OpenML
Supervised Classification on wisconsin

Supervised Classification on wisconsin

Task 4324 Supervised Classification wisconsin 208 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5742, f_measure: 0.5637, kappa: 0.1298, kb_relative_information_score: 157.0804, mean_absolute_error: 0.4603, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5681, predictive_accuracy: 0.5634, prior_entropy: 0.9963, recall: 0.5634, relative_absolute_error: 0.9255, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5454, root_relative_squared_error: 1.0937, scimark_benchmark: 1336.4564, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5803, f_measure: 0.5698, kappa: 0.134, kb_relative_information_score: 103.6595, mean_absolute_error: 0.4752, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5695, predictive_accuracy: 0.5711, prior_entropy: 0.9963, recall: 0.5711, relative_absolute_error: 0.9553, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5053, root_relative_squared_error: 1.0132, scimark_benchmark: 1344.3409, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5803, f_measure: 0.5698, kappa: 0.134, kb_relative_information_score: 103.6595, mean_absolute_error: 0.4752, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5695, predictive_accuracy: 0.5711, prior_entropy: 0.9963, recall: 0.5711, relative_absolute_error: 0.9553, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5053, root_relative_squared_error: 1.0132, scimark_benchmark: 1325.1482, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4695, f_measure: 0.4556, kappa: -0.0295, kb_relative_information_score: -27.5295, mean_absolute_error: 0.5032, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.4808, predictive_accuracy: 0.5082, prior_entropy: 0.9963, recall: 0.5082, relative_absolute_error: 1.0117, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5153, root_relative_squared_error: 1.0333, scimark_benchmark: 1385.8862, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3742, kb_relative_information_score: 126.5311, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.2874, predictive_accuracy: 0.5361, prior_entropy: 0.9963, recall: 0.5361, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6811, root_relative_squared_error: 1.3658, scimark_benchmark: 1322.3461, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4695, f_measure: 0.456, kappa: -0.0293, kb_relative_information_score: -27.709, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.481, predictive_accuracy: 0.5082, prior_entropy: 0.9963, recall: 0.5082, relative_absolute_error: 1.0118, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0335, scimark_benchmark: 1260.1387, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4695, f_measure: 0.456, kappa: -0.0293, kb_relative_information_score: -27.709, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.481, predictive_accuracy: 0.5082, prior_entropy: 0.9963, recall: 0.5082, relative_absolute_error: 1.0118, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0335, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5803, f_measure: 0.5698, kappa: 0.134, kb_relative_information_score: 103.6595, mean_absolute_error: 0.4752, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5695, predictive_accuracy: 0.5711, prior_entropy: 0.9963, recall: 0.5711, relative_absolute_error: 0.9553, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5053, root_relative_squared_error: 1.0132, scimark_benchmark: 1260.1387, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4695, f_measure: 0.456, kappa: -0.0293, kb_relative_information_score: -27.9039, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.481, predictive_accuracy: 0.5082, prior_entropy: 0.9963, recall: 0.5082, relative_absolute_error: 1.0119, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5155, root_relative_squared_error: 1.0337, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5742, f_measure: 0.5637, kappa: 0.1298, kb_relative_information_score: 157.0804, mean_absolute_error: 0.4603, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5681, predictive_accuracy: 0.5634, prior_entropy: 0.9963, recall: 0.5634, relative_absolute_error: 0.9255, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5454, root_relative_squared_error: 1.0937, scimark_benchmark: 1344.4042, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5803, f_measure: 0.5698, kappa: 0.134, kb_relative_information_score: 103.6595, mean_absolute_error: 0.4752, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5695, predictive_accuracy: 0.5711, prior_entropy: 0.9963, recall: 0.5711, relative_absolute_error: 0.9553, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5053, root_relative_squared_error: 1.0132, scimark_benchmark: 1281.7531, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5095, f_measure: 0.5048, kappa: 0.0048, kb_relative_information_score: 19.1399, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.505, predictive_accuracy: 0.5046, prior_entropy: 0.9963, recall: 0.5046, relative_absolute_error: 0.9883, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6347, root_relative_squared_error: 1.2727, scimark_benchmark: 942.9708, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4695, f_measure: 0.456, kappa: -0.0293, kb_relative_information_score: -27.709, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.481, predictive_accuracy: 0.5082, prior_entropy: 0.9963, recall: 0.5082, relative_absolute_error: 1.0118, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0335, scimark_benchmark: 1341.5795, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4695, f_measure: 0.456, kappa: -0.0293, kb_relative_information_score: -27.709, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.481, predictive_accuracy: 0.5082, prior_entropy: 0.9963, recall: 0.5082, relative_absolute_error: 1.0118, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0335, scimark_benchmark: 1312.2688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4695, f_measure: 0.456, kappa: -0.0293, kb_relative_information_score: -27.709, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.481, predictive_accuracy: 0.5082, prior_entropy: 0.9963, recall: 0.5082, relative_absolute_error: 1.0118, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0335, scimark_benchmark: 1312.2688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5938, f_measure: 0.5798, kappa: 0.1543, kb_relative_information_score: 77.2929, mean_absolute_error: 0.4819, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5802, predictive_accuracy: 0.5825, prior_entropy: 0.9963, recall: 0.5825, relative_absolute_error: 0.9688, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.4941, root_relative_squared_error: 0.9908, scimark_benchmark: 1331.7205, usercpu_time_millis: 260, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5844, f_measure: 0.5596, kappa: 0.1153, kb_relative_information_score: 139.8938, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.56, predictive_accuracy: 0.5593, prior_entropy: 0.9963, recall: 0.5593, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0335, scimark_benchmark: 1347.917, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4695, f_measure: 0.456, kappa: -0.0293, kb_relative_information_score: -27.9039, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.481, predictive_accuracy: 0.5082, prior_entropy: 0.9963, recall: 0.5082, relative_absolute_error: 1.0119, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5155, root_relative_squared_error: 1.0337, scimark_benchmark: 1315.933, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4695, f_measure: 0.456, kappa: -0.0293, kb_relative_information_score: -27.709, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.481, predictive_accuracy: 0.5082, prior_entropy: 0.9963, recall: 0.5082, relative_absolute_error: 1.0118, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0335, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4695, f_measure: 0.456, kappa: -0.0293, kb_relative_information_score: -27.9039, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.481, predictive_accuracy: 0.5082, prior_entropy: 0.9963, recall: 0.5082, relative_absolute_error: 1.0119, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5155, root_relative_squared_error: 1.0337, scimark_benchmark: 1335.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5075, f_measure: 0.5029, kappa: 0.0148, kb_relative_information_score: -0.4014, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5102, predictive_accuracy: 0.5036, prior_entropy: 0.9963, recall: 0.5036, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.7046, root_relative_squared_error: 1.4128, scimark_benchmark: 1339.8573, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4882, f_measure: 0.4919, kappa: -0.0063, kb_relative_information_score: -46.9748, mean_absolute_error: 0.5084, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.4993, predictive_accuracy: 0.4928, prior_entropy: 0.9963, recall: 0.4928, relative_absolute_error: 1.0221, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6914, root_relative_squared_error: 1.3865, scimark_benchmark: 1318.6149, usercpu_time_millis: 2360, usercpu_time_millis_testing: 2360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5844, f_measure: 0.5596, kappa: 0.1153, kb_relative_information_score: 139.8938, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.56, predictive_accuracy: 0.5593, prior_entropy: 0.9963, recall: 0.5593, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0335, scimark_benchmark: 1314.7093, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5453, f_measure: 0.541, kappa: 0.0777, kb_relative_information_score: 115.5223, mean_absolute_error: 0.4685, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5412, predictive_accuracy: 0.5407, prior_entropy: 0.9963, recall: 0.5407, relative_absolute_error: 0.9418, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5856, root_relative_squared_error: 1.1743, scimark_benchmark: 1328.941, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5921, f_measure: 0.5771, kappa: 0.1492, kb_relative_information_score: 78.1242, mean_absolute_error: 0.4815, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5779, predictive_accuracy: 0.5804, prior_entropy: 0.9963, recall: 0.5804, relative_absolute_error: 0.9681, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.9915, scimark_benchmark: 1345.7582, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5883, f_measure: 0.5775, kappa: 0.1496, kb_relative_information_score: 103.8799, mean_absolute_error: 0.4754, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5772, predictive_accuracy: 0.5784, prior_entropy: 0.9963, recall: 0.5784, relative_absolute_error: 0.9557, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0017, scimark_benchmark: 1323.7742, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5836, f_measure: 0.568, kappa: 0.1316, kb_relative_information_score: 81.341, mean_absolute_error: 0.4803, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5696, predictive_accuracy: 0.5727, prior_entropy: 0.9963, recall: 0.5727, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9965, scimark_benchmark: 1351.9369, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5934, f_measure: 0.5752, kappa: 0.1453, kb_relative_information_score: 77.6882, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5758, predictive_accuracy: 0.5784, prior_entropy: 0.9963, recall: 0.5784, relative_absolute_error: 0.9685, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9909, scimark_benchmark: 1327.5791, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5299, f_measure: 0.5217, kappa: 0.0384, kb_relative_information_score: 59.0929, mean_absolute_error: 0.482, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5217, predictive_accuracy: 0.5216, prior_entropy: 0.9963, recall: 0.5216, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5818, root_relative_squared_error: 1.1665, scimark_benchmark: 1339.4964, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5963, f_measure: 0.5843, kappa: 0.1633, kb_relative_information_score: 111.1368, mean_absolute_error: 0.4741, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.584, predictive_accuracy: 0.5851, prior_entropy: 0.9963, recall: 0.5851, relative_absolute_error: 0.9531, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9971, scimark_benchmark: 1314.7093, usercpu_time_millis: 420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5901, f_measure: 0.5689, kappa: 0.1329, kb_relative_information_score: 172.0158, mean_absolute_error: 0.4562, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5687, predictive_accuracy: 0.5691, prior_entropy: 0.9963, recall: 0.5691, relative_absolute_error: 0.9172, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5277, root_relative_squared_error: 1.0582, scimark_benchmark: 1261.7298, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.4895, kappa: 0.0086, kb_relative_information_score: 0.5215, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5073, predictive_accuracy: 0.4959, prior_entropy: 0.9963, recall: 0.4959, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.519, root_relative_squared_error: 1.0407, scimark_benchmark: 1308.3432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5742, f_measure: 0.5637, kappa: 0.1298, kb_relative_information_score: 157.0804, mean_absolute_error: 0.4603, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5681, predictive_accuracy: 0.5634, prior_entropy: 0.9963, recall: 0.5634, relative_absolute_error: 0.9255, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5454, root_relative_squared_error: 1.0937, scimark_benchmark: 1360.1753, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5264, f_measure: 0.5215, kappa: 0.0391, kb_relative_information_score: 62.4463, mean_absolute_error: 0.4813, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.522, predictive_accuracy: 0.5211, prior_entropy: 0.9963, recall: 0.5211, relative_absolute_error: 0.9676, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6022, root_relative_squared_error: 1.2076, scimark_benchmark: 961.21, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4695, f_measure: 0.456, kappa: -0.0293, kb_relative_information_score: -27.9039, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.481, predictive_accuracy: 0.5082, prior_entropy: 0.9963, recall: 0.5082, relative_absolute_error: 1.0119, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5155, root_relative_squared_error: 1.0337, scimark_benchmark: 934.4732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6309, f_measure: 0.5482, kappa: 0.1711, kb_relative_information_score: 131.6988, mean_absolute_error: 0.4669, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.6192, predictive_accuracy: 0.5716, prior_entropy: 0.9963, recall: 0.5716, relative_absolute_error: 0.9386, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.4956, root_relative_squared_error: 0.9939, scimark_benchmark: 1337.6765, usercpu_time_millis: 420, usercpu_time_millis_testing: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5536, f_measure: 0.5558, kappa: 0.1071, kb_relative_information_score: 203.0935, mean_absolute_error: 0.4443, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5559, predictive_accuracy: 0.5557, prior_entropy: 0.9963, recall: 0.5557, relative_absolute_error: 0.8933, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6666, root_relative_squared_error: 1.3366, scimark_benchmark: 1319.4881, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3742, kb_relative_information_score: 126.5311, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.2874, predictive_accuracy: 0.5361, prior_entropy: 0.9963, recall: 0.5361, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6811, root_relative_squared_error: 1.3658, scimark_benchmark: 1287.514, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6197, f_measure: 0.6227, kappa: 0.2404, kb_relative_information_score: 469.0473, mean_absolute_error: 0.3763, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.6226, predictive_accuracy: 0.6237, prior_entropy: 0.9963, recall: 0.6237, relative_absolute_error: 0.7565, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6134, root_relative_squared_error: 1.2301, scimark_benchmark: 912.5006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6089, f_measure: 0.5884, kappa: 0.1714, kb_relative_information_score: 149.8562, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5882, predictive_accuracy: 0.5897, prior_entropy: 0.9963, recall: 0.5897, relative_absolute_error: 0.9327, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.9975, scimark_benchmark: 918.6005, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5075, f_measure: 0.5029, kappa: 0.0148, kb_relative_information_score: -0.4014, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5102, predictive_accuracy: 0.5036, prior_entropy: 0.9963, recall: 0.5036, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.7046, root_relative_squared_error: 1.4128, scimark_benchmark: 1280.6952, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5488, f_measure: 0.5486, kappa: 0.0929, kb_relative_information_score: 92.773, mean_absolute_error: 0.4755, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5488, predictive_accuracy: 0.5485, prior_entropy: 0.9963, recall: 0.5485, relative_absolute_error: 0.956, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.538, root_relative_squared_error: 1.0788, scimark_benchmark: 938.0414, usercpu_time_millis: 1480, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5803, f_measure: 0.5698, kappa: 0.134, kb_relative_information_score: 103.6595, mean_absolute_error: 0.4752, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5695, predictive_accuracy: 0.5711, prior_entropy: 0.9963, recall: 0.5711, relative_absolute_error: 0.9553, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5053, root_relative_squared_error: 1.0132, scimark_benchmark: 1319.5177, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5334, f_measure: 0.5357, kappa: 0.0668, kb_relative_information_score: 124.5163, mean_absolute_error: 0.4644, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5358, predictive_accuracy: 0.5356, prior_entropy: 0.9963, recall: 0.5356, relative_absolute_error: 0.9337, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6815, root_relative_squared_error: 1.3665, scimark_benchmark: 1313.5726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.541, f_measure: 0.5326, kappa: 0.0616, kb_relative_information_score: 66.3701, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5342, predictive_accuracy: 0.5392, prior_entropy: 0.9963, recall: 0.5392, relative_absolute_error: 0.9685, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5362, root_relative_squared_error: 1.0752, scimark_benchmark: 1361.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5545, f_measure: 0.548, kappa: 0.0904, kb_relative_information_score: 103.4614, mean_absolute_error: 0.4732, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5481, predictive_accuracy: 0.551, prior_entropy: 0.9963, recall: 0.551, relative_absolute_error: 0.9513, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5405, root_relative_squared_error: 1.0839, scimark_benchmark: 1318.1432, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5549, f_measure: 0.5574, kappa: 0.1113, kb_relative_information_score: 233.3155, mean_absolute_error: 0.4366, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5597, predictive_accuracy: 0.5634, prior_entropy: 0.9963, recall: 0.5634, relative_absolute_error: 0.8777, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6608, root_relative_squared_error: 1.325, scimark_benchmark: 1325.942, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.4185, kappa: -0.0065, kb_relative_information_score: 94.2943, mean_absolute_error: 0.4722, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.492, predictive_accuracy: 0.5278, prior_entropy: 0.9963, recall: 0.5278, relative_absolute_error: 0.9492, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6871, root_relative_squared_error: 1.3779, scimark_benchmark: 1380.0066, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5484, f_measure: 0.5314, kappa: 0.0895, kb_relative_information_score: 105.1446, mean_absolute_error: 0.4701, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5515, predictive_accuracy: 0.5371, prior_entropy: 0.9963, recall: 0.5371, relative_absolute_error: 0.945, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.0935, scimark_benchmark: 1330.0803, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4547, f_measure: 0.458, kappa: -0.0912, kb_relative_information_score: -169.6447, mean_absolute_error: 0.5397, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.457, predictive_accuracy: 0.4603, prior_entropy: 0.9963, recall: 0.4603, relative_absolute_error: 1.085, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.7346, root_relative_squared_error: 1.4731, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5465, f_measure: 0.547, kappa: 0.0925, kb_relative_information_score: 166.8271, mean_absolute_error: 0.4536, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5488, predictive_accuracy: 0.5464, prior_entropy: 0.9963, recall: 0.5464, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6735, root_relative_squared_error: 1.3505, scimark_benchmark: 1341.2341, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4885, f_measure: 0.3742, kb_relative_information_score: -0.2409, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.2874, predictive_accuracy: 0.5361, prior_entropy: 0.9963, recall: 0.5361, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0001, scimark_benchmark: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5384, f_measure: 0.5389, kappa: 0.0841, kb_relative_information_score: 100.8187, mean_absolute_error: 0.4717, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5455, predictive_accuracy: 0.5392, prior_entropy: 0.9963, recall: 0.5392, relative_absolute_error: 0.9482, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5758, root_relative_squared_error: 1.1547, scimark_benchmark: 1418.5826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5206, build_cpu_time: 3.9051, build_memory: 112934997.8392, f_measure: 0.5147, kappa: 0.024, kb_relative_information_score: 43.8147, mean_absolute_error: 0.4851, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5146, predictive_accuracy: 0.5149, prior_entropy: 0.9963, recall: 0.5149, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6916, root_relative_squared_error: 1.3868, scimark_benchmark: 909.9339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5293, build_cpu_time: 2.5535, build_memory: 1402328489.4144, f_measure: 0.5285, kappa: 0.0514, kb_relative_information_score: 91.2655, mean_absolute_error: 0.4731, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5282, predictive_accuracy: 0.5289, prior_entropy: 0.9963, recall: 0.5289, relative_absolute_error: 0.9511, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6801, root_relative_squared_error: 1.3637, scimark_benchmark: 890.4487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5408, build_cpu_time: 1.0135, build_memory: 932901902.2515, f_measure: 0.5283, kappa: 0.0508, kb_relative_information_score: 98.6416, mean_absolute_error: 0.4712, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5279, predictive_accuracy: 0.5289, prior_entropy: 0.9963, recall: 0.5289, relative_absolute_error: 0.9472, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6733, root_relative_squared_error: 1.3501, scimark_benchmark: 938.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5408, build_cpu_time: 1.0242, build_memory: 742450280.6268, f_measure: 0.5283, kappa: 0.0508, kb_relative_information_score: 98.6416, mean_absolute_error: 0.4712, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5279, predictive_accuracy: 0.5289, prior_entropy: 0.9963, recall: 0.5289, relative_absolute_error: 0.9472, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6733, root_relative_squared_error: 1.3501, scimark_benchmark: 944.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5408, build_cpu_time: 1.0009, build_memory: 2141955091.5423, f_measure: 0.5283, kappa: 0.0508, kb_relative_information_score: 98.6416, mean_absolute_error: 0.4712, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5279, predictive_accuracy: 0.5289, prior_entropy: 0.9963, recall: 0.5289, relative_absolute_error: 0.9472, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6733, root_relative_squared_error: 1.3501, scimark_benchmark: 931.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5549, build_cpu_time: 0.5021, build_memory: 774417017.1052, f_measure: 0.5396, kappa: 0.0741, kb_relative_information_score: 136.8166, mean_absolute_error: 0.4613, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5395, predictive_accuracy: 0.5397, prior_entropy: 0.9963, recall: 0.5397, relative_absolute_error: 0.9273, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6596, root_relative_squared_error: 1.3226, scimark_benchmark: 943.1654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5549, build_cpu_time: 0.4885, build_memory: 57547979.068, f_measure: 0.5396, kappa: 0.0741, kb_relative_information_score: 136.8166, mean_absolute_error: 0.4613, mean_prior_absolute_error: 0.4974, number_of_instances: 1940, precision: 0.5395, predictive_accuracy: 0.5397, prior_entropy: 0.9963, recall: 0.5397, relative_absolute_error: 0.9273, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6596, root_relative_squared_error: 1.3226, scimark_benchmark: 943.8925,

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