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: 0.5, 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: 934.4732, usercpu_time_millis: 250, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5354, f_measure: 0.2683, kappa: 0.0497, kb_relative_information_score: -249.3307, mean_absolute_error: 0.6106, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7805, predictive_accuracy: 0.3894, prior_entropy: 0.9279, recall: 0.3894, relative_absolute_error: 1.3548, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.7814, root_relative_squared_error: 1.6464, scimark_benchmark: 930.5999, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.5422, kappa: 0.0032, kb_relative_information_score: -45.5125, mean_absolute_error: 0.4642, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5509, predictive_accuracy: 0.5358, prior_entropy: 0.9279, recall: 0.5358, relative_absolute_error: 1.03, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.6813, root_relative_squared_error: 1.4355, scimark_benchmark: 940.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.521, f_measure: 0.5172, kappa: -0.0902, kb_relative_information_score: 6.2113, mean_absolute_error: 0.4182, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4917, predictive_accuracy: 0.5807, prior_entropy: 0.9279, recall: 0.5807, relative_absolute_error: 0.928, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4799, root_relative_squared_error: 1.0112, scimark_benchmark: 1442.7264, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.521, f_measure: 0.5172, kappa: -0.0902, kb_relative_information_score: 6.2113, mean_absolute_error: 0.4182, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4917, predictive_accuracy: 0.5807, prior_entropy: 0.9279, recall: 0.5807, relative_absolute_error: 0.928, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4799, root_relative_squared_error: 1.0112, scimark_benchmark: 939.5205, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5519, f_measure: 0.5116, kappa: -0.0392, kb_relative_information_score: -10.9094, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4274, predictive_accuracy: 0.6373, prior_entropy: 0.9279, recall: 0.6373, relative_absolute_error: 0.9886, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4776, root_relative_squared_error: 1.0062, scimark_benchmark: 1336.3256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5612, f_measure: 0.4855, kappa: -0.1343, kb_relative_information_score: -14.0073, mean_absolute_error: 0.4447, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4146, predictive_accuracy: 0.5857, prior_entropy: 0.9279, recall: 0.5857, relative_absolute_error: 0.9866, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4801, root_relative_squared_error: 1.0116, scimark_benchmark: 1442.7264, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5645, f_measure: 0.4838, kappa: -0.1401, kb_relative_information_score: -14.8349, 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: 1.013, scimark_benchmark: 918.0213, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5644, 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: 942.6843, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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: 1363.434, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1231, mean_absolute_error: 0.4506, 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: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1336.2509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5744, f_measure: 0.5379, kappa: -0.041, kb_relative_information_score: 2.6299, mean_absolute_error: 0.4371, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5221, predictive_accuracy: 0.6023, prior_entropy: 0.9279, recall: 0.6023, relative_absolute_error: 0.9697, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.479, root_relative_squared_error: 1.0093, scimark_benchmark: 929.0363, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.569, f_measure: 0.5157, kappa: -0.0705, kb_relative_information_score: -0.3843, mean_absolute_error: 0.4394, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4824, predictive_accuracy: 0.6073, prior_entropy: 0.9279, recall: 0.6073, relative_absolute_error: 0.9749, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9984, scimark_benchmark: 938.9967, usercpu_time_millis: 310, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5452, f_measure: 0.5017, kappa: -0.077, kb_relative_information_score: -13.7178, 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: 942.9518, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5275, f_measure: 0.5213, kb_relative_information_score: -0.9541, mean_absolute_error: 0.4502, 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: 0.9989, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4745, root_relative_squared_error: 0.9996, scimark_benchmark: 860.584, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 1313.5726,
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: 938.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, f_measure: 0.5213, kb_relative_information_score: -7.7412, mean_absolute_error: 0.4503, 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: 0.999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0037, scimark_benchmark: 925.4974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: -110.5019, mean_absolute_error: 0.5, 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: 1.1093, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0534, scimark_benchmark: 916.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7746, f_measure: 0.7253, kappa: 0.4695, kb_relative_information_score: 211.5764, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8181, predictive_accuracy: 0.7205, prior_entropy: 0.9279, recall: 0.7205, relative_absolute_error: 0.6202, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5287, root_relative_squared_error: 1.1139, scimark_benchmark: 1321.6263, 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: 854.5188, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5478, f_measure: 0.516, kappa: -0.0734, kb_relative_information_score: -7.9615, mean_absolute_error: 0.4436, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.484, predictive_accuracy: 0.604, prior_entropy: 0.9279, recall: 0.604, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4792, root_relative_squared_error: 1.0096, scimark_benchmark: 1334.3805, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5646, f_measure: 0.506, kappa: -0.0974, kb_relative_information_score: -2.6705, mean_absolute_error: 0.4408, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4651, predictive_accuracy: 0.594, prior_entropy: 0.9279, recall: 0.594, relative_absolute_error: 0.9779, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0017, scimark_benchmark: 1345.5136, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5469, f_measure: 0.5042, kappa: -0.0677, kb_relative_information_score: -12.6825, mean_absolute_error: 0.4466, 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: 0.9909, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4782, root_relative_squared_error: 1.0075, scimark_benchmark: 1293.1919, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5452, f_measure: 0.5017, kappa: -0.077, kb_relative_information_score: -13.7178, 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: 1263.2205, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5172, f_measure: 0.5213, kb_relative_information_score: -1.4293, mean_absolute_error: 0.4501, 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: 0.9985, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4745, root_relative_squared_error: 0.9997, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.6311, kappa: 0.1825, kb_relative_information_score: 57.9308, mean_absolute_error: 0.4002, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7148, predictive_accuracy: 0.6988, prior_entropy: 0.9279, recall: 0.6988, relative_absolute_error: 0.888, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.9281, scimark_benchmark: 899.5042, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6757, f_measure: 0.7005, kappa: 0.3446, kb_relative_information_score: 176.6739, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7057, predictive_accuracy: 0.6972, prior_entropy: 0.9279, recall: 0.6972, relative_absolute_error: 0.6756, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5511, root_relative_squared_error: 1.161, scimark_benchmark: 1321.7236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.9566, kappa: 0.9033, kb_relative_information_score: 515.5012, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9566, predictive_accuracy: 0.9567, prior_entropy: 0.9279, recall: 0.9567, relative_absolute_error: 0.1468, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.425, scimark_benchmark: 918.6005, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, 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: 1329.0992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5444, f_measure: 0.5522, kappa: 0.0654, kb_relative_information_score: -107.645, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5811, predictive_accuracy: 0.5408, prior_entropy: 0.9279, recall: 0.5408, relative_absolute_error: 1.1064, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.0511, scimark_benchmark: 1367.8403,
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: 1323.237, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7369, f_measure: 0.6487, kappa: 0.2292, kb_relative_information_score: 59.4056, mean_absolute_error: 0.405, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8039, predictive_accuracy: 0.7205, prior_entropy: 0.9279, recall: 0.7205, relative_absolute_error: 0.8987, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.9201, scimark_benchmark: 1334.9657, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5446, 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: 986.8456,
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: 1319.9329,
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: 1350.9691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.749, kappa: 0.4318, kb_relative_information_score: 226.1753, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7499, predictive_accuracy: 0.7571, prior_entropy: 0.9279, recall: 0.7571, relative_absolute_error: 0.6043, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.9125, scimark_benchmark: 1327.9952, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6574, f_measure: 0.5189, kappa: -0.0266, kb_relative_information_score: 24.135, mean_absolute_error: 0.4273, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4778, predictive_accuracy: 0.6406, prior_entropy: 0.9279, recall: 0.6406, relative_absolute_error: 0.9481, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4588, root_relative_squared_error: 0.9666, scimark_benchmark: 1318.5627,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, f_measure: 0.6858, kappa: 0.313, kb_relative_information_score: 134.0356, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6914, predictive_accuracy: 0.6822, prior_entropy: 0.9279, recall: 0.6822, relative_absolute_error: 0.7571, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.8862, scimark_benchmark: 942.9708, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5446, f_measure: 0.5059, kappa: -0.0614, kb_relative_information_score: -13.0727, mean_absolute_error: 0.4473, 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: 0.9925, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4782, root_relative_squared_error: 1.0074, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6114, f_measure: 0.5432, kappa: -0.0034, kb_relative_information_score: 22.3051, mean_absolute_error: 0.4236, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5458, predictive_accuracy: 0.6356, prior_entropy: 0.9279, recall: 0.6356, relative_absolute_error: 0.9398, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4725, root_relative_squared_error: 0.9955, scimark_benchmark: 1354.3488, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
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: 1352.4005, usercpu_time_millis: 140, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 70,
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: 1344.09, usercpu_time_millis: 130, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 50,
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: 1331.1032, usercpu_time_millis: 130, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, f_measure: 0.6858, kappa: 0.313, kb_relative_information_score: 134.0356, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6914, predictive_accuracy: 0.6822, prior_entropy: 0.9279, recall: 0.6822, relative_absolute_error: 0.7571, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.8862, scimark_benchmark: 1357.7543, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6574, f_measure: 0.5189, kappa: -0.0266, kb_relative_information_score: 24.135, mean_absolute_error: 0.4273, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4778, predictive_accuracy: 0.6406, prior_entropy: 0.9279, recall: 0.6406, relative_absolute_error: 0.9481, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4588, root_relative_squared_error: 0.9666, scimark_benchmark: 1360.6367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6574, f_measure: 0.5189, kappa: -0.0266, kb_relative_information_score: 24.135, mean_absolute_error: 0.4273, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4778, predictive_accuracy: 0.6406, prior_entropy: 0.9279, recall: 0.6406, relative_absolute_error: 0.9481, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4588, root_relative_squared_error: 0.9666, scimark_benchmark: 1337.797,
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: 1348.1311, usercpu_time_millis: 120, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6464, f_measure: 0.6396, kappa: 0.1898, kb_relative_information_score: 18.6767, mean_absolute_error: 0.4231, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6809, predictive_accuracy: 0.6922, prior_entropy: 0.9279, recall: 0.6922, relative_absolute_error: 0.9388, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.449, root_relative_squared_error: 0.9459, scimark_benchmark: 1364.991,
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: 1299.7465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, f_measure: 0.6858, kappa: 0.313, kb_relative_information_score: 134.0356, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6914, predictive_accuracy: 0.6822, prior_entropy: 0.9279, recall: 0.6822, relative_absolute_error: 0.7571, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.8862, scimark_benchmark: 1339.6197, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6114, f_measure: 0.5432, kappa: -0.0034, kb_relative_information_score: 22.3051, mean_absolute_error: 0.4236, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5458, predictive_accuracy: 0.6356, prior_entropy: 0.9279, recall: 0.6356, relative_absolute_error: 0.9398, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4725, root_relative_squared_error: 0.9955, scimark_benchmark: 1303.5632, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5744, f_measure: 0.5379, kappa: -0.041, kb_relative_information_score: 2.6299, mean_absolute_error: 0.4371, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5221, predictive_accuracy: 0.6023, prior_entropy: 0.9279, recall: 0.6023, relative_absolute_error: 0.9697, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.479, root_relative_squared_error: 1.0093, scimark_benchmark: 1337.7902, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6574, f_measure: 0.5189, kappa: -0.0266, kb_relative_information_score: 24.135, mean_absolute_error: 0.4273, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4778, predictive_accuracy: 0.6406, prior_entropy: 0.9279, recall: 0.6406, relative_absolute_error: 0.9481, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4588, root_relative_squared_error: 0.9666, scimark_benchmark: 1292.1745,
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: 1335.2021, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.6311, kappa: 0.1825, kb_relative_information_score: 57.9308, mean_absolute_error: 0.4002, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7148, predictive_accuracy: 0.6988, prior_entropy: 0.9279, recall: 0.6988, relative_absolute_error: 0.888, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.9281, scimark_benchmark: 1322.3407, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4549, f_measure: 0.5213, kb_relative_information_score: -24.0337, mean_absolute_error: 0.4597, 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: 1.0199, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0074, scimark_benchmark: 1321.4771, usercpu_time_millis: 170, usercpu_time_millis_testing: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, f_measure: 0.6858, kappa: 0.313, kb_relative_information_score: 134.0356, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6914, predictive_accuracy: 0.6822, prior_entropy: 0.9279, recall: 0.6822, relative_absolute_error: 0.7571, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.8862, scimark_benchmark: 1336.5541, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6114, f_measure: 0.5432, kappa: -0.0034, kb_relative_information_score: 22.3051, mean_absolute_error: 0.4236, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5458, predictive_accuracy: 0.6356, prior_entropy: 0.9279, recall: 0.6356, relative_absolute_error: 0.9398, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4725, root_relative_squared_error: 0.9955, scimark_benchmark: 1342.2845, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.7635, kappa: 0.4624, kb_relative_information_score: 138.624, mean_absolute_error: 0.3547, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8069, predictive_accuracy: 0.787, prior_entropy: 0.9279, recall: 0.787, relative_absolute_error: 0.787, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.8413, scimark_benchmark: 1325.8468, usercpu_time_millis: 1110, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 1050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6574, f_measure: 0.5189, kappa: -0.0266, kb_relative_information_score: 24.135, mean_absolute_error: 0.4273, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4778, predictive_accuracy: 0.6406, prior_entropy: 0.9279, recall: 0.6406, relative_absolute_error: 0.9481, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4588, root_relative_squared_error: 0.9666, scimark_benchmark: 1337.3324,

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