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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25333 Runs

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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: 900.1093, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7392, f_measure: 0.4402, kappa: 0.308, kb_relative_information_score: 254.4135, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.4719, predictive_accuracy: 0.4799, prior_entropy: 1.9991, recall: 0.4799, relative_absolute_error: 0.7878, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.8845, scimark_benchmark: 1094.7876, usercpu_time_millis: 620, usercpu_time_millis_training: 620,
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: 1605.123, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6819, f_measure: 0.5164, kappa: 0.364, kb_relative_information_score: 359.1734, mean_absolute_error: 0.2388, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5167, predictive_accuracy: 0.5225, prior_entropy: 1.9991, recall: 0.5225, relative_absolute_error: 0.637, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4886, root_relative_squared_error: 1.1287, scimark_benchmark: 1603.9613, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.7189, kappa: 0.6296, kb_relative_information_score: 575.1626, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7162, predictive_accuracy: 0.7222, prior_entropy: 1.9991, recall: 0.7222, relative_absolute_error: 0.3705, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.7837, scimark_benchmark: 1506.2576, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, f_measure: 0.6921, kappa: 0.5884, kb_relative_information_score: 531.2596, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.693, predictive_accuracy: 0.6915, prior_entropy: 1.9991, recall: 0.6915, relative_absolute_error: 0.4115, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9072, scimark_benchmark: 1466.5625, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.8285, kappa: 0.773, kb_relative_information_score: 655.8048, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.8275, predictive_accuracy: 0.8298, prior_entropy: 1.9991, recall: 0.8298, relative_absolute_error: 0.28, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2372, root_relative_squared_error: 0.548, scimark_benchmark: 1475.5324, usercpu_time_millis: 2990, usercpu_time_millis_training: 2990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.7376, kappa: 0.6595, kb_relative_information_score: 559.5427, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7344, predictive_accuracy: 0.7447, prior_entropy: 1.9991, recall: 0.7447, relative_absolute_error: 0.4249, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.27, root_relative_squared_error: 0.6236, scimark_benchmark: 1500.3905, usercpu_time_millis: 170, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8456, f_measure: 0.6101, kappa: 0.5212, kb_relative_information_score: 427.5958, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6101, predictive_accuracy: 0.6407, prior_entropy: 1.9991, recall: 0.6407, relative_absolute_error: 0.612, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.7904, scimark_benchmark: 1487.1013, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7704, f_measure: 0.4083, kappa: 0.2666, kb_relative_information_score: 286.5988, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.4967, predictive_accuracy: 0.4456, prior_entropy: 1.9991, recall: 0.4456, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4641, root_relative_squared_error: 1.072, scimark_benchmark: 1429.45, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.7197, kappa: 0.6263, kb_relative_information_score: 578.5017, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7203, predictive_accuracy: 0.7199, prior_entropy: 1.9991, recall: 0.7199, relative_absolute_error: 0.375, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.742, scimark_benchmark: 1444.7834, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.7376, kappa: 0.6595, kb_relative_information_score: 559.6552, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7344, predictive_accuracy: 0.7447, prior_entropy: 1.9991, recall: 0.7447, relative_absolute_error: 0.4248, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2699, root_relative_squared_error: 0.6234, scimark_benchmark: 1511.7092, usercpu_time_millis: 170, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.7019, kappa: 0.6043, kb_relative_information_score: 558.3486, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7007, predictive_accuracy: 0.7033, prior_entropy: 1.9991, recall: 0.7033, relative_absolute_error: 0.3935, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.337, root_relative_squared_error: 0.7783, scimark_benchmark: 1482.1399, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.7052, kappa: 0.6139, kb_relative_information_score: 536.0708, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7018, predictive_accuracy: 0.7104, prior_entropy: 1.9991, recall: 0.7104, relative_absolute_error: 0.4439, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.7278, scimark_benchmark: 1707.2283, 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: 1649.3944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, f_measure: 0.6921, kappa: 0.5884, kb_relative_information_score: 531.2596, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.693, predictive_accuracy: 0.6915, prior_entropy: 1.9991, recall: 0.6915, relative_absolute_error: 0.4115, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9072, scimark_benchmark: 1592.2309, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, f_measure: 0.6921, kappa: 0.5884, kb_relative_information_score: 531.2596, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.693, predictive_accuracy: 0.6915, prior_entropy: 1.9991, recall: 0.6915, relative_absolute_error: 0.4115, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9072, scimark_benchmark: 1496.8767, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.6826, kappa: 0.5884, kb_relative_information_score: 520.6267, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.679, predictive_accuracy: 0.6915, prior_entropy: 1.9991, recall: 0.6915, relative_absolute_error: 0.4672, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.324, root_relative_squared_error: 0.7484, scimark_benchmark: 1583.3865, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.functions.SPegasos: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.functions.SPegasos: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.7101, kappa: 0.6184, kb_relative_information_score: 554.4144, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7073, predictive_accuracy: 0.7139, prior_entropy: 1.9991, recall: 0.7139, relative_absolute_error: 0.3816, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.8736, scimark_benchmark: 1567.5993, usercpu_time_millis: 220, usercpu_time_millis_testing: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, f_measure: 0.2489, kappa: 0.099, kb_relative_information_score: 42.3577, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5709, predictive_accuracy: 0.3251, prior_entropy: 1.9991, recall: 0.3251, relative_absolute_error: 0.9766, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.9791, scimark_benchmark: 1624.9864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.6945, kappa: 0.6027, kb_relative_information_score: 542.42, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6898, predictive_accuracy: 0.7021, prior_entropy: 1.9991, recall: 0.7021, relative_absolute_error: 0.3973, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.8914, scimark_benchmark: 1344.9985, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5047, f_measure: 0.1153, kappa: 0.0094, kb_relative_information_score: 87.1409, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6657, predictive_accuracy: 0.2577, prior_entropy: 1.9991, recall: 0.2577, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.6092, root_relative_squared_error: 1.4073, scimark_benchmark: 1499.4962, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8649, f_measure: 0.6835, kappa: 0.6063, kb_relative_information_score: 552.6201, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6805, predictive_accuracy: 0.7045, prior_entropy: 1.9991, recall: 0.7045, relative_absolute_error: 0.3936, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.335, root_relative_squared_error: 0.7738, scimark_benchmark: 1356.1792, usercpu_time_millis: 460, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.6205, kappa: 0.5258, kb_relative_information_score: 398.3019, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6139, predictive_accuracy: 0.6442, prior_entropy: 1.9991, recall: 0.6442, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.7724, scimark_benchmark: 1415.7224, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.706, f_measure: 0.3809, kappa: 0.2079, kb_relative_information_score: 222.4701, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.4227, predictive_accuracy: 0.409, prior_entropy: 1.9991, recall: 0.409, relative_absolute_error: 0.8567, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.9271, scimark_benchmark: 1455.94, usercpu_time_millis: 20, 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: 1373.2357, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.trees.ADTree: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
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: 1496.234, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.7611, kappa: 0.6815, kb_relative_information_score: 606.2103, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7614, predictive_accuracy: 0.7612, prior_entropy: 1.9991, recall: 0.7612, relative_absolute_error: 0.3185, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.7635, scimark_benchmark: 1462.3724, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.7425, kappa: 0.6643, kb_relative_information_score: 581.368, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7384, predictive_accuracy: 0.7482, prior_entropy: 1.9991, recall: 0.7482, relative_absolute_error: 0.3635, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.7049, scimark_benchmark: 1605.1412, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
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: 1545.9781, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.7401, kappa: 0.6612, kb_relative_information_score: 560.2083, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7362, predictive_accuracy: 0.7459, prior_entropy: 1.9991, recall: 0.7459, relative_absolute_error: 0.4128, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.6646, scimark_benchmark: 1341.3687, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.7322, kappa: 0.6516, kb_relative_information_score: 544.386, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7292, predictive_accuracy: 0.7388, prior_entropy: 1.9991, recall: 0.7388, relative_absolute_error: 0.4434, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.6521, scimark_benchmark: 1480.5998, usercpu_time_millis: 1020, usercpu_time_millis_training: 1020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7287, f_measure: 0.3526, kappa: 0.1701, kb_relative_information_score: 43.7151, mean_absolute_error: 0.3658, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5584, predictive_accuracy: 0.3783, prior_entropy: 1.9991, recall: 0.3783, relative_absolute_error: 0.9758, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.9784, scimark_benchmark: 1561.7981, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.6205, kappa: 0.5258, kb_relative_information_score: 398.3019, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6139, predictive_accuracy: 0.6442, prior_entropy: 1.9991, recall: 0.6442, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.7724, scimark_benchmark: 1477.6257, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.6205, kappa: 0.5258, kb_relative_information_score: 398.3019, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6139, predictive_accuracy: 0.6442, prior_entropy: 1.9991, recall: 0.6442, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.7724, scimark_benchmark: 1396.6505, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.6205, kappa: 0.5258, kb_relative_information_score: 398.3019, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6139, predictive_accuracy: 0.6442, prior_entropy: 1.9991, recall: 0.6442, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.7724, scimark_benchmark: 1319.3767, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.6205, kappa: 0.5258, kb_relative_information_score: 398.3019, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6139, predictive_accuracy: 0.6442, prior_entropy: 1.9991, recall: 0.6442, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.7724, scimark_benchmark: 1320.2326, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.6767, kappa: 0.5808, kb_relative_information_score: 518.5379, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6708, predictive_accuracy: 0.6856, prior_entropy: 1.9991, recall: 0.6856, relative_absolute_error: 0.4648, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3138, root_relative_squared_error: 0.7248, scimark_benchmark: 1389.6885, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.6742, kappa: 0.5825, kb_relative_information_score: 503.6315, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6672, predictive_accuracy: 0.6868, prior_entropy: 1.9991, recall: 0.6868, relative_absolute_error: 0.4976, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.7049, scimark_benchmark: 1398.7407, usercpu_time_millis: 920, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.7154, kappa: 0.6264, kb_relative_information_score: 543.289, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7118, predictive_accuracy: 0.7199, prior_entropy: 1.9991, recall: 0.7199, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3032, root_relative_squared_error: 0.7002, scimark_benchmark: 1380.9071, usercpu_time_millis: 19460, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 19450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7902, f_measure: 0.4281, kappa: 0.295, kb_relative_information_score: 206.5921, mean_absolute_error: 0.3251, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5663, predictive_accuracy: 0.4669, prior_entropy: 1.9991, recall: 0.4669, relative_absolute_error: 0.8673, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.914, scimark_benchmark: 1353.4732, usercpu_time_millis: 15130, usercpu_time_millis_testing: 15120, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7769, f_measure: 0.4649, kappa: 0.3206, kb_relative_information_score: 303.7379, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5467, predictive_accuracy: 0.487, prior_entropy: 1.9991, recall: 0.487, relative_absolute_error: 0.7462, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.426, root_relative_squared_error: 0.984, scimark_benchmark: 1705.0356, usercpu_time_millis: 100, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7539, f_measure: 0.4997, kappa: 0.3467, kb_relative_information_score: 354.0438, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.4972, predictive_accuracy: 0.5095, prior_entropy: 1.9991, recall: 0.5095, relative_absolute_error: 0.6658, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.9731, scimark_benchmark: 1606.4478, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.7098, kappa: 0.6219, kb_relative_information_score: 525.2118, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7065, predictive_accuracy: 0.7163, prior_entropy: 1.9991, recall: 0.7163, relative_absolute_error: 0.4634, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3055, root_relative_squared_error: 0.7057, scimark_benchmark: 1512.4294, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.449, kappa: 0.3052, kb_relative_information_score: 295.7715, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5443, predictive_accuracy: 0.4752, prior_entropy: 1.9991, recall: 0.4752, relative_absolute_error: 0.755, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4354, root_relative_squared_error: 1.0058, scimark_benchmark: 1263.7008, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.6472, kappa: 0.5429, kb_relative_information_score: 492.4949, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6396, predictive_accuracy: 0.6572, prior_entropy: 1.9991, recall: 0.6572, relative_absolute_error: 0.4818, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3558, root_relative_squared_error: 0.8219, scimark_benchmark: 1332.5906, usercpu_time_millis: 3960, usercpu_time_millis_testing: 3950, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, f_measure: 0.3969, kappa: 0.2736, kb_relative_information_score: 201.4683, mean_absolute_error: 0.3268, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5761, predictive_accuracy: 0.4504, prior_entropy: 1.9991, recall: 0.4504, relative_absolute_error: 0.8718, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.9234, scimark_benchmark: 1465.6087, usercpu_time_millis: 1530, usercpu_time_millis_testing: 1520, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.6672, kappa: 0.5598, kb_relative_information_score: 523.5599, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6672, predictive_accuracy: 0.6702, prior_entropy: 1.9991, recall: 0.6702, relative_absolute_error: 0.4433, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.8252, scimark_benchmark: 1458.4577, usercpu_time_millis: 11940, usercpu_time_millis_testing: 11930, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7719, f_measure: 0.6556, kappa: 0.5444, kb_relative_information_score: 497.8516, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6532, predictive_accuracy: 0.6584, prior_entropy: 1.9991, recall: 0.6584, relative_absolute_error: 0.4557, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.9543, scimark_benchmark: 1237.4137, usercpu_time_millis: 5160, usercpu_time_millis_testing: 5140, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.7029, kappa: 0.6219, kb_relative_information_score: 500.1356, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.697, predictive_accuracy: 0.7163, prior_entropy: 1.9991, recall: 0.7163, relative_absolute_error: 0.5142, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.6956, scimark_benchmark: 1428.3472, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
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: 1348.906, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.6437, kappa: 0.5511, kb_relative_information_score: 447.9026, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6368, predictive_accuracy: 0.6631, prior_entropy: 1.9991, recall: 0.6631, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.739, scimark_benchmark: 1595.5707, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.6869, kappa: 0.5855, kb_relative_information_score: 525.5757, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6862, predictive_accuracy: 0.6891, prior_entropy: 1.9991, recall: 0.6891, relative_absolute_error: 0.4502, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.7412, scimark_benchmark: 1495.9247, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.6286, kappa: 0.5434, kb_relative_information_score: 456.9294, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6223, predictive_accuracy: 0.6572, prior_entropy: 1.9991, recall: 0.6572, relative_absolute_error: 0.5721, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.7219, scimark_benchmark: 1316.59, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.6437, kappa: 0.5511, kb_relative_information_score: 447.9026, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6368, predictive_accuracy: 0.6631, prior_entropy: 1.9991, recall: 0.6631, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.739, scimark_benchmark: 1442.5904, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.6205, kappa: 0.5258, kb_relative_information_score: 398.3019, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6139, predictive_accuracy: 0.6442, prior_entropy: 1.9991, recall: 0.6442, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.7724, scimark_benchmark: 1629.0768, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.6408, kappa: 0.5513, kb_relative_information_score: 454.5462, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6406, predictive_accuracy: 0.6631, prior_entropy: 1.9991, recall: 0.6631, relative_absolute_error: 0.5648, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.7627, scimark_benchmark: 1328.9268, usercpu_time_millis: 710, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.6681, kappa: 0.5585, kb_relative_information_score: 527.5225, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6677, predictive_accuracy: 0.669, prior_entropy: 1.9991, recall: 0.669, relative_absolute_error: 0.4515, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.346, root_relative_squared_error: 0.7993, scimark_benchmark: 1364.7433, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6426, f_measure: 0.3105, kappa: 0.2, kb_relative_information_score: 167.6317, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.2811, predictive_accuracy: 0.3948, prior_entropy: 1.9991, recall: 0.3948, relative_absolute_error: 0.901, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.95, scimark_benchmark: 1470.6798, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.6592, kappa: 0.5775, kb_relative_information_score: 471.1355, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.6795, predictive_accuracy: 0.6832, prior_entropy: 1.9991, recall: 0.6832, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.7396, scimark_benchmark: 1704.3681, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.7232, kappa: 0.6359, kb_relative_information_score: 555.5212, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.7204, predictive_accuracy: 0.727, prior_entropy: 1.9991, recall: 0.727, relative_absolute_error: 0.4167, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.3063, root_relative_squared_error: 0.7075, scimark_benchmark: 1418.7137, usercpu_time_millis: 1540, usercpu_time_millis_training: 1540,
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: 1371.3296, usercpu_time_millis: 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