: 410.5581, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8618, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.427, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.6786, scimark_benchmark: 1310.8025, usercpu_time_millis: 1.9, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 1.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.7984, kappa: 0.5918, kb_relative_information_score: 283.6211, mean_absolute_error: 0.3084, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7984, predictive_accuracy: 0.7986, prior_entropy: 0.9913, recall: 0.7986, relative_absolute_error: 0.6244, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3911, root_relative_squared_error: 0.7871, scimark_benchmark: 1313.3969, usercpu_time_millis: 1.804, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 1.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6048, f_measure: 0.3968, kappa: -0.008, kb_relative_information_score: 2.4844, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3961, predictive_accuracy: 0.5507, prior_entropy: 0.9913, recall: 0.5507, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4962, root_relative_squared_error: 0.9984, scimark_benchmark: 1317.2452, usercpu_time_millis: 2.337, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 2.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.4447, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5129, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7101, scimark_benchmark: 1308.7651, usercpu_time_millis: 31.078, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 31.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.8185, kappa: 0.6322, kb_relative_information_score: 283.3035, mean_absolute_error: 0.3104, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8185, predictive_accuracy: 0.8188, prior_entropy: 0.9913, recall: 0.8188, relative_absolute_error: 0.6284, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3848, root_relative_squared_error: 0.7743, scimark_benchmark: 1305.8086, usercpu_time_millis: 0.915, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 389.7319, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.4723, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.6832, scimark_benchmark: 1308.1338, usercpu_time_millis: 1.025, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7677, f_measure: 0.7066, kappa: 0.4137, kb_relative_information_score: 93.2134, mean_absolute_error: 0.4344, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7146, predictive_accuracy: 0.7058, prior_entropy: 0.9913, recall: 0.7058, relative_absolute_error: 0.8795, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.462, root_relative_squared_error: 0.9296, scimark_benchmark: 1309.87, usercpu_time_millis: 2.384, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 2.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.6321, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5126, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.71, scimark_benchmark: 1281.669, usercpu_time_millis: 6.2, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 6.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8569, kappa: 0.7146, kb_relative_information_score: 424.0478, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8681, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.6557, scimark_benchmark: 1289.5092, usercpu_time_millis: 0.847, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.3963, kb_relative_information_score: -0.0584, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1285.992, usercpu_time_millis: 1.926, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 1.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.857, kappa: 0.7128, kb_relative_information_score: 411.3559, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8618, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.4257, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.337, root_relative_squared_error: 0.6782, scimark_benchmark: 1289.7814, usercpu_time_millis: 1.94, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 1.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.814, f_measure: 0.7396, kappa: 0.4904, kb_relative_information_score: 147.9638, mean_absolute_error: 0.3993, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7674, predictive_accuracy: 0.7406, prior_entropy: 0.9913, recall: 0.7406, relative_absolute_error: 0.8085, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.8839, scimark_benchmark: 1293.4639, usercpu_time_millis: 2.245, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 2.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.8483, kappa: 0.6967, kb_relative_information_score: 364.6507, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8572, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.5125, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7099, scimark_benchmark: 1283.559, usercpu_time_millis: 8.878, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 8.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, f_measure: 0.8368, kappa: 0.6688, kb_relative_information_score: 304.7141, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8381, predictive_accuracy: 0.8377, prior_entropy: 0.9913, recall: 0.8377, relative_absolute_error: 0.5999, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.7436, scimark_benchmark: 1317.5242, usercpu_time_millis: 0.89, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7323, f_measure: 0.6853, kappa: 0.3728, kb_relative_information_score: 125.7758, mean_absolute_error: 0.417, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7229, predictive_accuracy: 0.7029, prior_entropy: 0.9913, recall: 0.7029, relative_absolute_error: 0.8441, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4521, root_relative_squared_error: 0.9097, scimark_benchmark: 1306.17, usercpu_time_millis: 1.247, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.8452, kappa: 0.6872, kb_relative_information_score: 392.7192, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8458, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.4616, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.6751, scimark_benchmark: 1305.4126, usercpu_time_millis: 1.178, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 1.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4872, f_measure: 0.3936, kappa: -0.0116, kb_relative_information_score: -1.8057, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.3067, predictive_accuracy: 0.5493, prior_entropy: 0.9913, recall: 0.5493, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0031, scimark_benchmark: 1310.1478, usercpu_time_millis: 2.062, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 2.016,

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