Task
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: 0.9196, 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: 0.8774, 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: 0.8842, 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: 1323.4116, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.8562, kappa: 0.0556, kb_relative_information_score: -14.4012, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8598, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.8345, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.9002, scimark_benchmark: 1349.1517, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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: 1327.6367, 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: 1342.6744, usercpu_time_millis: 10, usercpu_time_millis_testing: 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: 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: 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: 0.4753, 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: 1306.9281,
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: 1337.3324,
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: 1350.7721, 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: 1313.11,
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: 1354.5533, usercpu_time_millis: 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: 1343.3311, usercpu_time_millis: 620, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 510,
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: 1313.5633, usercpu_time_millis: 10, usercpu_time_millis_testing: 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: 1324.6442, usercpu_time_millis: 250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 240,
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: 908.2231, 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: 1362.9924,
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: 1313.8988, usercpu_time_millis: 10, usercpu_time_millis_training: 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: 1325.8468,
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: 1325.8468, 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: 1321.8321, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 1310.3168, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.8562, kappa: 0.0556, kb_relative_information_score: -14.4012, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8598, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.8345, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.9002, scimark_benchmark: 1337.9552, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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: 1316.5668,
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: 1340.9446, 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: 1353.0836, 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: 1375.1578, 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: 1340.9749, 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: 1317.5857, usercpu_time_millis: 10, usercpu_time_millis_testing: 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: 901.8743, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 942.3809, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
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: 1324.6442, 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: 1349.1517, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7727, f_measure: 0.8493, kb_relative_information_score: -86.4085, 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: 0.8571, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.9449,
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: 1838.8826,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6981, f_measure: 0.8827, kappa: 0.2827, kb_relative_information_score: 11.0895, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8777, predictive_accuracy: 0.8996, prior_entropy: 0.4808, recall: 0.8996, relative_absolute_error: 0.7827, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2889, root_relative_squared_error: 0.9534, scimark_benchmark: 1779.392,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7921, f_measure: 0.8985, kappa: 0.4218, kb_relative_information_score: 157.9056, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8951, predictive_accuracy: 0.9034, prior_entropy: 0.4808, recall: 0.9034, relative_absolute_error: 0.5232, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3054, root_relative_squared_error: 1.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6969, f_measure: 0.903, kappa: 0.4161, kb_relative_information_score: 114.9055, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9018, predictive_accuracy: 0.9148, prior_entropy: 0.4808, recall: 0.9148, relative_absolute_error: 0.7464, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.905, scimark_benchmark: 1102.5575, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7607, f_measure: 0.853, kappa: 0.0431, kb_relative_information_score: -95.2821, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8373, predictive_accuracy: 0.892, prior_entropy: 0.4808, recall: 0.892, relative_absolute_error: 0.8675, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.9485,
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: 1352.843, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.8539, kappa: 0.0328, kb_relative_information_score: 18.2898, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9097, predictive_accuracy: 0.8996, prior_entropy: 0.4808, recall: 0.8996, relative_absolute_error: 0.7196, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.9022, scimark_benchmark: 1860.4354, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, f_measure: 0.9089, kappa: 0.4831, kb_relative_information_score: 88.9793, mean_absolute_error: 0.1097, 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: 0.5937, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.9013, scimark_benchmark: 1572.3866, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.9095, kappa: 0.4406, kb_relative_information_score: 80.2457, mean_absolute_error: 0.1219, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9175, predictive_accuracy: 0.9242, prior_entropy: 0.4808, recall: 0.9242, relative_absolute_error: 0.6598, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2419, root_relative_squared_error: 0.7983, scimark_benchmark: 901.6243, usercpu_time_millis: 9880, usercpu_time_millis_testing: 3500, usercpu_time_millis_training: 6380,
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: 1051.249, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, 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: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7762, f_measure: 0.8493, kb_relative_information_score: 138.0697, 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: 0.3182, root_relative_squared_error: 1.0502, scimark_benchmark: 935.6052, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 942.6192, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.8785, kappa: 0.2191, kb_relative_information_score: 172.5588, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8922, predictive_accuracy: 0.9072, prior_entropy: 0.4808, recall: 0.9072, relative_absolute_error: 0.5041, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.9813, scimark_benchmark: 935.6052, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.9035, kappa: 0.4052, kb_relative_information_score: 79.6748, mean_absolute_error: 0.1219, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9075, predictive_accuracy: 0.9186, prior_entropy: 0.4808, recall: 0.9186, relative_absolute_error: 0.6598, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.8078, scimark_benchmark: 944.0133, usercpu_time_millis: 4400, usercpu_time_millis_testing: 1540, usercpu_time_millis_training: 2860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.8943, kappa: 0.3707, kb_relative_information_score: 5.1583, mean_absolute_error: 0.1262, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8901, predictive_accuracy: 0.9053, prior_entropy: 0.4808, recall: 0.9053, relative_absolute_error: 0.6826, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.9232, scimark_benchmark: 926.5859, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.9004, kappa: 0.391, kb_relative_information_score: 83.4016, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9012, predictive_accuracy: 0.9148, prior_entropy: 0.4808, recall: 0.9148, relative_absolute_error: 0.6658, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.247, root_relative_squared_error: 0.8153, scimark_benchmark: 906.8974, usercpu_time_millis: 2740, usercpu_time_millis_testing: 1000, usercpu_time_millis_training: 1740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.9035, kappa: 0.4052, kb_relative_information_score: 86.7043, mean_absolute_error: 0.1205, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9075, predictive_accuracy: 0.9186, prior_entropy: 0.4808, recall: 0.9186, relative_absolute_error: 0.6522, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.8255, scimark_benchmark: 936.1714, usercpu_time_millis: 480, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.9035, kappa: 0.4052, kb_relative_information_score: 86.1337, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9075, predictive_accuracy: 0.9186, prior_entropy: 0.4808, recall: 0.9186, relative_absolute_error: 0.6599, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.8015, scimark_benchmark: 869.7667, usercpu_time_millis: 1030, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 830,
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: 908.9569, usercpu_time_millis: 290, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 150,
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: 944.0133, usercpu_time_millis: 300, usercpu_time_millis_training: 300,
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: 901.6243, usercpu_time_millis: 50, usercpu_time_millis_training: 50,

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