OpenML
Supervised Classification on tae

Supervised Classification on tae

Task 47 Supervised Classification tae 940 runs submitted
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  • basic study_1 study_107 study_123 study_41 study_50 study_7 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5587, f_measure: 0.3761, kappa: 0.1691, kb_relative_information_score: 18.8808, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3888, predictive_accuracy: 0.4437, prior_entropy: 1.5845, recall: 0.4437, relative_absolute_error: 0.9363, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9749, scimark_benchmark: 1333.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5587, f_measure: 0.3761, kappa: 0.1691, kb_relative_information_score: 18.8808, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3888, predictive_accuracy: 0.4437, prior_entropy: 1.5845, recall: 0.4437, relative_absolute_error: 0.9363, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9749, scimark_benchmark: 1333.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5587, f_measure: 0.3761, kappa: 0.1691, kb_relative_information_score: 18.8808, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3888, predictive_accuracy: 0.4437, prior_entropy: 1.5845, recall: 0.4437, relative_absolute_error: 0.9363, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9749, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5521, f_measure: 0.3776, kappa: 0.2091, kb_relative_information_score: 19.4258, mean_absolute_error: 0.4152, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3484, predictive_accuracy: 0.4702, prior_entropy: 1.5845, recall: 0.4702, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9787, scimark_benchmark: 1340.5125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6475, f_measure: 0.5295, kappa: 0.2949, kb_relative_information_score: 53.7921, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5311, predictive_accuracy: 0.5298, prior_entropy: 1.5845, recall: 0.5298, relative_absolute_error: 0.7055, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5599, root_relative_squared_error: 1.1879, scimark_benchmark: 1310.6554, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5587, f_measure: 0.3761, kappa: 0.1691, kb_relative_information_score: 18.8808, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3888, predictive_accuracy: 0.4437, prior_entropy: 1.5845, recall: 0.4437, relative_absolute_error: 0.9363, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9749, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5587, f_measure: 0.3761, kappa: 0.1691, kb_relative_information_score: 18.8808, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3888, predictive_accuracy: 0.4437, prior_entropy: 1.5845, recall: 0.4437, relative_absolute_error: 0.9363, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9749, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6147, f_measure: 0.5375, kappa: 0.3058, kb_relative_information_score: 29.921, mean_absolute_error: 0.3933, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5513, predictive_accuracy: 0.5364, prior_entropy: 1.5845, recall: 0.5364, relative_absolute_error: 0.8853, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4624, root_relative_squared_error: 0.981, scimark_benchmark: 1347.6543, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6475, f_measure: 0.5295, kappa: 0.2949, kb_relative_information_score: 53.7921, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5311, predictive_accuracy: 0.5298, prior_entropy: 1.5845, recall: 0.5298, relative_absolute_error: 0.7055, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5599, root_relative_squared_error: 1.1879, scimark_benchmark: 1310.6554, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5643, f_measure: 0.3761, kappa: 0.1691, kb_relative_information_score: 18.8579, mean_absolute_error: 0.4156, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3888, predictive_accuracy: 0.4437, prior_entropy: 1.5845, recall: 0.4437, relative_absolute_error: 0.9353, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.9763, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5587, f_measure: 0.3761, kappa: 0.1691, kb_relative_information_score: 18.8808, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3888, predictive_accuracy: 0.4437, prior_entropy: 1.5845, recall: 0.4437, relative_absolute_error: 0.9363, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9749, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5587, f_measure: 0.3761, kappa: 0.1691, kb_relative_information_score: 18.8808, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3888, predictive_accuracy: 0.4437, prior_entropy: 1.5845, recall: 0.4437, relative_absolute_error: 0.9363, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9749, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5587, f_measure: 0.3761, kappa: 0.1691, kb_relative_information_score: 18.8808, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3888, predictive_accuracy: 0.4437, prior_entropy: 1.5845, recall: 0.4437, relative_absolute_error: 0.9363, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9749, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7228, f_measure: 0.5801, kappa: 0.375, kb_relative_information_score: 37.0253, mean_absolute_error: 0.3717, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5835, predictive_accuracy: 0.5828, prior_entropy: 1.5845, recall: 0.5828, relative_absolute_error: 0.8367, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.9311, scimark_benchmark: 1337.9552, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6475, f_measure: 0.5295, kappa: 0.2949, kb_relative_information_score: 53.7921, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5311, predictive_accuracy: 0.5298, prior_entropy: 1.5845, recall: 0.5298, relative_absolute_error: 0.7055, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5599, root_relative_squared_error: 1.1879, scimark_benchmark: 1327.3335, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5643, f_measure: 0.3761, kappa: 0.1691, kb_relative_information_score: 18.8579, mean_absolute_error: 0.4156, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3888, predictive_accuracy: 0.4437, prior_entropy: 1.5845, recall: 0.4437, relative_absolute_error: 0.9353, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.9763, scimark_benchmark: 1325.4787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5587, f_measure: 0.3761, kappa: 0.1691, kb_relative_information_score: 18.8808, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3888, predictive_accuracy: 0.4437, prior_entropy: 1.5845, recall: 0.4437, relative_absolute_error: 0.9363, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9749, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5587, f_measure: 0.3761, kappa: 0.1691, kb_relative_information_score: 18.8808, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3888, predictive_accuracy: 0.4437, prior_entropy: 1.5845, recall: 0.4437, relative_absolute_error: 0.9363, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9749, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7228, f_measure: 0.5801, kappa: 0.375, kb_relative_information_score: 37.0253, mean_absolute_error: 0.3717, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5835, predictive_accuracy: 0.5828, prior_entropy: 1.5845, recall: 0.5828, relative_absolute_error: 0.8367, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.9311, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5587, f_measure: 0.3761, kappa: 0.1691, kb_relative_information_score: 18.8808, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3888, predictive_accuracy: 0.4437, prior_entropy: 1.5845, recall: 0.4437, relative_absolute_error: 0.9363, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9749, scimark_benchmark: 1317.6232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6147, f_measure: 0.5375, kappa: 0.3058, kb_relative_information_score: 29.921, mean_absolute_error: 0.3933, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5513, predictive_accuracy: 0.5364, prior_entropy: 1.5845, recall: 0.5364, relative_absolute_error: 0.8853, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4624, root_relative_squared_error: 0.981, scimark_benchmark: 1335.3312, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, f_measure: 0.6749, kappa: 0.513, kb_relative_information_score: 65.1261, mean_absolute_error: 0.2909, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6747, predictive_accuracy: 0.6755, prior_entropy: 1.5845, recall: 0.6755, relative_absolute_error: 0.6546, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.8378, scimark_benchmark: 1323.5075, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6734, f_measure: 0.5487, kappa: 0.3256, kb_relative_information_score: 38.7066, mean_absolute_error: 0.3671, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5552, predictive_accuracy: 0.5497, prior_entropy: 1.5845, recall: 0.5497, relative_absolute_error: 0.8263, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4586, root_relative_squared_error: 0.973, scimark_benchmark: 1313.8988, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6475, f_measure: 0.5295, kappa: 0.2949, kb_relative_information_score: 53.7921, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5311, predictive_accuracy: 0.5298, prior_entropy: 1.5845, recall: 0.5298, relative_absolute_error: 0.7055, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5599, root_relative_squared_error: 1.1879, scimark_benchmark: 1313.5633, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6475, f_measure: 0.5295, kappa: 0.2949, kb_relative_information_score: 53.7921, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5311, predictive_accuracy: 0.5298, prior_entropy: 1.5845, recall: 0.5298, relative_absolute_error: 0.7055, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5599, root_relative_squared_error: 1.1879, scimark_benchmark: 1334.9442, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5587, f_measure: 0.3761, kappa: 0.1691, kb_relative_information_score: 18.8808, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3888, predictive_accuracy: 0.4437, prior_entropy: 1.5845, recall: 0.4437, relative_absolute_error: 0.9363, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9749, scimark_benchmark: 1338.6409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, f_measure: 0.6749, kappa: 0.513, kb_relative_information_score: 65.1261, mean_absolute_error: 0.2909, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6747, predictive_accuracy: 0.6755, prior_entropy: 1.5845, recall: 0.6755, relative_absolute_error: 0.6546, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.8378, scimark_benchmark: 1397.3209, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6475, f_measure: 0.5295, kappa: 0.2949, kb_relative_information_score: 53.7921, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5311, predictive_accuracy: 0.5298, prior_entropy: 1.5845, recall: 0.5298, relative_absolute_error: 0.7055, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5599, root_relative_squared_error: 1.1879, scimark_benchmark: 1236.6943, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5587, f_measure: 0.3761, kappa: 0.1691, kb_relative_information_score: 18.8808, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3888, predictive_accuracy: 0.4437, prior_entropy: 1.5845, recall: 0.4437, relative_absolute_error: 0.9363, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9749, scimark_benchmark: 1260.1387, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5587, f_measure: 0.3761, kappa: 0.1691, kb_relative_information_score: 18.8808, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3888, predictive_accuracy: 0.4437, prior_entropy: 1.5845, recall: 0.4437, relative_absolute_error: 0.9363, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9749, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6475, f_measure: 0.5295, kappa: 0.2949, kb_relative_information_score: 53.7921, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5311, predictive_accuracy: 0.5298, prior_entropy: 1.5845, recall: 0.5298, relative_absolute_error: 0.7055, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5599, root_relative_squared_error: 1.1879, scimark_benchmark: 938.0414, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5643, f_measure: 0.3761, kappa: 0.1691, kb_relative_information_score: 18.8579, mean_absolute_error: 0.4156, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3888, predictive_accuracy: 0.4437, prior_entropy: 1.5845, recall: 0.4437, relative_absolute_error: 0.9353, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.9763, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, f_measure: 0.6749, kappa: 0.513, kb_relative_information_score: 65.1261, mean_absolute_error: 0.2909, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6747, predictive_accuracy: 0.6755, prior_entropy: 1.5845, recall: 0.6755, relative_absolute_error: 0.6546, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.8378, scimark_benchmark: 1322.7257, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5521, f_measure: 0.3776, kappa: 0.2091, kb_relative_information_score: 19.4258, mean_absolute_error: 0.4152, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3484, predictive_accuracy: 0.4702, prior_entropy: 1.5845, recall: 0.4702, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9787, scimark_benchmark: 1384.4422,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5521, f_measure: 0.3776, kappa: 0.2091, kb_relative_information_score: 19.4258, mean_absolute_error: 0.4152, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3484, predictive_accuracy: 0.4702, prior_entropy: 1.5845, recall: 0.4702, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9787, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5643, f_measure: 0.3761, kappa: 0.1691, kb_relative_information_score: 18.8579, mean_absolute_error: 0.4156, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3888, predictive_accuracy: 0.4437, prior_entropy: 1.5845, recall: 0.4437, relative_absolute_error: 0.9353, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.9763, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6163, f_measure: 0.4791, kappa: 0.2367, kb_relative_information_score: 22.2052, mean_absolute_error: 0.4105, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4917, predictive_accuracy: 0.4901, prior_entropy: 1.5845, recall: 0.4901, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9834, scimark_benchmark: 1313.5052, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.5359, kappa: 0.3042, kb_relative_information_score: 35.029, mean_absolute_error: 0.3743, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5357, predictive_accuracy: 0.5364, prior_entropy: 1.5845, recall: 0.5364, relative_absolute_error: 0.8425, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.9494, scimark_benchmark: 1308.3503, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.5721, kappa: 0.3643, kb_relative_information_score: 35.9476, mean_absolute_error: 0.3751, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5717, predictive_accuracy: 0.5762, prior_entropy: 1.5845, recall: 0.5762, relative_absolute_error: 0.8442, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.9169, scimark_benchmark: 1372.5518, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7228, f_measure: 0.5801, kappa: 0.375, kb_relative_information_score: 37.0253, mean_absolute_error: 0.3717, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5835, predictive_accuracy: 0.5828, prior_entropy: 1.5845, recall: 0.5828, relative_absolute_error: 0.8367, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.9311, scimark_benchmark: 1341.8761, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6205, f_measure: 0.4656, kappa: 0.2661, kb_relative_information_score: 6.1077, mean_absolute_error: 0.4389, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5157, predictive_accuracy: 0.5099, prior_entropy: 1.5845, recall: 0.5099, relative_absolute_error: 0.9878, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0007, scimark_benchmark: 916.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4861, f_measure: 0.1764, kb_relative_information_score: 0.098, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.1186, predictive_accuracy: 0.3444, prior_entropy: 1.5845, recall: 0.3444, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.0002, scimark_benchmark: 912.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.508, f_measure: 0.3261, kappa: -0.003, kb_relative_information_score: 8.6823, mean_absolute_error: 0.4371, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3313, predictive_accuracy: 0.3311, prior_entropy: 1.5845, recall: 0.3311, relative_absolute_error: 0.9837, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.482, root_relative_squared_error: 1.0226, scimark_benchmark: 937.1527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6391, f_measure: 0.5265, kappa: 0.2964, kb_relative_information_score: 27.9433, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5387, predictive_accuracy: 0.5298, prior_entropy: 1.5845, recall: 0.5298, relative_absolute_error: 0.8977, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.9841, scimark_benchmark: 1307.4861, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6241, f_measure: 0.408, kappa: 0.1218, kb_relative_information_score: 36.2939, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.445, predictive_accuracy: 0.4172, prior_entropy: 1.5845, recall: 0.4172, relative_absolute_error: 0.8162, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5483, root_relative_squared_error: 1.1632, scimark_benchmark: 899.5042, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7033, f_measure: 0.5161, kappa: 0.2742, kb_relative_information_score: 25.4948, mean_absolute_error: 0.3996, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.517, predictive_accuracy: 0.5166, prior_entropy: 1.5845, recall: 0.5166, relative_absolute_error: 0.8993, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.9394, scimark_benchmark: 938.9967, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.4963, kappa: 0.2446, kb_relative_information_score: 25.8511, mean_absolute_error: 0.3989, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4963, predictive_accuracy: 0.4967, prior_entropy: 1.5845, recall: 0.4967, relative_absolute_error: 0.8977, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4438, root_relative_squared_error: 0.9416, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7751, f_measure: 0.623, kappa: 0.4338, kb_relative_information_score: 62.1358, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.6243, predictive_accuracy: 0.6225, prior_entropy: 1.5845, recall: 0.6225, relative_absolute_error: 0.6598, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.9155, scimark_benchmark: 1299.5783, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7295, f_measure: 0.5807, kappa: 0.3742, kb_relative_information_score: 35.8655, mean_absolute_error: 0.3752, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.5813, predictive_accuracy: 0.5828, prior_entropy: 1.5845, recall: 0.5828, relative_absolute_error: 0.8444, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.9241, scimark_benchmark: 933.3136, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5743, f_measure: 0.3952, kappa: 0.1687, kb_relative_information_score: 20.3206, mean_absolute_error: 0.4125, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4249, predictive_accuracy: 0.4437, prior_entropy: 1.5845, recall: 0.4437, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.467, root_relative_squared_error: 0.9908, scimark_benchmark: 869.6028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5349, f_measure: 0.3671, kappa: 0.0668, kb_relative_information_score: 15.359, mean_absolute_error: 0.4269, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3635, predictive_accuracy: 0.3775, prior_entropy: 1.5845, recall: 0.3775, relative_absolute_error: 0.9608, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9903, scimark_benchmark: 1325.2092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5349, f_measure: 0.3671, kappa: 0.0668, kb_relative_information_score: 15.359, mean_absolute_error: 0.4269, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3635, predictive_accuracy: 0.3775, prior_entropy: 1.5845, recall: 0.3775, relative_absolute_error: 0.9608, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9903, scimark_benchmark: 1280.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5349, f_measure: 0.3671, kappa: 0.0668, kb_relative_information_score: 15.359, mean_absolute_error: 0.4269, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3635, predictive_accuracy: 0.3775, prior_entropy: 1.5845, recall: 0.3775, relative_absolute_error: 0.9608, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9903, scimark_benchmark: 1304.9611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5349, f_measure: 0.3671, kappa: 0.0668, kb_relative_information_score: 15.359, mean_absolute_error: 0.4269, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3635, predictive_accuracy: 0.3775, prior_entropy: 1.5845, recall: 0.3775, relative_absolute_error: 0.9608, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9903, scimark_benchmark: 889.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5349, f_measure: 0.3671, kappa: 0.0668, kb_relative_information_score: 15.359, mean_absolute_error: 0.4269, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.3635, predictive_accuracy: 0.3775, prior_entropy: 1.5845, recall: 0.3775, relative_absolute_error: 0.9608, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9903, scimark_benchmark: 915.9324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.491, kappa: 0.2347, kb_relative_information_score: 39.1588, mean_absolute_error: 0.3651, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4926, predictive_accuracy: 0.4901, prior_entropy: 1.5845, recall: 0.4901, relative_absolute_error: 0.8217, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4629, root_relative_squared_error: 0.982, scimark_benchmark: 916.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7042, f_measure: 0.4726, kappa: 0.2152, kb_relative_information_score: 46.8507, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.4747, predictive_accuracy: 0.4768, prior_entropy: 1.5845, recall: 0.4768, relative_absolute_error: 0.7469, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9862, scimark_benchmark: 882.7843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, f_measure: 0.1764, kb_relative_information_score: 13.7521, mean_absolute_error: 0.4415, mean_prior_absolute_error: 0.4443, number_of_instances: 151, precision: 0.1186, predictive_accuracy: 0.3444, prior_entropy: 1.5845, recall: 0.3444, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.4713, root_mean_squared_error: 0.5416, root_relative_squared_error: 1.1491, scimark_benchmark: 1313.9994, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs