OpenML
Supervised Classification on pm10

Supervised Classification on pm10

Task 4321 Supervised Classification pm10 200 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4901, f_measure: 0.3421, kappa: -0.0008, kb_relative_information_score: -2.344, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.258, predictive_accuracy: 0.5076, prior_entropy: 0.9998, recall: 0.5076, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0007, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5629, f_measure: 0.5453, kappa: 0.1138, kb_relative_information_score: 185.1968, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5644, predictive_accuracy: 0.5594, prior_entropy: 0.9998, recall: 0.5594, relative_absolute_error: 0.9698, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0008, scimark_benchmark: 972.587, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5467, f_measure: 0.5357, kappa: 0.0949, kb_relative_information_score: 230.9589, mean_absolute_error: 0.4799, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5537, predictive_accuracy: 0.55, prior_entropy: 0.9998, recall: 0.55, relative_absolute_error: 0.96, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5177, root_relative_squared_error: 1.0355, scimark_benchmark: 934.3687, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5496, f_measure: 0.5338, kappa: 0.0998, kb_relative_information_score: 526.3537, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5589, predictive_accuracy: 0.5528, prior_entropy: 0.9998, recall: 0.5528, relative_absolute_error: 0.8946, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6687, root_relative_squared_error: 1.3376, scimark_benchmark: 904.6764, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5496, f_measure: 0.5338, kappa: 0.0998, kb_relative_information_score: 526.3537, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5589, predictive_accuracy: 0.5528, prior_entropy: 0.9998, recall: 0.5528, relative_absolute_error: 0.8946, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6687, root_relative_squared_error: 1.3376, scimark_benchmark: 931.771, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4901, f_measure: 0.3421, kappa: -0.0008, kb_relative_information_score: -2.2496, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.258, predictive_accuracy: 0.5076, prior_entropy: 0.9998, recall: 0.5076, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0006, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6275, f_measure: 0.6002, kappa: 0.2011, kb_relative_information_score: 450.5188, mean_absolute_error: 0.462, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.6014, predictive_accuracy: 0.6012, prior_entropy: 0.9998, recall: 0.6012, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4919, root_relative_squared_error: 0.9839, scimark_benchmark: 938.191, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5724, f_measure: 0.5563, kappa: 0.1145, kb_relative_information_score: 164.9484, mean_absolute_error: 0.4868, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5582, predictive_accuracy: 0.5582, prior_entropy: 0.9998, recall: 0.5582, relative_absolute_error: 0.9738, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9959, scimark_benchmark: 944.1067, usercpu_time_millis: 2120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.517, f_measure: 0.516, kappa: 0.0567, kb_relative_information_score: 60.2892, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5321, predictive_accuracy: 0.531, prior_entropy: 0.9998, recall: 0.531, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.0089, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5496, f_measure: 0.5338, kappa: 0.0998, kb_relative_information_score: 526.3537, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5589, predictive_accuracy: 0.5528, prior_entropy: 0.9998, recall: 0.5528, relative_absolute_error: 0.8946, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6687, root_relative_squared_error: 1.3376, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5496, f_measure: 0.5338, kappa: 0.0998, kb_relative_information_score: 526.3537, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5589, predictive_accuracy: 0.5528, prior_entropy: 0.9998, recall: 0.5528, relative_absolute_error: 0.8946, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6687, root_relative_squared_error: 1.3376, scimark_benchmark: 932.438, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4901, f_measure: 0.3421, kappa: -0.0008, kb_relative_information_score: -2.2496, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.258, predictive_accuracy: 0.5076, prior_entropy: 0.9998, recall: 0.5076, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0006, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4901, f_measure: 0.3421, kappa: -0.0008, kb_relative_information_score: -2.2496, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.258, predictive_accuracy: 0.5076, prior_entropy: 0.9998, recall: 0.5076, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0006, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6666, f_measure: 0.6187, kappa: 0.238, kb_relative_information_score: 610.8027, mean_absolute_error: 0.4477, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.6199, predictive_accuracy: 0.6196, prior_entropy: 0.9998, recall: 0.6196, relative_absolute_error: 0.8956, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9589, scimark_benchmark: 937.5117, usercpu_time_millis: 200, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4901, f_measure: 0.3421, kappa: -0.0008, kb_relative_information_score: -2.344, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.258, predictive_accuracy: 0.5076, prior_entropy: 0.9998, recall: 0.5076, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0007, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5629, f_measure: 0.5453, kappa: 0.1138, kb_relative_information_score: 185.1968, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5644, predictive_accuracy: 0.5594, prior_entropy: 0.9998, recall: 0.5594, relative_absolute_error: 0.9698, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0008, scimark_benchmark: 908.9569, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5467, f_measure: 0.5357, kappa: 0.0949, kb_relative_information_score: 230.9589, mean_absolute_error: 0.4799, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5537, predictive_accuracy: 0.55, prior_entropy: 0.9998, recall: 0.55, relative_absolute_error: 0.96, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5177, root_relative_squared_error: 1.0355, scimark_benchmark: 938.1282, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5496, f_measure: 0.5338, kappa: 0.0998, kb_relative_information_score: 526.3537, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5589, predictive_accuracy: 0.5528, prior_entropy: 0.9998, recall: 0.5528, relative_absolute_error: 0.8946, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6687, root_relative_squared_error: 1.3376, scimark_benchmark: 937.5683, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5496, f_measure: 0.5338, kappa: 0.0998, kb_relative_information_score: 526.3537, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5589, predictive_accuracy: 0.5528, prior_entropy: 0.9998, recall: 0.5528, relative_absolute_error: 0.8946, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6687, root_relative_squared_error: 1.3376, scimark_benchmark: 859.5223, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4901, f_measure: 0.3421, kappa: -0.0008, kb_relative_information_score: -2.2424, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.258, predictive_accuracy: 0.5076, prior_entropy: 0.9998, recall: 0.5076, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0006, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4901, f_measure: 0.3421, kappa: -0.0008, kb_relative_information_score: -2.2496, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.258, predictive_accuracy: 0.5076, prior_entropy: 0.9998, recall: 0.5076, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0006, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4901, f_measure: 0.3421, kappa: -0.0008, kb_relative_information_score: -2.2496, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.258, predictive_accuracy: 0.5076, prior_entropy: 0.9998, recall: 0.5076, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0006, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6275, f_measure: 0.6002, kappa: 0.2011, kb_relative_information_score: 450.5188, mean_absolute_error: 0.462, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.6014, predictive_accuracy: 0.6012, prior_entropy: 0.9998, recall: 0.6012, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4919, root_relative_squared_error: 0.9839, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5724, f_measure: 0.5563, kappa: 0.1145, kb_relative_information_score: 164.9484, mean_absolute_error: 0.4868, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5582, predictive_accuracy: 0.5582, prior_entropy: 0.9998, recall: 0.5582, relative_absolute_error: 0.9738, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9959, scimark_benchmark: 935.5664, usercpu_time_millis: 1290, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4901, f_measure: 0.3421, kappa: -0.0008, kb_relative_information_score: -2.2496, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.258, predictive_accuracy: 0.5076, prior_entropy: 0.9998, recall: 0.5076, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0006, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.517, f_measure: 0.516, kappa: 0.0567, kb_relative_information_score: 60.2892, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5321, predictive_accuracy: 0.531, prior_entropy: 0.9998, recall: 0.531, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.0089, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6666, f_measure: 0.6187, kappa: 0.238, kb_relative_information_score: 610.8027, mean_absolute_error: 0.4477, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.6199, predictive_accuracy: 0.6196, prior_entropy: 0.9998, recall: 0.6196, relative_absolute_error: 0.8956, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9589, scimark_benchmark: 901.4991, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5615, f_measure: 0.5122, kappa: 0.095, kb_relative_information_score: 17.846, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5689, predictive_accuracy: 0.5516, prior_entropy: 0.9998, recall: 0.5516, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9983, scimark_benchmark: 1051.249, usercpu_time_millis: 2600, usercpu_time_millis_testing: 1540, usercpu_time_millis_training: 1060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5559, f_measure: 0.5119, kappa: 0.0919, kb_relative_information_score: 15.7245, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5656, predictive_accuracy: 0.55, prior_entropy: 0.9998, recall: 0.55, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9987, scimark_benchmark: 904.5548, usercpu_time_millis: 600, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5542, f_measure: 0.5141, kappa: 0.0891, kb_relative_information_score: 15.9874, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.561, predictive_accuracy: 0.5484, prior_entropy: 0.9998, recall: 0.5484, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9988, scimark_benchmark: 903.179, usercpu_time_millis: 340, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5511, f_measure: 0.5139, kappa: 0.0868, kb_relative_information_score: 18.638, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5588, predictive_accuracy: 0.5472, prior_entropy: 0.9998, recall: 0.5472, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4992, root_relative_squared_error: 0.9985, scimark_benchmark: 921.2615, usercpu_time_millis: 140, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5234, f_measure: 0.4858, kappa: 0.0492, kb_relative_information_score: 9.2815, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5364, predictive_accuracy: 0.529, prior_entropy: 0.9998, recall: 0.529, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0003, scimark_benchmark: 862.7006, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5718, f_measure: 0.5601, kappa: 0.1237, kb_relative_information_score: 248.4766, mean_absolute_error: 0.4799, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5634, predictive_accuracy: 0.563, prior_entropy: 0.9998, recall: 0.563, relative_absolute_error: 0.96, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5151, root_relative_squared_error: 1.0303, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5718, f_measure: 0.5601, kappa: 0.1237, kb_relative_information_score: 248.4766, mean_absolute_error: 0.4799, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5634, predictive_accuracy: 0.563, prior_entropy: 0.9998, recall: 0.563, relative_absolute_error: 0.96, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5151, root_relative_squared_error: 1.0303, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5718, f_measure: 0.5601, kappa: 0.1237, kb_relative_information_score: 248.4766, mean_absolute_error: 0.4799, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5634, predictive_accuracy: 0.563, prior_entropy: 0.9998, recall: 0.563, relative_absolute_error: 0.96, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5151, root_relative_squared_error: 1.0303, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5711, f_measure: 0.5568, kappa: 0.1179, kb_relative_information_score: 244.0445, mean_absolute_error: 0.4802, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5606, predictive_accuracy: 0.5602, prior_entropy: 0.9998, recall: 0.5602, relative_absolute_error: 0.9607, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5142, root_relative_squared_error: 1.0286, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5681, f_measure: 0.5618, kappa: 0.1289, kb_relative_information_score: 215.5892, mean_absolute_error: 0.483, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5666, predictive_accuracy: 0.5658, prior_entropy: 0.9998, recall: 0.5658, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5109, root_relative_squared_error: 1.0219, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4904, f_measure: 0.3423, kb_relative_information_score: -0.3119, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.2581, predictive_accuracy: 0.508, prior_entropy: 0.9998, recall: 0.508, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.57, f_measure: 0.5511, kappa: 0.1067, kb_relative_information_score: 396.6537, mean_absolute_error: 0.463, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5549, predictive_accuracy: 0.5546, prior_entropy: 0.9998, recall: 0.5546, relative_absolute_error: 0.9263, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5468, root_relative_squared_error: 1.0938, scimark_benchmark: 938.3115, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5724, f_measure: 0.5563, kappa: 0.1145, kb_relative_information_score: 164.9513, mean_absolute_error: 0.4868, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5582, predictive_accuracy: 0.5582, prior_entropy: 0.9998, recall: 0.5582, relative_absolute_error: 0.9738, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9959, scimark_benchmark: 1309.2287, usercpu_time_millis: 1020, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4901, f_measure: 0.3421, kappa: -0.0008, kb_relative_information_score: -2.2496, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.258, predictive_accuracy: 0.5076, prior_entropy: 0.9998, recall: 0.5076, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0006, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.517, f_measure: 0.516, kappa: 0.0567, kb_relative_information_score: 60.2892, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5321, predictive_accuracy: 0.531, prior_entropy: 0.9998, recall: 0.531, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.0089, scimark_benchmark: 1322.3407, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4901, f_measure: 0.3421, kappa: -0.0008, kb_relative_information_score: -2.2496, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.258, predictive_accuracy: 0.5076, prior_entropy: 0.9998, recall: 0.5076, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0006, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4901, f_measure: 0.3421, kappa: -0.0008, kb_relative_information_score: -2.2496, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.258, predictive_accuracy: 0.5076, prior_entropy: 0.9998, recall: 0.5076, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0006, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4901, f_measure: 0.3421, kappa: -0.0008, kb_relative_information_score: -2.2496, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.258, predictive_accuracy: 0.5076, prior_entropy: 0.9998, recall: 0.5076, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0006, scimark_benchmark: 1332.7986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4901, f_measure: 0.3421, kappa: -0.0008, kb_relative_information_score: -2.2496, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.258, predictive_accuracy: 0.5076, prior_entropy: 0.9998, recall: 0.5076, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0006, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.517, f_measure: 0.516, kappa: 0.0567, kb_relative_information_score: 60.2892, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5321, predictive_accuracy: 0.531, prior_entropy: 0.9998, recall: 0.531, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.0089, scimark_benchmark: 1335.5309, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6666, f_measure: 0.6187, kappa: 0.238, kb_relative_information_score: 610.8027, mean_absolute_error: 0.4477, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.6199, predictive_accuracy: 0.6196, prior_entropy: 0.9998, recall: 0.6196, relative_absolute_error: 0.8956, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9589, scimark_benchmark: 1323.5075, usercpu_time_millis: 200, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5332, f_measure: 0.4849, kappa: 0.0537, kb_relative_information_score: 189.5524, mean_absolute_error: 0.4821, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5413, predictive_accuracy: 0.5314, prior_entropy: 0.9998, recall: 0.5314, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5078, root_relative_squared_error: 1.0157, scimark_benchmark: 1339.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5467, f_measure: 0.5357, kappa: 0.0949, kb_relative_information_score: 230.9589, mean_absolute_error: 0.4799, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5537, predictive_accuracy: 0.55, prior_entropy: 0.9998, recall: 0.55, relative_absolute_error: 0.96, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5177, root_relative_squared_error: 1.0355, scimark_benchmark: 1339.6197, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5157, f_measure: 0.515, kappa: 0.047, kb_relative_information_score: 51.4888, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5257, predictive_accuracy: 0.5258, prior_entropy: 0.9998, recall: 0.5258, relative_absolute_error: 0.9908, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5078, root_relative_squared_error: 1.0156, scimark_benchmark: 1331.8682, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4901, f_measure: 0.3421, kappa: -0.0008, kb_relative_information_score: -2.2424, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.258, predictive_accuracy: 0.5076, prior_entropy: 0.9998, recall: 0.5076, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0006, scimark_benchmark: 1330.4755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4901, f_measure: 0.3421, kappa: -0.0008, kb_relative_information_score: -2.2496, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.258, predictive_accuracy: 0.5076, prior_entropy: 0.9998, recall: 0.5076, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0006, scimark_benchmark: 1393.1381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4901, f_measure: 0.3421, kappa: -0.0008, kb_relative_information_score: -2.2496, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.258, predictive_accuracy: 0.5076, prior_entropy: 0.9998, recall: 0.5076, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0006, scimark_benchmark: 1405.2896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6275, f_measure: 0.6002, kappa: 0.2011, kb_relative_information_score: 450.5188, mean_absolute_error: 0.462, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.6014, predictive_accuracy: 0.6012, prior_entropy: 0.9998, recall: 0.6012, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4919, root_relative_squared_error: 0.9839, scimark_benchmark: 1337.7902, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6666, f_measure: 0.6187, kappa: 0.238, kb_relative_information_score: 610.8027, mean_absolute_error: 0.4477, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.6199, predictive_accuracy: 0.6196, prior_entropy: 0.9998, recall: 0.6196, relative_absolute_error: 0.8956, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9589, scimark_benchmark: 1292.1745, usercpu_time_millis: 220, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5496, f_measure: 0.5338, kappa: 0.0998, kb_relative_information_score: 526.3537, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5589, predictive_accuracy: 0.5528, prior_entropy: 0.9998, recall: 0.5528, relative_absolute_error: 0.8946, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6687, root_relative_squared_error: 1.3376, scimark_benchmark: 1336.2908, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6666, f_measure: 0.6187, kappa: 0.238, kb_relative_information_score: 610.8027, mean_absolute_error: 0.4477, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.6199, predictive_accuracy: 0.6196, prior_entropy: 0.9998, recall: 0.6196, relative_absolute_error: 0.8956, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9589, scimark_benchmark: 1404.0159, usercpu_time_millis: 190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5496, f_measure: 0.5338, kappa: 0.0998, kb_relative_information_score: 526.3537, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5589, predictive_accuracy: 0.5528, prior_entropy: 0.9998, recall: 0.5528, relative_absolute_error: 0.8946, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6687, root_relative_squared_error: 1.3376, scimark_benchmark: 1346.1733, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6666, f_measure: 0.6187, kappa: 0.238, kb_relative_information_score: 610.8027, mean_absolute_error: 0.4477, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.6199, predictive_accuracy: 0.6196, prior_entropy: 0.9998, recall: 0.6196, relative_absolute_error: 0.8956, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9589, scimark_benchmark: 1249.4068, usercpu_time_millis: 180, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.517, f_measure: 0.516, kappa: 0.0567, kb_relative_information_score: 60.2892, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.4999, number_of_instances: 5000, precision: 0.5321, predictive_accuracy: 0.531, prior_entropy: 0.9998, recall: 0.531, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.0089, scimark_benchmark: 1344.4042, 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