OpenML
Supervised Classification on monks-problems-2

Supervised Classification on monks-problems-2

Task 3493 Supervised Classification monks-problems-2 129575 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: 0.5549, f_measure: 0.5424, kappa: -0.0098, kb_relative_information_score: 3.9717, mean_absolute_error: 0.4428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5397, predictive_accuracy: 0.6306, prior_entropy: 0.9279, recall: 0.6306, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4876, root_relative_squared_error: 1.0274, scimark_benchmark: 473.1656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5452, f_measure: 0.5017, kappa: -0.077, kb_relative_information_score: -13.7179, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4226, predictive_accuracy: 0.6173, prior_entropy: 0.9279, recall: 0.6173, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4788, root_relative_squared_error: 1.0087, scimark_benchmark: 1254.1389, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.7959, kappa: 0.5386, kb_relative_information_score: 298.7759, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7984, predictive_accuracy: 0.802, prior_entropy: 0.9279, recall: 0.802, relative_absolute_error: 0.4658, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.7195, scimark_benchmark: 473.1656, usercpu_time_millis: 100, usercpu_time_millis_testing: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5446, f_measure: 0.5067, kappa: -0.0583, kb_relative_information_score: -13.1484, mean_absolute_error: 0.4474, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.425, predictive_accuracy: 0.6273, prior_entropy: 0.9279, recall: 0.6273, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0072, scimark_benchmark: 1167.4563, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.995, kappa: 0.9889, kb_relative_information_score: 593.6181, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.9279, recall: 0.995, relative_absolute_error: 0.0113, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0658, root_relative_squared_error: 0.1386, scimark_benchmark: 1223.8914, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.7959, kappa: 0.5386, kb_relative_information_score: 298.7759, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7984, predictive_accuracy: 0.802, prior_entropy: 0.9279, recall: 0.802, relative_absolute_error: 0.4658, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.7195, scimark_benchmark: 1237.7312, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 600.6839, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, root_mean_prior_squared_error: 0.4746, scimark_benchmark: 1247.7752, usercpu_time_millis: 4900, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 596.5184, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.0099, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0047, root_relative_squared_error: 0.01, scimark_benchmark: 477.3129, usercpu_time_millis: 3080, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 565.7598, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.0812, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0388, root_relative_squared_error: 0.0817, scimark_benchmark: 1222.2285, usercpu_time_millis: 12910, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 12900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.9701, kappa: 0.9335, kb_relative_information_score: 558.9938, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9701, predictive_accuracy: 0.9701, prior_entropy: 0.9279, recall: 0.9701, relative_absolute_error: 0.0665, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.3646, usercpu_time_millis: 2.213, usercpu_time_millis_testing: 0.452, usercpu_time_millis_training: 1.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6987, f_measure: 0.7533, kappa: 0.4382, kb_relative_information_score: 281.0599, mean_absolute_error: 0.2296, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7703, predictive_accuracy: 0.7704, prior_entropy: 0.9279, recall: 0.7704, relative_absolute_error: 0.5095, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4792, root_relative_squared_error: 1.0096, usercpu_time_millis: 19.344, usercpu_time_millis_testing: 3.369, usercpu_time_millis_training: 15.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4696, f_measure: 0.5017, kappa: -0.077, kb_relative_information_score: 67.9772, mean_absolute_error: 0.3827, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4226, predictive_accuracy: 0.6173, prior_entropy: 0.9279, recall: 0.6173, relative_absolute_error: 0.8491, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.6186, root_relative_squared_error: 1.3034, usercpu_time_millis: 0.567, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 0.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335, usercpu_time_millis: 1.918, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 1.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335, usercpu_time_millis: 0.79, usercpu_time_millis_testing: 0.198, usercpu_time_millis_training: 0.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335, usercpu_time_millis: 0.425, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335, usercpu_time_millis: 1.477, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 1.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335, usercpu_time_millis: 0.696, usercpu_time_millis_testing: 0.334, usercpu_time_millis_training: 0.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7094, f_measure: 0.7693, kappa: 0.4757, kb_relative_information_score: 311.1694, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8129, predictive_accuracy: 0.792, prior_entropy: 0.9279, recall: 0.792, relative_absolute_error: 0.4615, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9609, usercpu_time_millis: 58.348, usercpu_time_millis_testing: 3.689, usercpu_time_millis_training: 54.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7565, f_measure: 0.7959, kappa: 0.5386, kb_relative_information_score: 325.0661, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7984, predictive_accuracy: 0.802, prior_entropy: 0.9279, recall: 0.802, relative_absolute_error: 0.4393, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.445, root_relative_squared_error: 0.9375, usercpu_time_millis: 2.341, usercpu_time_millis_testing: 0.859, usercpu_time_millis_training: 1.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5424, kappa: -0.0098, kb_relative_information_score: 86.5061, mean_absolute_error: 0.3694, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5397, predictive_accuracy: 0.6306, prior_entropy: 0.9279, recall: 0.6306, relative_absolute_error: 0.8195, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.6078, root_relative_squared_error: 1.2805, usercpu_time_millis: 2.942, usercpu_time_millis_testing: 1.106, usercpu_time_millis_training: 1.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4877, f_measure: 0.5294, kappa: -0.0307, kb_relative_information_score: 81.8739, mean_absolute_error: 0.3727, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5138, predictive_accuracy: 0.6273, prior_entropy: 0.9279, recall: 0.6273, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.6105, root_relative_squared_error: 1.2863, usercpu_time_millis: 2.676, usercpu_time_millis_testing: 0.982, usercpu_time_millis_training: 1.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.8255, kappa: 0.6025, kb_relative_information_score: 376.0206, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8584, predictive_accuracy: 0.8386, prior_entropy: 0.9279, recall: 0.8386, relative_absolute_error: 0.3581, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8464, usercpu_time_millis: 133.24, usercpu_time_millis_testing: 8.756, usercpu_time_millis_training: 124.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4734, f_measure: 0.5042, kappa: -0.0677, kb_relative_information_score: 74.9256, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4238, predictive_accuracy: 0.6223, prior_entropy: 0.9279, recall: 0.6223, relative_absolute_error: 0.838, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.6146, root_relative_squared_error: 1.2948, usercpu_time_millis: 0.238, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 0.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.5205, kappa: -0.0033, kb_relative_information_score: 121.2479, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4316, predictive_accuracy: 0.6556, prior_entropy: 0.9279, recall: 0.6556, relative_absolute_error: 0.7642, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5869, root_relative_squared_error: 1.2365, usercpu_time_millis: 0.541, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7769, f_measure: 0.7961, kappa: 0.5494, kb_relative_information_score: 315.8016, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7972, predictive_accuracy: 0.7953, prior_entropy: 0.9279, recall: 0.7953, relative_absolute_error: 0.4541, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9531, usercpu_time_millis: 0.218, usercpu_time_millis_testing: 0.207, usercpu_time_millis_training: 0.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4696, f_measure: 0.5017, kappa: -0.077, kb_relative_information_score: 67.9772, mean_absolute_error: 0.3827, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4226, predictive_accuracy: 0.6173, prior_entropy: 0.9279, recall: 0.6173, relative_absolute_error: 0.8491, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.6186, root_relative_squared_error: 1.3034, usercpu_time_millis: 0.621, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 0.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4696, f_measure: 0.5017, kappa: -0.077, kb_relative_information_score: 67.9772, mean_absolute_error: 0.3827, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4226, predictive_accuracy: 0.6173, prior_entropy: 0.9279, recall: 0.6173, relative_absolute_error: 0.8491, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.6186, root_relative_squared_error: 1.3034, usercpu_time_millis: 0.25, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 0.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4759, f_measure: 0.5059, kappa: -0.0614, kb_relative_information_score: 79.5578, mean_absolute_error: 0.3744, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4246, predictive_accuracy: 0.6256, prior_entropy: 0.9279, recall: 0.6256, relative_absolute_error: 0.8306, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.6119, root_relative_squared_error: 1.2891, usercpu_time_millis: 0.362, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 0.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7969, f_measure: 0.7856, kappa: 0.5492, kb_relative_information_score: 294.9566, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8119, predictive_accuracy: 0.7804, prior_entropy: 0.9279, recall: 0.7804, relative_absolute_error: 0.4873, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4687, root_relative_squared_error: 0.9874, usercpu_time_millis: 0.299, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8172, f_measure: 0.8576, kappa: 0.6769, kb_relative_information_score: 410.7624, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8689, predictive_accuracy: 0.8636, prior_entropy: 0.9279, recall: 0.8636, relative_absolute_error: 0.3027, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.7782, usercpu_time_millis: 1.451, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 1.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.8213, kappa: 0.5992, kb_relative_information_score: 355.1756, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.821, predictive_accuracy: 0.8236, prior_entropy: 0.9279, recall: 0.8236, relative_absolute_error: 0.3913, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.42, root_relative_squared_error: 0.8848, usercpu_time_millis: 2.668, usercpu_time_millis_testing: 0.953, usercpu_time_millis_training: 1.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335, usercpu_time_millis: 2.003, usercpu_time_millis_testing: 0.72, usercpu_time_millis_training: 1.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4633, f_measure: 0.4975, kappa: -0.0924, kb_relative_information_score: 56.3966, mean_absolute_error: 0.391, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4205, predictive_accuracy: 0.609, prior_entropy: 0.9279, recall: 0.609, relative_absolute_error: 0.8675, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.6253, root_relative_squared_error: 1.3175, usercpu_time_millis: 0.69, usercpu_time_millis_testing: 0.463, usercpu_time_millis_training: 0.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4696, f_measure: 0.5017, kappa: -0.077, kb_relative_information_score: 67.9772, mean_absolute_error: 0.3827, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4226, predictive_accuracy: 0.6173, prior_entropy: 0.9279, recall: 0.6173, relative_absolute_error: 0.8491, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.6186, root_relative_squared_error: 1.3034, usercpu_time_millis: 0.71, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7816, f_measure: 0.837, kappa: 0.6288, kb_relative_information_score: 392.2334, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.878, predictive_accuracy: 0.8503, prior_entropy: 0.9279, recall: 0.8503, relative_absolute_error: 0.3323, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.387, root_relative_squared_error: 0.8153, usercpu_time_millis: 4.317, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 3.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.8989, kappa: 0.7703, kb_relative_information_score: 466.3492, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9159, predictive_accuracy: 0.9035, prior_entropy: 0.9279, recall: 0.9035, relative_absolute_error: 0.2141, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3107, root_relative_squared_error: 0.6545, usercpu_time_millis: 3.732, usercpu_time_millis_testing: 0.445, usercpu_time_millis_training: 3.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9816, kappa: 0.9589, kb_relative_information_score: 575.2066, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9822, predictive_accuracy: 0.9817, prior_entropy: 0.9279, recall: 0.9817, relative_absolute_error: 0.0406, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1353, root_relative_squared_error: 0.285, usercpu_time_millis: 4.608, usercpu_time_millis_testing: 0.462, usercpu_time_millis_training: 4.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7607, f_measure: 0.7925, kappa: 0.5344, kb_relative_information_score: 315.8016, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7918, predictive_accuracy: 0.7953, prior_entropy: 0.9279, recall: 0.7953, relative_absolute_error: 0.4541, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9531, usercpu_time_millis: 0.257, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 0.158,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.532, f_measure: 0.4941, kappa: -0.1046, kb_relative_information_score: -12.8162, mean_absolute_error: 0.4466, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4189, predictive_accuracy: 0.6023, prior_entropy: 0.9279, recall: 0.6023, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4811, root_relative_squared_error: 1.0136, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, f_measure: 0.7424, kappa: 0.5096, kb_relative_information_score: 193.1605, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8518, predictive_accuracy: 0.7388, prior_entropy: 0.9279, recall: 0.7388, relative_absolute_error: 0.6604, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.386, root_relative_squared_error: 0.8133, scimark_benchmark: 1788.6668, usercpu_time_millis: 171.875, usercpu_time_millis_training: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5644, f_measure: 0.4838, kappa: -0.1401, kb_relative_information_score: -14.8449, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4137, predictive_accuracy: 0.5824, prior_entropy: 0.9279, recall: 0.5824, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4808, root_relative_squared_error: 1.0131, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5549, f_measure: 0.5424, kappa: -0.0098, kb_relative_information_score: 3.9717, mean_absolute_error: 0.4428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5397, predictive_accuracy: 0.6306, prior_entropy: 0.9279, recall: 0.6306, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4876, root_relative_squared_error: 1.0274, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: -0.2346, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8084, f_measure: 0.6813, kappa: 0.3046, kb_relative_information_score: 133.1145, mean_absolute_error: 0.3413, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6879, predictive_accuracy: 0.6772, prior_entropy: 0.9279, recall: 0.6772, relative_absolute_error: 0.7573, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8888, scimark_benchmark: 1744.8652, usercpu_time_millis: 140.625, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5182, f_measure: 0.5321, kappa: -0.0342, kb_relative_information_score: -13.6292, mean_absolute_error: 0.4482, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5169, predictive_accuracy: 0.6206, prior_entropy: 0.9279, recall: 0.6206, relative_absolute_error: 0.9944, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.0371, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.5381, kappa: -0.0317, kb_relative_information_score: -13.6699, mean_absolute_error: 0.4557, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5247, predictive_accuracy: 0.614, prior_entropy: 0.9279, recall: 0.614, relative_absolute_error: 1.011, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4833, root_relative_squared_error: 1.0182, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5644, f_measure: 0.4838, kappa: -0.1401, kb_relative_information_score: -14.8449, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4137, predictive_accuracy: 0.5824, prior_entropy: 0.9279, recall: 0.5824, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4808, root_relative_squared_error: 1.0131, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.7959, kappa: 0.5386, kb_relative_information_score: 298.7759, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7984, predictive_accuracy: 0.802, prior_entropy: 0.9279, recall: 0.802, relative_absolute_error: 0.4658, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.7195, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5452, f_measure: 0.5017, kappa: -0.077, kb_relative_information_score: -13.7179, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4226, predictive_accuracy: 0.6173, prior_entropy: 0.9279, recall: 0.6173, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4788, root_relative_squared_error: 1.0087, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, f_measure: 0.7424, kappa: 0.5096, kb_relative_information_score: 193.1606, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8518, predictive_accuracy: 0.7388, prior_entropy: 0.9279, recall: 0.7388, relative_absolute_error: 0.6604, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.386, root_relative_squared_error: 0.8133, scimark_benchmark: 1744.8652, usercpu_time_millis: 203.125, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5446, f_measure: 0.5067, kappa: -0.0583, kb_relative_information_score: -13.1484, mean_absolute_error: 0.4474, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.425, predictive_accuracy: 0.6273, prior_entropy: 0.9279, recall: 0.6273, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0072, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5549, f_measure: 0.5424, kappa: -0.0098, kb_relative_information_score: 3.9717, mean_absolute_error: 0.4428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5397, predictive_accuracy: 0.6306, prior_entropy: 0.9279, recall: 0.6306, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4876, root_relative_squared_error: 1.0274, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: -0.2346, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.6873, kappa: 0.3158, kb_relative_information_score: 135.6757, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6926, predictive_accuracy: 0.6839, prior_entropy: 0.9279, recall: 0.6839, relative_absolute_error: 0.7552, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.8842, scimark_benchmark: 1744.8652, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.516, f_measure: 0.5312, kappa: -0.0372, kb_relative_information_score: -14.8041, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5146, predictive_accuracy: 0.619, prior_entropy: 0.9279, recall: 0.619, relative_absolute_error: 0.9957, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4931, root_relative_squared_error: 1.0389, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4883, f_measure: 0.5408, kappa: -0.029, kb_relative_information_score: -12.6397, mean_absolute_error: 0.4547, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5281, predictive_accuracy: 0.6123, prior_entropy: 0.9279, recall: 0.6123, relative_absolute_error: 1.0089, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4834, root_relative_squared_error: 1.0185, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5644, f_measure: 0.4838, kappa: -0.1401, kb_relative_information_score: -14.8449, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4137, predictive_accuracy: 0.5824, prior_entropy: 0.9279, recall: 0.5824, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4808, root_relative_squared_error: 1.0131, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.7959, kappa: 0.5386, kb_relative_information_score: 298.7759, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7984, predictive_accuracy: 0.802, prior_entropy: 0.9279, recall: 0.802, relative_absolute_error: 0.4658, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.7195, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5452, f_measure: 0.5017, kappa: -0.077, kb_relative_information_score: -13.7179, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4226, predictive_accuracy: 0.6173, prior_entropy: 0.9279, recall: 0.6173, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4788, root_relative_squared_error: 1.0087, scimark_benchmark: 1744.8652,

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