Task
Supervised Classification on analcatdata_germangss

Supervised Classification on analcatdata_germangss

Task 4592 Supervised Classification analcatdata_germangss 202 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.9, kappa: 0.7153, kb_relative_information_score: 2385.0417, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9009, predictive_accuracy: 0.8993, prior_entropy: 0.7716, recall: 0.8993, relative_absolute_error: 0.3864, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.6696, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.8913, kappa: 0.6833, kb_relative_information_score: 1705.1001, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8905, predictive_accuracy: 0.8933, prior_entropy: 0.7716, recall: 0.8933, relative_absolute_error: 0.585, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.6696, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.8946, kappa: 0.6926, kb_relative_information_score: 1990.7759, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8938, predictive_accuracy: 0.8965, prior_entropy: 0.7716, recall: 0.8965, relative_absolute_error: 0.5011, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.6547, scimark_benchmark: 934.3687, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.8897, kappa: 0.672, kb_relative_information_score: 2616.0368, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8916, predictive_accuracy: 0.8948, prior_entropy: 0.7716, recall: 0.8948, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.7769, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.8905, kappa: 0.6722, kb_relative_information_score: 2034.6915, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8945, predictive_accuracy: 0.8965, prior_entropy: 0.7716, recall: 0.8965, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.6611, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.8978, kappa: 0.6957, kb_relative_information_score: 2203.22, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9003, predictive_accuracy: 0.9025, prior_entropy: 0.7716, recall: 0.9025, relative_absolute_error: 0.4585, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.6235, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.8978, kappa: 0.6957, kb_relative_information_score: 2203.22, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9003, predictive_accuracy: 0.9025, prior_entropy: 0.7716, recall: 0.9025, relative_absolute_error: 0.4585, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.6235, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.8948, kappa: 0.6936, kb_relative_information_score: 2231.6043, mean_absolute_error: 0.1508, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.894, predictive_accuracy: 0.8965, prior_entropy: 0.7716, recall: 0.8965, relative_absolute_error: 0.4313, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2782, root_relative_squared_error: 0.6661, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9171, kappa: 0.7592, kb_relative_information_score: 2597.0914, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9167, predictive_accuracy: 0.9183, prior_entropy: 0.7716, recall: 0.9183, relative_absolute_error: 0.3458, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2361, root_relative_squared_error: 0.5655, scimark_benchmark: 904.0772, usercpu_time_millis: 700, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.8914, kappa: 0.6842, kb_relative_information_score: 2213.7345, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8905, predictive_accuracy: 0.893, prior_entropy: 0.7716, recall: 0.893, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.6578, scimark_benchmark: 944.1067, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.8897, kappa: 0.672, kb_relative_information_score: 2616.0368, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8916, predictive_accuracy: 0.8948, prior_entropy: 0.7716, recall: 0.8948, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.7769, scimark_benchmark: 941.3847, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.8897, kappa: 0.672, kb_relative_information_score: 2616.0368, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8916, predictive_accuracy: 0.8948, prior_entropy: 0.7716, recall: 0.8948, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.7769, scimark_benchmark: 937.5117, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.9157, kappa: 0.7554, kb_relative_information_score: 2378.9463, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9152, predictive_accuracy: 0.9168, prior_entropy: 0.7716, recall: 0.9168, relative_absolute_error: 0.4019, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.595, scimark_benchmark: 947.1781, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.9, kappa: 0.7153, kb_relative_information_score: 2385.0417, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9009, predictive_accuracy: 0.8993, prior_entropy: 0.7716, recall: 0.8993, relative_absolute_error: 0.3864, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.6696, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.8913, kappa: 0.6833, kb_relative_information_score: 1705.1001, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8905, predictive_accuracy: 0.8933, prior_entropy: 0.7716, recall: 0.8933, relative_absolute_error: 0.585, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.6696, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.8946, kappa: 0.6926, kb_relative_information_score: 1990.7759, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8938, predictive_accuracy: 0.8965, prior_entropy: 0.7716, recall: 0.8965, relative_absolute_error: 0.5011, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.6547, scimark_benchmark: 938.1282, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.8897, kappa: 0.672, kb_relative_information_score: 2616.0368, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8916, predictive_accuracy: 0.8948, prior_entropy: 0.7716, recall: 0.8948, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.7769, scimark_benchmark: 908.9569, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.8978, kappa: 0.6957, kb_relative_information_score: 2203.22, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9003, predictive_accuracy: 0.9025, prior_entropy: 0.7716, recall: 0.9025, relative_absolute_error: 0.4585, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.6235, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.8978, kappa: 0.6957, kb_relative_information_score: 2203.22, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9003, predictive_accuracy: 0.9025, prior_entropy: 0.7716, recall: 0.9025, relative_absolute_error: 0.4585, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.6235, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.8948, kappa: 0.6936, kb_relative_information_score: 2231.6043, mean_absolute_error: 0.1508, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.894, predictive_accuracy: 0.8965, prior_entropy: 0.7716, recall: 0.8965, relative_absolute_error: 0.4313, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2782, root_relative_squared_error: 0.6661, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9171, kappa: 0.7592, kb_relative_information_score: 2597.0914, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9167, predictive_accuracy: 0.9183, prior_entropy: 0.7716, recall: 0.9183, relative_absolute_error: 0.3458, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2361, root_relative_squared_error: 0.5655, scimark_benchmark: 934.695, usercpu_time_millis: 1030, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.8978, kappa: 0.6957, kb_relative_information_score: 2203.22, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9003, predictive_accuracy: 0.9025, prior_entropy: 0.7716, recall: 0.9025, relative_absolute_error: 0.4585, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.6235, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.8914, kappa: 0.6842, kb_relative_information_score: 2213.7345, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8905, predictive_accuracy: 0.893, prior_entropy: 0.7716, recall: 0.893, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.6578, scimark_benchmark: 936.2574, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.9157, kappa: 0.7554, kb_relative_information_score: 2378.9463, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9152, predictive_accuracy: 0.9168, prior_entropy: 0.7716, recall: 0.9168, relative_absolute_error: 0.4019, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.595, scimark_benchmark: 945.6228, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9244, kappa: 0.7817, kb_relative_information_score: 2531.906, mean_absolute_error: 0.1293, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9241, predictive_accuracy: 0.925, prior_entropy: 0.7716, recall: 0.925, relative_absolute_error: 0.37, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.237, root_relative_squared_error: 0.5676, scimark_benchmark: 1051.249, usercpu_time_millis: 3060, usercpu_time_millis_testing: 1330, usercpu_time_millis_training: 1730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.925, kappa: 0.7833, kb_relative_information_score: 2518.6157, mean_absolute_error: 0.1305, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9246, predictive_accuracy: 0.9255, prior_entropy: 0.7716, recall: 0.9255, relative_absolute_error: 0.3733, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2385, root_relative_squared_error: 0.5712, scimark_benchmark: 904.5548, usercpu_time_millis: 740, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9254, kappa: 0.785, kb_relative_information_score: 2523.8558, mean_absolute_error: 0.1299, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9251, predictive_accuracy: 0.9258, prior_entropy: 0.7716, recall: 0.9258, relative_absolute_error: 0.3718, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.5713, scimark_benchmark: 919.2625, usercpu_time_millis: 380, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.9236, kappa: 0.7794, kb_relative_information_score: 2523.265, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9233, predictive_accuracy: 0.9243, prior_entropy: 0.7716, recall: 0.9243, relative_absolute_error: 0.3691, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2406, root_relative_squared_error: 0.5763, scimark_benchmark: 938.3401, usercpu_time_millis: 200, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.9219, kappa: 0.7738, kb_relative_information_score: 2506.3599, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9215, predictive_accuracy: 0.9228, prior_entropy: 0.7716, recall: 0.9228, relative_absolute_error: 0.3729, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2436, root_relative_squared_error: 0.5833, scimark_benchmark: 897.0978, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.8962, kappa: 0.6978, kb_relative_information_score: 2455.8606, mean_absolute_error: 0.1295, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8955, predictive_accuracy: 0.898, prior_entropy: 0.7716, recall: 0.898, relative_absolute_error: 0.3705, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2603, root_relative_squared_error: 0.6234, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.8962, kappa: 0.6978, kb_relative_information_score: 2455.8606, mean_absolute_error: 0.1295, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8955, predictive_accuracy: 0.898, prior_entropy: 0.7716, recall: 0.898, relative_absolute_error: 0.3705, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2603, root_relative_squared_error: 0.6234, scimark_benchmark: 930.0565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.8962, kappa: 0.6978, kb_relative_information_score: 2455.8606, mean_absolute_error: 0.1295, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8955, predictive_accuracy: 0.898, prior_entropy: 0.7716, recall: 0.898, relative_absolute_error: 0.3705, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2603, root_relative_squared_error: 0.6234, scimark_benchmark: 936.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.8966, kappa: 0.6989, kb_relative_information_score: 2446.6222, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8958, predictive_accuracy: 0.8983, prior_entropy: 0.7716, recall: 0.8983, relative_absolute_error: 0.3729, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2607, root_relative_squared_error: 0.6244, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.8879, kappa: 0.6723, kb_relative_information_score: 2272.8888, mean_absolute_error: 0.1438, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.887, predictive_accuracy: 0.8903, prior_entropy: 0.7716, recall: 0.8903, relative_absolute_error: 0.4116, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.271, root_relative_squared_error: 0.6489, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6768, kb_relative_information_score: -2.74, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.6006, predictive_accuracy: 0.775, prior_entropy: 0.7716, recall: 0.775, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.4176, root_relative_squared_error: 1, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.8943, kappa: 0.687, kb_relative_information_score: 2633.4067, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8954, predictive_accuracy: 0.8985, prior_entropy: 0.7716, recall: 0.8985, relative_absolute_error: 0.3034, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.687, scimark_benchmark: 941.9549, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.8873, kappa: 0.6635, kb_relative_information_score: 2521.2596, mean_absolute_error: 0.1165, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.89, predictive_accuracy: 0.893, prior_entropy: 0.7716, recall: 0.893, relative_absolute_error: 0.3332, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2939, root_relative_squared_error: 0.7038, scimark_benchmark: 941.9549, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.8597, kappa: 0.5779, kb_relative_information_score: 2185.3155, mean_absolute_error: 0.1421, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8631, predictive_accuracy: 0.8688, prior_entropy: 0.7716, recall: 0.8688, relative_absolute_error: 0.4064, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.7832, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.8117, kappa: 0.4193, kb_relative_information_score: 1831.787, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8282, predictive_accuracy: 0.8353, prior_entropy: 0.7716, recall: 0.8353, relative_absolute_error: 0.4879, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.848, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.8978, kappa: 0.6957, kb_relative_information_score: 2203.22, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9003, predictive_accuracy: 0.9025, prior_entropy: 0.7716, recall: 0.9025, relative_absolute_error: 0.4585, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.6235, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.8897, kappa: 0.672, kb_relative_information_score: 2616.0368, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8916, predictive_accuracy: 0.8948, prior_entropy: 0.7716, recall: 0.8948, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.7769, scimark_benchmark: 1334.863, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.8905, kappa: 0.6722, kb_relative_information_score: 2034.6915, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8945, predictive_accuracy: 0.8965, prior_entropy: 0.7716, recall: 0.8965, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.6611, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.8978, kappa: 0.6957, kb_relative_information_score: 2203.22, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9003, predictive_accuracy: 0.9025, prior_entropy: 0.7716, recall: 0.9025, relative_absolute_error: 0.4585, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.6235, scimark_benchmark: 1326.2019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.8978, kappa: 0.6957, kb_relative_information_score: 2203.22, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9003, predictive_accuracy: 0.9025, prior_entropy: 0.7716, recall: 0.9025, relative_absolute_error: 0.4585, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.6235, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.8978, kappa: 0.6957, kb_relative_information_score: 2203.22, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9003, predictive_accuracy: 0.9025, prior_entropy: 0.7716, recall: 0.9025, relative_absolute_error: 0.4585, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.6235, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.8978, kappa: 0.6957, kb_relative_information_score: 2203.22, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9003, predictive_accuracy: 0.9025, prior_entropy: 0.7716, recall: 0.9025, relative_absolute_error: 0.4585, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.6235, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.8978, kappa: 0.6957, kb_relative_information_score: 2203.22, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9003, predictive_accuracy: 0.9025, prior_entropy: 0.7716, recall: 0.9025, relative_absolute_error: 0.4585, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.6235, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.8914, kappa: 0.6842, kb_relative_information_score: 2213.7345, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8905, predictive_accuracy: 0.893, prior_entropy: 0.7716, recall: 0.893, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.6578, scimark_benchmark: 1320.8283, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.9157, kappa: 0.7554, kb_relative_information_score: 2378.9463, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9152, predictive_accuracy: 0.9168, prior_entropy: 0.7716, recall: 0.9168, relative_absolute_error: 0.4019, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.595, scimark_benchmark: 1342.2845, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.8946, kappa: 0.6926, kb_relative_information_score: 1990.7759, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8938, predictive_accuracy: 0.8965, prior_entropy: 0.7716, recall: 0.8965, relative_absolute_error: 0.5011, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.6547, scimark_benchmark: 1299.3719, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.8978, kappa: 0.6957, kb_relative_information_score: 2203.22, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9003, predictive_accuracy: 0.9025, prior_entropy: 0.7716, recall: 0.9025, relative_absolute_error: 0.4585, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.6235, scimark_benchmark: 1325.3966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.8978, kappa: 0.6957, kb_relative_information_score: 2203.22, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9003, predictive_accuracy: 0.9025, prior_entropy: 0.7716, recall: 0.9025, relative_absolute_error: 0.4585, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.6235, scimark_benchmark: 1371.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.8948, kappa: 0.6936, kb_relative_information_score: 2231.6043, mean_absolute_error: 0.1508, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.894, predictive_accuracy: 0.8965, prior_entropy: 0.7716, recall: 0.8965, relative_absolute_error: 0.4313, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2782, root_relative_squared_error: 0.6661, scimark_benchmark: 1331.0047, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.9, kappa: 0.7153, kb_relative_information_score: 2385.0417, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9009, predictive_accuracy: 0.8993, prior_entropy: 0.7716, recall: 0.8993, relative_absolute_error: 0.3864, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.6696, scimark_benchmark: 1347.1763, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.8913, kappa: 0.6833, kb_relative_information_score: 1705.1001, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8905, predictive_accuracy: 0.8933, prior_entropy: 0.7716, recall: 0.8933, relative_absolute_error: 0.585, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.6696, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.8897, kappa: 0.672, kb_relative_information_score: 2616.0368, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8916, predictive_accuracy: 0.8948, prior_entropy: 0.7716, recall: 0.8948, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.7769, scimark_benchmark: 1299.3719, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.8914, kappa: 0.6842, kb_relative_information_score: 2213.7345, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8905, predictive_accuracy: 0.893, prior_entropy: 0.7716, recall: 0.893, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.6578, scimark_benchmark: 1337.1928, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.8897, kappa: 0.672, kb_relative_information_score: 2616.0368, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8916, predictive_accuracy: 0.8948, prior_entropy: 0.7716, recall: 0.8948, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.7769, scimark_benchmark: 1324.6608, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.8905, kappa: 0.6722, kb_relative_information_score: 2034.6915, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8945, predictive_accuracy: 0.8965, prior_entropy: 0.7716, recall: 0.8965, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.6611, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.8914, kappa: 0.6842, kb_relative_information_score: 2213.7345, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.8905, predictive_accuracy: 0.893, prior_entropy: 0.7716, recall: 0.893, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.6578, scimark_benchmark: 1344.4042, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.8978, kappa: 0.6957, kb_relative_information_score: 2203.22, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9003, predictive_accuracy: 0.9025, prior_entropy: 0.7716, recall: 0.9025, relative_absolute_error: 0.4585, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.6235, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.8978, kappa: 0.6957, kb_relative_information_score: 2203.22, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.3495, number_of_instances: 4000, precision: 0.9003, predictive_accuracy: 0.9025, prior_entropy: 0.7716, recall: 0.9025, relative_absolute_error: 0.4585, root_mean_prior_squared_error: 0.4176, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.6235, scimark_benchmark: 1341.5795,

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