OpenML
Supervised Classification on disclosure_z

Supervised Classification on disclosure_z

Task 4499 Supervised Classification disclosure_z 228 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.1071, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5413, f_measure: 0.5373, kappa: 0.0718, kb_relative_information_score: 89.1312, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5371, predictive_accuracy: 0.5375, prior_entropy: 0.9981, recall: 0.5375, relative_absolute_error: 0.9892, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5024, root_relative_squared_error: 1.0061, scimark_benchmark: 972.587, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.544, f_measure: 0.5454, kappa: 0.0884, kb_relative_information_score: 189.0951, mean_absolute_error: 0.4867, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5454, predictive_accuracy: 0.5453, prior_entropy: 0.9981, recall: 0.5453, relative_absolute_error: 0.9759, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5113, root_relative_squared_error: 1.024, scimark_benchmark: 934.3687, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.4908, kappa: -0.0134, kb_relative_information_score: -17.1561, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.4942, predictive_accuracy: 0.5006, prior_entropy: 0.9981, recall: 0.5006, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.7067, root_relative_squared_error: 1.4152, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.4908, kappa: -0.0134, kb_relative_information_score: -17.1561, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.4942, predictive_accuracy: 0.5006, prior_entropy: 0.9981, recall: 0.5006, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.7067, root_relative_squared_error: 1.4152, scimark_benchmark: 904.0772, usercpu_time_millis: 150, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.1498, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.1498, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5264, f_measure: 0.5236, kappa: 0.0443, kb_relative_information_score: 108.7982, mean_absolute_error: 0.4917, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5236, predictive_accuracy: 0.5255, prior_entropy: 0.9981, recall: 0.5255, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5175, root_relative_squared_error: 1.0363, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5632, f_measure: 0.5505, kappa: 0.1001, kb_relative_information_score: 143.7793, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5523, predictive_accuracy: 0.5545, prior_entropy: 0.9981, recall: 0.5545, relative_absolute_error: 0.983, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9973, scimark_benchmark: 932.2692, usercpu_time_millis: 1220, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.3653, kappa: -0.0026, kb_relative_information_score: -3.2018, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.4508, predictive_accuracy: 0.5242, prior_entropy: 0.9981, recall: 0.5242, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0005, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.4908, kappa: -0.0134, kb_relative_information_score: -17.1561, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.4942, predictive_accuracy: 0.5006, prior_entropy: 0.9981, recall: 0.5006, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.7067, root_relative_squared_error: 1.4152, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.4908, kappa: -0.0134, kb_relative_information_score: -17.1561, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.4942, predictive_accuracy: 0.5006, prior_entropy: 0.9981, recall: 0.5006, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.7067, root_relative_squared_error: 1.4152, scimark_benchmark: 944.1783, usercpu_time_millis: 140, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.1498, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5216, f_measure: 0.524, kappa: 0.045, kb_relative_information_score: 92.0298, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5238, predictive_accuracy: 0.5254, prior_entropy: 0.9981, recall: 0.5254, relative_absolute_error: 0.9881, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5262, root_relative_squared_error: 1.0539, scimark_benchmark: 937.5117, usercpu_time_millis: 250, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.1071, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5413, f_measure: 0.5373, kappa: 0.0718, kb_relative_information_score: 89.1312, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5371, predictive_accuracy: 0.5375, prior_entropy: 0.9981, recall: 0.5375, relative_absolute_error: 0.9892, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5024, root_relative_squared_error: 1.0061, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.544, f_measure: 0.5454, kappa: 0.0884, kb_relative_information_score: 189.0951, mean_absolute_error: 0.4867, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5454, predictive_accuracy: 0.5453, prior_entropy: 0.9981, recall: 0.5453, relative_absolute_error: 0.9759, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5113, root_relative_squared_error: 1.024, scimark_benchmark: 936.2574, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.4908, kappa: -0.0134, kb_relative_information_score: -17.1561, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.4942, predictive_accuracy: 0.5006, prior_entropy: 0.9981, recall: 0.5006, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.7067, root_relative_squared_error: 1.4152, scimark_benchmark: 904.5548, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.1498, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.1498, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.1498, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.1498, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5264, f_measure: 0.5236, kappa: 0.0443, kb_relative_information_score: 108.7982, mean_absolute_error: 0.4917, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5236, predictive_accuracy: 0.5255, prior_entropy: 0.9981, recall: 0.5255, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5175, root_relative_squared_error: 1.0363, scimark_benchmark: 941.4991, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5632, f_measure: 0.5505, kappa: 0.1001, kb_relative_information_score: 143.7793, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5523, predictive_accuracy: 0.5545, prior_entropy: 0.9981, recall: 0.5545, relative_absolute_error: 0.983, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9973, scimark_benchmark: 936.3213, usercpu_time_millis: 1540, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.1498, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.3653, kappa: -0.0026, kb_relative_information_score: -3.2018, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.4508, predictive_accuracy: 0.5242, prior_entropy: 0.9981, recall: 0.5242, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0005, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5216, f_measure: 0.524, kappa: 0.045, kb_relative_information_score: 92.0298, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5238, predictive_accuracy: 0.5254, prior_entropy: 0.9981, recall: 0.5254, relative_absolute_error: 0.9881, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5262, root_relative_squared_error: 1.0539, scimark_benchmark: 941.4991, usercpu_time_millis: 250, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5534, f_measure: 0.543, kappa: 0.0875, kb_relative_information_score: 86.0018, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5466, predictive_accuracy: 0.5494, prior_entropy: 0.9981, recall: 0.5494, relative_absolute_error: 0.9904, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9956, scimark_benchmark: 908.9569, usercpu_time_millis: 830, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5539, f_measure: 0.5428, kappa: 0.0865, kb_relative_information_score: 88.7371, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5459, predictive_accuracy: 0.5486, prior_entropy: 0.9981, recall: 0.5486, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9955, scimark_benchmark: 934.7923, usercpu_time_millis: 270, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5524, f_measure: 0.5443, kappa: 0.0883, kb_relative_information_score: 86.9118, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5465, predictive_accuracy: 0.5491, prior_entropy: 0.9981, recall: 0.5491, relative_absolute_error: 0.9903, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9958, scimark_benchmark: 901.6243, usercpu_time_millis: 150, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.556, f_measure: 0.5508, kappa: 0.1004, kb_relative_information_score: 95.2375, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5523, predictive_accuracy: 0.5545, prior_entropy: 0.9981, recall: 0.5545, relative_absolute_error: 0.9893, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9951, scimark_benchmark: 906.8974, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5542, f_measure: 0.5384, kappa: 0.0787, kb_relative_information_score: 86.3034, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5421, predictive_accuracy: 0.5452, prior_entropy: 0.9981, recall: 0.5452, relative_absolute_error: 0.9903, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9961, scimark_benchmark: 918.0831, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5476, f_measure: 0.5403, kappa: 0.0778, kb_relative_information_score: 192.1763, mean_absolute_error: 0.4859, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5401, predictive_accuracy: 0.5405, prior_entropy: 0.9981, recall: 0.5405, relative_absolute_error: 0.9743, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5081, root_relative_squared_error: 1.0176, scimark_benchmark: 941.9549, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5476, f_measure: 0.5403, kappa: 0.0778, kb_relative_information_score: 192.1763, mean_absolute_error: 0.4859, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5401, predictive_accuracy: 0.5405, prior_entropy: 0.9981, recall: 0.5405, relative_absolute_error: 0.9743, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5081, root_relative_squared_error: 1.0176, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5476, f_measure: 0.5403, kappa: 0.0778, kb_relative_information_score: 192.1763, mean_absolute_error: 0.4859, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5401, predictive_accuracy: 0.5405, prior_entropy: 0.9981, recall: 0.5405, relative_absolute_error: 0.9743, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5081, root_relative_squared_error: 1.0176, scimark_benchmark: 894.7131, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5473, f_measure: 0.5403, kappa: 0.0778, kb_relative_information_score: 191.3701, mean_absolute_error: 0.4859, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5401, predictive_accuracy: 0.5405, prior_entropy: 0.9981, recall: 0.5405, relative_absolute_error: 0.9744, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5082, root_relative_squared_error: 1.0177, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5499, f_measure: 0.5432, kappa: 0.0842, kb_relative_information_score: 192.5836, mean_absolute_error: 0.486, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5433, predictive_accuracy: 0.5431, prior_entropy: 0.9981, recall: 0.5431, relative_absolute_error: 0.9746, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5061, root_relative_squared_error: 1.0136, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.4908, kappa: -0.0134, kb_relative_information_score: -17.1561, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.4942, predictive_accuracy: 0.5006, prior_entropy: 0.9981, recall: 0.5006, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.7067, root_relative_squared_error: 1.4152, scimark_benchmark: 1324.8408, usercpu_time_millis: 130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.1498, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1324.6442, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.1071, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.4908, kappa: -0.0134, kb_relative_information_score: -17.1561, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.4942, predictive_accuracy: 0.5006, prior_entropy: 0.9981, recall: 0.5006, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.7067, root_relative_squared_error: 1.4152, scimark_benchmark: 1338.6772, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.1498, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.1498, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.1498, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.1498, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5264, f_measure: 0.5236, kappa: 0.0443, kb_relative_information_score: 108.7982, mean_absolute_error: 0.4917, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5236, predictive_accuracy: 0.5255, prior_entropy: 0.9981, recall: 0.5255, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5175, root_relative_squared_error: 1.0363, scimark_benchmark: 1342.8584, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5632, f_measure: 0.5505, kappa: 0.1001, kb_relative_information_score: 143.7793, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5523, predictive_accuracy: 0.5545, prior_entropy: 0.9981, recall: 0.5545, relative_absolute_error: 0.983, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9973, scimark_benchmark: 1322.0065, usercpu_time_millis: 1730, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.1498, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1331.4379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.544, f_measure: 0.5454, kappa: 0.0884, kb_relative_information_score: 189.0951, mean_absolute_error: 0.4867, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5454, predictive_accuracy: 0.5453, prior_entropy: 0.9981, recall: 0.5453, relative_absolute_error: 0.9759, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5113, root_relative_squared_error: 1.024, scimark_benchmark: 1307.9497, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.1498, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1326.2019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.1498, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1332.7986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.1498, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1345.6844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.1498, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1332.7986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.3653, kappa: -0.0026, kb_relative_information_score: -3.2018, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.4508, predictive_accuracy: 0.5242, prior_entropy: 0.9981, recall: 0.5242, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0005, scimark_benchmark: 1322.1893, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5216, f_measure: 0.524, kappa: 0.045, kb_relative_information_score: 92.0298, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.5238, predictive_accuracy: 0.5254, prior_entropy: 0.9981, recall: 0.5254, relative_absolute_error: 0.9881, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.5262, root_relative_squared_error: 1.0539, scimark_benchmark: 1346.2927, usercpu_time_millis: 260, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.3623, kb_relative_information_score: -0.1071, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4987, number_of_instances: 6620, precision: 0.2763, predictive_accuracy: 0.5257, prior_entropy: 0.9981, recall: 0.5257, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4993, root_relative_squared_error: 1, scimark_benchmark: 1313.8988,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs