Task
Supervised Classification on fri_c1_1000_25

Supervised Classification on fri_c1_1000_25

Task 4485 Supervised Classification fri_c1_1000_25 198 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.8386, kappa: 0.6739, kb_relative_information_score: 5953.0001, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8392, predictive_accuracy: 0.8391, prior_entropy: 0.9939, recall: 0.8391, relative_absolute_error: 0.4258, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3477, root_relative_squared_error: 0.6984, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.8643, kappa: 0.7258, kb_relative_information_score: 5220.3209, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8657, predictive_accuracy: 0.8649, prior_entropy: 0.9939, recall: 0.8649, relative_absolute_error: 0.5169, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6617, scimark_benchmark: 972.587, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.8545, kappa: 0.706, kb_relative_information_score: 6029.878, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8561, predictive_accuracy: 0.8552, prior_entropy: 0.9939, recall: 0.8552, relative_absolute_error: 0.4219, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.6464, scimark_benchmark: 934.3687, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6507, f_measure: 0.655, kappa: 0.3029, kb_relative_information_score: 3035.3277, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.6548, predictive_accuracy: 0.656, prior_entropy: 0.9939, recall: 0.656, relative_absolute_error: 0.6939, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.5865, root_relative_squared_error: 1.178, scimark_benchmark: 916.0735, usercpu_time_millis: 650, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.843, kappa: 0.6829, kb_relative_information_score: 5890.3808, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8434, predictive_accuracy: 0.8434, prior_entropy: 0.9939, recall: 0.8434, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6634, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.843, kappa: 0.6829, kb_relative_information_score: 5890.3808, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8434, predictive_accuracy: 0.8434, prior_entropy: 0.9939, recall: 0.8434, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6634, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.8755, kappa: 0.7483, kb_relative_information_score: 6510.3929, mean_absolute_error: 0.1846, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8769, predictive_accuracy: 0.876, prior_entropy: 0.9939, recall: 0.876, relative_absolute_error: 0.3723, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.295, root_relative_squared_error: 0.5926, scimark_benchmark: 938.191, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6899, f_measure: 0.6298, kappa: 0.2527, kb_relative_information_score: 1939.4039, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.6296, predictive_accuracy: 0.6303, prior_entropy: 0.9939, recall: 0.6303, relative_absolute_error: 0.8167, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4861, root_relative_squared_error: 0.9763, scimark_benchmark: 938.191, usercpu_time_millis: 51610, usercpu_time_millis_testing: 420, usercpu_time_millis_training: 51190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.8572, kappa: 0.7119, kb_relative_information_score: 6481.9766, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8572, predictive_accuracy: 0.8573, prior_entropy: 0.9939, recall: 0.8573, relative_absolute_error: 0.3674, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.6691, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6507, f_measure: 0.655, kappa: 0.3029, kb_relative_information_score: 3035.3277, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.6548, predictive_accuracy: 0.656, prior_entropy: 0.9939, recall: 0.656, relative_absolute_error: 0.6939, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.5865, root_relative_squared_error: 1.178, scimark_benchmark: 941.3847, usercpu_time_millis: 630, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6507, f_measure: 0.655, kappa: 0.3029, kb_relative_information_score: 3035.3277, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.6548, predictive_accuracy: 0.656, prior_entropy: 0.9939, recall: 0.656, relative_absolute_error: 0.6939, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.5865, root_relative_squared_error: 1.178, scimark_benchmark: 932.438, usercpu_time_millis: 700, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.8425, kappa: 0.682, kb_relative_information_score: 5797.6823, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8427, predictive_accuracy: 0.8428, prior_entropy: 0.9939, recall: 0.8428, relative_absolute_error: 0.4413, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.6726, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.8891, kappa: 0.776, kb_relative_information_score: 5177.4655, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8897, predictive_accuracy: 0.8894, prior_entropy: 0.9939, recall: 0.8894, relative_absolute_error: 0.5326, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.6293, scimark_benchmark: 947.1781, usercpu_time_millis: 500, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.8386, kappa: 0.6739, kb_relative_information_score: 5953.0001, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8392, predictive_accuracy: 0.8391, prior_entropy: 0.9939, recall: 0.8391, relative_absolute_error: 0.4258, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3477, root_relative_squared_error: 0.6984, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.8643, kappa: 0.7258, kb_relative_information_score: 5220.3209, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8657, predictive_accuracy: 0.8649, prior_entropy: 0.9939, recall: 0.8649, relative_absolute_error: 0.5169, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6617, scimark_benchmark: 908.9569, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.8545, kappa: 0.706, kb_relative_information_score: 6029.878, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8561, predictive_accuracy: 0.8552, prior_entropy: 0.9939, recall: 0.8552, relative_absolute_error: 0.4219, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.6464, scimark_benchmark: 938.1282, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6507, f_measure: 0.655, kappa: 0.3029, kb_relative_information_score: 3035.3277, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.6548, predictive_accuracy: 0.656, prior_entropy: 0.9939, recall: 0.656, relative_absolute_error: 0.6939, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.5865, root_relative_squared_error: 1.178, scimark_benchmark: 904.5548, usercpu_time_millis: 660, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.843, kappa: 0.6829, kb_relative_information_score: 5890.3808, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8434, predictive_accuracy: 0.8434, prior_entropy: 0.9939, recall: 0.8434, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6634, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.843, kappa: 0.6829, kb_relative_information_score: 5890.3808, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8434, predictive_accuracy: 0.8434, prior_entropy: 0.9939, recall: 0.8434, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6634, scimark_benchmark: 903.2737, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.843, kappa: 0.6829, kb_relative_information_score: 5890.3808, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8434, predictive_accuracy: 0.8434, prior_entropy: 0.9939, recall: 0.8434, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6634, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.8755, kappa: 0.7483, kb_relative_information_score: 6510.3929, mean_absolute_error: 0.1846, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8769, predictive_accuracy: 0.876, prior_entropy: 0.9939, recall: 0.876, relative_absolute_error: 0.3723, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.295, root_relative_squared_error: 0.5926, scimark_benchmark: 930.404, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6899, f_measure: 0.6298, kappa: 0.2527, kb_relative_information_score: 1939.4039, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.6296, predictive_accuracy: 0.6303, prior_entropy: 0.9939, recall: 0.6303, relative_absolute_error: 0.8167, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4861, root_relative_squared_error: 0.9763, scimark_benchmark: 938.4601, usercpu_time_millis: 52460, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 52190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.843, kappa: 0.6829, kb_relative_information_score: 5890.3808, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8434, predictive_accuracy: 0.8434, prior_entropy: 0.9939, recall: 0.8434, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6634, scimark_benchmark: 945.6228, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.8572, kappa: 0.7119, kb_relative_information_score: 6481.9766, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8572, predictive_accuracy: 0.8573, prior_entropy: 0.9939, recall: 0.8573, relative_absolute_error: 0.3674, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.6691, scimark_benchmark: 945.6228, usercpu_time_millis: 450, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.8891, kappa: 0.776, kb_relative_information_score: 5177.4655, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8897, predictive_accuracy: 0.8894, prior_entropy: 0.9939, recall: 0.8894, relative_absolute_error: 0.5326, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.6293, scimark_benchmark: 941.4991, usercpu_time_millis: 510, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.8797, kappa: 0.7573, kb_relative_information_score: 3845.1506, mean_absolute_error: 0.3316, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8797, predictive_accuracy: 0.8797, prior_entropy: 0.9939, recall: 0.8797, relative_absolute_error: 0.6688, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.7288, scimark_benchmark: 943.6618, usercpu_time_millis: 15100, usercpu_time_millis_testing: 5010, usercpu_time_millis_training: 10090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.8775, kappa: 0.753, kb_relative_information_score: 3889.3801, mean_absolute_error: 0.329, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8775, predictive_accuracy: 0.8775, prior_entropy: 0.9939, recall: 0.8775, relative_absolute_error: 0.6635, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7267, scimark_benchmark: 934.7923, usercpu_time_millis: 7180, usercpu_time_millis_testing: 2150, usercpu_time_millis_training: 5030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.8388, kappa: 0.6748, kb_relative_information_score: 3742.6592, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8388, predictive_accuracy: 0.8388, prior_entropy: 0.9939, recall: 0.8388, relative_absolute_error: 0.672, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.7482, scimark_benchmark: 891.6381, usercpu_time_millis: 1550, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 1290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.8145, kappa: 0.6258, kb_relative_information_score: 3729.3231, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8145, predictive_accuracy: 0.8145, prior_entropy: 0.9939, recall: 0.8145, relative_absolute_error: 0.6676, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3796, root_relative_squared_error: 0.7625, scimark_benchmark: 914.3583, usercpu_time_millis: 770, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.8686, kappa: 0.7345, kb_relative_information_score: 6336.1558, mean_absolute_error: 0.1932, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8694, predictive_accuracy: 0.869, prior_entropy: 0.9939, recall: 0.869, relative_absolute_error: 0.3897, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.6171, scimark_benchmark: 941.9549, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.8686, kappa: 0.7345, kb_relative_information_score: 6336.1558, mean_absolute_error: 0.1932, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8694, predictive_accuracy: 0.869, prior_entropy: 0.9939, recall: 0.869, relative_absolute_error: 0.3897, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.6171, scimark_benchmark: 941.9549, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.8686, kappa: 0.7345, kb_relative_information_score: 6336.1558, mean_absolute_error: 0.1932, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8694, predictive_accuracy: 0.869, prior_entropy: 0.9939, recall: 0.869, relative_absolute_error: 0.3897, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.6171, scimark_benchmark: 894.7131, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.8689, kappa: 0.7351, kb_relative_information_score: 6317.656, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8697, predictive_accuracy: 0.8693, prior_entropy: 0.9939, recall: 0.8693, relative_absolute_error: 0.3918, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.6184, scimark_benchmark: 936.1714, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.8621, kappa: 0.7214, kb_relative_information_score: 5873.8554, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.863, predictive_accuracy: 0.8626, prior_entropy: 0.9939, recall: 0.8626, relative_absolute_error: 0.4413, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3182, root_relative_squared_error: 0.639, scimark_benchmark: 926.5859, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, f_measure: 0.3857, kb_relative_information_score: -0.3119, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.2981, predictive_accuracy: 0.546, prior_entropy: 0.9939, recall: 0.546, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4979, root_relative_squared_error: 1, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.8794, kappa: 0.7563, kb_relative_information_score: 7462.3185, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8804, predictive_accuracy: 0.8798, prior_entropy: 0.9939, recall: 0.8798, relative_absolute_error: 0.2556, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.6353, scimark_benchmark: 938.3115, usercpu_time_millis: 1590, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.8587, kappa: 0.7146, kb_relative_information_score: 7039.2994, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8588, predictive_accuracy: 0.8589, prior_entropy: 0.9939, recall: 0.8589, relative_absolute_error: 0.2987, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.6776, scimark_benchmark: 936.1714, usercpu_time_millis: 790, usercpu_time_millis_training: 790,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8782, f_measure: 0.8548, kappa: 0.7069, kb_relative_information_score: 6843.6213, mean_absolute_error: 0.1588, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8549, predictive_accuracy: 0.855, prior_entropy: 0.9939, recall: 0.855, relative_absolute_error: 0.3202, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.7173, scimark_benchmark: 1309.0674, usercpu_time_millis: 160, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.843, kappa: 0.6829, kb_relative_information_score: 5890.3808, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8434, predictive_accuracy: 0.8434, prior_entropy: 0.9939, recall: 0.8434, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6634, scimark_benchmark: 1350.2591, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.843, kappa: 0.6829, kb_relative_information_score: 5890.3808, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8434, predictive_accuracy: 0.8434, prior_entropy: 0.9939, recall: 0.8434, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6634, scimark_benchmark: 1324.6442, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.843, kappa: 0.6829, kb_relative_information_score: 5890.3808, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8434, predictive_accuracy: 0.8434, prior_entropy: 0.9939, recall: 0.8434, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6634, scimark_benchmark: 1310.6554, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.8572, kappa: 0.7119, kb_relative_information_score: 6481.9766, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8572, predictive_accuracy: 0.8573, prior_entropy: 0.9939, recall: 0.8573, relative_absolute_error: 0.3674, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.6691, scimark_benchmark: 1317.2327, usercpu_time_millis: 510, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.8425, kappa: 0.682, kb_relative_information_score: 5797.6823, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8427, predictive_accuracy: 0.8428, prior_entropy: 0.9939, recall: 0.8428, relative_absolute_error: 0.4413, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.6726, scimark_benchmark: 1319.4538, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.843, kappa: 0.6829, kb_relative_information_score: 5890.3808, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8434, predictive_accuracy: 0.8434, prior_entropy: 0.9939, recall: 0.8434, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6634, scimark_benchmark: 1313.11, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.843, kappa: 0.6829, kb_relative_information_score: 5890.3808, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8434, predictive_accuracy: 0.8434, prior_entropy: 0.9939, recall: 0.8434, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6634, scimark_benchmark: 1342.8584, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.843, kappa: 0.6829, kb_relative_information_score: 5890.3808, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8434, predictive_accuracy: 0.8434, prior_entropy: 0.9939, recall: 0.8434, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6634, scimark_benchmark: 1337.9552, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6899, f_measure: 0.6298, kappa: 0.2527, kb_relative_information_score: 1939.4042, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.6296, predictive_accuracy: 0.6303, prior_entropy: 0.9939, recall: 0.6303, relative_absolute_error: 0.8167, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4861, root_relative_squared_error: 0.9763, scimark_benchmark: 1318.6467, usercpu_time_millis: 38800, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 38610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.843, kappa: 0.6829, kb_relative_information_score: 5890.3808, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8434, predictive_accuracy: 0.8434, prior_entropy: 0.9939, recall: 0.8434, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6634, scimark_benchmark: 1306.8702, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.8425, kappa: 0.682, kb_relative_information_score: 5797.6823, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8427, predictive_accuracy: 0.8428, prior_entropy: 0.9939, recall: 0.8428, relative_absolute_error: 0.4413, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.6726, scimark_benchmark: 1313.5633, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.843, kappa: 0.6829, kb_relative_information_score: 5890.3808, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8434, predictive_accuracy: 0.8434, prior_entropy: 0.9939, recall: 0.8434, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6634, scimark_benchmark: 1345.6844, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.843, kappa: 0.6829, kb_relative_information_score: 5890.3808, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8434, predictive_accuracy: 0.8434, prior_entropy: 0.9939, recall: 0.8434, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6634, scimark_benchmark: 1309.2287, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.843, kappa: 0.6829, kb_relative_information_score: 5890.3808, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8434, predictive_accuracy: 0.8434, prior_entropy: 0.9939, recall: 0.8434, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6634, scimark_benchmark: 1350.7721, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.8572, kappa: 0.7119, kb_relative_information_score: 6481.9766, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8572, predictive_accuracy: 0.8573, prior_entropy: 0.9939, recall: 0.8573, relative_absolute_error: 0.3674, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.6691, scimark_benchmark: 1320.8283, usercpu_time_millis: 510, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.8891, kappa: 0.776, kb_relative_information_score: 5177.4655, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8897, predictive_accuracy: 0.8894, prior_entropy: 0.9939, recall: 0.8894, relative_absolute_error: 0.5326, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.6293, scimark_benchmark: 1313.5633, usercpu_time_millis: 470, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.715, f_measure: 0.6529, kappa: 0.2983, kb_relative_information_score: 1827.4159, mean_absolute_error: 0.4144, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.653, predictive_accuracy: 0.6545, prior_entropy: 0.9939, recall: 0.6545, relative_absolute_error: 0.8359, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4629, root_relative_squared_error: 0.9297, scimark_benchmark: 1417.3093, usercpu_time_millis: 1100, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 1010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.8545, kappa: 0.706, kb_relative_information_score: 6029.878, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8561, predictive_accuracy: 0.8552, prior_entropy: 0.9939, recall: 0.8552, relative_absolute_error: 0.4219, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.6464, scimark_benchmark: 1309.4708, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6899, f_measure: 0.6298, kappa: 0.2527, kb_relative_information_score: 1939.4042, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.6296, predictive_accuracy: 0.6303, prior_entropy: 0.9939, recall: 0.6303, relative_absolute_error: 0.8167, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.4861, root_relative_squared_error: 0.9763, scimark_benchmark: 1321.4561, usercpu_time_millis: 40550, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 40340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6507, f_measure: 0.655, kappa: 0.3029, kb_relative_information_score: 3035.3277, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.6548, predictive_accuracy: 0.656, prior_entropy: 0.9939, recall: 0.656, relative_absolute_error: 0.6939, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.5865, root_relative_squared_error: 1.178, scimark_benchmark: 1348.2804, usercpu_time_millis: 560, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.8425, kappa: 0.682, kb_relative_information_score: 5797.6823, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8427, predictive_accuracy: 0.8428, prior_entropy: 0.9939, recall: 0.8428, relative_absolute_error: 0.4413, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.6726, scimark_benchmark: 1352.3373, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.843, kappa: 0.6829, kb_relative_information_score: 5890.3808, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8434, predictive_accuracy: 0.8434, prior_entropy: 0.9939, recall: 0.8434, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6634, scimark_benchmark: 1314.1215, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.843, kappa: 0.6829, kb_relative_information_score: 5890.3808, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8434, predictive_accuracy: 0.8434, prior_entropy: 0.9939, recall: 0.8434, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6634, scimark_benchmark: 1325.6322, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.843, kappa: 0.6829, kb_relative_information_score: 5890.3808, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8434, predictive_accuracy: 0.8434, prior_entropy: 0.9939, recall: 0.8434, relative_absolute_error: 0.4322, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6634, scimark_benchmark: 1308.6872, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.8572, kappa: 0.7119, kb_relative_information_score: 6481.9766, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8572, predictive_accuracy: 0.8573, prior_entropy: 0.9939, recall: 0.8573, relative_absolute_error: 0.3674, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.6691, scimark_benchmark: 1362.9924, usercpu_time_millis: 460, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.8891, kappa: 0.776, kb_relative_information_score: 5177.4655, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.4958, number_of_instances: 10000, precision: 0.8897, predictive_accuracy: 0.8894, prior_entropy: 0.9939, recall: 0.8894, relative_absolute_error: 0.5326, root_mean_prior_squared_error: 0.4979, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.6293, scimark_benchmark: 1362.1309, usercpu_time_millis: 400, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 370,

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