OpenML
Supervised Classification on vehicle

Supervised Classification on vehicle

Task 1817 Supervised Classification vehicle 327 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.6508, kappa: 0.5479, kb_relative_information_score: 2400.9035, mean_absolute_error: 0.1915, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6451, predictive_accuracy: 0.661, prior_entropy: 1.9991, recall: 0.661, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.345, root_relative_squared_error: 0.797, scimark_benchmark: 1308.6872, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5167, f_measure: 0.1949, kappa: 0.0334, kb_relative_information_score: 545.061, mean_absolute_error: 0.3591, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.3807, predictive_accuracy: 0.2818, prior_entropy: 1.9991, recall: 0.2818, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.5993, root_relative_squared_error: 1.3842, scimark_benchmark: 1382.5085, usercpu_time_millis: 650, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.7367, kappa: 0.6612, kb_relative_information_score: 2678.1363, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.7314, predictive_accuracy: 0.7459, prior_entropy: 1.9991, recall: 0.7459, relative_absolute_error: 0.4604, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.6487, scimark_benchmark: 1267.7714, usercpu_time_millis: 400, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5167, f_measure: 0.1949, kappa: 0.0334, kb_relative_information_score: 545.061, mean_absolute_error: 0.3591, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.3807, predictive_accuracy: 0.2818, prior_entropy: 1.9991, recall: 0.2818, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.5993, root_relative_squared_error: 1.3842, scimark_benchmark: 1352.06, usercpu_time_millis: 670, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.6582, kappa: 0.5635, kb_relative_information_score: 2502.7964, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6553, predictive_accuracy: 0.6726, prior_entropy: 1.9991, recall: 0.6726, relative_absolute_error: 0.4831, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.7585, scimark_benchmark: 1260.1387, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.6582, kappa: 0.5635, kb_relative_information_score: 2502.7964, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6553, predictive_accuracy: 0.6726, prior_entropy: 1.9991, recall: 0.6726, relative_absolute_error: 0.4831, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.7585, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.6582, kappa: 0.5635, kb_relative_information_score: 2502.7964, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6553, predictive_accuracy: 0.6726, prior_entropy: 1.9991, recall: 0.6726, relative_absolute_error: 0.4831, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.7585, scimark_benchmark: 1354.3488, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.7367, kappa: 0.6612, kb_relative_information_score: 2678.1363, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.7314, predictive_accuracy: 0.7459, prior_entropy: 1.9991, recall: 0.7459, relative_absolute_error: 0.4604, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.6487, scimark_benchmark: 1347.993, usercpu_time_millis: 360, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.6582, kappa: 0.5635, kb_relative_information_score: 2502.7964, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6553, predictive_accuracy: 0.6726, prior_entropy: 1.9991, recall: 0.6726, relative_absolute_error: 0.4831, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.7585, scimark_benchmark: 938.0414, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.6582, kappa: 0.5635, kb_relative_information_score: 2502.7964, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6553, predictive_accuracy: 0.6726, prior_entropy: 1.9991, recall: 0.6726, relative_absolute_error: 0.4831, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.7585, scimark_benchmark: 1322.7257, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.6752, kappa: 0.5671, kb_relative_information_score: 2443.2918, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6757, predictive_accuracy: 0.6754, prior_entropy: 1.9991, recall: 0.6754, relative_absolute_error: 0.4948, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.7934, scimark_benchmark: 940.3347, usercpu_time_millis: 2660, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.7367, kappa: 0.6612, kb_relative_information_score: 2678.1363, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.7314, predictive_accuracy: 0.7459, prior_entropy: 1.9991, recall: 0.7459, relative_absolute_error: 0.4604, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.6487, scimark_benchmark: 1322.7257, usercpu_time_millis: 340, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.5703, kappa: 0.4538, kb_relative_information_score: 2170.9188, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.5753, predictive_accuracy: 0.5894, prior_entropy: 1.9991, recall: 0.5894, relative_absolute_error: 0.5653, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.9182, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.6582, kappa: 0.5635, kb_relative_information_score: 2502.7964, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6553, predictive_accuracy: 0.6726, prior_entropy: 1.9991, recall: 0.6726, relative_absolute_error: 0.4831, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.7585, scimark_benchmark: 918.0213, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.6582, kappa: 0.5635, kb_relative_information_score: 2502.7964, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6553, predictive_accuracy: 0.6726, prior_entropy: 1.9991, recall: 0.6726, relative_absolute_error: 0.4831, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.7585, scimark_benchmark: 918.0213, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.6508, kappa: 0.5479, kb_relative_information_score: 2400.9035, mean_absolute_error: 0.1915, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6451, predictive_accuracy: 0.661, prior_entropy: 1.9991, recall: 0.661, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.345, root_relative_squared_error: 0.797, scimark_benchmark: 1261.7298, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.6508, kappa: 0.5479, kb_relative_information_score: 2400.9035, mean_absolute_error: 0.1915, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6451, predictive_accuracy: 0.661, prior_entropy: 1.9991, recall: 0.661, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.345, root_relative_squared_error: 0.797, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.5703, kappa: 0.4538, kb_relative_information_score: 2170.9188, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.5753, predictive_accuracy: 0.5894, prior_entropy: 1.9991, recall: 0.5894, relative_absolute_error: 0.5653, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.9182, scimark_benchmark: 1315.933, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.6752, kappa: 0.5671, kb_relative_information_score: 2443.2918, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6757, predictive_accuracy: 0.6754, prior_entropy: 1.9991, recall: 0.6754, relative_absolute_error: 0.4948, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.7934, scimark_benchmark: 1315.933, usercpu_time_millis: 3120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.7367, kappa: 0.6612, kb_relative_information_score: 2678.1363, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.7314, predictive_accuracy: 0.7459, prior_entropy: 1.9991, recall: 0.7459, relative_absolute_error: 0.4604, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.6487, scimark_benchmark: 1315.933, usercpu_time_millis: 380, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.6508, kappa: 0.5479, kb_relative_information_score: 2400.9035, mean_absolute_error: 0.1915, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6451, predictive_accuracy: 0.661, prior_entropy: 1.9991, recall: 0.661, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.345, root_relative_squared_error: 0.797, scimark_benchmark: 1342.6911, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5167, f_measure: 0.1949, kappa: 0.0334, kb_relative_information_score: 545.061, mean_absolute_error: 0.3591, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.3807, predictive_accuracy: 0.2818, prior_entropy: 1.9991, recall: 0.2818, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.5993, root_relative_squared_error: 1.3842, scimark_benchmark: 1354.3488, usercpu_time_millis: 690, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.6582, kappa: 0.5635, kb_relative_information_score: 2502.7964, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6553, predictive_accuracy: 0.6726, prior_entropy: 1.9991, recall: 0.6726, relative_absolute_error: 0.4831, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.7585, scimark_benchmark: 1354.3488, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.6582, kappa: 0.5635, kb_relative_information_score: 2502.7964, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6553, predictive_accuracy: 0.6726, prior_entropy: 1.9991, recall: 0.6726, relative_absolute_error: 0.4831, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.7585, scimark_benchmark: 1342.6911, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.6582, kappa: 0.5635, kb_relative_information_score: 2502.7964, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6553, predictive_accuracy: 0.6726, prior_entropy: 1.9991, recall: 0.6726, relative_absolute_error: 0.4831, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.7585, scimark_benchmark: 1312.0581, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.7367, kappa: 0.6612, kb_relative_information_score: 2678.1363, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.7314, predictive_accuracy: 0.7459, prior_entropy: 1.9991, recall: 0.7459, relative_absolute_error: 0.4604, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.6487, scimark_benchmark: 1345.7204, usercpu_time_millis: 350, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.6508, kappa: 0.5479, kb_relative_information_score: 2400.9035, mean_absolute_error: 0.1915, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6451, predictive_accuracy: 0.661, prior_entropy: 1.9991, recall: 0.661, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.345, root_relative_squared_error: 0.797, scimark_benchmark: 1064.8317, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.6508, kappa: 0.5479, kb_relative_information_score: 2400.9035, mean_absolute_error: 0.1915, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6451, predictive_accuracy: 0.661, prior_entropy: 1.9991, recall: 0.661, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.345, root_relative_squared_error: 0.797, scimark_benchmark: 1339.8573, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8779, f_measure: 0.6584, kappa: 0.5556, kb_relative_information_score: 2360.8239, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6542, predictive_accuracy: 0.6667, prior_entropy: 1.9991, recall: 0.6667, relative_absolute_error: 0.5311, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3245, root_relative_squared_error: 0.7495, scimark_benchmark: 1345.3152, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.7527, kappa: 0.674, kb_relative_information_score: 2966.0656, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.7506, predictive_accuracy: 0.7556, prior_entropy: 1.9991, recall: 0.7556, relative_absolute_error: 0.3555, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.6641, scimark_benchmark: 892.0148, usercpu_time_millis: 790, usercpu_time_millis_training: 790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.6508, kappa: 0.5479, kb_relative_information_score: 2400.9035, mean_absolute_error: 0.1915, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6451, predictive_accuracy: 0.661, prior_entropy: 1.9991, recall: 0.661, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.345, root_relative_squared_error: 0.797, scimark_benchmark: 1343.6648, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.6956, kappa: 0.6217, kb_relative_information_score: 2379.4554, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6967, predictive_accuracy: 0.7161, prior_entropy: 1.9991, recall: 0.7161, relative_absolute_error: 0.551, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.6868, scimark_benchmark: 1347.5461, usercpu_time_millis: 890, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.6508, kappa: 0.5479, kb_relative_information_score: 2400.9035, mean_absolute_error: 0.1915, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6451, predictive_accuracy: 0.661, prior_entropy: 1.9991, recall: 0.661, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.345, root_relative_squared_error: 0.797, scimark_benchmark: 922.1419, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8779, f_measure: 0.7611, kappa: 0.6844, kb_relative_information_score: 2968.6519, mean_absolute_error: 0.1312, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.7592, predictive_accuracy: 0.7634, prior_entropy: 1.9991, recall: 0.7634, relative_absolute_error: 0.35, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.7146, scimark_benchmark: 912.7324, usercpu_time_millis: 220, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.7367, kappa: 0.6612, kb_relative_information_score: 2678.1363, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.7314, predictive_accuracy: 0.7459, prior_entropy: 1.9991, recall: 0.7459, relative_absolute_error: 0.4604, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.6487, scimark_benchmark: 937.1527, usercpu_time_millis: 620, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 560,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7653, f_measure: 0.4132, kappa: 0.2627, kb_relative_information_score: 1457.5809, mean_absolute_error: 0.2798, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.5013, predictive_accuracy: 0.443, prior_entropy: 1.9991, recall: 0.443, relative_absolute_error: 0.7465, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4642, root_relative_squared_error: 1.0723, scimark_benchmark: 1363.434, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.6893, kappa: 0.6142, kb_relative_information_score: 2375.789, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6888, predictive_accuracy: 0.7104, prior_entropy: 1.9991, recall: 0.7104, relative_absolute_error: 0.5512, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.6895, scimark_benchmark: 860.584, usercpu_time_millis: 270, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.6829, kappa: 0.605, kb_relative_information_score: 2369.4676, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6817, predictive_accuracy: 0.7035, prior_entropy: 1.9991, recall: 0.7035, relative_absolute_error: 0.55, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.6994, scimark_benchmark: 932.0242, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.7279, kappa: 0.6454, kb_relative_information_score: 2660.9854, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.7236, predictive_accuracy: 0.734, prior_entropy: 1.9991, recall: 0.734, relative_absolute_error: 0.4564, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.6736, scimark_benchmark: 918.6005, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.7169, kappa: 0.6395, kb_relative_information_score: 2540.3813, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.7124, predictive_accuracy: 0.7296, prior_entropy: 1.9991, recall: 0.7296, relative_absolute_error: 0.4989, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.676, scimark_benchmark: 940.3347, usercpu_time_millis: 360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.7098, kappa: 0.63, kb_relative_information_score: 2538.4489, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.705, predictive_accuracy: 0.7225, prior_entropy: 1.9991, recall: 0.7225, relative_absolute_error: 0.4984, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2952, root_relative_squared_error: 0.6818, scimark_benchmark: 942.9518, usercpu_time_millis: 240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.7056, kappa: 0.6224, kb_relative_information_score: 2536.3905, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.7005, predictive_accuracy: 0.7168, prior_entropy: 1.9991, recall: 0.7168, relative_absolute_error: 0.4955, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.6913, scimark_benchmark: 929.0363, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.6691, kappa: 0.5629, kb_relative_information_score: 2582.0522, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6665, predictive_accuracy: 0.6723, prior_entropy: 1.9991, recall: 0.6723, relative_absolute_error: 0.4605, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.8133, scimark_benchmark: 1310.3951, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6514, f_measure: 0.3174, kappa: 0.2099, kb_relative_information_score: 838.6584, mean_absolute_error: 0.3378, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.2899, predictive_accuracy: 0.4021, prior_entropy: 1.9991, recall: 0.4021, relative_absolute_error: 0.9013, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.9515, scimark_benchmark: 1325.2092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6514, f_measure: 0.3174, kappa: 0.2099, kb_relative_information_score: 838.6584, mean_absolute_error: 0.3378, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.2899, predictive_accuracy: 0.4021, prior_entropy: 1.9991, recall: 0.4021, relative_absolute_error: 0.9013, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.9515, scimark_benchmark: 1280.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6514, f_measure: 0.3174, kappa: 0.2099, kb_relative_information_score: 838.6584, mean_absolute_error: 0.3378, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.2899, predictive_accuracy: 0.4021, prior_entropy: 1.9991, recall: 0.4021, relative_absolute_error: 0.9013, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.9515, scimark_benchmark: 909.1698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6514, f_measure: 0.3174, kappa: 0.2099, kb_relative_information_score: 838.6584, mean_absolute_error: 0.3378, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.2899, predictive_accuracy: 0.4021, prior_entropy: 1.9991, recall: 0.4021, relative_absolute_error: 0.9013, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.9515, scimark_benchmark: 889.3151, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6514, f_measure: 0.3174, kappa: 0.2099, kb_relative_information_score: 838.6584, mean_absolute_error: 0.3378, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.2899, predictive_accuracy: 0.4021, prior_entropy: 1.9991, recall: 0.4021, relative_absolute_error: 0.9013, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.9515, scimark_benchmark: 933.3136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.6793, kappa: 0.577, kb_relative_information_score: 2457.7118, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6769, predictive_accuracy: 0.683, prior_entropy: 1.9991, recall: 0.683, relative_absolute_error: 0.5084, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.739, scimark_benchmark: 930.5999, usercpu_time_millis: 140, usercpu_time_millis_testing: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.6865, kappa: 0.5821, kb_relative_information_score: 2580.7407, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6867, predictive_accuracy: 0.6868, prior_entropy: 1.9991, recall: 0.6868, relative_absolute_error: 0.4688, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.7525, scimark_benchmark: 1333.5799, usercpu_time_millis: 100, usercpu_time_millis_testing: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, f_measure: 0.4174, kappa: 0.2648, kb_relative_information_score: 1028.4108, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.4444, predictive_accuracy: 0.447, prior_entropy: 1.9991, recall: 0.447, relative_absolute_error: 0.8768, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.9663, scimark_benchmark: 1372.2145, usercpu_time_millis: 960, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.6988, kappa: 0.6162, kb_relative_information_score: 1633.8393, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6952, predictive_accuracy: 0.7121, prior_entropy: 1.9991, recall: 0.7121, relative_absolute_error: 0.757, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.8345, scimark_benchmark: 939.449, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.7527, kappa: 0.6768, kb_relative_information_score: 2722.3945, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.7492, predictive_accuracy: 0.7577, prior_entropy: 1.9991, recall: 0.7577, relative_absolute_error: 0.4484, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2805, root_relative_squared_error: 0.6479, scimark_benchmark: 1280.6952, usercpu_time_millis: 600, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.6842, kappa: 0.5959, kb_relative_information_score: 2687.6657, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.684, predictive_accuracy: 0.6972, prior_entropy: 1.9991, recall: 0.6972, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3891, root_relative_squared_error: 0.8988, scimark_benchmark: 938.9967, usercpu_time_millis: 460, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.6752, kappa: 0.5671, kb_relative_information_score: 2443.2918, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6757, predictive_accuracy: 0.6754, prior_entropy: 1.9991, recall: 0.6754, relative_absolute_error: 0.4948, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.7934, scimark_benchmark: 1315.3881, usercpu_time_millis: 2780, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.7367, kappa: 0.6612, kb_relative_information_score: 2678.1363, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.7314, predictive_accuracy: 0.7459, prior_entropy: 1.9991, recall: 0.7459, relative_absolute_error: 0.4604, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.6487, scimark_benchmark: 1073.494, usercpu_time_millis: 500, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7869, f_measure: 0.6803, kappa: 0.5746, kb_relative_information_score: 2604.0258, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6798, predictive_accuracy: 0.6811, prior_entropy: 1.9991, recall: 0.6811, relative_absolute_error: 0.4254, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.9224, scimark_benchmark: 1315.0767, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.6782, kappa: 0.582, kb_relative_information_score: 2491.0998, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6739, predictive_accuracy: 0.6865, prior_entropy: 1.9991, recall: 0.6865, relative_absolute_error: 0.5008, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.7682, scimark_benchmark: 1325.942, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.6837, kappa: 0.5863, kb_relative_information_score: 2549.042, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6803, predictive_accuracy: 0.6896, prior_entropy: 1.9991, recall: 0.6896, relative_absolute_error: 0.4655, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.7943, scimark_benchmark: 1376.7478, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.5861, kappa: 0.4588, kb_relative_information_score: 2159.9623, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.588, predictive_accuracy: 0.5948, prior_entropy: 1.9991, recall: 0.5948, relative_absolute_error: 0.5405, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4501, root_relative_squared_error: 1.0397, scimark_benchmark: 1372.2145, usercpu_time_millis: 130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5027, f_measure: 0.1091, kappa: 0.0053, kb_relative_information_score: 420.0915, mean_absolute_error: 0.3727, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.5302, predictive_accuracy: 0.2546, prior_entropy: 1.9991, recall: 0.2546, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.6105, root_relative_squared_error: 1.4102, scimark_benchmark: 1384.4418, usercpu_time_millis: 170, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.6911, kappa: 0.596, kb_relative_information_score: 2736.0402, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.6932, predictive_accuracy: 0.6972, prior_entropy: 1.9991, recall: 0.6972, relative_absolute_error: 0.4179, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.7847, scimark_benchmark: 1384.4418, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.4987, kappa: 0.3469, kb_relative_information_score: 1731.2798, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.3748, number_of_instances: 4230, precision: 0.4971, predictive_accuracy: 0.5097, prior_entropy: 1.9991, recall: 0.5097, relative_absolute_error: 0.654, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4951, root_relative_squared_error: 1.1437, scimark_benchmark: 1465.2979,

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