OpenML
Supervised Classification on fri_c4_250_25

Supervised Classification on fri_c4_250_25

Task 3796 Supervised Classification fri_c4_250_25 590 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.7834, kappa: 0.5628, kb_relative_information_score: 139.5448, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7837, predictive_accuracy: 0.784, prior_entropy: 0.9945, recall: 0.784, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7255, scimark_benchmark: 1324.2313, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.8403, kappa: 0.6793, kb_relative_information_score: 145.2202, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8423, predictive_accuracy: 0.84, prior_entropy: 0.9945, recall: 0.84, relative_absolute_error: 0.4406, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.7354, scimark_benchmark: 1330.8256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.8323, kappa: 0.6628, kb_relative_information_score: 147.5435, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8335, predictive_accuracy: 0.832, prior_entropy: 0.9945, recall: 0.832, relative_absolute_error: 0.4281, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.7381, scimark_benchmark: 1260.1387, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6431, f_measure: 0.647, kappa: 0.2875, kb_relative_information_score: 72.0269, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6468, predictive_accuracy: 0.648, prior_entropy: 0.9945, recall: 0.648, relative_absolute_error: 0.7095, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5933, root_relative_squared_error: 1.1912, scimark_benchmark: 1321.4771, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6431, f_measure: 0.647, kappa: 0.2875, kb_relative_information_score: 72.0269, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6468, predictive_accuracy: 0.648, prior_entropy: 0.9945, recall: 0.648, relative_absolute_error: 0.7095, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5933, root_relative_squared_error: 1.1912, scimark_benchmark: 1346.9165, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.7834, kappa: 0.5628, kb_relative_information_score: 139.5448, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7837, predictive_accuracy: 0.784, prior_entropy: 0.9945, recall: 0.784, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7255, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.8159, kappa: 0.6286, kb_relative_information_score: 119.3348, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8158, predictive_accuracy: 0.816, prior_entropy: 0.9945, recall: 0.816, relative_absolute_error: 0.5564, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7187, scimark_benchmark: 1347.993, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.7834, kappa: 0.5628, kb_relative_information_score: 139.5448, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7837, predictive_accuracy: 0.784, prior_entropy: 0.9945, recall: 0.784, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7255, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8355, kappa: 0.6678, kb_relative_information_score: 108.078, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8363, predictive_accuracy: 0.836, prior_entropy: 0.9945, recall: 0.836, relative_absolute_error: 0.6109, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7108, scimark_benchmark: 1322.7257, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.7834, kappa: 0.5628, kb_relative_information_score: 139.5448, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7837, predictive_accuracy: 0.784, prior_entropy: 0.9945, recall: 0.784, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7255, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8355, kappa: 0.6678, kb_relative_information_score: 108.078, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8363, predictive_accuracy: 0.836, prior_entropy: 0.9945, recall: 0.836, relative_absolute_error: 0.6109, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7108, 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: 0.8979, f_measure: 0.7834, kappa: 0.5628, kb_relative_information_score: 139.5448, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7837, predictive_accuracy: 0.784, prior_entropy: 0.9945, recall: 0.784, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7255, scimark_benchmark: 1335.5424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, f_measure: 0.6124, kappa: 0.2196, kb_relative_information_score: 42.8168, mean_absolute_error: 0.4158, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6129, predictive_accuracy: 0.612, prior_entropy: 0.9945, recall: 0.612, relative_absolute_error: 0.838, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0096, scimark_benchmark: 1264.9916, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.7832, kappa: 0.5621, kb_relative_information_score: 137.1801, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7839, predictive_accuracy: 0.784, prior_entropy: 0.9945, recall: 0.784, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.7394, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.7834, kappa: 0.5628, kb_relative_information_score: 139.5448, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7837, predictive_accuracy: 0.784, prior_entropy: 0.9945, recall: 0.784, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7255, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.7834, kappa: 0.5628, kb_relative_information_score: 139.5448, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7837, predictive_accuracy: 0.784, prior_entropy: 0.9945, recall: 0.784, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7255, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.7832, kappa: 0.5621, kb_relative_information_score: 137.1801, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7839, predictive_accuracy: 0.784, prior_entropy: 0.9945, recall: 0.784, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.7394, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.7834, kappa: 0.5628, kb_relative_information_score: 139.5448, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7837, predictive_accuracy: 0.784, prior_entropy: 0.9945, recall: 0.784, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7255, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.8403, kappa: 0.6793, kb_relative_information_score: 145.2202, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8423, predictive_accuracy: 0.84, prior_entropy: 0.9945, recall: 0.84, relative_absolute_error: 0.4406, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.7354, scimark_benchmark: 1329.8902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.7832, kappa: 0.5621, kb_relative_information_score: 137.1801, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7839, predictive_accuracy: 0.784, prior_entropy: 0.9945, recall: 0.784, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.7394, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.7834, kappa: 0.5628, kb_relative_information_score: 139.5448, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7837, predictive_accuracy: 0.784, prior_entropy: 0.9945, recall: 0.784, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7255, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.7834, kappa: 0.5628, kb_relative_information_score: 139.5448, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7837, predictive_accuracy: 0.784, prior_entropy: 0.9945, recall: 0.784, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7255, scimark_benchmark: 1380.2233, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8355, kappa: 0.6678, kb_relative_information_score: 108.078, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8363, predictive_accuracy: 0.836, prior_entropy: 0.9945, recall: 0.836, relative_absolute_error: 0.6109, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7108, scimark_benchmark: 1311.9814, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.7832, kappa: 0.5621, kb_relative_information_score: 137.1801, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7839, predictive_accuracy: 0.784, prior_entropy: 0.9945, recall: 0.784, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.7394, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.7834, kappa: 0.5628, kb_relative_information_score: 139.5448, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7837, predictive_accuracy: 0.784, prior_entropy: 0.9945, recall: 0.784, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7255, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.7834, kappa: 0.5628, kb_relative_information_score: 139.5448, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7837, predictive_accuracy: 0.784, prior_entropy: 0.9945, recall: 0.784, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7255, scimark_benchmark: 1335.643, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.7834, kappa: 0.5628, kb_relative_information_score: 139.5448, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7837, predictive_accuracy: 0.784, prior_entropy: 0.9945, recall: 0.784, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7255, scimark_benchmark: 1343.2125, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6667, f_measure: 0.6124, kappa: 0.2196, kb_relative_information_score: 42.8168, mean_absolute_error: 0.4158, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6129, predictive_accuracy: 0.612, prior_entropy: 0.9945, recall: 0.612, relative_absolute_error: 0.838, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5029, root_relative_squared_error: 1.0096, scimark_benchmark: 1312.0581, usercpu_time_millis: 280, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.8241, kappa: 0.6458, kb_relative_information_score: 132.6976, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8243, predictive_accuracy: 0.824, prior_entropy: 0.9945, recall: 0.824, relative_absolute_error: 0.4953, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7145, scimark_benchmark: 915.9324, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.8241, kappa: 0.6458, kb_relative_information_score: 132.6976, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8243, predictive_accuracy: 0.824, prior_entropy: 0.9945, recall: 0.824, relative_absolute_error: 0.4953, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7145, scimark_benchmark: 1337.5749, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.8403, kappa: 0.6793, kb_relative_information_score: 145.2202, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8423, predictive_accuracy: 0.84, prior_entropy: 0.9945, recall: 0.84, relative_absolute_error: 0.4406, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.7354, scimark_benchmark: 1350.2369, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.8148, kappa: 0.6259, kb_relative_information_score: 97.7112, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8174, predictive_accuracy: 0.816, prior_entropy: 0.9945, recall: 0.816, relative_absolute_error: 0.6562, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.7341, scimark_benchmark: 1308.0332, usercpu_time_millis: 280, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.8323, kappa: 0.6628, kb_relative_information_score: 147.5435, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8335, predictive_accuracy: 0.832, prior_entropy: 0.9945, recall: 0.832, relative_absolute_error: 0.4281, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.7381, scimark_benchmark: 1342.1678, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.8323, kappa: 0.6628, kb_relative_information_score: 147.5435, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8335, predictive_accuracy: 0.832, prior_entropy: 0.9945, recall: 0.832, relative_absolute_error: 0.4281, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.7381, scimark_benchmark: 1360.2999, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.8241, kappa: 0.6458, kb_relative_information_score: 132.6976, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8243, predictive_accuracy: 0.824, prior_entropy: 0.9945, recall: 0.824, relative_absolute_error: 0.4953, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7145, scimark_benchmark: 1206.8386, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.8241, kappa: 0.6458, kb_relative_information_score: 132.6976, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8243, predictive_accuracy: 0.824, prior_entropy: 0.9945, recall: 0.824, relative_absolute_error: 0.4953, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7145, scimark_benchmark: 1327.2954, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.8323, kappa: 0.6628, kb_relative_information_score: 147.5435, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8335, predictive_accuracy: 0.832, prior_entropy: 0.9945, recall: 0.832, relative_absolute_error: 0.4281, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.7381, scimark_benchmark: 1318.8785, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7804, kappa: 0.5588, kb_relative_information_score: 117.9577, mean_absolute_error: 0.2718, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.782, predictive_accuracy: 0.78, prior_entropy: 0.9945, recall: 0.78, relative_absolute_error: 0.5479, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8321, scimark_benchmark: 937.6212, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.8194, kappa: 0.6354, kb_relative_information_score: 107.628, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8201, predictive_accuracy: 0.82, prior_entropy: 0.9945, recall: 0.82, relative_absolute_error: 0.6125, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.7245, scimark_benchmark: 1349.7981, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.8278, kappa: 0.6526, kb_relative_information_score: 147.3191, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8278, predictive_accuracy: 0.828, prior_entropy: 0.9945, recall: 0.828, relative_absolute_error: 0.4256, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.7072, scimark_benchmark: 906.4475, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.8556, kappa: 0.7085, kb_relative_information_score: 132.3824, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8562, predictive_accuracy: 0.856, prior_entropy: 0.9945, recall: 0.856, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.6905, scimark_benchmark: 1331.1784, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8041, kappa: 0.6052, kb_relative_information_score: 126.3677, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8042, predictive_accuracy: 0.804, prior_entropy: 0.9945, recall: 0.804, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.338, root_relative_squared_error: 0.6786, scimark_benchmark: 935.5075, usercpu_time_millis: 490, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.8118, kappa: 0.6203, kb_relative_information_score: 124.057, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8118, predictive_accuracy: 0.812, prior_entropy: 0.9945, recall: 0.812, relative_absolute_error: 0.5373, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3423, root_relative_squared_error: 0.6873, scimark_benchmark: 1343.4244, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.8403, kappa: 0.6793, kb_relative_information_score: 145.2202, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8423, predictive_accuracy: 0.84, prior_entropy: 0.9945, recall: 0.84, relative_absolute_error: 0.4406, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.7354, scimark_benchmark: 932.0242, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.647, kappa: 0.2875, kb_relative_information_score: 52.6435, mean_absolute_error: 0.4004, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6468, predictive_accuracy: 0.648, prior_entropy: 0.9945, recall: 0.648, relative_absolute_error: 0.807, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4869, root_relative_squared_error: 0.9775, scimark_benchmark: 918.6005, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7637, f_measure: 0.7397, kappa: 0.4748, kb_relative_information_score: 73.755, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.7396, predictive_accuracy: 0.74, prior_entropy: 0.9945, recall: 0.74, relative_absolute_error: 0.7431, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8797, scimark_benchmark: 918.0213, usercpu_time_millis: 630, usercpu_time_millis_testing: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4748, f_measure: 0.4729, kappa: -0.0051, kb_relative_information_score: -3.9865, mean_absolute_error: 0.5021, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.5009, predictive_accuracy: 0.484, prior_entropy: 0.9945, recall: 0.484, relative_absolute_error: 1.012, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5416, root_relative_squared_error: 1.0874, scimark_benchmark: 906.4475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.8082, kappa: 0.6141, kb_relative_information_score: 135.3976, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8089, predictive_accuracy: 0.808, prior_entropy: 0.9945, recall: 0.808, relative_absolute_error: 0.4795, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8037, scimark_benchmark: 938.0414, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.8241, kappa: 0.6458, kb_relative_information_score: 132.6976, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8243, predictive_accuracy: 0.824, prior_entropy: 0.9945, recall: 0.824, relative_absolute_error: 0.4953, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7145, scimark_benchmark: 912.7324, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6533, f_measure: 0.656, kappa: 0.3066, kb_relative_information_score: 76.0713, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.656, predictive_accuracy: 0.656, prior_entropy: 0.9945, recall: 0.656, relative_absolute_error: 0.6933, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5865, root_relative_squared_error: 1.1776, scimark_benchmark: 912.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6394, f_measure: 0.6205, kappa: 0.2368, kb_relative_information_score: 43.4007, mean_absolute_error: 0.4166, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.6215, predictive_accuracy: 0.62, prior_entropy: 0.9945, recall: 0.62, relative_absolute_error: 0.8397, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5281, root_relative_squared_error: 1.0604, scimark_benchmark: 912.5006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.8241, kappa: 0.6458, kb_relative_information_score: 132.6976, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8243, predictive_accuracy: 0.824, prior_entropy: 0.9945, recall: 0.824, relative_absolute_error: 0.4953, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7145, scimark_benchmark: 1336.2976, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.8111, kappa: 0.6186, kb_relative_information_score: 101.2774, mean_absolute_error: 0.3172, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8124, predictive_accuracy: 0.812, prior_entropy: 0.9945, recall: 0.812, relative_absolute_error: 0.6394, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7279, scimark_benchmark: 932.0242, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.8315, kappa: 0.6599, kb_relative_information_score: 158.9737, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8321, predictive_accuracy: 0.832, prior_entropy: 0.9945, recall: 0.832, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.7379, scimark_benchmark: 942.6843, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.832, kappa: 0.6614, kb_relative_information_score: 144.3261, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.832, predictive_accuracy: 0.832, prior_entropy: 0.9945, recall: 0.832, relative_absolute_error: 0.445, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3358, root_relative_squared_error: 0.6742, scimark_benchmark: 895.5332, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.8157, kappa: 0.6281, kb_relative_information_score: 122.6305, mean_absolute_error: 0.2691, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8158, predictive_accuracy: 0.816, prior_entropy: 0.9945, recall: 0.816, relative_absolute_error: 0.5423, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3481, root_relative_squared_error: 0.6988, scimark_benchmark: 940.0008, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.8159, kappa: 0.6286, kb_relative_information_score: 119.3348, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8158, predictive_accuracy: 0.816, prior_entropy: 0.9945, recall: 0.816, relative_absolute_error: 0.5564, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7187, scimark_benchmark: 1339.3974, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.8237, kappa: 0.6442, kb_relative_information_score: 153.8686, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8238, predictive_accuracy: 0.824, prior_entropy: 0.9945, recall: 0.824, relative_absolute_error: 0.3942, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.7627, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.8477, kappa: 0.6928, kb_relative_information_score: 158.4668, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8479, predictive_accuracy: 0.848, prior_entropy: 0.9945, recall: 0.848, relative_absolute_error: 0.3743, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.7275, scimark_benchmark: 930.5999, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8481, kappa: 0.6941, kb_relative_information_score: 157.1951, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8483, predictive_accuracy: 0.848, prior_entropy: 0.9945, recall: 0.848, relative_absolute_error: 0.3843, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.6919, scimark_benchmark: 918.0213, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.8441, kappa: 0.6858, kb_relative_information_score: 150.1985, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8441, predictive_accuracy: 0.844, prior_entropy: 0.9945, recall: 0.844, relative_absolute_error: 0.4191, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.6769, scimark_benchmark: 1304.6687, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.8237, kappa: 0.6442, kb_relative_information_score: 138.613, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8238, predictive_accuracy: 0.824, prior_entropy: 0.9945, recall: 0.824, relative_absolute_error: 0.4671, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.344, root_relative_squared_error: 0.6907, scimark_benchmark: 937.1527, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, f_measure: 0.8562, kappa: 0.7106, kb_relative_information_score: 123.4917, mean_absolute_error: 0.2692, mean_prior_absolute_error: 0.4962, number_of_instances: 250, precision: 0.8568, predictive_accuracy: 0.856, prior_entropy: 0.9945, recall: 0.856, relative_absolute_error: 0.5425, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.7034, scimark_benchmark: 1324.8395, usercpu_time_millis: 20, 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

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From your own software

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

OpenML APIs