OpenML
Supervised Classification on vehicle

Supervised Classification on vehicle

Task 53 Supervised Classification vehicle 25333 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_218 study_41 study_50 study_7 study_70 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.6949, kappa: 0.6013, kb_relative_information_score: 531.1537, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6907, predictive_accuracy: 0.7009, prior_entropy: 1.9991, recall: 0.7009, relative_absolute_error: 0.4392, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.7469, scimark_benchmark: 1331.2332, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.7287, kappa: 0.6486, kb_relative_information_score: 538.0252, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7246, predictive_accuracy: 0.7364, prior_entropy: 1.9991, recall: 0.7364, relative_absolute_error: 0.4503, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.659, scimark_benchmark: 1331.5882, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.6949, kappa: 0.6013, kb_relative_information_score: 531.1537, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6907, predictive_accuracy: 0.7009, prior_entropy: 1.9991, recall: 0.7009, relative_absolute_error: 0.4392, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.7469, scimark_benchmark: 1348.7888, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.709, kappa: 0.6249, kb_relative_information_score: 562.7967, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.707, predictive_accuracy: 0.7187, prior_entropy: 1.9991, recall: 0.7187, relative_absolute_error: 0.3958, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2977, root_relative_squared_error: 0.6878, scimark_benchmark: 1338.9438, usercpu_time_millis: 90, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.6544, kappa: 0.5631, kb_relative_information_score: 470.5939, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6672, predictive_accuracy: 0.6726, prior_entropy: 1.9991, recall: 0.6726, relative_absolute_error: 0.5445, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.7395, scimark_benchmark: 929.0363, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7662, f_measure: 0.6517, kappa: 0.5332, kb_relative_information_score: 488.9926, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6537, predictive_accuracy: 0.6501, prior_entropy: 1.9991, recall: 0.6501, relative_absolute_error: 0.4667, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.9661, scimark_benchmark: 1349.9917, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.6949, kappa: 0.6013, kb_relative_information_score: 531.1537, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6907, predictive_accuracy: 0.7009, prior_entropy: 1.9991, recall: 0.7009, relative_absolute_error: 0.4392, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.7469, scimark_benchmark: 922.1419, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.7051, kappa: 0.6299, kb_relative_information_score: 509.0425, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6997, predictive_accuracy: 0.7222, prior_entropy: 1.9991, recall: 0.7222, relative_absolute_error: 0.5048, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2842, root_relative_squared_error: 0.6564, scimark_benchmark: 1347.5461, usercpu_time_millis: 190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.7086, kappa: 0.633, kb_relative_information_score: 509.4137, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7047, predictive_accuracy: 0.7246, prior_entropy: 1.9991, recall: 0.7246, relative_absolute_error: 0.5063, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2833, root_relative_squared_error: 0.6544, scimark_benchmark: 1347.5461, usercpu_time_millis: 910, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.6949, kappa: 0.6013, kb_relative_information_score: 531.1537, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6907, predictive_accuracy: 0.7009, prior_entropy: 1.9991, recall: 0.7009, relative_absolute_error: 0.4392, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.7469, scimark_benchmark: 1151.6869, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.7696, kappa: 0.6957, kb_relative_information_score: 613.4697, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7679, predictive_accuracy: 0.7719, prior_entropy: 1.9991, recall: 0.7719, relative_absolute_error: 0.3241, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2798, root_relative_squared_error: 0.6463, scimark_benchmark: 1064.8317, usercpu_time_millis: 1850, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.7456, kappa: 0.669, kb_relative_information_score: 559.7666, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7421, predictive_accuracy: 0.7518, prior_entropy: 1.9991, recall: 0.7518, relative_absolute_error: 0.4244, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.6255, scimark_benchmark: 1345.7204, usercpu_time_millis: 350, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.5843, kappa: 0.4733, kb_relative_information_score: 456.4463, mean_absolute_error: 0.1988, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5955, predictive_accuracy: 0.604, prior_entropy: 1.9991, recall: 0.604, relative_absolute_error: 0.5304, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.8994, scimark_benchmark: 1335.643, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5278, f_measure: 0.1831, kappa: 0.0556, kb_relative_information_score: 125.3856, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5612, predictive_accuracy: 0.2979, prior_entropy: 1.9991, recall: 0.2979, relative_absolute_error: 0.9366, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.5925, root_relative_squared_error: 1.3686, scimark_benchmark: 1335.643, usercpu_time_millis: 690, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.6982, kappa: 0.6139, kb_relative_information_score: 554.5851, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6946, predictive_accuracy: 0.7104, prior_entropy: 1.9991, recall: 0.7104, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.303, root_relative_squared_error: 0.7, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8032, f_measure: 0.4098, kappa: 0.2856, kb_relative_information_score: 207.9517, mean_absolute_error: 0.3245, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5909, predictive_accuracy: 0.4598, prior_entropy: 1.9991, recall: 0.4598, relative_absolute_error: 0.8657, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.9185, scimark_benchmark: 1313.5052, usercpu_time_millis: 2420, usercpu_time_millis_testing: 2420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.6949, kappa: 0.6013, kb_relative_information_score: 531.1537, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6907, predictive_accuracy: 0.7009, prior_entropy: 1.9991, recall: 0.7009, relative_absolute_error: 0.4392, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.7469, scimark_benchmark: 933.1165, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.6982, kappa: 0.6139, kb_relative_information_score: 554.5851, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6946, predictive_accuracy: 0.7104, prior_entropy: 1.9991, recall: 0.7104, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.303, root_relative_squared_error: 0.7, scimark_benchmark: 1347.917, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.7906, kappa: 0.7208, kb_relative_information_score: 624.3867, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7911, predictive_accuracy: 0.7908, prior_entropy: 1.9991, recall: 0.7908, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.6821, scimark_benchmark: 1330.9699, usercpu_time_millis: 190, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.5843, kappa: 0.4733, kb_relative_information_score: 456.4463, mean_absolute_error: 0.1988, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5955, predictive_accuracy: 0.604, prior_entropy: 1.9991, recall: 0.604, relative_absolute_error: 0.5304, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.8994, scimark_benchmark: 1312.2688, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.6949, kappa: 0.6013, kb_relative_information_score: 531.1537, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6907, predictive_accuracy: 0.7009, prior_entropy: 1.9991, recall: 0.7009, relative_absolute_error: 0.4392, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.7469, scimark_benchmark: 1261.7298, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.6982, kappa: 0.6139, kb_relative_information_score: 554.5851, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6946, predictive_accuracy: 0.7104, prior_entropy: 1.9991, recall: 0.7104, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.303, root_relative_squared_error: 0.7, scimark_benchmark: 918.0213, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.6982, kappa: 0.6139, kb_relative_information_score: 554.5851, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6946, predictive_accuracy: 0.7104, prior_entropy: 1.9991, recall: 0.7104, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.303, root_relative_squared_error: 0.7, scimark_benchmark: 918.0213, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.5843, kappa: 0.4733, kb_relative_information_score: 456.4463, mean_absolute_error: 0.1988, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5955, predictive_accuracy: 0.604, prior_entropy: 1.9991, recall: 0.604, relative_absolute_error: 0.5304, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.8994, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.7456, kappa: 0.669, kb_relative_information_score: 559.7666, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7421, predictive_accuracy: 0.7518, prior_entropy: 1.9991, recall: 0.7518, relative_absolute_error: 0.4244, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.6255, scimark_benchmark: 1322.7257, usercpu_time_millis: 330, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5278, f_measure: 0.1831, kappa: 0.0556, kb_relative_information_score: 125.3856, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5612, predictive_accuracy: 0.2979, prior_entropy: 1.9991, recall: 0.2979, relative_absolute_error: 0.9366, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.5925, root_relative_squared_error: 1.3686, scimark_benchmark: 938.0414, usercpu_time_millis: 500, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5278, f_measure: 0.1831, kappa: 0.0556, kb_relative_information_score: 125.3856, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5612, predictive_accuracy: 0.2979, prior_entropy: 1.9991, recall: 0.2979, relative_absolute_error: 0.9366, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.5925, root_relative_squared_error: 1.3686, scimark_benchmark: 1375.1578, usercpu_time_millis: 600, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.7456, kappa: 0.669, kb_relative_information_score: 559.7666, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7421, predictive_accuracy: 0.7518, prior_entropy: 1.9991, recall: 0.7518, relative_absolute_error: 0.4244, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.6255, scimark_benchmark: 1397.3209, usercpu_time_millis: 460, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.6982, kappa: 0.6139, kb_relative_information_score: 554.5851, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6946, predictive_accuracy: 0.7104, prior_entropy: 1.9991, recall: 0.7104, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.303, root_relative_squared_error: 0.7, scimark_benchmark: 1326.3935, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 0.8765, f_measure: 0.6949, kappa: 0.6013, kb_relative_information_score: 531.1537, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6907, predictive_accuracy: 0.7009, prior_entropy: 1.9991, recall: 0.7009, relative_absolute_error: 0.4392, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.7469, scimark_benchmark: 1325.6322, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.7013, kappa: 0.6107, kb_relative_information_score: 517.7662, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6986, predictive_accuracy: 0.708, prior_entropy: 1.9991, recall: 0.708, relative_absolute_error: 0.4587, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.7481, scimark_benchmark: 1321.4561, usercpu_time_millis: 2750, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.6982, kappa: 0.6139, kb_relative_information_score: 554.5851, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6946, predictive_accuracy: 0.7104, prior_entropy: 1.9991, recall: 0.7104, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.303, root_relative_squared_error: 0.7, scimark_benchmark: 1303.5632, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.6982, kappa: 0.6139, kb_relative_information_score: 554.5851, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6946, predictive_accuracy: 0.7104, prior_entropy: 1.9991, recall: 0.7104, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.303, root_relative_squared_error: 0.7, scimark_benchmark: 1342.6744, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.6982, kappa: 0.6139, kb_relative_information_score: 554.5851, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6946, predictive_accuracy: 0.7104, prior_entropy: 1.9991, recall: 0.7104, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.303, root_relative_squared_error: 0.7, scimark_benchmark: 1343.7262, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5278, f_measure: 0.1831, kappa: 0.0556, kb_relative_information_score: 125.3856, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5612, predictive_accuracy: 0.2979, prior_entropy: 1.9991, recall: 0.2979, relative_absolute_error: 0.9366, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.5925, root_relative_squared_error: 1.3686, scimark_benchmark: 1333.9912, usercpu_time_millis: 660, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.6544, kappa: 0.5631, kb_relative_information_score: 470.5939, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6672, predictive_accuracy: 0.6726, prior_entropy: 1.9991, recall: 0.6726, relative_absolute_error: 0.5445, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.7395, scimark_benchmark: 1364.991, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.695, kappa: 0.5996, kb_relative_information_score: 540.259, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6948, predictive_accuracy: 0.6998, prior_entropy: 1.9991, recall: 0.6998, relative_absolute_error: 0.4005, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3875, root_relative_squared_error: 0.895, scimark_benchmark: 1331.0047, usercpu_time_millis: 390, usercpu_time_millis_training: 390,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.7456, kappa: 0.669, kb_relative_information_score: 559.7666, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7421, predictive_accuracy: 0.7518, prior_entropy: 1.9991, recall: 0.7518, relative_absolute_error: 0.4244, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.6255, scimark_benchmark: 942.3809, usercpu_time_millis: 420, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.7013, kappa: 0.6107, kb_relative_information_score: 517.7662, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6986, predictive_accuracy: 0.708, prior_entropy: 1.9991, recall: 0.708, relative_absolute_error: 0.4587, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.7481, scimark_benchmark: 928.8135, usercpu_time_millis: 2660, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.6982, kappa: 0.6139, kb_relative_information_score: 554.5851, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6946, predictive_accuracy: 0.7104, prior_entropy: 1.9991, recall: 0.7104, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.303, root_relative_squared_error: 0.7, scimark_benchmark: 942.3809, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.713, kappa: 0.6313, kb_relative_information_score: 537.1402, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7079, predictive_accuracy: 0.7234, prior_entropy: 1.9991, recall: 0.7234, relative_absolute_error: 0.4506, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.6626, scimark_benchmark: 946.9304, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.6982, kappa: 0.6139, kb_relative_information_score: 554.5851, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6946, predictive_accuracy: 0.7104, prior_entropy: 1.9991, recall: 0.7104, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.303, root_relative_squared_error: 0.7, scimark_benchmark: 945.0194, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.6982, kappa: 0.6139, kb_relative_information_score: 554.5851, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6946, predictive_accuracy: 0.7104, prior_entropy: 1.9991, recall: 0.7104, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.303, root_relative_squared_error: 0.7, scimark_benchmark: 938.838, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.5843, kappa: 0.4733, kb_relative_information_score: 456.4463, mean_absolute_error: 0.1988, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5955, predictive_accuracy: 0.604, prior_entropy: 1.9991, recall: 0.604, relative_absolute_error: 0.5304, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.8994, scimark_benchmark: 945.0194, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5278, f_measure: 0.1831, kappa: 0.0556, kb_relative_information_score: 125.3856, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5612, predictive_accuracy: 0.2979, prior_entropy: 1.9991, recall: 0.2979, relative_absolute_error: 0.9366, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.5925, root_relative_squared_error: 1.3686, scimark_benchmark: 945.0194, usercpu_time_millis: 480, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5278, f_measure: 0.1831, kappa: 0.0556, kb_relative_information_score: 125.3856, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5612, predictive_accuracy: 0.2979, prior_entropy: 1.9991, recall: 0.2979, relative_absolute_error: 0.9366, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.5925, root_relative_squared_error: 1.3686, scimark_benchmark: 928.8135, usercpu_time_millis: 430, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.6544, kappa: 0.5631, kb_relative_information_score: 470.5939, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6672, predictive_accuracy: 0.6726, prior_entropy: 1.9991, recall: 0.6726, relative_absolute_error: 0.5445, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.7395, scimark_benchmark: 941.6062, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.6949, kappa: 0.6013, kb_relative_information_score: 531.1537, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6907, predictive_accuracy: 0.7009, prior_entropy: 1.9991, recall: 0.7009, relative_absolute_error: 0.4392, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.7469, scimark_benchmark: 926.4745, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7333, f_measure: 0.4257, kappa: 0.2898, kb_relative_information_score: 162.8483, mean_absolute_error: 0.3386, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.4704, predictive_accuracy: 0.4645, prior_entropy: 1.9991, recall: 0.4645, relative_absolute_error: 0.9034, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.9361, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.7465, kappa: 0.669, kb_relative_information_score: 560.2736, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7426, predictive_accuracy: 0.7518, prior_entropy: 1.9991, recall: 0.7518, relative_absolute_error: 0.4187, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.636, scimark_benchmark: 933.0918, usercpu_time_millis: 2330, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.7238, kappa: 0.6359, kb_relative_information_score: 557.9406, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.722, predictive_accuracy: 0.727, prior_entropy: 1.9991, recall: 0.727, relative_absolute_error: 0.4231, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.6557, scimark_benchmark: 926.5859, usercpu_time_millis: 210, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.156, kappa: -0.0029, kb_relative_information_score: 81.9935, mean_absolute_error: 0.3723, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.1303, predictive_accuracy: 0.2553, prior_entropy: 1.9991, recall: 0.2553, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.6102, root_relative_squared_error: 1.4095, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6399, f_measure: 0.3112, kappa: 0.2015, kb_relative_information_score: 168.4167, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.2814, predictive_accuracy: 0.396, prior_entropy: 1.9991, recall: 0.396, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.949, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6399, f_measure: 0.3112, kappa: 0.2015, kb_relative_information_score: 168.4167, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.2814, predictive_accuracy: 0.396, prior_entropy: 1.9991, recall: 0.396, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.949, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6399, f_measure: 0.3112, kappa: 0.2015, kb_relative_information_score: 168.4167, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.2814, predictive_accuracy: 0.396, prior_entropy: 1.9991, recall: 0.396, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.949, scimark_benchmark: 940.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6399, f_measure: 0.3112, kappa: 0.2015, kb_relative_information_score: 168.4167, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.2814, predictive_accuracy: 0.396, prior_entropy: 1.9991, recall: 0.396, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.949, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6399, f_measure: 0.3112, kappa: 0.2015, kb_relative_information_score: 168.4167, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.2814, predictive_accuracy: 0.396, prior_entropy: 1.9991, recall: 0.396, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.949, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4946, f_measure: 0.156, kappa: -0.0029, kb_relative_information_score: 0.2791, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.1303, predictive_accuracy: 0.2553, prior_entropy: 1.9991, recall: 0.2553, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4329, root_relative_squared_error: 1, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.7676, kappa: 0.6973, kb_relative_information_score: 561.9324, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7658, predictive_accuracy: 0.7731, prior_entropy: 1.9991, recall: 0.7731, relative_absolute_error: 0.4288, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.6222, scimark_benchmark: 936.7184, usercpu_time_millis: 550, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.7562, kappa: 0.6832, kb_relative_information_score: 566.4467, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7524, predictive_accuracy: 0.7624, prior_entropy: 1.9991, recall: 0.7624, relative_absolute_error: 0.425, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.6081, scimark_benchmark: 930.0025, usercpu_time_millis: 1140, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.764, kappa: 0.6942, kb_relative_information_score: 573.8417, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7612, predictive_accuracy: 0.7707, prior_entropy: 1.9991, recall: 0.7707, relative_absolute_error: 0.4169, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.5952, scimark_benchmark: 944.235, usercpu_time_millis: 2110, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 1750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.7706, kappa: 0.7021, kb_relative_information_score: 574.4163, mean_absolute_error: 0.1569, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7674, predictive_accuracy: 0.7766, prior_entropy: 1.9991, recall: 0.7766, relative_absolute_error: 0.4185, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.256, root_relative_squared_error: 0.5914, scimark_benchmark: 934.7923, usercpu_time_millis: 4430, usercpu_time_millis_testing: 750, usercpu_time_millis_training: 3680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.7815, kappa: 0.7163, kb_relative_information_score: 576.3326, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7794, predictive_accuracy: 0.7872, prior_entropy: 1.9991, recall: 0.7872, relative_absolute_error: 0.418, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2538, root_relative_squared_error: 0.5862, scimark_benchmark: 972.587, usercpu_time_millis: 13600, usercpu_time_millis_testing: 6180, usercpu_time_millis_training: 7420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.7456, kappa: 0.669, kb_relative_information_score: 559.7666, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7421, predictive_accuracy: 0.7518, prior_entropy: 1.9991, recall: 0.7518, relative_absolute_error: 0.4244, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.6255, scimark_benchmark: 901.4991, usercpu_time_millis: 390, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.7013, kappa: 0.6107, kb_relative_information_score: 517.7662, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6986, predictive_accuracy: 0.708, prior_entropy: 1.9991, recall: 0.708, relative_absolute_error: 0.4587, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.7481, scimark_benchmark: 936.3213, usercpu_time_millis: 2650, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.6982, kappa: 0.6139, kb_relative_information_score: 554.5851, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6946, predictive_accuracy: 0.7104, prior_entropy: 1.9991, recall: 0.7104, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.303, root_relative_squared_error: 0.7, scimark_benchmark: 944.0133, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,

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