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OpenML
OpenML
Supervised Classification on BNG(breast-w)

Supervised Classification on BNG(breast-w)

Task 2142 Supervised Classification BNG(breast-w) 354 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9817, kappa: 0.9595, kb_relative_information_score: 37310.8002, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9817, predictive_accuracy: 0.9817, prior_entropy: 0.9287, recall: 0.9817, relative_absolute_error: 0.0521, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1234, root_relative_squared_error: 0.2598, scimark_benchmark: 825.5282, usercpu_time_millis: 309440, usercpu_time_millis_testing: 309430, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9795, kappa: 0.9545, kb_relative_information_score: 37497.2647, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9795, predictive_accuracy: 0.9795, prior_entropy: 0.9287, recall: 0.9795, relative_absolute_error: 0.0455, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1433, root_relative_squared_error: 0.3016, scimark_benchmark: 1363.454, usercpu_time_millis: 1830, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9787, kappa: 0.9529, kb_relative_information_score: 37425.5802, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9788, predictive_accuracy: 0.9787, prior_entropy: 0.9287, recall: 0.9787, relative_absolute_error: 0.0472, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.146, root_relative_squared_error: 0.3073, scimark_benchmark: 1325.2092, usercpu_time_millis: 480660, usercpu_time_millis_testing: 27030, usercpu_time_millis_training: 453630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9799, kappa: 0.9555, kb_relative_information_score: 37534.2632, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9799, predictive_accuracy: 0.9799, prior_entropy: 0.9287, recall: 0.9799, relative_absolute_error: 0.0446, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.2986, scimark_benchmark: 1318.1432, usercpu_time_millis: 2480, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9791, kappa: 0.9537, kb_relative_information_score: 36728.4295, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9791, predictive_accuracy: 0.9791, prior_entropy: 0.9287, recall: 0.9791, relative_absolute_error: 0.0709, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.2656, scimark_benchmark: 885.0921, usercpu_time_millis: 9820, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 9780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9794, kappa: 0.9543, kb_relative_information_score: 37485.7027, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9794, predictive_accuracy: 0.9793, prior_entropy: 0.9287, recall: 0.9793, relative_absolute_error: 0.0458, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.3025, scimark_benchmark: 912.5006, usercpu_time_millis: 3340, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 3300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.975, kappa: 0.9449, kb_relative_information_score: 37039.0895, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9757, predictive_accuracy: 0.9749, prior_entropy: 0.9287, recall: 0.9749, relative_absolute_error: 0.0571, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.3134, scimark_benchmark: 1028.5889, usercpu_time_millis: 500, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9849, kappa: 0.9665, kb_relative_information_score: 37531.5912, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9849, predictive_accuracy: 0.9849, prior_entropy: 0.9287, recall: 0.9849, relative_absolute_error: 0.0488, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.2288, scimark_benchmark: 1316.0472, usercpu_time_millis: 15590, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 15370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9863, kappa: 0.9696, kb_relative_information_score: 37404.2666, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9863, predictive_accuracy: 0.9863, prior_entropy: 0.9287, recall: 0.9863, relative_absolute_error: 0.0536, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1039, root_relative_squared_error: 0.2188, scimark_benchmark: 1319.9043, usercpu_time_millis: 21970, usercpu_time_millis_testing: 2380, usercpu_time_millis_training: 19590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9765, kappa: 0.9479, kb_relative_information_score: 37224.401, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9765, predictive_accuracy: 0.9765, prior_entropy: 0.9287, recall: 0.9765, relative_absolute_error: 0.0521, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1534, root_relative_squared_error: 0.3228, scimark_benchmark: 825.5282, usercpu_time_millis: 680, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9797, kappa: 0.9551, kb_relative_information_score: 36967.2287, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9797, predictive_accuracy: 0.9797, prior_entropy: 0.9287, recall: 0.9797, relative_absolute_error: 0.064, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1305, root_relative_squared_error: 0.2747, scimark_benchmark: 1318.1432, usercpu_time_millis: 1180, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.982, kappa: 0.9602, kb_relative_information_score: 37118.2385, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9821, predictive_accuracy: 0.982, prior_entropy: 0.9287, recall: 0.982, relative_absolute_error: 0.0611, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1264, root_relative_squared_error: 0.266, scimark_benchmark: 1073.494, usercpu_time_millis: 20030, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.9371, kappa: 0.8585, kb_relative_information_score: 33781.2306, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9431, predictive_accuracy: 0.9387, prior_entropy: 0.9287, recall: 0.9387, relative_absolute_error: 0.1359, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.2477, root_relative_squared_error: 0.5214, scimark_benchmark: 1384.4418, usercpu_time_millis: 8200, usercpu_time_millis_testing: 2040, usercpu_time_millis_training: 6160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9826, kappa: 0.9615, kb_relative_information_score: 37327.9993, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9826, predictive_accuracy: 0.9826, prior_entropy: 0.9287, recall: 0.9826, relative_absolute_error: 0.0534, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1171, root_relative_squared_error: 0.2465, scimark_benchmark: 1358.4523, usercpu_time_millis: 1790, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.9114, kappa: 0.8035, kb_relative_information_score: 31318.5197, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9113, predictive_accuracy: 0.9116, prior_entropy: 0.9287, recall: 0.9116, relative_absolute_error: 0.1958, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.6258, scimark_benchmark: 1465.2979, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9796, kappa: 0.9549, kb_relative_information_score: 37504.2019, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9798, predictive_accuracy: 0.9796, prior_entropy: 0.9287, recall: 0.9796, relative_absolute_error: 0.0453, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.143, root_relative_squared_error: 0.301, scimark_benchmark: 1392.1129, usercpu_time_millis: 3170, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5196, kb_relative_information_score: -0.1453, mean_absolute_error: 0.4514, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.4302, predictive_accuracy: 0.6559, prior_entropy: 0.9287, recall: 0.6559, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.4751, root_relative_squared_error: 1, scimark_benchmark: 1054.3694, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.982, kappa: 0.9602, kb_relative_information_score: 37350.6886, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.982, predictive_accuracy: 0.982, prior_entropy: 0.9287, recall: 0.982, relative_absolute_error: 0.0529, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.2683, scimark_benchmark: 1028.5889, usercpu_time_millis: 1380, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9561, kappa: 0.9041, kb_relative_information_score: 35428.2696, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.959, predictive_accuracy: 0.9557, prior_entropy: 0.9287, recall: 0.9557, relative_absolute_error: 0.0948, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.198, root_relative_squared_error: 0.4168, scimark_benchmark: 908.0036, usercpu_time_millis: 5590, usercpu_time_millis_testing: 1600, usercpu_time_millis_training: 3990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.974, kappa: 0.9425, kb_relative_information_score: 36923.9582, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9743, predictive_accuracy: 0.9739, prior_entropy: 0.9287, recall: 0.9739, relative_absolute_error: 0.0599, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.3191, scimark_benchmark: 942.6953, usercpu_time_millis: 10260, usercpu_time_millis_testing: 2830, usercpu_time_millis_training: 7430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9757, kappa: 0.9462, kb_relative_information_score: 36469.1468, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9758, predictive_accuracy: 0.9756, prior_entropy: 0.9287, recall: 0.9756, relative_absolute_error: 0.0762, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.294, scimark_benchmark: 926.6717, usercpu_time_millis: 5170, usercpu_time_millis_testing: 1280, usercpu_time_millis_training: 3890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9757, kappa: 0.9462, kb_relative_information_score: 36469.1468, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9758, predictive_accuracy: 0.9756, prior_entropy: 0.9287, recall: 0.9756, relative_absolute_error: 0.0762, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.294, scimark_benchmark: 911.0478, usercpu_time_millis: 4440, usercpu_time_millis_testing: 1130, usercpu_time_millis_training: 3310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9757, kappa: 0.9462, kb_relative_information_score: 36469.1468, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9758, predictive_accuracy: 0.9756, prior_entropy: 0.9287, recall: 0.9756, relative_absolute_error: 0.0762, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.294, scimark_benchmark: 938.2848, usercpu_time_millis: 4460, usercpu_time_millis_testing: 1100, usercpu_time_millis_training: 3360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9828, kappa: 0.9619, kb_relative_information_score: 37779.0561, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9828, predictive_accuracy: 0.9828, prior_entropy: 0.9287, recall: 0.9828, relative_absolute_error: 0.0389, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1223, root_relative_squared_error: 0.2575, scimark_benchmark: 938.4285, usercpu_time_millis: 27720, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 27440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9821, kappa: 0.9604, kb_relative_information_score: 37696.4135, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9821, predictive_accuracy: 0.9821, prior_entropy: 0.9287, recall: 0.9821, relative_absolute_error: 0.041, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.127, root_relative_squared_error: 0.2673, scimark_benchmark: 938.4278, usercpu_time_millis: 17750, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 17610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9779, kappa: 0.951, kb_relative_information_score: 37318.5828, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9779, predictive_accuracy: 0.9778, prior_entropy: 0.9287, recall: 0.9778, relative_absolute_error: 0.0502, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.2936, scimark_benchmark: 938.2848, usercpu_time_millis: 5930, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 5840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9638, kappa: 0.9196, kb_relative_information_score: 36053.0746, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9639, predictive_accuracy: 0.9639, prior_entropy: 0.9287, recall: 0.9639, relative_absolute_error: 0.0809, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.3882, scimark_benchmark: 938.2848, usercpu_time_millis: 3500, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 3440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9544, kappa: 0.8981, kb_relative_information_score: 33938.0514, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9552, predictive_accuracy: 0.9548, prior_entropy: 0.9287, recall: 0.9548, relative_absolute_error: 0.1345, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.217, root_relative_squared_error: 0.4567, scimark_benchmark: 923.7642, usercpu_time_millis: 2110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9859, kappa: 0.9688, kb_relative_information_score: 37576.8929, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9859, predictive_accuracy: 0.9859, prior_entropy: 0.9287, recall: 0.9859, relative_absolute_error: 0.0479, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1042, root_relative_squared_error: 0.2194, scimark_benchmark: 911.0478, usercpu_time_millis: 24790, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 24760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9859, kappa: 0.9687, kb_relative_information_score: 37544.6928, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9859, predictive_accuracy: 0.9859, prior_entropy: 0.9287, recall: 0.9859, relative_absolute_error: 0.0488, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1048, root_relative_squared_error: 0.2206, scimark_benchmark: 924.6116, usercpu_time_millis: 11700, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 11670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9853, kappa: 0.9676, kb_relative_information_score: 37493.8763, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9854, predictive_accuracy: 0.9853, prior_entropy: 0.9287, recall: 0.9853, relative_absolute_error: 0.0504, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1053, root_relative_squared_error: 0.2217, scimark_benchmark: 924.6116, usercpu_time_millis: 4710, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 4680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9843, kappa: 0.9653, kb_relative_information_score: 37283.5312, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9843, predictive_accuracy: 0.9843, prior_entropy: 0.9287, recall: 0.9843, relative_absolute_error: 0.0565, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.2304, scimark_benchmark: 934.5243, usercpu_time_millis: 3490, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9789, kappa: 0.9532, kb_relative_information_score: 36524.5298, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9789, predictive_accuracy: 0.9789, prior_entropy: 0.9287, recall: 0.9789, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.2655, scimark_benchmark: 945.6434, usercpu_time_millis: 1300, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5196, kb_relative_information_score: -0.1453, mean_absolute_error: 0.4514, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.4302, predictive_accuracy: 0.6559, prior_entropy: 0.9287, recall: 0.6559, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.4751, root_relative_squared_error: 1, scimark_benchmark: 932.3943, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9796, kappa: 0.955, kb_relative_information_score: 36748.9635, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9797, predictive_accuracy: 0.9796, prior_entropy: 0.9287, recall: 0.9796, relative_absolute_error: 0.0702, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1258, root_relative_squared_error: 0.2648, scimark_benchmark: 947.9494, usercpu_time_millis: 1940, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9763, kappa: 0.9476, kb_relative_information_score: 36677.6728, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9763, predictive_accuracy: 0.9764, prior_entropy: 0.9287, recall: 0.9764, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1325, root_relative_squared_error: 0.2789, scimark_benchmark: 947.9494, usercpu_time_millis: 1220, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9846, kappa: 0.9658, kb_relative_information_score: 37469.7953, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9846, predictive_accuracy: 0.9846, prior_entropy: 0.9287, recall: 0.9846, relative_absolute_error: 0.0499, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1096, root_relative_squared_error: 0.2306, scimark_benchmark: 931.2336, usercpu_time_millis: 4180, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 4040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9796, kappa: 0.9548, kb_relative_information_score: 37102.9353, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9796, predictive_accuracy: 0.9796, prior_entropy: 0.9287, recall: 0.9796, relative_absolute_error: 0.0587, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1253, root_relative_squared_error: 0.2638, scimark_benchmark: 923.3111, usercpu_time_millis: 840, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9789, kappa: 0.9532, kb_relative_information_score: 36524.5298, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9789, predictive_accuracy: 0.9789, prior_entropy: 0.9287, recall: 0.9789, relative_absolute_error: 0.0776, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.2655, scimark_benchmark: 941.7954, usercpu_time_millis: 1640, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5196, kb_relative_information_score: 8041.8554, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.4302, predictive_accuracy: 0.6559, prior_entropy: 0.9287, recall: 0.6559, relative_absolute_error: 0.7623, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.5866, root_relative_squared_error: 1.2348, scimark_benchmark: 929.0255, usercpu_time_millis: 140, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.982, kappa: 0.9602, kb_relative_information_score: 37350.6886, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.982, predictive_accuracy: 0.982, prior_entropy: 0.9287, recall: 0.982, relative_absolute_error: 0.0529, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.2683, scimark_benchmark: 941.7954, usercpu_time_millis: 2480, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 2050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9823, kappa: 0.9608, kb_relative_information_score: 36567.3475, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9823, predictive_accuracy: 0.9823, prior_entropy: 0.9287, recall: 0.9823, relative_absolute_error: 0.077, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1263, root_relative_squared_error: 0.2659, scimark_benchmark: 922.9039, usercpu_time_millis: 266720, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 266670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.9202, kappa: 0.8217, kb_relative_information_score: 27574.0594, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9209, predictive_accuracy: 0.921, prior_entropy: 0.9287, recall: 0.921, relative_absolute_error: 0.3336, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.5258, scimark_benchmark: 947.9494, usercpu_time_millis: 140, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9865, kappa: 0.9701, kb_relative_information_score: 38131.3552, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9865, predictive_accuracy: 0.9865, prior_entropy: 0.9287, recall: 0.9865, relative_absolute_error: 0.0301, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1156, root_relative_squared_error: 0.2433, scimark_benchmark: 947.0793, usercpu_time_millis: 128780, usercpu_time_millis_testing: 1310, usercpu_time_millis_training: 127470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9868, kappa: 0.9708, kb_relative_information_score: 38162.7362, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9868, predictive_accuracy: 0.9868, prior_entropy: 0.9287, recall: 0.9868, relative_absolute_error: 0.0293, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.2411, scimark_benchmark: 915.2795, usercpu_time_millis: 215780, usercpu_time_millis_testing: 2850, usercpu_time_millis_training: 212930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9869, kappa: 0.971, kb_relative_information_score: 38173.0029, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.987, predictive_accuracy: 0.9869, prior_entropy: 0.9287, recall: 0.9869, relative_absolute_error: 0.029, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.2404, scimark_benchmark: 947.0793, usercpu_time_millis: 543640, usercpu_time_millis_testing: 7980, usercpu_time_millis_training: 535660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9839, kappa: 0.9643, kb_relative_information_score: 37881.2176, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9839, predictive_accuracy: 0.9838, prior_entropy: 0.9287, recall: 0.9838, relative_absolute_error: 0.0362, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1232, root_relative_squared_error: 0.2593, scimark_benchmark: 917.4321, usercpu_time_millis: 151680, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 151530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1762, kb_relative_information_score: -20340.5983, mean_absolute_error: 0.6559, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.1184, predictive_accuracy: 0.3441, prior_entropy: 0.9287, recall: 0.3441, relative_absolute_error: 1.453, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.8099, root_relative_squared_error: 1.7047, scimark_benchmark: 917.1386, usercpu_time_millis: 890, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9827, kappa: 0.9616, kb_relative_information_score: 37562.7841, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9827, predictive_accuracy: 0.9827, prior_entropy: 0.9287, recall: 0.9827, relative_absolute_error: 0.0461, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1221, root_relative_squared_error: 0.2571, scimark_benchmark: 915.2795, usercpu_time_millis: 32580, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 32260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9874, kappa: 0.9722, kb_relative_information_score: 37851.0467, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9875, predictive_accuracy: 0.9874, prior_entropy: 0.9287, recall: 0.9874, relative_absolute_error: 0.0398, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.2071, scimark_benchmark: 915.2795, usercpu_time_millis: 650, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9787, kappa: 0.9529, kb_relative_information_score: 37425.5802, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9788, predictive_accuracy: 0.9787, prior_entropy: 0.9287, recall: 0.9787, relative_absolute_error: 0.0472, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.146, root_relative_squared_error: 0.3073, scimark_benchmark: 947.0793, usercpu_time_millis: 470850, usercpu_time_millis_testing: 28110, usercpu_time_millis_training: 442740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, build_cpu_time: 1611.0247, build_memory: 231590881.4608, f_measure: 0.9855, kappa: 0.968, kb_relative_information_score: 37530.9762, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9856, predictive_accuracy: 0.9855, prior_entropy: 0.9287, recall: 0.9855, relative_absolute_error: 0.0486, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.107, root_relative_squared_error: 0.2252, scimark_benchmark: 1212.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 1694.382, build_memory: 1637796253.5136, f_measure: 0.9855, kappa: 0.9679, kb_relative_information_score: 37528.5296, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9855, predictive_accuracy: 0.9855, prior_entropy: 0.9287, recall: 0.9855, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.106, root_relative_squared_error: 0.2232, scimark_benchmark: 943.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 3684.9787, build_memory: 522456791.9275, f_measure: 0.9857, kappa: 0.9683, kb_relative_information_score: 37521.9354, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9857, predictive_accuracy: 0.9857, prior_entropy: 0.9287, recall: 0.9857, relative_absolute_error: 0.0492, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1057, root_relative_squared_error: 0.2226, scimark_benchmark: 945.8425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 7191.3373, build_memory: 666578565.4797, f_measure: 0.9859, kappa: 0.9689, kb_relative_information_score: 37523.3983, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.986, predictive_accuracy: 0.9859, prior_entropy: 0.9287, recall: 0.9859, relative_absolute_error: 0.0492, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1056, root_relative_squared_error: 0.2223, scimark_benchmark: 944.2424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, build_cpu_time: 390.2095, build_memory: 415136974.7973, f_measure: 0.9851, kappa: 0.967, kb_relative_information_score: 38011.4645, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9851, predictive_accuracy: 0.9851, prior_entropy: 0.9287, recall: 0.9851, relative_absolute_error: 0.033, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1193, root_relative_squared_error: 0.251, scimark_benchmark: 945.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, build_cpu_time: 184.9276, build_memory: 691524031.5488, f_measure: 0.9848, kappa: 0.9664, kb_relative_information_score: 37992.8834, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9849, predictive_accuracy: 0.9848, prior_entropy: 0.9287, recall: 0.9848, relative_absolute_error: 0.0334, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.12, root_relative_squared_error: 0.2527, scimark_benchmark: 931.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, build_cpu_time: 95.8096, build_memory: 1156427530.6555, f_measure: 0.9839, kappa: 0.9644, kb_relative_information_score: 37906.1633, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9839, predictive_accuracy: 0.9839, prior_entropy: 0.9287, recall: 0.9839, relative_absolute_error: 0.0355, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.2613, scimark_benchmark: 941.9633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, build_cpu_time: 51.681, build_memory: 711741006.5338, f_measure: 0.9835, kappa: 0.9636, kb_relative_information_score: 37870.1286, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9836, predictive_accuracy: 0.9835, prior_entropy: 0.9287, recall: 0.9835, relative_absolute_error: 0.0364, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1258, root_relative_squared_error: 0.2647, scimark_benchmark: 944.0892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, build_cpu_time: 4001.268, build_memory: 276899131.117, f_measure: 0.9858, kappa: 0.9685, kb_relative_information_score: 37360.1499, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9858, predictive_accuracy: 0.9858, prior_entropy: 0.9287, recall: 0.9858, relative_absolute_error: 0.0558, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.2181, scimark_benchmark: 922.7106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 3843.7779, build_memory: 1644999575.2841, f_measure: 0.9859, kappa: 0.9687, kb_relative_information_score: 37363.3291, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9859, predictive_accuracy: 0.9859, prior_entropy: 0.9287, recall: 0.9859, relative_absolute_error: 0.0557, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1035, root_relative_squared_error: 0.2178, scimark_benchmark: 908.6448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 142.3816, build_memory: 987779294.8677, f_measure: 0.9852, kappa: 0.9672, kb_relative_information_score: 37440.9891, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9852, predictive_accuracy: 0.9852, prior_entropy: 0.9287, recall: 0.9852, relative_absolute_error: 0.0519, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1067, root_relative_squared_error: 0.2247, scimark_benchmark: 947.5893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_cpu_time: 68.5731, build_memory: 1738993004.3059, f_measure: 0.985, kappa: 0.9669, kb_relative_information_score: 37435.5311, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.985, predictive_accuracy: 0.985, prior_entropy: 0.9287, recall: 0.985, relative_absolute_error: 0.052, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.107, root_relative_squared_error: 0.2252, scimark_benchmark: 946.5484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, build_cpu_time: 39.4994, build_memory: 2084693532.203, f_measure: 0.9847, kappa: 0.9662, kb_relative_information_score: 37425.5858, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9287, recall: 0.9847, relative_absolute_error: 0.0522, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1077, root_relative_squared_error: 0.2268, scimark_benchmark: 942.8196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, build_cpu_time: 17.9709, build_memory: 956181261.5465, f_measure: 0.9848, kappa: 0.9664, kb_relative_information_score: 37428.82, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.4514, number_of_instances: 39366, precision: 0.9848, predictive_accuracy: 0.9848, prior_entropy: 0.9287, recall: 0.9848, relative_absolute_error: 0.0519, root_mean_prior_squared_error: 0.4751, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.2284, scimark_benchmark: 947.8367,

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