OpenML
Supervised Classification on breast-cancer

Supervised Classification on breast-cancer

Task 1893 Supervised Classification breast-cancer 215 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.7126, kappa: 0.2912, kb_relative_information_score: 532.5695, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.7087, predictive_accuracy: 0.7255, prior_entropy: 0.8796, recall: 0.7255, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.9689, scimark_benchmark: 1322.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, f_measure: 0.6925, kappa: 0.2354, kb_relative_information_score: 301.6356, mean_absolute_error: 0.3606, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6895, predictive_accuracy: 0.714, prior_entropy: 0.8796, recall: 0.714, relative_absolute_error: 0.8621, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.9841, scimark_benchmark: 1351.1238, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5068, f_measure: 0.5908, kappa: 0.019, kb_relative_information_score: 692.7975, mean_absolute_error: 0.2948, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6898, predictive_accuracy: 0.7052, prior_entropy: 0.8796, recall: 0.7052, relative_absolute_error: 0.7046, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5429, root_relative_squared_error: 1.1879, scimark_benchmark: 1352.06, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.7126, kappa: 0.2912, kb_relative_information_score: 532.5695, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.7087, predictive_accuracy: 0.7255, prior_entropy: 0.8796, recall: 0.7255, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.9689, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6726, f_measure: 0.7014, kappa: 0.2605, kb_relative_information_score: 546.3155, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6974, predictive_accuracy: 0.7178, prior_entropy: 0.8796, recall: 0.7178, relative_absolute_error: 0.7764, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4659, root_relative_squared_error: 1.0195, scimark_benchmark: 1322.7257, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, f_measure: 0.6925, kappa: 0.2354, kb_relative_information_score: 301.6356, mean_absolute_error: 0.3606, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6895, predictive_accuracy: 0.714, prior_entropy: 0.8796, recall: 0.714, relative_absolute_error: 0.8621, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.9841, scimark_benchmark: 1260.1387, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6726, f_measure: 0.7014, kappa: 0.2605, kb_relative_information_score: 546.3155, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6974, predictive_accuracy: 0.7178, prior_entropy: 0.8796, recall: 0.7178, relative_absolute_error: 0.7764, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4659, root_relative_squared_error: 1.0195, scimark_benchmark: 942.9708, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, f_measure: 0.6925, kappa: 0.2354, kb_relative_information_score: 301.6356, mean_absolute_error: 0.3606, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6895, predictive_accuracy: 0.714, prior_entropy: 0.8796, recall: 0.714, relative_absolute_error: 0.8621, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.9841, scimark_benchmark: 1326.8946, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.6985, kappa: 0.2555, kb_relative_information_score: 406.1697, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6937, predictive_accuracy: 0.7129, prior_entropy: 0.8796, recall: 0.7129, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9855, scimark_benchmark: 1320.9387, usercpu_time_millis: 1580, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7219, kappa: 0.3185, kb_relative_information_score: 549.8095, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.718, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.7829, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9962, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6726, f_measure: 0.7014, kappa: 0.2605, kb_relative_information_score: 546.3155, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6974, predictive_accuracy: 0.7178, prior_entropy: 0.8796, recall: 0.7178, relative_absolute_error: 0.7764, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4659, root_relative_squared_error: 1.0195, scimark_benchmark: 918.0213, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6654, f_measure: 0.6916, kappa: 0.2339, kb_relative_information_score: 348.849, mean_absolute_error: 0.3592, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6878, predictive_accuracy: 0.7119, prior_entropy: 0.8796, recall: 0.7119, relative_absolute_error: 0.8588, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.9826, scimark_benchmark: 1280.6338, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6461, f_measure: 0.7043, kappa: 0.2646, kb_relative_information_score: 287.8738, mean_absolute_error: 0.3733, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.7027, predictive_accuracy: 0.7248, prior_entropy: 0.8796, recall: 0.7248, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.9597, scimark_benchmark: 1334.6745, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7219, kappa: 0.3185, kb_relative_information_score: 549.8095, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.718, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.7829, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9962, scimark_benchmark: 1315.933, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.7126, kappa: 0.2912, kb_relative_information_score: 532.5695, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.7087, predictive_accuracy: 0.7255, prior_entropy: 0.8796, recall: 0.7255, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.9689, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.7126, kappa: 0.2912, kb_relative_information_score: 532.5695, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.7087, predictive_accuracy: 0.7255, prior_entropy: 0.8796, recall: 0.7255, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.9689, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.7126, kappa: 0.2912, kb_relative_information_score: 532.5695, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.7087, predictive_accuracy: 0.7255, prior_entropy: 0.8796, recall: 0.7255, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.9689, scimark_benchmark: 1360.6585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.6985, kappa: 0.2555, kb_relative_information_score: 406.1697, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6937, predictive_accuracy: 0.7129, prior_entropy: 0.8796, recall: 0.7129, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9855, scimark_benchmark: 1352.2099, usercpu_time_millis: 1830, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.7126, kappa: 0.2912, kb_relative_information_score: 532.5695, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.7087, predictive_accuracy: 0.7255, prior_entropy: 0.8796, recall: 0.7255, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.9689, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.7126, kappa: 0.2912, kb_relative_information_score: 532.5695, mean_absolute_error: 0.3289, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.7087, predictive_accuracy: 0.7255, prior_entropy: 0.8796, recall: 0.7255, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.9689, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5941, f_measure: 0.6939, kappa: 0.2353, kb_relative_information_score: 315.2552, mean_absolute_error: 0.3745, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.7223, predictive_accuracy: 0.7385, prior_entropy: 0.8796, recall: 0.7385, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.446, root_relative_squared_error: 0.976, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6847, f_measure: 0.6988, kappa: 0.2539, kb_relative_information_score: 16.2978, mean_absolute_error: 0.3984, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6947, predictive_accuracy: 0.7157, prior_entropy: 0.8796, recall: 0.7157, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.9638, scimark_benchmark: 1064.8317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6847, f_measure: 0.6988, kappa: 0.2539, kb_relative_information_score: 16.2978, mean_absolute_error: 0.3984, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6947, predictive_accuracy: 0.7157, prior_entropy: 0.8796, recall: 0.7157, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.9638, scimark_benchmark: 1328.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6605, f_measure: 0.6603, kappa: 0.1505, kb_relative_information_score: 228.4445, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6668, predictive_accuracy: 0.7056, prior_entropy: 0.8796, recall: 0.7056, relative_absolute_error: 0.896, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.9723, scimark_benchmark: 892.0148, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.674, f_measure: 0.6114, kappa: 0.0472, kb_relative_information_score: 161.4061, mean_absolute_error: 0.3925, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6375, predictive_accuracy: 0.6997, prior_entropy: 0.8796, recall: 0.6997, relative_absolute_error: 0.9383, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.44, root_relative_squared_error: 0.9628, scimark_benchmark: 909.1698, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6682, f_measure: 0.6224, kappa: 0.0716, kb_relative_information_score: 165.4671, mean_absolute_error: 0.3916, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6582, predictive_accuracy: 0.7052, prior_entropy: 0.8796, recall: 0.7052, relative_absolute_error: 0.9362, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4403, root_relative_squared_error: 0.9633, scimark_benchmark: 1309.4998, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5941, f_measure: 0.6939, kappa: 0.2353, kb_relative_information_score: 315.2552, mean_absolute_error: 0.3745, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.7223, predictive_accuracy: 0.7385, prior_entropy: 0.8796, recall: 0.7385, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.446, root_relative_squared_error: 0.976, scimark_benchmark: 1249.4068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6624, f_measure: 0.6548, kappa: 0.1382, kb_relative_information_score: 216.6133, mean_absolute_error: 0.3771, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6674, predictive_accuracy: 0.7073, prior_entropy: 0.8796, recall: 0.7073, relative_absolute_error: 0.9014, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4438, root_relative_squared_error: 0.9711, scimark_benchmark: 1318.8785, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6847, f_measure: 0.6988, kappa: 0.2539, kb_relative_information_score: 16.2978, mean_absolute_error: 0.3984, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6947, predictive_accuracy: 0.7157, prior_entropy: 0.8796, recall: 0.7157, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.9638, scimark_benchmark: 1343.2125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6066, f_measure: 0.6793, kappa: 0.1997, kb_relative_information_score: 294.3941, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6774, predictive_accuracy: 0.7073, prior_entropy: 0.8796, recall: 0.7073, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4665, root_relative_squared_error: 1.0208, scimark_benchmark: 833.3193, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6654, f_measure: 0.6916, kappa: 0.2339, kb_relative_information_score: 348.849, mean_absolute_error: 0.3592, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6878, predictive_accuracy: 0.7119, prior_entropy: 0.8796, recall: 0.7119, relative_absolute_error: 0.8588, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.9826, scimark_benchmark: 833.3193, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6618, f_measure: 0.7162, kappa: 0.2902, kb_relative_information_score: 345.9417, mean_absolute_error: 0.3616, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.7405, predictive_accuracy: 0.7521, prior_entropy: 0.8796, recall: 0.7521, relative_absolute_error: 0.8645, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.942, scimark_benchmark: 1340.9497, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5591, f_measure: 0.6698, kappa: 0.1853, kb_relative_information_score: 284.1544, mean_absolute_error: 0.3644, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6628, predictive_accuracy: 0.685, prior_entropy: 0.8796, recall: 0.685, relative_absolute_error: 0.8712, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5211, root_relative_squared_error: 1.1401, scimark_benchmark: 1371.9645, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6654, f_measure: 0.6916, kappa: 0.2339, kb_relative_information_score: 348.849, mean_absolute_error: 0.3592, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6878, predictive_accuracy: 0.7119, prior_entropy: 0.8796, recall: 0.7119, relative_absolute_error: 0.8588, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.9826, scimark_benchmark: 1316.5986, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6372, f_measure: 0.6703, kappa: 0.1859, kb_relative_information_score: 239.6791, mean_absolute_error: 0.3695, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6633, predictive_accuracy: 0.686, prior_entropy: 0.8796, recall: 0.686, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.465, root_relative_squared_error: 1.0175, scimark_benchmark: 1337.5749, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6383, f_measure: 0.6707, kappa: 0.1865, kb_relative_information_score: 242.0169, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6637, predictive_accuracy: 0.6867, prior_entropy: 0.8796, recall: 0.6867, relative_absolute_error: 0.8829, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4644, root_relative_squared_error: 1.0161, scimark_benchmark: 1348.7888, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7151, f_measure: 0.7028, kappa: 0.265, kb_relative_information_score: 561.7335, mean_absolute_error: 0.3241, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6986, predictive_accuracy: 0.7182, prior_entropy: 0.8796, recall: 0.7182, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.9624, scimark_benchmark: 1320.9366, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6771, f_measure: 0.608, kappa: 0.0411, kb_relative_information_score: 164.7288, mean_absolute_error: 0.3921, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6354, predictive_accuracy: 0.6997, prior_entropy: 0.8796, recall: 0.6997, relative_absolute_error: 0.9373, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.9614, scimark_benchmark: 1337.0272, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6632, f_measure: 0.6979, kappa: 0.2507, kb_relative_information_score: 323.6581, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6941, predictive_accuracy: 0.7161, prior_entropy: 0.8796, recall: 0.7161, relative_absolute_error: 0.8606, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.9795, scimark_benchmark: 932.0242, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6653, f_measure: 0.6961, kappa: 0.2454, kb_relative_information_score: 320.2226, mean_absolute_error: 0.3608, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6925, predictive_accuracy: 0.7154, prior_entropy: 0.8796, recall: 0.7154, relative_absolute_error: 0.8626, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4451, root_relative_squared_error: 0.974, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6743, f_measure: 0.6962, kappa: 0.246, kb_relative_information_score: 328.9262, mean_absolute_error: 0.3599, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6927, predictive_accuracy: 0.7154, prior_entropy: 0.8796, recall: 0.7154, relative_absolute_error: 0.8604, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.442, root_relative_squared_error: 0.9672, scimark_benchmark: 942.9518, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.681, f_measure: 0.6972, kappa: 0.2524, kb_relative_information_score: 349.5905, mean_absolute_error: 0.3574, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6923, predictive_accuracy: 0.7115, prior_entropy: 0.8796, recall: 0.7115, relative_absolute_error: 0.8544, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.9638, scimark_benchmark: 915.9324, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6693, f_measure: 0.6923, kappa: 0.234, kb_relative_information_score: 454.8784, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.7428, predictive_accuracy: 0.7448, prior_entropy: 0.8796, recall: 0.7448, relative_absolute_error: 0.8245, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.9566, scimark_benchmark: 1325.2092, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6553, f_measure: 0.6895, kappa: 0.2244, kb_relative_information_score: 432.0516, mean_absolute_error: 0.3427, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.7163, predictive_accuracy: 0.735, prior_entropy: 0.8796, recall: 0.735, relative_absolute_error: 0.8193, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4484, root_relative_squared_error: 0.9811, scimark_benchmark: 882.7843, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5791, f_measure: 0.6473, kappa: 0.1575, kb_relative_information_score: 262.0237, mean_absolute_error: 0.3535, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6481, predictive_accuracy: 0.6465, prior_entropy: 0.8796, recall: 0.6465, relative_absolute_error: 0.845, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5946, root_relative_squared_error: 1.3009, scimark_benchmark: 889.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5712, f_measure: 0.6467, kappa: 0.1456, kb_relative_information_score: 292.7933, mean_absolute_error: 0.3493, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6432, predictive_accuracy: 0.6507, prior_entropy: 0.8796, recall: 0.6507, relative_absolute_error: 0.835, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.591, root_relative_squared_error: 1.2932, scimark_benchmark: 1313.9994, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5801, kb_relative_information_score: 674.8486, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.4939, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928, scimark_benchmark: 894.7222, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5897, f_measure: 0.6781, kappa: 0.1998, kb_relative_information_score: 654.3355, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6729, predictive_accuracy: 0.7, prior_entropy: 0.8796, recall: 0.7, relative_absolute_error: 0.7172, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1984, scimark_benchmark: 942.6843, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6623, f_measure: 0.7163, kappa: 0.2905, kb_relative_information_score: 346.2415, mean_absolute_error: 0.3617, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.7421, predictive_accuracy: 0.7528, prior_entropy: 0.8796, recall: 0.7528, relative_absolute_error: 0.8646, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.9385, scimark_benchmark: 885.0921, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5935, f_measure: 0.6785, kappa: 0.2043, kb_relative_information_score: 623.566, mean_absolute_error: 0.3042, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6723, predictive_accuracy: 0.6958, prior_entropy: 0.8796, recall: 0.6958, relative_absolute_error: 0.7272, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5515, root_relative_squared_error: 1.2068, scimark_benchmark: 916.9356, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.6985, kappa: 0.2555, kb_relative_information_score: 406.1697, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6937, predictive_accuracy: 0.7129, prior_entropy: 0.8796, recall: 0.7129, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9855, scimark_benchmark: 1330.0694, usercpu_time_millis: 1560, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7219, kappa: 0.3185, kb_relative_information_score: 549.8095, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.718, predictive_accuracy: 0.7308, prior_entropy: 0.8796, recall: 0.7308, relative_absolute_error: 0.7829, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9962, scimark_benchmark: 1306.6379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6726, f_measure: 0.7014, kappa: 0.2605, kb_relative_information_score: 546.3155, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6974, predictive_accuracy: 0.7178, prior_entropy: 0.8796, recall: 0.7178, relative_absolute_error: 0.7764, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4659, root_relative_squared_error: 1.0195, scimark_benchmark: 1331.6907, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, f_measure: 0.6925, kappa: 0.2354, kb_relative_information_score: 301.6356, mean_absolute_error: 0.3606, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6895, predictive_accuracy: 0.714, prior_entropy: 0.8796, recall: 0.714, relative_absolute_error: 0.8621, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.9841, scimark_benchmark: 1301.9956, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.6627, kappa: 0.1739, kb_relative_information_score: 345.601, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6563, predictive_accuracy: 0.6731, prior_entropy: 0.8796, recall: 0.6731, relative_absolute_error: 0.8218, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5513, root_relative_squared_error: 1.2063, scimark_benchmark: 1315.0767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6026, f_measure: 0.633, kappa: 0.0847, kb_relative_information_score: 127.8154, mean_absolute_error: 0.3881, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6367, predictive_accuracy: 0.6916, prior_entropy: 0.8796, recall: 0.6916, relative_absolute_error: 0.9277, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4634, root_relative_squared_error: 1.0139, scimark_benchmark: 1073.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5899, f_measure: 0.6584, kappa: 0.1458, kb_relative_information_score: 202.7151, mean_absolute_error: 0.3851, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6637, predictive_accuracy: 0.7035, prior_entropy: 0.8796, recall: 0.7035, relative_absolute_error: 0.9206, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4594, root_relative_squared_error: 1.0051, scimark_benchmark: 1355.7054, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5898, f_measure: 0.6634, kappa: 0.1844, kb_relative_information_score: 420.9997, mean_absolute_error: 0.3318, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6596, predictive_accuracy: 0.6682, prior_entropy: 0.8796, recall: 0.6682, relative_absolute_error: 0.7932, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.576, root_relative_squared_error: 1.2604, scimark_benchmark: 1291.6995, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5493, f_measure: 0.6464, kappa: 0.1158, kb_relative_information_score: 549.2062, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6417, predictive_accuracy: 0.6857, prior_entropy: 0.8796, recall: 0.6857, relative_absolute_error: 0.7514, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5607, root_relative_squared_error: 1.2267, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6073, f_measure: 0.6817, kappa: 0.2101, kb_relative_information_score: 271.2062, mean_absolute_error: 0.3681, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6763, predictive_accuracy: 0.7014, prior_entropy: 0.8796, recall: 0.7014, relative_absolute_error: 0.8799, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4774, root_relative_squared_error: 1.0446, scimark_benchmark: 1341.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5318, f_measure: 0.6301, kappa: 0.0749, kb_relative_information_score: 446.641, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.4183, number_of_instances: 2860, precision: 0.6209, predictive_accuracy: 0.6717, prior_entropy: 0.8796, recall: 0.6717, relative_absolute_error: 0.7849, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.573, root_relative_squared_error: 1.2537, scimark_benchmark: 1465.2979,

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