OpenML
Supervised Classification on car

Supervised Classification on car

Task 21 Supervised Classification car 12568 runs submitted
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  • at2 basic OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.8831, kappa: 0.7485, kb_relative_information_score: 1303.7491, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8831, predictive_accuracy: 0.8848, prior_entropy: 1.2099, recall: 0.8848, relative_absolute_error: 0.2689, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.5728, scimark_benchmark: 1017.3131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.955, kappa: 0.9026, kb_relative_information_score: 1295.6528, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.956, predictive_accuracy: 0.9549, prior_entropy: 1.2099, recall: 0.9549, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.4747, scimark_benchmark: 1090.9095, usercpu_time_millis: 160, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.8917, kappa: 0.7684, kb_relative_information_score: 1195.3368, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9011, predictive_accuracy: 0.8883, prior_entropy: 1.2099, recall: 0.8883, relative_absolute_error: 0.3225, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.6224, scimark_benchmark: 1280.6639, usercpu_time_millis: 480, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.functions.SGD: 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: 0.9536, f_measure: 0.9385, kappa: 0.8664, kb_relative_information_score: -5.2506, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9393, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 1.1173, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.9467, scimark_benchmark: 513.1878, usercpu_time_millis: 480, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.923, kappa: 0.8514, kb_relative_information_score: 1092.5099, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9395, predictive_accuracy: 0.9346, prior_entropy: 1.2099, recall: 0.9346, relative_absolute_error: 0.4886, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5773, scimark_benchmark: 1161.421, usercpu_time_millis: 460, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.923, kappa: 0.8514, kb_relative_information_score: 1091.564, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9395, predictive_accuracy: 0.9346, prior_entropy: 1.2099, recall: 0.9346, relative_absolute_error: 0.4891, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.5779, scimark_benchmark: 1350.5172, usercpu_time_millis: 380, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.923, kappa: 0.8514, kb_relative_information_score: 1092.5099, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9395, predictive_accuracy: 0.9346, prior_entropy: 1.2099, recall: 0.9346, relative_absolute_error: 0.4886, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5773, scimark_benchmark: 1298.5093, usercpu_time_millis: 290, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8449, kappa: 0.6648, kb_relative_information_score: 1002.0086, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8496, predictive_accuracy: 0.8536, prior_entropy: 1.2099, recall: 0.8536, relative_absolute_error: 0.4979, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.6708, scimark_benchmark: 1331.1629, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.955, kappa: 0.9026, kb_relative_information_score: 1295.6528, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.956, predictive_accuracy: 0.9549, prior_entropy: 1.2099, recall: 0.9549, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.4747, scimark_benchmark: 566.5132, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8449, kappa: 0.6648, kb_relative_information_score: 1002.0086, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8496, predictive_accuracy: 0.8536, prior_entropy: 1.2099, recall: 0.8536, relative_absolute_error: 0.4979, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.6708, scimark_benchmark: 926.9434, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.8831, kappa: 0.7485, kb_relative_information_score: 1303.7491, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8831, predictive_accuracy: 0.8848, prior_entropy: 1.2099, recall: 0.8848, relative_absolute_error: 0.2689, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.5728, scimark_benchmark: 1120.0271, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.functions.SGD: 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: 0.997, f_measure: 0.923, kappa: 0.8514, kb_relative_information_score: 1092.5099, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9395, predictive_accuracy: 0.9346, prior_entropy: 1.2099, recall: 0.9346, relative_absolute_error: 0.4886, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5773, scimark_benchmark: 917.3227, usercpu_time_millis: 460, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.923, kappa: 0.8514, kb_relative_information_score: 1091.564, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9395, predictive_accuracy: 0.9346, prior_entropy: 1.2099, recall: 0.9346, relative_absolute_error: 0.4891, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.5779, scimark_benchmark: 1270.9832, usercpu_time_millis: 350, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.923, kappa: 0.8514, kb_relative_information_score: 1092.5099, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9395, predictive_accuracy: 0.9346, prior_entropy: 1.2099, recall: 0.9346, relative_absolute_error: 0.4886, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5773, scimark_benchmark: 1287.5215, usercpu_time_millis: 340, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.923, kappa: 0.8514, kb_relative_information_score: 1092.5099, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9395, predictive_accuracy: 0.9346, prior_entropy: 1.2099, recall: 0.9346, relative_absolute_error: 0.4886, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5773, scimark_benchmark: 1198.2743, usercpu_time_millis: 370, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.8546, kappa: 0.742, kb_relative_information_score: 1078.8561, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8383, predictive_accuracy: 0.8831, prior_entropy: 1.2099, recall: 0.8831, relative_absolute_error: 0.3995, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.6317, scimark_benchmark: 991.7241, usercpu_time_millis: 1660, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.5768, kb_relative_information_score: -268.1323, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.2017, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.989, scimark_benchmark: 963.1338, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.8546, kappa: 0.742, kb_relative_information_score: 1078.8561, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8383, predictive_accuracy: 0.8831, prior_entropy: 1.2099, recall: 0.8831, relative_absolute_error: 0.3995, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.6317, scimark_benchmark: 1134.4252, usercpu_time_millis: 830, usercpu_time_millis_training: 830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5768, kb_relative_information_score: 0.1086, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1, scimark_benchmark: 1437.9267, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5768, kb_relative_information_score: 394.7627, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.6546, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3871, root_relative_squared_error: 1.145, scimark_benchmark: 1663.4877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9169, kappa: 0.8203, kb_relative_information_score: 1413.003, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9183, predictive_accuracy: 0.9167, prior_entropy: 1.2099, recall: 0.9167, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.5165, scimark_benchmark: 1493.1388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8399, kappa: 0.6474, kb_relative_information_score: 1216.4144, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8384, predictive_accuracy: 0.8426, prior_entropy: 1.2099, recall: 0.8426, relative_absolute_error: 0.3138, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.6906, scimark_benchmark: 1586.7334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9856, kappa: 0.9684, kb_relative_information_score: 1659.1375, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9856, predictive_accuracy: 0.9855, prior_entropy: 1.2099, recall: 0.9855, relative_absolute_error: 0.0341, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.2502, scimark_benchmark: 1411.1045, usercpu_time_millis: 3620, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9549, kappa: 0.9028, kb_relative_information_score: 1296.1859, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9563, predictive_accuracy: 0.9549, prior_entropy: 1.2099, recall: 0.9549, relative_absolute_error: 0.3356, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.4736, scimark_benchmark: 1417.3768, usercpu_time_millis: 170, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.8068, kappa: 0.6081, kb_relative_information_score: 887.7382, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8018, predictive_accuracy: 0.8206, prior_entropy: 1.2099, recall: 0.8206, relative_absolute_error: 0.5298, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.7339, scimark_benchmark: 1476.129, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8449, kappa: 0.6648, kb_relative_information_score: 1002.0086, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8496, predictive_accuracy: 0.8536, prior_entropy: 1.2099, recall: 0.8536, relative_absolute_error: 0.4979, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.6708, scimark_benchmark: 1514.5494, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.961, kappa: 0.9149, kb_relative_information_score: 1560.6603, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9616, predictive_accuracy: 0.9606, prior_entropy: 1.2099, recall: 0.9606, relative_absolute_error: 0.1015, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1267, root_relative_squared_error: 0.3746, scimark_benchmark: 1532.381, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9532, kappa: 0.8989, kb_relative_information_score: 1296.1346, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9544, predictive_accuracy: 0.9531, prior_entropy: 1.2099, recall: 0.9531, relative_absolute_error: 0.3357, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.4737, scimark_benchmark: 1424.7735, usercpu_time_millis: 160, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9169, kappa: 0.8203, kb_relative_information_score: 1413.003, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9183, predictive_accuracy: 0.9167, prior_entropy: 1.2099, recall: 0.9167, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.5165, scimark_benchmark: 1385.5605, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.8831, kappa: 0.7485, kb_relative_information_score: 1303.7491, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8831, predictive_accuracy: 0.8848, prior_entropy: 1.2099, recall: 0.8848, relative_absolute_error: 0.2689, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.5728, scimark_benchmark: 1643.9262, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5768, kb_relative_information_score: 0.1086, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1, scimark_benchmark: 1410.1809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8399, kappa: 0.6474, kb_relative_information_score: 1216.4144, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8384, predictive_accuracy: 0.8426, prior_entropy: 1.2099, recall: 0.8426, relative_absolute_error: 0.3138, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.6906, scimark_benchmark: 1524.5722, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8399, kappa: 0.6474, kb_relative_information_score: 1216.4144, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8384, predictive_accuracy: 0.8426, prior_entropy: 1.2099, recall: 0.8426, relative_absolute_error: 0.3138, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.6906, scimark_benchmark: 1463.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.8896, kappa: 0.7607, kb_relative_information_score: 1342.3384, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.893, predictive_accuracy: 0.8877, prior_entropy: 1.2099, recall: 0.8877, relative_absolute_error: 0.2524, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.5507, scimark_benchmark: 1610.4626,
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: 0.7538, f_measure: 0.7798, kappa: 0.5077, kb_relative_information_score: 826.7965, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.7749, predictive_accuracy: 0.794, prior_entropy: 1.2099, recall: 0.794, relative_absolute_error: 0.4499, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.321, root_relative_squared_error: 0.9492, scimark_benchmark: 1387.1303, usercpu_time_millis: 240, usercpu_time_millis_testing: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8835, f_measure: 0.5768, kb_relative_information_score: -757.6038, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.5044, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4, root_relative_squared_error: 1.1832, scimark_benchmark: 1618.4382, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9718, kappa: 0.9376, kb_relative_information_score: 1608.0668, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9731, predictive_accuracy: 0.9711, prior_entropy: 1.2099, recall: 0.9711, relative_absolute_error: 0.0632, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1203, root_relative_squared_error: 0.3557, scimark_benchmark: 1307.2352, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, f_measure: 0.9405, kappa: 0.8679, kb_relative_information_score: 1475.2632, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.942, predictive_accuracy: 0.9421, prior_entropy: 1.2099, recall: 0.9421, relative_absolute_error: 0.1264, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.5031, scimark_benchmark: 1534.815, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.922, kappa: 0.8354, kb_relative_information_score: 1390.0613, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9237, predictive_accuracy: 0.9277, prior_entropy: 1.2099, recall: 0.9277, relative_absolute_error: 0.1856, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.4766, scimark_benchmark: 1427.5117, usercpu_time_millis: 2040, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9168, kappa: 0.8166, kb_relative_information_score: -162.4611, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9163, predictive_accuracy: 0.9184, prior_entropy: 1.2099, recall: 0.9184, relative_absolute_error: 1.1974, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.95, scimark_benchmark: 1490.5119, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.5768, kb_relative_information_score: 1.9656, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1, scimark_benchmark: 1713.933, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9054, kappa: 0.7928, kb_relative_information_score: 1154.8665, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9124, predictive_accuracy: 0.901, prior_entropy: 1.2099, recall: 0.901, relative_absolute_error: 0.4205, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.5693, scimark_benchmark: 1313.2809, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
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: 0.8703, f_measure: 0.5768, kb_relative_information_score: -268.1323, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.2017, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.989, scimark_benchmark: 1566.7307, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9641, kappa: 0.9222, kb_relative_information_score: 1569.369, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9646, predictive_accuracy: 0.9641, prior_entropy: 1.2099, recall: 0.9641, relative_absolute_error: 0.0794, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.3731, scimark_benchmark: 1545.9883, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9549, kappa: 0.9019, kb_relative_information_score: 1538.5304, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9552, predictive_accuracy: 0.9549, prior_entropy: 1.2099, recall: 0.9549, relative_absolute_error: 0.1107, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.385, scimark_benchmark: 1525.7949, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9258, kappa: 0.839, kb_relative_information_score: 1371.6632, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9275, predictive_accuracy: 0.9253, prior_entropy: 1.2099, recall: 0.9253, relative_absolute_error: 0.2595, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.484, scimark_benchmark: 1512.1307, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9388, kappa: 0.8672, kb_relative_information_score: 1423.6538, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9395, predictive_accuracy: 0.9387, prior_entropy: 1.2099, recall: 0.9387, relative_absolute_error: 0.2149, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.4519, scimark_benchmark: 1446.2614, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9135, kappa: 0.8136, kb_relative_information_score: 1204.2685, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9153, predictive_accuracy: 0.9144, prior_entropy: 1.2099, recall: 0.9144, relative_absolute_error: 0.3648, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.5433, scimark_benchmark: 1510.069, usercpu_time_millis: 3070, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8835, f_measure: 0.5768, kb_relative_information_score: -757.6038, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.5044, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.4, root_relative_squared_error: 1.1832, scimark_benchmark: 1438.9783, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9168, kappa: 0.8166, kb_relative_information_score: -162.4611, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9163, predictive_accuracy: 0.9184, prior_entropy: 1.2099, recall: 0.9184, relative_absolute_error: 1.1974, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.95, scimark_benchmark: 1280.8501, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9168, kappa: 0.8166, kb_relative_information_score: -162.4611, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9163, predictive_accuracy: 0.9184, prior_entropy: 1.2099, recall: 0.9184, relative_absolute_error: 1.1974, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.95, scimark_benchmark: 1437.1591, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9168, kappa: 0.8166, kb_relative_information_score: -162.4611, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9163, predictive_accuracy: 0.9184, prior_entropy: 1.2099, recall: 0.9184, relative_absolute_error: 1.1974, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.95, scimark_benchmark: 1342.5334, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9168, kappa: 0.8166, kb_relative_information_score: -162.4611, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9163, predictive_accuracy: 0.9184, prior_entropy: 1.2099, recall: 0.9184, relative_absolute_error: 1.1974, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.95, scimark_benchmark: 1342.8461, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9168, kappa: 0.8166, kb_relative_information_score: -162.4611, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9163, predictive_accuracy: 0.9184, prior_entropy: 1.2099, recall: 0.9184, relative_absolute_error: 1.1974, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.95, scimark_benchmark: 1220.2732, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9168, kappa: 0.8166, kb_relative_information_score: -162.4611, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9163, predictive_accuracy: 0.9184, prior_entropy: 1.2099, recall: 0.9184, relative_absolute_error: 1.1974, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.95, scimark_benchmark: 1309.629, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9168, kappa: 0.8166, kb_relative_information_score: -162.4611, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9163, predictive_accuracy: 0.9184, prior_entropy: 1.2099, recall: 0.9184, relative_absolute_error: 1.1974, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.95, scimark_benchmark: 1255.5545, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9168, kappa: 0.8166, kb_relative_information_score: -162.4611, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9163, predictive_accuracy: 0.9184, prior_entropy: 1.2099, recall: 0.9184, relative_absolute_error: 1.1974, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.95, scimark_benchmark: 1318.5865, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9168, kappa: 0.8166, kb_relative_information_score: -162.4611, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9163, predictive_accuracy: 0.9184, prior_entropy: 1.2099, recall: 0.9184, relative_absolute_error: 1.1974, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.95, scimark_benchmark: 1450.4542, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9168, kappa: 0.8166, kb_relative_information_score: -162.4611, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9163, predictive_accuracy: 0.9184, prior_entropy: 1.2099, recall: 0.9184, relative_absolute_error: 1.1974, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.95, scimark_benchmark: 1302.2427, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9168, kappa: 0.8166, kb_relative_information_score: -162.4611, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9163, predictive_accuracy: 0.9184, prior_entropy: 1.2099, recall: 0.9184, relative_absolute_error: 1.1974, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.95, scimark_benchmark: 1305.1927, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9168, kappa: 0.8166, kb_relative_information_score: -162.4611, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9163, predictive_accuracy: 0.9184, prior_entropy: 1.2099, recall: 0.9184, relative_absolute_error: 1.1974, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.95, scimark_benchmark: 1260.3036, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9168, kappa: 0.8166, kb_relative_information_score: -162.4611, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9163, predictive_accuracy: 0.9184, prior_entropy: 1.2099, recall: 0.9184, relative_absolute_error: 1.1974, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.95, scimark_benchmark: 1192.8807, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9168, kappa: 0.8166, kb_relative_information_score: -162.4611, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9163, predictive_accuracy: 0.9184, prior_entropy: 1.2099, recall: 0.9184, relative_absolute_error: 1.1974, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.95, scimark_benchmark: 1388.0198, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9168, kappa: 0.8166, kb_relative_information_score: -162.4611, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9163, predictive_accuracy: 0.9184, prior_entropy: 1.2099, recall: 0.9184, relative_absolute_error: 1.1974, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.95, scimark_benchmark: 1347.9104, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9168, kappa: 0.8166, kb_relative_information_score: -162.4611, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9163, predictive_accuracy: 0.9184, prior_entropy: 1.2099, recall: 0.9184, relative_absolute_error: 1.1974, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.95, scimark_benchmark: 1333.259, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9168, kappa: 0.8166, kb_relative_information_score: -162.4611, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9163, predictive_accuracy: 0.9184, prior_entropy: 1.2099, recall: 0.9184, relative_absolute_error: 1.1974, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.95, scimark_benchmark: 1303.6786, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9168, kappa: 0.8166, kb_relative_information_score: -162.4611, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9163, predictive_accuracy: 0.9184, prior_entropy: 1.2099, recall: 0.9184, relative_absolute_error: 1.1974, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.95, scimark_benchmark: 1464.3451, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9168, kappa: 0.8166, kb_relative_information_score: -162.4611, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9163, predictive_accuracy: 0.9184, prior_entropy: 1.2099, recall: 0.9184, relative_absolute_error: 1.1974, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.95, scimark_benchmark: 1412.436, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9168, kappa: 0.8166, kb_relative_information_score: -162.4611, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9163, predictive_accuracy: 0.9184, prior_entropy: 1.2099, recall: 0.9184, relative_absolute_error: 1.1974, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.95, scimark_benchmark: 1346.2124, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5768, kb_relative_information_score: 0.1086, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3381, root_relative_squared_error: 1, scimark_benchmark: 1336.3475, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5768, kb_relative_information_score: 394.7627, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.6546, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3871, root_relative_squared_error: 1.145, scimark_benchmark: 1429.1837, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.5768, kb_relative_information_score: -268.1323, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.2017, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.989, scimark_benchmark: 1231.2628, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9258, kappa: 0.839, kb_relative_information_score: 1371.6632, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9275, predictive_accuracy: 0.9253, prior_entropy: 1.2099, recall: 0.9253, relative_absolute_error: 0.2595, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.484, scimark_benchmark: 1342.5805, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9168, kappa: 0.8166, kb_relative_information_score: -162.4611, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9163, predictive_accuracy: 0.9184, prior_entropy: 1.2099, recall: 0.9184, relative_absolute_error: 1.1974, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.95, scimark_benchmark: 1334.6869, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.8499, kappa: 0.6735, kb_relative_information_score: 1016.9805, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8538, predictive_accuracy: 0.8571, prior_entropy: 1.2099, recall: 0.8571, relative_absolute_error: 0.4876, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.226, root_relative_squared_error: 0.6684, scimark_benchmark: 1359.6356, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9385, kappa: 0.8664, kb_relative_information_score: -5.2506, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9393, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 1.1173, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.9467, scimark_benchmark: 1355.6106, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.8156, kappa: 0.6452, kb_relative_information_score: -205.3666, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.7959, predictive_accuracy: 0.8426, prior_entropy: 1.2099, recall: 0.8426, relative_absolute_error: 1.1794, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3425, root_relative_squared_error: 1.0129, scimark_benchmark: 1325.9117, usercpu_time_millis: 1120, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.8917, kappa: 0.7684, kb_relative_information_score: 1195.3368, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9011, predictive_accuracy: 0.8883, prior_entropy: 1.2099, recall: 0.8883, relative_absolute_error: 0.3225, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.6224, scimark_benchmark: 1374.2108, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9053, kappa: 0.8012, kb_relative_information_score: 1127.0336, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9097, predictive_accuracy: 0.9109, prior_entropy: 1.2099, recall: 0.9109, relative_absolute_error: 0.4333, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.5959, scimark_benchmark: 1528.2892, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.923, kappa: 0.8514, kb_relative_information_score: 1092.5099, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9395, predictive_accuracy: 0.9346, prior_entropy: 1.2099, recall: 0.9346, relative_absolute_error: 0.4886, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.5773, scimark_benchmark: 1616.061, usercpu_time_millis: 1890, usercpu_time_millis_testing: 560, usercpu_time_millis_training: 1330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9641, kappa: 0.9222, kb_relative_information_score: 1569.369, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9646, predictive_accuracy: 0.9641, prior_entropy: 1.2099, recall: 0.9641, relative_absolute_error: 0.0794, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.3731, scimark_benchmark: 1368.4957, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9902, kappa: 0.9786, kb_relative_information_score: 1684.6058, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9904, predictive_accuracy: 0.9902, prior_entropy: 1.2099, recall: 0.9902, relative_absolute_error: 0.0237, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.1966, scimark_benchmark: 1512.7689, usercpu_time_millis: 3020, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.8979, kappa: 0.777, kb_relative_information_score: 1313.6293, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8978, predictive_accuracy: 0.8981, prior_entropy: 1.2099, recall: 0.8981, relative_absolute_error: 0.2638, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.5647, scimark_benchmark: 1408.1226, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.7131, kappa: 0.367, kb_relative_information_score: -222.8027, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.6808, predictive_accuracy: 0.7541, prior_entropy: 1.2099, recall: 0.7541, relative_absolute_error: 1.1809, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.9775, scimark_benchmark: 1499.5448, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8385, kappa: 0.6458, kb_relative_information_score: 1229.8708, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8371, predictive_accuracy: 0.8403, prior_entropy: 1.2099, recall: 0.8403, relative_absolute_error: 0.3131, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.6711, scimark_benchmark: 1598.4486, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9549, kappa: 0.9019, kb_relative_information_score: 1538.5304, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9552, predictive_accuracy: 0.9549, prior_entropy: 1.2099, recall: 0.9549, relative_absolute_error: 0.1107, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.385, scimark_benchmark: 1481.9416, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.5768, kb_relative_information_score: 265.845, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.8472, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.8875, scimark_benchmark: 1418.6294, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9296, kappa: 0.8606, kb_relative_information_score: 1087.2144, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9405, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 0.4895, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.5831, scimark_benchmark: 1404.403, usercpu_time_millis: 2170, usercpu_time_millis_testing: 2160, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9388, kappa: 0.8672, kb_relative_information_score: 1423.6538, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9395, predictive_accuracy: 0.9387, prior_entropy: 1.2099, recall: 0.9387, relative_absolute_error: 0.2149, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.4519, scimark_benchmark: 1372.4285, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9135, kappa: 0.8136, kb_relative_information_score: 1204.2685, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9153, predictive_accuracy: 0.9144, prior_entropy: 1.2099, recall: 0.9144, relative_absolute_error: 0.3648, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.5433, scimark_benchmark: 1463.7785, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9826, kappa: 0.9621, kb_relative_information_score: 1583.3912, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9828, predictive_accuracy: 0.9826, prior_entropy: 1.2099, recall: 0.9826, relative_absolute_error: 0.11, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.0945, root_relative_squared_error: 0.2795, scimark_benchmark: 1563.8885, usercpu_time_millis: 18130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 18120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.5768, kb_relative_information_score: 660.5075, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.6018, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2667, root_relative_squared_error: 0.7889, scimark_benchmark: 1299.5111, usercpu_time_millis: 7070, usercpu_time_millis_testing: 7060, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8388, kappa: 0.6541, kb_relative_information_score: 995.9336, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.844, predictive_accuracy: 0.8501, prior_entropy: 1.2099, recall: 0.8501, relative_absolute_error: 0.5006, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.6738, scimark_benchmark: 1381.583, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5768, kb_relative_information_score: 394.7627, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 0.6546, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3871, root_relative_squared_error: 1.145, scimark_benchmark: 1453.0747, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9348, kappa: 0.8588, kb_relative_information_score: 1274.0518, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.935, predictive_accuracy: 0.9352, prior_entropy: 1.2099, recall: 0.9352, relative_absolute_error: 0.3365, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.5107, scimark_benchmark: 1357.1783, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs