OpenML
Supervised Classification on meta

Supervised Classification on meta

Task 3623 Supervised Classification meta 472 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8493, kb_relative_information_score: 138.0638, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.5534, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3198, root_relative_squared_error: 1.0554, scimark_benchmark: 1351.1238, usercpu_time_millis: 210, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.8965, kappa: 0.42, kb_relative_information_score: -1.4804, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.894, predictive_accuracy: 0.8996, prior_entropy: 0.4808, recall: 0.8996, relative_absolute_error: 0.7043, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.272, root_relative_squared_error: 0.8975, scimark_benchmark: 1343.3311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8493, kb_relative_information_score: 138.0638, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.5534, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3198, root_relative_squared_error: 1.0554, scimark_benchmark: 1360.6367, usercpu_time_millis: 210, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.8965, kappa: 0.42, kb_relative_information_score: -1.4804, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.894, predictive_accuracy: 0.8996, prior_entropy: 0.4808, recall: 0.8996, relative_absolute_error: 0.7043, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.272, root_relative_squared_error: 0.8975, scimark_benchmark: 1354.3488, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.8965, kappa: 0.42, kb_relative_information_score: -1.4804, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.894, predictive_accuracy: 0.8996, prior_entropy: 0.4808, recall: 0.8996, relative_absolute_error: 0.7043, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.272, root_relative_squared_error: 0.8975, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8736, kappa: 0.1774, kb_relative_information_score: -4.9409, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9027, predictive_accuracy: 0.9072, prior_entropy: 0.4808, recall: 0.9072, relative_absolute_error: 0.7699, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.253, root_relative_squared_error: 0.835, scimark_benchmark: 1326.8946, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.8895, kappa: 0.3039, kb_relative_information_score: -109.8441, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8961, predictive_accuracy: 0.911, prior_entropy: 0.4808, recall: 0.911, relative_absolute_error: 0.8482, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2601, root_relative_squared_error: 0.8584, scimark_benchmark: 1371.9645, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.8965, kappa: 0.42, kb_relative_information_score: -1.4804, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.894, predictive_accuracy: 0.8996, prior_entropy: 0.4808, recall: 0.8996, relative_absolute_error: 0.7043, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.272, root_relative_squared_error: 0.8975, scimark_benchmark: 932.5646, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.9092, kappa: 0.4451, kb_relative_information_score: 139.959, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.913, predictive_accuracy: 0.9223, prior_entropy: 0.4808, recall: 0.9223, relative_absolute_error: 0.5658, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2474, root_relative_squared_error: 0.8165, scimark_benchmark: 1347.5461, usercpu_time_millis: 830, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7807, f_measure: 0.8931, kappa: 0.4128, kb_relative_information_score: 106.0422, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8922, predictive_accuracy: 0.8939, prior_entropy: 0.4808, recall: 0.8939, relative_absolute_error: 0.5818, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.9865, scimark_benchmark: 1350.2369, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.7948, kappa: 0.2695, kb_relative_information_score: -438.1612, mean_absolute_error: 0.2462, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.892, predictive_accuracy: 0.7481, prior_entropy: 0.4808, recall: 0.7481, relative_absolute_error: 1.332, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.4766, root_relative_squared_error: 1.573, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.8965, kappa: 0.42, kb_relative_information_score: -1.4804, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.894, predictive_accuracy: 0.8996, prior_entropy: 0.4808, recall: 0.8996, relative_absolute_error: 0.7043, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.272, root_relative_squared_error: 0.8975, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.8965, kappa: 0.42, kb_relative_information_score: -1.4804, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.894, predictive_accuracy: 0.8996, prior_entropy: 0.4808, recall: 0.8996, relative_absolute_error: 0.7043, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.272, root_relative_squared_error: 0.8975, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.7948, kappa: 0.2695, kb_relative_information_score: -438.1612, mean_absolute_error: 0.2462, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.892, predictive_accuracy: 0.7481, prior_entropy: 0.4808, recall: 0.7481, relative_absolute_error: 1.332, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.4766, root_relative_squared_error: 1.573, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.8965, kappa: 0.42, kb_relative_information_score: -1.4804, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.894, predictive_accuracy: 0.8996, prior_entropy: 0.4808, recall: 0.8996, relative_absolute_error: 0.7043, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.272, root_relative_squared_error: 0.8975, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.8965, kappa: 0.42, kb_relative_information_score: -1.4804, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.894, predictive_accuracy: 0.8996, prior_entropy: 0.4808, recall: 0.8996, relative_absolute_error: 0.7043, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.272, root_relative_squared_error: 0.8975, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7206, f_measure: 0.9168, kappa: 0.5375, kb_relative_information_score: 181.4529, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9154, predictive_accuracy: 0.9186, prior_entropy: 0.4808, recall: 0.9186, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.8765, scimark_benchmark: 1315.933, usercpu_time_millis: 280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4753, f_measure: 0.8493, kb_relative_information_score: 2.0798, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.303, root_relative_squared_error: 1.0001, scimark_benchmark: 1329.8902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.8965, kappa: 0.42, kb_relative_information_score: -1.4804, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.894, predictive_accuracy: 0.8996, prior_entropy: 0.4808, recall: 0.8996, relative_absolute_error: 0.7043, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.272, root_relative_squared_error: 0.8975, scimark_benchmark: 1380.2233, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.8895, kappa: 0.3039, kb_relative_information_score: -109.8441, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8961, predictive_accuracy: 0.911, prior_entropy: 0.4808, recall: 0.911, relative_absolute_error: 0.8482, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2601, root_relative_squared_error: 0.8584, scimark_benchmark: 1345.3152, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6414, f_measure: 0.8725, kappa: 0.2234, kb_relative_information_score: 29.129, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8641, predictive_accuracy: 0.8902, prior_entropy: 0.4808, recall: 0.8902, relative_absolute_error: 0.775, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3171, root_relative_squared_error: 1.0464, scimark_benchmark: 1350.073, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.9027, kappa: 0.4211, kb_relative_information_score: 67.0059, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9001, predictive_accuracy: 0.9129, prior_entropy: 0.4808, recall: 0.9129, relative_absolute_error: 0.6602, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2564, root_relative_squared_error: 0.8463, scimark_benchmark: 916.6405, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.8529, kappa: 0.0286, kb_relative_information_score: -31.8214, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8584, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.8374, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2688, root_relative_squared_error: 0.887, scimark_benchmark: 854.5188, usercpu_time_millis: 280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.9027, kappa: 0.4211, kb_relative_information_score: 67.0059, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9001, predictive_accuracy: 0.9129, prior_entropy: 0.4808, recall: 0.9129, relative_absolute_error: 0.6602, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2564, root_relative_squared_error: 0.8463, scimark_benchmark: 833.3193, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, f_measure: 0.866, kappa: 0.1991, kb_relative_information_score: 71.5692, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8563, predictive_accuracy: 0.8807, prior_entropy: 0.4808, recall: 0.8807, relative_absolute_error: 0.6476, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3165, root_relative_squared_error: 1.0446, scimark_benchmark: 1325.3444, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.9043, kappa: 0.4279, kb_relative_information_score: 30.9031, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9023, predictive_accuracy: 0.9148, prior_entropy: 0.4808, recall: 0.9148, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2673, root_relative_squared_error: 0.8823, scimark_benchmark: 1341.4232, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4753, f_measure: 0.8493, kb_relative_information_score: 2.0798, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.303, root_relative_squared_error: 1.0001, scimark_benchmark: 1371.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.8895, kappa: 0.3039, kb_relative_information_score: -109.8441, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8961, predictive_accuracy: 0.911, prior_entropy: 0.4808, recall: 0.911, relative_absolute_error: 0.8482, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2601, root_relative_squared_error: 0.8584, scimark_benchmark: 1334.2049, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7218, f_measure: 0.9089, kappa: 0.4831, kb_relative_information_score: 195.0727, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9062, predictive_accuracy: 0.9129, prior_entropy: 0.4808, recall: 0.9129, relative_absolute_error: 0.4714, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2952, root_relative_squared_error: 0.9741, scimark_benchmark: 1322.4968, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.8965, kappa: 0.42, kb_relative_information_score: -1.4804, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.894, predictive_accuracy: 0.8996, prior_entropy: 0.4808, recall: 0.8996, relative_absolute_error: 0.7043, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.272, root_relative_squared_error: 0.8975, scimark_benchmark: 1316.5986, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5241, f_measure: 0.8461, kappa: 0.0627, kb_relative_information_score: 24.046, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8298, predictive_accuracy: 0.8674, prior_entropy: 0.4808, recall: 0.8674, relative_absolute_error: 0.7173, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3641, root_relative_squared_error: 1.2016, scimark_benchmark: 1311.9814, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, f_measure: 0.9089, kappa: 0.4831, kb_relative_information_score: 88.9427, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9062, predictive_accuracy: 0.9129, prior_entropy: 0.4808, recall: 0.9129, relative_absolute_error: 0.5941, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.9, scimark_benchmark: 1268.9931, usercpu_time_millis: 810, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7761, f_measure: 0.8509, kappa: 0.0207, kb_relative_information_score: -120.4789, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8325, predictive_accuracy: 0.8939, prior_entropy: 0.4808, recall: 0.8939, relative_absolute_error: 0.8846, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.288, root_relative_squared_error: 0.9503, scimark_benchmark: 932.0242, usercpu_time_millis: 1020, usercpu_time_millis_testing: 1020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7649, f_measure: 0.8493, kb_relative_information_score: -86.234, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.8568, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.9449, scimark_benchmark: 1319.4881, usercpu_time_millis: 1830, usercpu_time_millis_testing: 1830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5774, f_measure: 0.8534, kappa: 0.1685, kb_relative_information_score: -4.4585, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8477, predictive_accuracy: 0.8598, prior_entropy: 0.4808, recall: 0.8598, relative_absolute_error: 0.7583, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3744, root_relative_squared_error: 1.2355, scimark_benchmark: 1296.8947, usercpu_time_millis: 100, usercpu_time_millis_testing: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.8871, kappa: 0.3098, kb_relative_information_score: 159.4421, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8836, predictive_accuracy: 0.9034, prior_entropy: 0.4808, recall: 0.9034, relative_absolute_error: 0.5226, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3108, root_relative_squared_error: 1.0257, scimark_benchmark: 1329.8847, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4753, f_measure: 0.8493, kb_relative_information_score: -0.0767, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3031, root_relative_squared_error: 1.0001, scimark_benchmark: 1270.2428,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.9027, kappa: 0.4211, kb_relative_information_score: 67.0059, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9001, predictive_accuracy: 0.9129, prior_entropy: 0.4808, recall: 0.9129, relative_absolute_error: 0.6602, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2564, root_relative_squared_error: 0.8463, scimark_benchmark: 1249.4068, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.8909, kappa: 0.3106, kb_relative_information_score: 59.289, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9008, predictive_accuracy: 0.9129, prior_entropy: 0.4808, recall: 0.9129, relative_absolute_error: 0.6645, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.8528, scimark_benchmark: 882.7843, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.8821, kappa: 0.2446, kb_relative_information_score: 46.4506, mean_absolute_error: 0.1266, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8961, predictive_accuracy: 0.9091, prior_entropy: 0.4808, recall: 0.9091, relative_absolute_error: 0.6852, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.264, root_relative_squared_error: 0.8712, scimark_benchmark: 939.5088, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, f_measure: 0.8711, kappa: 0.1661, kb_relative_information_score: -19.4021, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8829, predictive_accuracy: 0.9034, prior_entropy: 0.4808, recall: 0.9034, relative_absolute_error: 0.7592, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.8993, scimark_benchmark: 1372.2145, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.8493, kb_relative_information_score: -86.3089, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.8568, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.9449, scimark_benchmark: 1363.454, usercpu_time_millis: 90, usercpu_time_millis_testing: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.8493, kb_relative_information_score: -86.3089, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.8568, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.9449, scimark_benchmark: 1304.9611, usercpu_time_millis: 80, usercpu_time_millis_testing: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7165, f_measure: 0.9013, kappa: 0.4515, kb_relative_information_score: 159.4421, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8995, predictive_accuracy: 0.9034, prior_entropy: 0.4808, recall: 0.9034, relative_absolute_error: 0.5226, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3108, root_relative_squared_error: 1.0257, scimark_benchmark: 940.3347, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8493, kb_relative_information_score: 138.0638, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.5534, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3198, root_relative_squared_error: 1.0554, scimark_benchmark: 1333.5799, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.9096, kappa: 0.4642, kb_relative_information_score: 216.451, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9079, predictive_accuracy: 0.9186, prior_entropy: 0.4808, recall: 0.9186, relative_absolute_error: 0.4406, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.9418, scimark_benchmark: 1297.6599, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.9096, kappa: 0.4642, kb_relative_information_score: 52.3078, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9079, predictive_accuracy: 0.9186, prior_entropy: 0.4808, recall: 0.9186, relative_absolute_error: 0.667, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2525, root_relative_squared_error: 0.8334, scimark_benchmark: 1304.9611, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5241, f_measure: 0.8461, kappa: 0.0627, kb_relative_information_score: 24.046, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8298, predictive_accuracy: 0.8674, prior_entropy: 0.4808, recall: 0.8674, relative_absolute_error: 0.7173, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3641, root_relative_squared_error: 1.2016, scimark_benchmark: 942.6843, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.9092, kappa: 0.4451, kb_relative_information_score: 139.959, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.913, predictive_accuracy: 0.9223, prior_entropy: 0.4808, recall: 0.9223, relative_absolute_error: 0.5658, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2474, root_relative_squared_error: 0.8165, scimark_benchmark: 869.6028, usercpu_time_millis: 1590, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 1330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.7948, kappa: 0.2695, kb_relative_information_score: -438.1612, mean_absolute_error: 0.2462, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.892, predictive_accuracy: 0.7481, prior_entropy: 0.4808, recall: 0.7481, relative_absolute_error: 1.332, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.4766, root_relative_squared_error: 1.573, scimark_benchmark: 1325.2092, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7206, f_measure: 0.9168, kappa: 0.5375, kb_relative_information_score: 181.4529, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9154, predictive_accuracy: 0.9186, prior_entropy: 0.4808, recall: 0.9186, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.8765, scimark_benchmark: 1350.9691, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8736, kappa: 0.1774, kb_relative_information_score: -4.9409, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9027, predictive_accuracy: 0.9072, prior_entropy: 0.4808, recall: 0.9072, relative_absolute_error: 0.7699, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.253, root_relative_squared_error: 0.835, scimark_benchmark: 1361.1055, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7602, f_measure: 0.8552, kappa: 0.0789, kb_relative_information_score: -91.0863, mean_absolute_error: 0.1521, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8396, predictive_accuracy: 0.8864, prior_entropy: 0.4808, recall: 0.8864, relative_absolute_error: 0.8232, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3114, root_relative_squared_error: 1.0278, scimark_benchmark: 1333.5799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5252, f_measure: 0.8519, kappa: 0.0246, kb_relative_information_score: 0.6021, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8412, predictive_accuracy: 0.8958, prior_entropy: 0.4808, recall: 0.8958, relative_absolute_error: 0.9765, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3018, root_relative_squared_error: 0.996, scimark_benchmark: 1316.0472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6286, f_measure: 0.8612, kappa: 0.1262, kb_relative_information_score: 11.1438, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8495, predictive_accuracy: 0.8883, prior_entropy: 0.4808, recall: 0.8883, relative_absolute_error: 0.883, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3084, root_relative_squared_error: 1.0177, scimark_benchmark: 1354.2491, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, f_measure: 0.8583, kappa: 0.3122, kb_relative_information_score: -61.4674, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8771, predictive_accuracy: 0.8447, prior_entropy: 0.4808, recall: 0.8447, relative_absolute_error: 0.8403, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3941, root_relative_squared_error: 1.3006, scimark_benchmark: 1320.2556, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5198, f_measure: 0.8032, kappa: 0.0329, kb_relative_information_score: -282.3769, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8227, predictive_accuracy: 0.786, prior_entropy: 0.4808, recall: 0.786, relative_absolute_error: 1.158, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.4626, root_relative_squared_error: 1.5267, scimark_benchmark: 1308.9788, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7613, f_measure: 0.9, kappa: 0.4025, kb_relative_information_score: 67.966, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8972, predictive_accuracy: 0.911, prior_entropy: 0.4808, recall: 0.911, relative_absolute_error: 0.6583, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.8971, scimark_benchmark: 1465.2979, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6006, f_measure: 0.8824, kappa: 0.2727, kb_relative_information_score: 152.316, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.879, predictive_accuracy: 0.9015, prior_entropy: 0.4808, recall: 0.9015, relative_absolute_error: 0.5329, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3138, root_relative_squared_error: 1.0357, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5185, f_measure: 0.8584, kappa: 0.0646, kb_relative_information_score: 152.316, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9113, predictive_accuracy: 0.9015, prior_entropy: 0.4808, recall: 0.9015, relative_absolute_error: 0.5329, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3138, root_relative_squared_error: 1.0357, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4753, f_measure: 0.8493, kb_relative_information_score: -6.6185, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.303, root_relative_squared_error: 1.0001, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4753, f_measure: 0.8493, kb_relative_information_score: 2.0798, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.303, root_relative_squared_error: 1.0001, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.8191, kappa: 0.2944, kb_relative_information_score: -332.7099, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8894, predictive_accuracy: 0.7822, prior_entropy: 0.4808, recall: 0.7822, relative_absolute_error: 1.1631, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.4253, root_relative_squared_error: 1.4036, scimark_benchmark: 931.2336, usercpu_time_millis: 160, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.8768, kappa: 0.3615, kb_relative_information_score: -23.0884, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8836, predictive_accuracy: 0.8712, prior_entropy: 0.4808, recall: 0.8712, relative_absolute_error: 0.7362, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3333, root_relative_squared_error: 1.1, scimark_benchmark: 945.6434, usercpu_time_millis: 240, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 170,

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