OpenML
Supervised Classification on monks-problems-1

Supervised Classification on monks-problems-1

Task 3492 Supervised Classification monks-problems-1 116029 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1308.6296, usercpu_time_millis: 0.09, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7949, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1285.6395, usercpu_time_millis: 0.095, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1294.6586, usercpu_time_millis: 0.089, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7949, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1304.4665, usercpu_time_millis: 0.094, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1336.8539, usercpu_time_millis: 0.096, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1331.4312, usercpu_time_millis: 0.092, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1353.1507, usercpu_time_millis: 0.084, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 444.4183, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.3307, scimark_benchmark: 1324.6099, usercpu_time_millis: 2.824, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 2.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.991, kappa: 0.982, kb_relative_information_score: 350.6351, mean_absolute_error: 0.2149, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9912, predictive_accuracy: 0.991, prior_entropy: 1, recall: 0.991, relative_absolute_error: 0.4299, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.4997, scimark_benchmark: 1329.7497, usercpu_time_millis: 18.273, usercpu_time_millis_testing: 2.422, usercpu_time_millis_training: 15.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9964, kb_relative_information_score: 399.5522, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1, recall: 0.9982, relative_absolute_error: 0.3337, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.21, root_relative_squared_error: 0.42, scimark_benchmark: 1317.3445, usercpu_time_millis: 18.669, usercpu_time_millis_testing: 2.088, usercpu_time_millis_training: 16.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1319.2301, usercpu_time_millis: 0.085, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1300.4993, usercpu_time_millis: 0.081, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1308.1256, usercpu_time_millis: 0.096, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1326.3891, usercpu_time_millis: 0.09, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1305.9064, usercpu_time_millis: 0.103, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7932, f_measure: 0.7401, kappa: 0.4856, kb_relative_information_score: 214.8424, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7535, predictive_accuracy: 0.7428, prior_entropy: 1, recall: 0.7428, relative_absolute_error: 0.628, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.7973, scimark_benchmark: 1309.4626, usercpu_time_millis: 0.11, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7949, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1324.1669, usercpu_time_millis: 0.103, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1322.2854, usercpu_time_millis: 0.089, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1317.4787, usercpu_time_millis: 0.091, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1324.4375, usercpu_time_millis: 0.087, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1304.651, usercpu_time_millis: 0.101, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7949, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1310.6282, usercpu_time_millis: 0.097, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7949, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1325.9046, usercpu_time_millis: 0.093, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1320.607, usercpu_time_millis: 0.095, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7949, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1314.2482, usercpu_time_millis: 0.101, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7949, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1299.3758, usercpu_time_millis: 0.096, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.982, kappa: 0.964, kb_relative_information_score: 361.8365, mean_absolute_error: 0.2001, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9826, predictive_accuracy: 0.982, prior_entropy: 1, recall: 0.982, relative_absolute_error: 0.4003, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.5016, scimark_benchmark: 1318.2589, usercpu_time_millis: 5.492, usercpu_time_millis_testing: 0.633, usercpu_time_millis_training: 4.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 440.4656, mean_absolute_error: 0.1266, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2531, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.3375, scimark_benchmark: 1289.7281, usercpu_time_millis: 8.672, usercpu_time_millis_testing: 1.041, usercpu_time_millis_training: 7.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.982, kappa: 0.964, kb_relative_information_score: 319.8916, mean_absolute_error: 0.2435, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9826, predictive_accuracy: 0.982, prior_entropy: 1, recall: 0.982, relative_absolute_error: 0.4869, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.5518, scimark_benchmark: 1282.8497, usercpu_time_millis: 18.714, usercpu_time_millis_testing: 2.205, usercpu_time_millis_training: 16.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 427.2501, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2792, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.3671, scimark_benchmark: 1309.425, usercpu_time_millis: 16.999, usercpu_time_millis_testing: 1.907, usercpu_time_millis_training: 15.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9185, kappa: 0.8381, kb_relative_information_score: 310.085, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9303, predictive_accuracy: 0.9191, prior_entropy: 1, recall: 0.9191, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.6007, scimark_benchmark: 1311.1921, usercpu_time_millis: 4.194, usercpu_time_millis_testing: 0.518, usercpu_time_millis_training: 3.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9112, kappa: 0.8237, kb_relative_information_score: 176.9406, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9251, predictive_accuracy: 0.9119, prior_entropy: 1, recall: 0.9119, relative_absolute_error: 0.7392, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.7633, scimark_benchmark: 1281.2035, usercpu_time_millis: 1.301, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 1.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9766, kappa: 0.9532, kb_relative_information_score: 341.381, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9777, predictive_accuracy: 0.9766, prior_entropy: 1, recall: 0.9766, relative_absolute_error: 0.4415, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.5276, scimark_benchmark: 1302.2097, usercpu_time_millis: 5.708, usercpu_time_millis_testing: 0.614, usercpu_time_millis_training: 5.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 454.1843, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2243, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1554, root_relative_squared_error: 0.3109, scimark_benchmark: 1312.7353, usercpu_time_millis: 0.754, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 0.635,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9964, kb_relative_information_score: 465.8133, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1, recall: 0.9982, relative_absolute_error: 0.1959, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.3028, scimark_benchmark: 1315.1995, usercpu_time_millis: 6.441, usercpu_time_millis_testing: 0.68, usercpu_time_millis_training: 5.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.8964, kappa: 0.795, kb_relative_information_score: 171.3743, mean_absolute_error: 0.3741, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9149, predictive_accuracy: 0.8975, prior_entropy: 1, recall: 0.8975, relative_absolute_error: 0.7481, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.7713, scimark_benchmark: 1318.4682, usercpu_time_millis: 7.393, usercpu_time_millis_testing: 0.916, usercpu_time_millis_training: 6.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9259, kappa: 0.8525, kb_relative_information_score: 315.0519, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9357, predictive_accuracy: 0.9263, prior_entropy: 1, recall: 0.9263, relative_absolute_error: 0.4789, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2952, root_relative_squared_error: 0.5904, scimark_benchmark: 1283.8776, usercpu_time_millis: 6.367, usercpu_time_millis_testing: 0.734, usercpu_time_millis_training: 5.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9368, kappa: 0.8741, kb_relative_information_score: 301.5848, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9433, predictive_accuracy: 0.9371, prior_entropy: 1, recall: 0.9371, relative_absolute_error: 0.5091, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.6014, scimark_benchmark: 1316.0245, usercpu_time_millis: 0.556, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 0.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9001, kappa: 0.8022, kb_relative_information_score: 243.4329, mean_absolute_error: 0.3085, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9174, predictive_accuracy: 0.9011, prior_entropy: 1, recall: 0.9011, relative_absolute_error: 0.6171, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.6784, scimark_benchmark: 1285.7111, usercpu_time_millis: 3.088, usercpu_time_millis_testing: 0.341, usercpu_time_millis_training: 2.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 423.0277, mean_absolute_error: 0.1441, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.3743, scimark_benchmark: 1315.1474, usercpu_time_millis: 4.191, usercpu_time_millis_testing: 0.397, usercpu_time_millis_training: 3.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 434.5454, mean_absolute_error: 0.1329, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2657, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.3477, scimark_benchmark: 1290.3284, usercpu_time_millis: 9.501, usercpu_time_millis_testing: 1.001, usercpu_time_millis_training: 8.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 438.825, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.3411, scimark_benchmark: 1287.1035, usercpu_time_millis: 12.031, usercpu_time_millis_testing: 1.31, usercpu_time_millis_training: 10.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 459.8466, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2146, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1453, root_relative_squared_error: 0.2906, scimark_benchmark: 1289.1787, usercpu_time_millis: 2.326, usercpu_time_millis_testing: 0.223, usercpu_time_millis_training: 2.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.982, kappa: 0.964, kb_relative_information_score: 328.1427, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9826, predictive_accuracy: 0.982, prior_entropy: 1, recall: 0.982, relative_absolute_error: 0.4695, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2709, root_relative_squared_error: 0.5418, scimark_benchmark: 1315.4751, usercpu_time_millis: 0.469, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 0.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 426.4851, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2815, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.3657, scimark_benchmark: 1290.7635, usercpu_time_millis: 14.039, usercpu_time_millis_testing: 1.575, usercpu_time_millis_training: 12.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 500.4083, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1265, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1004, root_relative_squared_error: 0.2007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.982, kappa: 0.964, kb_relative_information_score: 325.4554, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9826, predictive_accuracy: 0.982, prior_entropy: 1, recall: 0.982, relative_absolute_error: 0.4766, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2714, root_relative_squared_error: 0.5428, scimark_benchmark: 1284.6979, usercpu_time_millis: 16.939, usercpu_time_millis_testing: 2.167, usercpu_time_millis_training: 14.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 435.8189, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2638, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.3435, scimark_benchmark: 1316.2358, usercpu_time_millis: 9.095, usercpu_time_millis_testing: 0.874, usercpu_time_millis_training: 8.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9892, kappa: 0.9784, kb_relative_information_score: 351.2826, mean_absolute_error: 0.2139, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 1, recall: 0.9892, relative_absolute_error: 0.4277, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.25, root_relative_squared_error: 0.5001, scimark_benchmark: 1309.0717, usercpu_time_millis: 15.496, usercpu_time_millis_testing: 2.053, usercpu_time_millis_training: 13.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9404, kappa: 0.8813, kb_relative_information_score: 331.9591, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9469, predictive_accuracy: 0.9406, prior_entropy: 1, recall: 0.9406, relative_absolute_error: 0.4508, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.5597, scimark_benchmark: 1319.5704, usercpu_time_millis: 11.781, usercpu_time_millis_testing: 1.329, usercpu_time_millis_training: 10.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 451.9498, mean_absolute_error: 0.1144, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2288, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.158, root_relative_squared_error: 0.316, scimark_benchmark: 1287.126, usercpu_time_millis: 11.611, usercpu_time_millis_testing: 1.3, usercpu_time_millis_training: 10.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 445.3001, mean_absolute_error: 0.1216, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2432, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.3277, scimark_benchmark: 1293.1425, usercpu_time_millis: 1.643, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 1.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.8871, kappa: 0.777, kb_relative_information_score: 166.052, mean_absolute_error: 0.3784, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9088, predictive_accuracy: 0.8885, prior_entropy: 1, recall: 0.8885, relative_absolute_error: 0.7568, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.779, scimark_benchmark: 1291.7944, usercpu_time_millis: 1.114, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 0.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.8665, kappa: 0.7374, kb_relative_information_score: 251.4478, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8944, predictive_accuracy: 0.8687, prior_entropy: 1, recall: 0.8687, relative_absolute_error: 0.5951, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.6784, scimark_benchmark: 1315.8511, usercpu_time_millis: 1.312, usercpu_time_millis_testing: 0.162, usercpu_time_millis_training: 1.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9784, kappa: 0.9568, kb_relative_information_score: 328.1733, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9793, predictive_accuracy: 0.9784, prior_entropy: 1, recall: 0.9784, relative_absolute_error: 0.4711, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.5387, scimark_benchmark: 1289.0363, usercpu_time_millis: 2.122, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 1.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9928, kb_relative_information_score: 387.8963, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1, recall: 0.9964, relative_absolute_error: 0.3565, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.4406, scimark_benchmark: 1311.6566, usercpu_time_millis: 11.621, usercpu_time_millis_testing: 1.278, usercpu_time_millis_training: 10.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kb_relative_information_score: -0.0208, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0034,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9838, kappa: 0.9676, kb_relative_information_score: 330.1979, mean_absolute_error: 0.234, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9843, predictive_accuracy: 0.9838, prior_entropy: 1, recall: 0.9838, relative_absolute_error: 0.468, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2672, root_relative_squared_error: 0.5344, scimark_benchmark: 1316.3357, usercpu_time_millis: 10.198, usercpu_time_millis_testing: 1.21, usercpu_time_millis_training: 8.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 449.2165, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2371, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.3123, scimark_benchmark: 1317.4692, usercpu_time_millis: 16.488, usercpu_time_millis_testing: 1.523, usercpu_time_millis_training: 14.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9766, kappa: 0.9532, kb_relative_information_score: 314.3903, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9777, predictive_accuracy: 0.9766, prior_entropy: 1, recall: 0.9766, relative_absolute_error: 0.4962, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2811, root_relative_squared_error: 0.5621, scimark_benchmark: 1289.3309, usercpu_time_millis: 12.169, usercpu_time_millis_testing: 1.467, usercpu_time_millis_training: 10.702,

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