OpenML
Supervised Classification on fri_c3_500_25

Supervised Classification on fri_c3_500_25

Task 3759 Supervised Classification fri_c3_500_25 593 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6593, f_measure: 0.6684, kappa: 0.325, kb_relative_information_score: 167.1367, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6721, predictive_accuracy: 0.674, prior_entropy: 0.9897, recall: 0.674, relative_absolute_error: 0.6615, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.571, root_relative_squared_error: 1.1502, scimark_benchmark: 1364.991, usercpu_time_millis: 160, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8201, kappa: 0.6351, kb_relative_information_score: 278.8548, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8202, predictive_accuracy: 0.82, prior_entropy: 0.9897, recall: 0.82, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7109, scimark_benchmark: 1260.1387, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.8338, kappa: 0.6623, kb_relative_information_score: 301.5254, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8337, predictive_accuracy: 0.834, prior_entropy: 0.9897, recall: 0.834, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.364, root_relative_squared_error: 0.7333, scimark_benchmark: 1337.797, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8615, kappa: 0.7182, kb_relative_information_score: 231.2526, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8621, predictive_accuracy: 0.862, prior_entropy: 0.9897, recall: 0.862, relative_absolute_error: 0.5847, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.6815, scimark_benchmark: 1357.7543, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8615, kappa: 0.7182, kb_relative_information_score: 231.2526, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8621, predictive_accuracy: 0.862, prior_entropy: 0.9897, recall: 0.862, relative_absolute_error: 0.5847, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.6815, scimark_benchmark: 1347.993, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8201, kappa: 0.6351, kb_relative_information_score: 278.8548, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8202, predictive_accuracy: 0.82, prior_entropy: 0.9897, recall: 0.82, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7109, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8201, kappa: 0.6351, kb_relative_information_score: 278.8548, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8202, predictive_accuracy: 0.82, prior_entropy: 0.9897, recall: 0.82, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7109, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8615, kappa: 0.7182, kb_relative_information_score: 231.2526, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8621, predictive_accuracy: 0.862, prior_entropy: 0.9897, recall: 0.862, relative_absolute_error: 0.5847, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.6815, scimark_benchmark: 942.9708, usercpu_time_millis: 220, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7064, f_measure: 0.6537, kappa: 0.2951, kb_relative_information_score: 103.2404, mean_absolute_error: 0.3981, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6536, predictive_accuracy: 0.656, prior_entropy: 0.9897, recall: 0.656, relative_absolute_error: 0.8079, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9553, scimark_benchmark: 1341.5795, usercpu_time_millis: 2320, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8201, kappa: 0.6351, kb_relative_information_score: 278.8548, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8202, predictive_accuracy: 0.82, prior_entropy: 0.9897, recall: 0.82, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7109, scimark_benchmark: 1341.5795, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.8101, kappa: 0.615, kb_relative_information_score: 274.7125, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8103, predictive_accuracy: 0.81, prior_entropy: 0.9897, recall: 0.81, relative_absolute_error: 0.4669, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3576, root_relative_squared_error: 0.7204, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.8681, kappa: 0.7327, kb_relative_information_score: 288.4398, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8684, predictive_accuracy: 0.868, prior_entropy: 0.9897, recall: 0.868, relative_absolute_error: 0.4568, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.313, root_relative_squared_error: 0.6306, scimark_benchmark: 918.0213, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.8338, kappa: 0.6623, kb_relative_information_score: 301.5254, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8337, predictive_accuracy: 0.834, prior_entropy: 0.9897, recall: 0.834, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.364, root_relative_squared_error: 0.7333, scimark_benchmark: 1341.5795, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8263, kappa: 0.6481, kb_relative_information_score: 277.872, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8268, predictive_accuracy: 0.826, prior_entropy: 0.9897, recall: 0.826, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.363, root_relative_squared_error: 0.7312, scimark_benchmark: 1261.7298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.8101, kappa: 0.615, kb_relative_information_score: 274.7125, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8103, predictive_accuracy: 0.81, prior_entropy: 0.9897, recall: 0.81, relative_absolute_error: 0.4669, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3576, root_relative_squared_error: 0.7204, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8201, kappa: 0.6351, kb_relative_information_score: 278.8548, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8202, predictive_accuracy: 0.82, prior_entropy: 0.9897, recall: 0.82, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7109, scimark_benchmark: 1312.2688, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8263, kappa: 0.6481, kb_relative_information_score: 277.872, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8268, predictive_accuracy: 0.826, prior_entropy: 0.9897, recall: 0.826, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.363, root_relative_squared_error: 0.7312, scimark_benchmark: 1335.2029, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8263, kappa: 0.6481, kb_relative_information_score: 277.872, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8268, predictive_accuracy: 0.826, prior_entropy: 0.9897, recall: 0.826, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.363, root_relative_squared_error: 0.7312, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8201, kappa: 0.6351, kb_relative_information_score: 278.8548, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8202, predictive_accuracy: 0.82, prior_entropy: 0.9897, recall: 0.82, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7109, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8263, kappa: 0.6481, kb_relative_information_score: 277.872, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8268, predictive_accuracy: 0.826, prior_entropy: 0.9897, recall: 0.826, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.363, root_relative_squared_error: 0.7312, scimark_benchmark: 1342.6911, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.8603, kappa: 0.7173, kb_relative_information_score: 303.8707, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8613, predictive_accuracy: 0.86, prior_entropy: 0.9897, recall: 0.86, relative_absolute_error: 0.4169, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3226, root_relative_squared_error: 0.6498, scimark_benchmark: 1350.073, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.8681, kappa: 0.7327, kb_relative_information_score: 288.4398, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8684, predictive_accuracy: 0.868, prior_entropy: 0.9897, recall: 0.868, relative_absolute_error: 0.4568, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.313, root_relative_squared_error: 0.6306, scimark_benchmark: 1322.7383, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8615, kappa: 0.7182, kb_relative_information_score: 231.2526, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8621, predictive_accuracy: 0.862, prior_entropy: 0.9897, recall: 0.862, relative_absolute_error: 0.5847, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.6815, scimark_benchmark: 1311.9814, usercpu_time_millis: 220, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.8101, kappa: 0.615, kb_relative_information_score: 274.7125, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8103, predictive_accuracy: 0.81, prior_entropy: 0.9897, recall: 0.81, relative_absolute_error: 0.4669, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3576, root_relative_squared_error: 0.7204, scimark_benchmark: 1342.6911, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8201, kappa: 0.6351, kb_relative_information_score: 278.8548, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8202, predictive_accuracy: 0.82, prior_entropy: 0.9897, recall: 0.82, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7109, scimark_benchmark: 1342.6911, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8201, kappa: 0.6351, kb_relative_information_score: 278.8548, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8202, predictive_accuracy: 0.82, prior_entropy: 0.9897, recall: 0.82, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7109, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.8681, kappa: 0.7327, kb_relative_information_score: 288.4398, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8684, predictive_accuracy: 0.868, prior_entropy: 0.9897, recall: 0.868, relative_absolute_error: 0.4568, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.313, root_relative_squared_error: 0.6306, scimark_benchmark: 1312.0581, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8201, kappa: 0.6351, kb_relative_information_score: 278.8548, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8202, predictive_accuracy: 0.82, prior_entropy: 0.9897, recall: 0.82, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7109, scimark_benchmark: 1354.7191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8615, kappa: 0.7182, kb_relative_information_score: 231.2526, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8621, predictive_accuracy: 0.862, prior_entropy: 0.9897, recall: 0.862, relative_absolute_error: 0.5847, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.6815, scimark_benchmark: 1312.0581, usercpu_time_millis: 200, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7201, f_measure: 0.6738, kappa: 0.3375, kb_relative_information_score: 165.6512, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6735, predictive_accuracy: 0.674, prior_entropy: 0.9897, recall: 0.674, relative_absolute_error: 0.6655, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5478, root_relative_squared_error: 1.1036, scimark_benchmark: 1064.8317, usercpu_time_millis: 16380, usercpu_time_millis_testing: 16380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8539, kappa: 0.7033, kb_relative_information_score: 243.5339, mean_absolute_error: 0.2722, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8538, predictive_accuracy: 0.854, prior_entropy: 0.9897, recall: 0.854, relative_absolute_error: 0.5522, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.6936, scimark_benchmark: 1337.5749, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.8603, kappa: 0.7173, kb_relative_information_score: 303.8707, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8613, predictive_accuracy: 0.86, prior_entropy: 0.9897, recall: 0.86, relative_absolute_error: 0.4169, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3226, root_relative_squared_error: 0.6498, scimark_benchmark: 1227.9507, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8263, kappa: 0.6481, kb_relative_information_score: 277.872, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8268, predictive_accuracy: 0.826, prior_entropy: 0.9897, recall: 0.826, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.363, root_relative_squared_error: 0.7312, scimark_benchmark: 922.1419, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8539, kappa: 0.7033, kb_relative_information_score: 243.5339, mean_absolute_error: 0.2722, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8538, predictive_accuracy: 0.854, prior_entropy: 0.9897, recall: 0.854, relative_absolute_error: 0.5522, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.6936, scimark_benchmark: 1343.2125, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.8603, kappa: 0.7173, kb_relative_information_score: 303.8707, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8613, predictive_accuracy: 0.86, prior_entropy: 0.9897, recall: 0.86, relative_absolute_error: 0.4169, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3226, root_relative_squared_error: 0.6498, scimark_benchmark: 906.4475, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8759, kappa: 0.7479, kb_relative_information_score: 358.9277, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8759, predictive_accuracy: 0.876, prior_entropy: 0.9897, recall: 0.876, relative_absolute_error: 0.2825, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.6661, scimark_benchmark: 1337.8643, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8702, kappa: 0.7374, kb_relative_information_score: 327.8604, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.871, predictive_accuracy: 0.87, prior_entropy: 0.9897, recall: 0.87, relative_absolute_error: 0.3606, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.6542, scimark_benchmark: 1064.8317, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8028, f_measure: 0.8004, kappa: 0.5961, kb_relative_information_score: 287.4533, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8014, predictive_accuracy: 0.8, prior_entropy: 0.9897, recall: 0.8, relative_absolute_error: 0.4282, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4208, root_relative_squared_error: 0.8477, scimark_benchmark: 1360.2771, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.8322, kappa: 0.6601, kb_relative_information_score: 291.9153, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8327, predictive_accuracy: 0.832, prior_entropy: 0.9897, recall: 0.832, relative_absolute_error: 0.4384, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7545, scimark_benchmark: 1340.4336, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8696, kappa: 0.7348, kb_relative_information_score: 191.8303, mean_absolute_error: 0.3314, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.87, predictive_accuracy: 0.87, prior_entropy: 0.9897, recall: 0.87, relative_absolute_error: 0.6725, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.7284, scimark_benchmark: 1329.8902, usercpu_time_millis: 340, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 320,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.8555, kappa: 0.7061, kb_relative_information_score: 323.8607, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.856, predictive_accuracy: 0.856, prior_entropy: 0.9897, recall: 0.856, relative_absolute_error: 0.3697, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3047, root_relative_squared_error: 0.6138, scimark_benchmark: 1329.8902, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5204, f_measure: 0.4092, kappa: 0.0278, kb_relative_information_score: -9.9979, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.5378, predictive_accuracy: 0.474, prior_entropy: 0.9897, recall: 0.474, relative_absolute_error: 1.013, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0058, scimark_benchmark: 916.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, f_measure: 0.6609, kappa: 0.3147, kb_relative_information_score: 152.8437, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6628, predictive_accuracy: 0.66, prior_entropy: 0.9897, recall: 0.66, relative_absolute_error: 0.6899, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.1747, scimark_benchmark: 912.7324, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.655, f_measure: 0.6203, kappa: 0.2273, kb_relative_information_score: 79.963, mean_absolute_error: 0.4196, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6196, predictive_accuracy: 0.622, prior_entropy: 0.9897, recall: 0.622, relative_absolute_error: 0.8513, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0012, scimark_benchmark: 934.1747, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8539, kappa: 0.7033, kb_relative_information_score: 243.5339, mean_absolute_error: 0.2722, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8538, predictive_accuracy: 0.854, prior_entropy: 0.9897, recall: 0.854, relative_absolute_error: 0.5522, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.6936, scimark_benchmark: 1299.5783, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.8637, kappa: 0.7229, kb_relative_information_score: 203.4146, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8638, predictive_accuracy: 0.864, prior_entropy: 0.9897, recall: 0.864, relative_absolute_error: 0.6488, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7134, scimark_benchmark: 860.584, usercpu_time_millis: 800, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.8559, kappa: 0.7072, kb_relative_information_score: 204.4435, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8558, predictive_accuracy: 0.856, prior_entropy: 0.9897, recall: 0.856, relative_absolute_error: 0.6432, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3586, root_relative_squared_error: 0.7224, scimark_benchmark: 1363.454, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.8679, kappa: 0.7319, kb_relative_information_score: 348.5766, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8679, predictive_accuracy: 0.868, prior_entropy: 0.9897, recall: 0.868, relative_absolute_error: 0.3127, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.6018, scimark_benchmark: 1336.2976, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.8577, kappa: 0.7109, kb_relative_information_score: 293.7573, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8578, predictive_accuracy: 0.858, prior_entropy: 0.9897, recall: 0.858, relative_absolute_error: 0.4379, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.6495, scimark_benchmark: 925.4974, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.8322, kappa: 0.6601, kb_relative_information_score: 249.7498, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8327, predictive_accuracy: 0.832, prior_entropy: 0.9897, recall: 0.832, relative_absolute_error: 0.5343, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3474, root_relative_squared_error: 0.6998, scimark_benchmark: 869.6028, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.876, kappa: 0.7484, kb_relative_information_score: 294.6196, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.876, predictive_accuracy: 0.876, prior_entropy: 0.9897, recall: 0.876, relative_absolute_error: 0.4478, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.6066, scimark_benchmark: 938.9967, usercpu_time_millis: 470, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.8721, kappa: 0.7405, kb_relative_information_score: 294.9299, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8721, predictive_accuracy: 0.872, prior_entropy: 0.9897, recall: 0.872, relative_absolute_error: 0.4465, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.6071, scimark_benchmark: 1339.3974, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.8681, kappa: 0.7327, kb_relative_information_score: 288.4398, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8684, predictive_accuracy: 0.868, prior_entropy: 0.9897, recall: 0.868, relative_absolute_error: 0.4568, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.313, root_relative_squared_error: 0.6306, scimark_benchmark: 912.7324, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.8819, kappa: 0.7602, kb_relative_information_score: 350.7303, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8819, predictive_accuracy: 0.882, prior_entropy: 0.9897, recall: 0.882, relative_absolute_error: 0.3147, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.67, scimark_benchmark: 901.1296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.89, kappa: 0.7767, kb_relative_information_score: 368.6107, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.89, predictive_accuracy: 0.89, prior_entropy: 0.9897, recall: 0.89, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2798, root_relative_squared_error: 0.5637, scimark_benchmark: 1280.6952, usercpu_time_millis: 770, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.864, kappa: 0.724, kb_relative_information_score: 338.4288, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.864, predictive_accuracy: 0.864, prior_entropy: 0.9897, recall: 0.864, relative_absolute_error: 0.339, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.295, root_relative_squared_error: 0.5942, scimark_benchmark: 908.2231, usercpu_time_millis: 380, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.8583, kappa: 0.7131, kb_relative_information_score: 313.0354, mean_absolute_error: 0.1952, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8591, predictive_accuracy: 0.858, prior_entropy: 0.9897, recall: 0.858, relative_absolute_error: 0.396, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.6244, scimark_benchmark: 918.0213, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.8562, kappa: 0.7089, kb_relative_information_score: 282.8473, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8569, predictive_accuracy: 0.856, prior_entropy: 0.9897, recall: 0.856, relative_absolute_error: 0.467, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.6453, scimark_benchmark: 939.5088, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.819, kappa: 0.6315, kb_relative_information_score: 221.5587, mean_absolute_error: 0.2917, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8201, predictive_accuracy: 0.82, prior_entropy: 0.9897, recall: 0.82, relative_absolute_error: 0.5918, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.7437, scimark_benchmark: 1304.6687, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6189, kappa: 0.2251, kb_relative_information_score: 78.7511, mean_absolute_error: 0.4193, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6183, predictive_accuracy: 0.62, prior_entropy: 0.9897, recall: 0.62, relative_absolute_error: 0.8507, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4879, root_relative_squared_error: 0.9829, scimark_benchmark: 1321.9426, usercpu_time_millis: 90, usercpu_time_millis_testing: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6302, f_measure: 0.5989, kappa: 0.1843, kb_relative_information_score: 76.7171, mean_absolute_error: 0.4168, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.5982, predictive_accuracy: 0.6, prior_entropy: 0.9897, recall: 0.6, relative_absolute_error: 0.8457, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5233, root_relative_squared_error: 1.0541, scimark_benchmark: 1363.454, usercpu_time_millis: 100, usercpu_time_millis_testing: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5101, f_measure: 0.4265, kappa: 0.0224, kb_relative_information_score: 58.9187, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6464, predictive_accuracy: 0.568, prior_entropy: 0.9897, recall: 0.568, relative_absolute_error: 0.8766, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6573, root_relative_squared_error: 1.3241, scimark_benchmark: 889.3151, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: 50.7513, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.9897, recall: 0.56, relative_absolute_error: 0.8928, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3363, scimark_benchmark: 1333.5799, usercpu_time_millis: 210, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6119, f_measure: 0.6209, kappa: 0.2286, kb_relative_information_score: 120.1742, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6237, predictive_accuracy: 0.628, prior_entropy: 0.9897, recall: 0.628, relative_absolute_error: 0.7548, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6099, root_relative_squared_error: 1.2287, scimark_benchmark: 1337.7959, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7077, f_measure: 0.6352, kappa: 0.2572, kb_relative_information_score: 73.2191, mean_absolute_error: 0.4298, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6365, predictive_accuracy: 0.64, prior_entropy: 0.9897, recall: 0.64, relative_absolute_error: 0.8721, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9335, scimark_benchmark: 1386.5717, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6209, f_measure: 0.6283, kappa: 0.2437, kb_relative_information_score: 122.216, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6277, predictive_accuracy: 0.63, prior_entropy: 0.9897, recall: 0.63, relative_absolute_error: 0.7508, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.2254, scimark_benchmark: 935.5075, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7064, f_measure: 0.6537, kappa: 0.2951, kb_relative_information_score: 103.2404, mean_absolute_error: 0.3981, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6536, predictive_accuracy: 0.656, prior_entropy: 0.9897, recall: 0.656, relative_absolute_error: 0.8079, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9553, scimark_benchmark: 944.5495, usercpu_time_millis: 3950, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 3890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6593, f_measure: 0.6684, kappa: 0.325, kb_relative_information_score: 167.1367, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6721, predictive_accuracy: 0.674, prior_entropy: 0.9897, recall: 0.674, relative_absolute_error: 0.6615, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.571, root_relative_squared_error: 1.1502, scimark_benchmark: 934.0566, usercpu_time_millis: 170, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 90,

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