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Supervised Classification on fri_c0_1000_5

Supervised Classification on fri_c0_1000_5

Task 3664 Supervised Classification fri_c0_1000_5 436 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: 0.9034, f_measure: 0.8106, kappa: 0.6222, kb_relative_information_score: 604.022, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8144, predictive_accuracy: 0.811, prior_entropy: 1, recall: 0.811, relative_absolute_error: 0.4016, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.7629, scimark_benchmark: 935.6052, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, f_measure: 0.759, kappa: 0.5309, kb_relative_information_score: 495.3836, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.796, predictive_accuracy: 0.765, prior_entropy: 1, recall: 0.765, relative_absolute_error: 0.5146, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.8917, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3367, kb_relative_information_score: 5.9485, mean_absolute_error: 0.497, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.253, predictive_accuracy: 0.503, prior_entropy: 1, recall: 0.503, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.705, root_relative_squared_error: 1.41, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.835, kappa: 0.6699, kb_relative_information_score: 620.2794, mean_absolute_error: 0.1968, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8351, predictive_accuracy: 0.835, prior_entropy: 1, recall: 0.835, relative_absolute_error: 0.3937, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.773, scimark_benchmark: 942.6192, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.851, kappa: 0.702, kb_relative_information_score: 282.6602, mean_absolute_error: 0.385, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8512, predictive_accuracy: 0.851, prior_entropy: 1, recall: 0.851, relative_absolute_error: 0.77, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.7968, scimark_benchmark: 924.4107, usercpu_time_millis: 960, usercpu_time_millis_training: 960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.7535, kappa: 0.5083, kb_relative_information_score: 187.0553, mean_absolute_error: 0.4245, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.7563, predictive_accuracy: 0.754, prior_entropy: 1, recall: 0.754, relative_absolute_error: 0.8489, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.8756, scimark_benchmark: 933.0918, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 557.0167, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8401, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.474, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7163, scimark_benchmark: 899.1108, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.82, kappa: 0.6401, kb_relative_information_score: 440.9473, mean_absolute_error: 0.2997, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8205, predictive_accuracy: 0.82, prior_entropy: 1, recall: 0.82, relative_absolute_error: 0.5994, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7156, scimark_benchmark: 930.0565, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.821, kappa: 0.6419, kb_relative_information_score: 541.7956, mean_absolute_error: 0.2419, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8211, predictive_accuracy: 0.821, prior_entropy: 1, recall: 0.821, relative_absolute_error: 0.4839, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.342, root_relative_squared_error: 0.6841, scimark_benchmark: 906.0884, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.9, kappa: 0.8, kb_relative_information_score: 799.9896, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.9003, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6325, scimark_benchmark: 946.8777, usercpu_time_millis: 120, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.845, kappa: 0.69, kb_relative_information_score: 520.9948, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 1, recall: 0.845, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.6731, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.845, kappa: 0.69, kb_relative_information_score: 520.9948, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 1, recall: 0.845, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.6731, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.845, kappa: 0.69, kb_relative_information_score: 520.9948, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 1, recall: 0.845, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.6731, scimark_benchmark: 938.838, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.845, kappa: 0.69, kb_relative_information_score: 520.9948, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 1, recall: 0.845, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.6731, scimark_benchmark: 938.838, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.852, kappa: 0.7039, kb_relative_information_score: 576.0371, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8522, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.4541, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.639, scimark_benchmark: 935.627, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.884, kappa: 0.768, kb_relative_information_score: 638.3019, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.884, predictive_accuracy: 0.884, prior_entropy: 1, recall: 0.884, relative_absolute_error: 0.3906, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.5895, scimark_benchmark: 952.4682, usercpu_time_millis: 11710, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 11620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.845, kappa: 0.69, kb_relative_information_score: 520.9948, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 1, recall: 0.845, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.6731, scimark_benchmark: 879.4299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.8339, kappa: 0.6679, kb_relative_information_score: 497.8284, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8343, predictive_accuracy: 0.834, prior_entropy: 1, recall: 0.834, relative_absolute_error: 0.5357, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.7104, scimark_benchmark: 928.8135, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.8789, kappa: 0.7579, kb_relative_information_score: 642.5312, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8796, predictive_accuracy: 0.879, prior_entropy: 1, recall: 0.879, relative_absolute_error: 0.3835, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.291, root_relative_squared_error: 0.5821, scimark_benchmark: 942.3809, usercpu_time_millis: 300, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.84, kappa: 0.68, kb_relative_information_score: 557.0167, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8401, predictive_accuracy: 0.84, prior_entropy: 1, recall: 0.84, relative_absolute_error: 0.474, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7163, scimark_benchmark: 946.9304, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.9, kappa: 0.8, kb_relative_information_score: 799.9896, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.9003, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6325, scimark_benchmark: 1314.9949, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.845, kappa: 0.69, kb_relative_information_score: 520.9948, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 1, recall: 0.845, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.6731, scimark_benchmark: 1332.1612, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.845, kappa: 0.69, kb_relative_information_score: 520.9948, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 1, recall: 0.845, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.6731, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.845, kappa: 0.69, kb_relative_information_score: 520.9948, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 1, recall: 0.845, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.6731, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.846, kappa: 0.692, kb_relative_information_score: 494.8126, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.846, predictive_accuracy: 0.846, prior_entropy: 1, recall: 0.846, relative_absolute_error: 0.5446, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.6798, scimark_benchmark: 1318.6467, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.845, kappa: 0.69, kb_relative_information_score: 520.9948, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 1, recall: 0.845, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.6731, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.845, kappa: 0.69, kb_relative_information_score: 520.9948, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 1, recall: 0.845, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.6731, scimark_benchmark: 1335.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.845, kappa: 0.69, kb_relative_information_score: 520.9948, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 1, recall: 0.845, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.6731, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.845, kappa: 0.69, kb_relative_information_score: 520.9948, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 1, recall: 0.845, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.6731, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.884, kappa: 0.768, kb_relative_information_score: 638.3019, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.884, predictive_accuracy: 0.884, prior_entropy: 1, recall: 0.884, relative_absolute_error: 0.3906, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.5895, scimark_benchmark: 1322.5413, usercpu_time_millis: 7990, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 7880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.845, kappa: 0.69, kb_relative_information_score: 520.9948, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 1, recall: 0.845, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.6731, scimark_benchmark: 1318.6467, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.8339, kappa: 0.6679, kb_relative_information_score: 497.8284, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8343, predictive_accuracy: 0.834, prior_entropy: 1, recall: 0.834, relative_absolute_error: 0.5357, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.7104, scimark_benchmark: 1318.6467, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.82, kappa: 0.6401, kb_relative_information_score: 440.9473, mean_absolute_error: 0.2997, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8205, predictive_accuracy: 0.82, prior_entropy: 1, recall: 0.82, relative_absolute_error: 0.5994, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7156, scimark_benchmark: 1314.9949, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.846, kappa: 0.692, kb_relative_information_score: 494.8126, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.846, predictive_accuracy: 0.846, prior_entropy: 1, recall: 0.846, relative_absolute_error: 0.5446, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.6798, scimark_benchmark: 1342.8632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.845, kappa: 0.69, kb_relative_information_score: 520.9948, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 1, recall: 0.845, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.6731, scimark_benchmark: 1342.8632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.845, kappa: 0.69, kb_relative_information_score: 520.9948, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 1, recall: 0.845, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.6731, scimark_benchmark: 1342.8632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.852, kappa: 0.7039, kb_relative_information_score: 576.0371, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8522, predictive_accuracy: 0.852, prior_entropy: 1, recall: 0.852, relative_absolute_error: 0.4541, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.639, scimark_benchmark: 1324.7884, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.845, kappa: 0.69, kb_relative_information_score: 520.9948, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 1, recall: 0.845, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.6731, scimark_benchmark: 1324.7884,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.845, kappa: 0.69, kb_relative_information_score: 520.9948, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 1, recall: 0.845, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.6731, scimark_benchmark: 1342.6744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.884, kappa: 0.768, kb_relative_information_score: 638.3019, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.884, predictive_accuracy: 0.884, prior_entropy: 1, recall: 0.884, relative_absolute_error: 0.3906, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.5895, scimark_benchmark: 1299.5896, usercpu_time_millis: 8810, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 8700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.8339, kappa: 0.6679, kb_relative_information_score: 497.8284, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8343, predictive_accuracy: 0.834, prior_entropy: 1, recall: 0.834, relative_absolute_error: 0.5357, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.7104, scimark_benchmark: 1335.2357, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.845, kappa: 0.69, kb_relative_information_score: 520.9948, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 1, recall: 0.845, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.6731, scimark_benchmark: 1359.7293, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.8339, kappa: 0.6679, kb_relative_information_score: 497.8284, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8343, predictive_accuracy: 0.834, prior_entropy: 1, recall: 0.834, relative_absolute_error: 0.5357, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.7104, scimark_benchmark: 1327.6367, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.8789, kappa: 0.7579, kb_relative_information_score: 642.5312, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8796, predictive_accuracy: 0.879, prior_entropy: 1, recall: 0.879, relative_absolute_error: 0.3835, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.291, root_relative_squared_error: 0.5821, scimark_benchmark: 1397.3209, usercpu_time_millis: 260, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.9, kappa: 0.8, kb_relative_information_score: 799.9896, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.9003, predictive_accuracy: 0.9, prior_entropy: 1, recall: 0.9, relative_absolute_error: 0.2, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6325, scimark_benchmark: 1318.2298, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.845, kappa: 0.69, kb_relative_information_score: 520.9948, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 1, recall: 0.845, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.6731, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.845, kappa: 0.69, kb_relative_information_score: 520.9948, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 1, recall: 0.845, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.6731, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.845, kappa: 0.69, kb_relative_information_score: 520.9948, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 1, recall: 0.845, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.6731, scimark_benchmark: 1325.5735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.846, kappa: 0.692, kb_relative_information_score: 494.8126, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.846, predictive_accuracy: 0.846, prior_entropy: 1, recall: 0.846, relative_absolute_error: 0.5446, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.6798, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.8789, kappa: 0.7579, kb_relative_information_score: 642.5312, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8796, predictive_accuracy: 0.879, prior_entropy: 1, recall: 0.879, relative_absolute_error: 0.3835, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.291, root_relative_squared_error: 0.5821, scimark_benchmark: 942.9708, usercpu_time_millis: 290, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.837, kappa: 0.6739, kb_relative_information_score: 623.9577, mean_absolute_error: 0.195, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8371, predictive_accuracy: 0.837, prior_entropy: 1, recall: 0.837, relative_absolute_error: 0.3901, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.7688, scimark_benchmark: 918.0213, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.865, kappa: 0.73, kb_relative_information_score: 652.8645, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.865, predictive_accuracy: 0.865, prior_entropy: 1, recall: 0.865, relative_absolute_error: 0.3658, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6301, scimark_benchmark: 1341.5795, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.845, kappa: 0.69, kb_relative_information_score: 520.9948, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 1, recall: 0.845, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.6731, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.884, kappa: 0.768, kb_relative_information_score: 638.3019, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.884, predictive_accuracy: 0.884, prior_entropy: 1, recall: 0.884, relative_absolute_error: 0.3906, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.5895, scimark_benchmark: 1341.5795, usercpu_time_millis: 6070, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 5960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.845, kappa: 0.69, kb_relative_information_score: 520.9948, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 1, recall: 0.845, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.6731, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.845, kappa: 0.69, kb_relative_information_score: 520.9948, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 1, recall: 0.845, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.6731, scimark_benchmark: 1288.1375, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.845, kappa: 0.69, kb_relative_information_score: 520.9948, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 1, recall: 0.845, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.6731, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.845, kappa: 0.69, kb_relative_information_score: 520.9948, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.845, predictive_accuracy: 0.845, prior_entropy: 1, recall: 0.845, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.6731, scimark_benchmark: 1312.2688, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.8789, kappa: 0.7579, kb_relative_information_score: 642.5312, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.5, number_of_instances: 1000, precision: 0.8796, predictive_accuracy: 0.879, prior_entropy: 1, recall: 0.879, relative_absolute_error: 0.3835, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.291, root_relative_squared_error: 0.5821, scimark_benchmark: 1352.1128, usercpu_time_millis: 240, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 200,

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