OpenML
Supervised Classification on gina_prior

Supervised Classification on gina_prior

Task 3895 Supervised Classification gina_prior 357 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_15 study_20 study_41 under100k
Issue #Downvotes for this reason By


Metric:

357 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7858, kappa: 0.5737, kb_relative_information_score: 1993.3313, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7948, predictive_accuracy: 0.7875, prior_entropy: 0.9998, recall: 0.7875, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.8449, kappa: 0.6898, kb_relative_information_score: 2385.4258, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8453, predictive_accuracy: 0.8449, prior_entropy: 0.9998, recall: 0.8449, relative_absolute_error: 0.3124, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.39, root_relative_squared_error: 0.7801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3427, kb_relative_information_score: 56.6243, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.2584, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8723, kappa: 0.7445, kb_relative_information_score: 2569.1161, mean_absolute_error: 0.1295, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8725, predictive_accuracy: 0.8723, prior_entropy: 0.9998, recall: 0.8723, relative_absolute_error: 0.2592, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.6968, scimark_benchmark: 1586.7278, usercpu_time_millis: 495281.25, usercpu_time_millis_testing: 3875, usercpu_time_millis_training: 491406.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.9585, kappa: 0.9169, kb_relative_information_score: 3179.8831, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9585, predictive_accuracy: 0.9585, prior_entropy: 0.9998, recall: 0.9585, relative_absolute_error: 0.0831, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.4076, scimark_benchmark: 1280.301, usercpu_time_millis: 21562.5, usercpu_time_millis_testing: 9656.25, usercpu_time_millis_training: 11906.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7041, f_measure: 0.7042, kappa: 0.4082, kb_relative_information_score: 1415.1719, mean_absolute_error: 0.2958, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7042, predictive_accuracy: 0.7042, prior_entropy: 0.9998, recall: 0.7042, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5439, root_relative_squared_error: 1.088, scimark_benchmark: 1280.301, usercpu_time_millis: 282484.375, usercpu_time_millis_testing: 11140.625, usercpu_time_millis_training: 271343.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3427, kb_relative_information_score: 56.6243, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.2584, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025, scimark_benchmark: 1461.2356, usercpu_time_millis: 61640.625, usercpu_time_millis_testing: 20203.125, usercpu_time_millis_training: 41437.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.8702, kappa: 0.7404, kb_relative_information_score: 2313.4095, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8702, predictive_accuracy: 0.8702, prior_entropy: 0.9998, recall: 0.8702, relative_absolute_error: 0.3578, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3413, root_relative_squared_error: 0.6828, scimark_benchmark: 1714.3823, usercpu_time_millis: 405280, usercpu_time_millis_testing: 2550, usercpu_time_millis_training: 402730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3427, kb_relative_information_score: 56.6243, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.2584, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025, scimark_benchmark: 1603.1117, usercpu_time_millis: 64870, usercpu_time_millis_testing: 21890, usercpu_time_millis_training: 42980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3427, kb_relative_information_score: 56.6243, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.2584, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025, scimark_benchmark: 1380.9919, usercpu_time_millis: 79960, usercpu_time_millis_testing: 33220, usercpu_time_millis_training: 46740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.9585, kappa: 0.9169, kb_relative_information_score: 3179.8831, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9585, predictive_accuracy: 0.9585, prior_entropy: 0.9998, recall: 0.9585, relative_absolute_error: 0.0831, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.4076, scimark_benchmark: 1647.6882, usercpu_time_millis: 21830, usercpu_time_millis_testing: 9740, usercpu_time_millis_training: 12090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7041, f_measure: 0.7042, kappa: 0.4082, kb_relative_information_score: 1415.1719, mean_absolute_error: 0.2958, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7042, predictive_accuracy: 0.7042, prior_entropy: 0.9998, recall: 0.7042, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5439, root_relative_squared_error: 1.088, scimark_benchmark: 1675.038, usercpu_time_millis: 334700, usercpu_time_millis_testing: 17160, usercpu_time_millis_training: 317540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.872, kappa: 0.744, kb_relative_information_score: 2564.9425, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8723, predictive_accuracy: 0.872, prior_entropy: 0.9998, recall: 0.872, relative_absolute_error: 0.2606, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.6966, scimark_benchmark: 1665.974, usercpu_time_millis: 62765.625, usercpu_time_millis_testing: 4718.75, usercpu_time_millis_training: 58046.875,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7858, kappa: 0.5737, kb_relative_information_score: 1993.3313, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7948, predictive_accuracy: 0.7875, prior_entropy: 0.9998, recall: 0.7875, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.919, scimark_benchmark: 1520.7202, usercpu_time_millis: 2590, usercpu_time_millis_testing: 1620, usercpu_time_millis_training: 970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.8624, kappa: 0.7247, kb_relative_information_score: 2513.6146, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8626, predictive_accuracy: 0.8625, prior_entropy: 0.9998, recall: 0.8625, relative_absolute_error: 0.2752, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.7418, scimark_benchmark: 1264.0607, usercpu_time_millis: 120860, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 120800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.8748, kappa: 0.7496, kb_relative_information_score: 2255.3108, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8749, predictive_accuracy: 0.8749, prior_entropy: 0.9998, recall: 0.8749, relative_absolute_error: 0.3815, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.6659, scimark_benchmark: 1331.1694, usercpu_time_millis: 69250, usercpu_time_millis_testing: 5060, usercpu_time_millis_training: 64190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.8278, kappa: 0.6555, kb_relative_information_score: 2202.712, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.828, predictive_accuracy: 0.8279, prior_entropy: 0.9998, recall: 0.8279, relative_absolute_error: 0.3698, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.7656, scimark_benchmark: 1328.0582, usercpu_time_millis: 269600, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 269540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.9608, kappa: 0.9215, kb_relative_information_score: 3194.4135, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9611, predictive_accuracy: 0.9608, prior_entropy: 0.9998, recall: 0.9608, relative_absolute_error: 0.079, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.198, root_relative_squared_error: 0.396, scimark_benchmark: 1337.44, usercpu_time_millis: 29810, usercpu_time_millis_testing: 29360, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.8524, kappa: 0.7046, kb_relative_information_score: 2107.5155, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8524, predictive_accuracy: 0.8524, prior_entropy: 0.9998, recall: 0.8524, relative_absolute_error: 0.4144, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6591, scimark_benchmark: 1199.7944, usercpu_time_millis: 32470, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 32440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.8976, kappa: 0.7954, kb_relative_information_score: 2590.5355, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8984, predictive_accuracy: 0.8976, prior_entropy: 0.9998, recall: 0.8976, relative_absolute_error: 0.2696, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3047, root_relative_squared_error: 0.6095, scimark_benchmark: 755.7966, usercpu_time_millis: 27640, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 27610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.8397, kappa: 0.6795, kb_relative_information_score: 2355.5509, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8402, predictive_accuracy: 0.8397, prior_entropy: 0.9998, recall: 0.8397, relative_absolute_error: 0.3207, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.8009, scimark_benchmark: 1618.1738, usercpu_time_millis: 4250, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 4218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.8757, kappa: 0.7514, kb_relative_information_score: 2361.5223, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8758, predictive_accuracy: 0.8757, prior_entropy: 0.9998, recall: 0.8757, relative_absolute_error: 0.3403, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.6515, scimark_benchmark: 1925.3565, usercpu_time_millis: 2359.375, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 2328.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9461, kappa: 0.8921, kb_relative_information_score: 2264.7341, mean_absolute_error: 0.1972, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9461, predictive_accuracy: 0.9461, prior_entropy: 0.9998, recall: 0.9461, relative_absolute_error: 0.3945, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2539, root_relative_squared_error: 0.5079, scimark_benchmark: 1925.3565, usercpu_time_millis: 4609.375, usercpu_time_millis_testing: 203.125, usercpu_time_millis_training: 4406.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.8524, kappa: 0.7046, kb_relative_information_score: 2107.5155, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8524, predictive_accuracy: 0.8524, prior_entropy: 0.9998, recall: 0.8524, relative_absolute_error: 0.4144, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6591, scimark_benchmark: 1097.8451, usercpu_time_millis: 37660, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 37640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7064, f_measure: 0.6885, kappa: 0.401, kb_relative_information_score: 1377.3785, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7337, predictive_accuracy: 0.6987, prior_entropy: 0.9998, recall: 0.6987, relative_absolute_error: 0.6027, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.548, root_relative_squared_error: 1.0961, scimark_benchmark: 1925.3565, usercpu_time_millis: 3937.5, usercpu_time_millis_testing: 1296.875, usercpu_time_millis_training: 2640.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8684, f_measure: 0.872, kappa: 0.7439, kb_relative_information_score: 2546.6163, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.872, predictive_accuracy: 0.872, prior_entropy: 0.9998, recall: 0.872, relative_absolute_error: 0.2694, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.6974, scimark_benchmark: 1925.3565, usercpu_time_millis: 5281.25, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 5250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.7855, kappa: 0.5731, kb_relative_information_score: 1991.3305, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7944, predictive_accuracy: 0.7872, prior_entropy: 0.9998, recall: 0.7872, relative_absolute_error: 0.4259, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9197, scimark_benchmark: 1925.3565, usercpu_time_millis: 1765.625, usercpu_time_millis_testing: 984.375, usercpu_time_millis_training: 781.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.8624, kappa: 0.7247, kb_relative_information_score: 2513.6146, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8626, predictive_accuracy: 0.8625, prior_entropy: 0.9998, recall: 0.8625, relative_absolute_error: 0.2752, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.7418, scimark_benchmark: 1925.3565, usercpu_time_millis: 67203.125, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 67156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.8397, kappa: 0.6795, kb_relative_information_score: 2355.5509, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8402, predictive_accuracy: 0.8397, prior_entropy: 0.9998, recall: 0.8397, relative_absolute_error: 0.3207, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.8009, scimark_benchmark: 1925.3565, usercpu_time_millis: 2796.875, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 2750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8662, kappa: 0.7323, kb_relative_information_score: 2217.2633, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8662, predictive_accuracy: 0.8662, prior_entropy: 0.9998, recall: 0.8662, relative_absolute_error: 0.391, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3425, root_relative_squared_error: 0.685, scimark_benchmark: 1925.3565, usercpu_time_millis: 42296.875, usercpu_time_millis_testing: 3828.125, usercpu_time_millis_training: 38468.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.8278, kappa: 0.6555, kb_relative_information_score: 2200.7262, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.828, predictive_accuracy: 0.8279, prior_entropy: 0.9998, recall: 0.8279, relative_absolute_error: 0.3704, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.7663, scimark_benchmark: 1925.3565, usercpu_time_millis: 228062.5, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 228031.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.9608, kappa: 0.9215, kb_relative_information_score: 3194.4135, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9611, predictive_accuracy: 0.9608, prior_entropy: 0.9998, recall: 0.9608, relative_absolute_error: 0.079, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.198, root_relative_squared_error: 0.396, scimark_benchmark: 1925.3565, usercpu_time_millis: 15234.375, usercpu_time_millis_testing: 14593.75, usercpu_time_millis_training: 640.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, f_measure: 0.8942, kappa: 0.7884, kb_relative_information_score: 2592.8122, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8945, predictive_accuracy: 0.8942, prior_entropy: 0.9998, recall: 0.8942, relative_absolute_error: 0.2666, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3074, root_relative_squared_error: 0.6148, scimark_benchmark: 1892.0925, usercpu_time_millis: 16015.625, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 15984.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.876, kappa: 0.752, kb_relative_information_score: 2360.0657, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8761, predictive_accuracy: 0.876, prior_entropy: 0.9998, recall: 0.876, relative_absolute_error: 0.341, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.6504, scimark_benchmark: 1892.0925, usercpu_time_millis: 3703.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 3687.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9438, kappa: 0.8875, kb_relative_information_score: 2270.2274, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9439, predictive_accuracy: 0.9438, prior_entropy: 0.9998, recall: 0.9438, relative_absolute_error: 0.3931, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.253, root_relative_squared_error: 0.5062, scimark_benchmark: 1892.0925, usercpu_time_millis: 4953.125, usercpu_time_millis_testing: 359.375, usercpu_time_millis_training: 4593.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7058, f_measure: 0.6879, kappa: 0.3998, kb_relative_information_score: 1373.3769, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.733, predictive_accuracy: 0.6981, prior_entropy: 0.9998, recall: 0.6981, relative_absolute_error: 0.6039, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5485, root_relative_squared_error: 1.0971, scimark_benchmark: 1892.0925, usercpu_time_millis: 3421.875, usercpu_time_millis_testing: 1343.75, usercpu_time_millis_training: 2078.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.8723, kappa: 0.7444, kb_relative_information_score: 2548.5916, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8723, predictive_accuracy: 0.8723, prior_entropy: 0.9998, recall: 0.8723, relative_absolute_error: 0.2688, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.6967, scimark_benchmark: 1892.0925, usercpu_time_millis: 4312.5, usercpu_time_millis_training: 4312.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.9034, kappa: 0.8069, kb_relative_information_score: 2630.8739, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.904, predictive_accuracy: 0.9034, prior_entropy: 0.9998, recall: 0.9034, relative_absolute_error: 0.2572, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.5894, scimark_benchmark: 1834.908, usercpu_time_millis: 12281.25, usercpu_time_millis_training: 12281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.8723, kappa: 0.7445, kb_relative_information_score: 2248.0057, mean_absolute_error: 0.1915, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8723, predictive_accuracy: 0.8723, prior_entropy: 0.9998, recall: 0.8723, relative_absolute_error: 0.383, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.6712, scimark_benchmark: 1834.908, usercpu_time_millis: 44484.375, usercpu_time_millis_testing: 4843.75, usercpu_time_millis_training: 39640.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.8524, kappa: 0.7046, kb_relative_information_score: 2107.5155, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8524, predictive_accuracy: 0.8524, prior_entropy: 0.9998, recall: 0.8524, relative_absolute_error: 0.4144, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6591, scimark_benchmark: 1834.908, usercpu_time_millis: 40187.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 40171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.8524, kappa: 0.7046, kb_relative_information_score: 2107.5155, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8524, predictive_accuracy: 0.8524, prior_entropy: 0.9998, recall: 0.8524, relative_absolute_error: 0.4144, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6591, scimark_benchmark: 1788.6668, usercpu_time_millis: 38531.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 38515.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.8405, kappa: 0.681, kb_relative_information_score: 1946.0543, mean_absolute_error: 0.2322, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8405, predictive_accuracy: 0.8405, prior_entropy: 0.9998, recall: 0.8405, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.6904, scimark_benchmark: 1788.6668, usercpu_time_millis: 15750, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15734.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.882, kappa: 0.764, kb_relative_information_score: 2348.6038, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8822, predictive_accuracy: 0.8821, prior_entropy: 0.9998, recall: 0.8821, relative_absolute_error: 0.3498, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.6434, scimark_benchmark: 1788.6668, usercpu_time_millis: 27421.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 27406.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, f_measure: 0.8547, kappa: 0.7093, kb_relative_information_score: 2030.6078, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8548, predictive_accuracy: 0.8547, prior_entropy: 0.9998, recall: 0.8547, relative_absolute_error: 0.4522, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.7023, scimark_benchmark: 1788.6668, usercpu_time_millis: 18234.375, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 18203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.857, kappa: 0.7138, kb_relative_information_score: 2097.1114, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.857, predictive_accuracy: 0.857, prior_entropy: 0.9998, recall: 0.857, relative_absolute_error: 0.4195, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.654, scimark_benchmark: 1788.6668, usercpu_time_millis: 14609.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 14593.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.8578, kappa: 0.7155, kb_relative_information_score: 2481.6017, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8579, predictive_accuracy: 0.8578, prior_entropy: 0.9998, recall: 0.8578, relative_absolute_error: 0.2844, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.377, root_relative_squared_error: 0.7542, scimark_benchmark: 1788.6668, usercpu_time_millis: 19109.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 19093.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.8624, kappa: 0.7247, kb_relative_information_score: 2513.6146, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8626, predictive_accuracy: 0.8625, prior_entropy: 0.9998, recall: 0.8625, relative_absolute_error: 0.2752, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.7418, scimark_benchmark: 1387.0125, usercpu_time_millis: 78560, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 78520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8281, kappa: 0.656, kb_relative_information_score: 2201.2803, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8283, predictive_accuracy: 0.8281, prior_entropy: 0.9998, recall: 0.8281, relative_absolute_error: 0.3703, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.383, root_relative_squared_error: 0.7662, scimark_benchmark: 1373.168, usercpu_time_millis: 259110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 259070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.9034, kappa: 0.8069, kb_relative_information_score: 2630.8739, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.904, predictive_accuracy: 0.9034, prior_entropy: 0.9998, recall: 0.9034, relative_absolute_error: 0.2572, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.5894, scimark_benchmark: 898.32, usercpu_time_millis: 24130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 24110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.8874, kappa: 0.7748, kb_relative_information_score: 2475.876, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8884, predictive_accuracy: 0.8875, prior_entropy: 0.9998, recall: 0.8875, relative_absolute_error: 0.3012, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2808, root_relative_squared_error: 0.5618, scimark_benchmark: 1447.2612, usercpu_time_millis: 21718.75, usercpu_time_millis_testing: 3296.875, usercpu_time_millis_training: 18421.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8849, kappa: 0.7705, kb_relative_information_score: 2644.8812, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8918, predictive_accuracy: 0.8855, prior_entropy: 0.9998, recall: 0.8855, relative_absolute_error: 0.2374, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.5889, scimark_benchmark: 1840.6094, usercpu_time_millis: 25468.75, usercpu_time_millis_testing: 2656.25, usercpu_time_millis_training: 22812.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.943, kappa: 0.8862, kb_relative_information_score: 3139.1552, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9467, predictive_accuracy: 0.9432, prior_entropy: 0.9998, recall: 0.9432, relative_absolute_error: 0.0949, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.3658, scimark_benchmark: 1840.6094, usercpu_time_millis: 54890.625, usercpu_time_millis_testing: 54890.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9434, kappa: 0.8868, kb_relative_information_score: 2896.4251, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9463, predictive_accuracy: 0.9435, prior_entropy: 0.9998, recall: 0.9435, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4, scimark_benchmark: 1873.1108, usercpu_time_millis: 77937.5, usercpu_time_millis_testing: 77937.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.8959, kappa: 0.7917, kb_relative_information_score: 2559.4028, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.896, predictive_accuracy: 0.8959, prior_entropy: 0.9998, recall: 0.8959, relative_absolute_error: 0.2718, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2789, root_relative_squared_error: 0.5578, scimark_benchmark: 1873.1108, usercpu_time_millis: 18312.5, usercpu_time_millis_testing: 2875, usercpu_time_millis_training: 15437.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9602, kappa: 0.9203, kb_relative_information_score: 3033.625, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.961, predictive_accuracy: 0.9602, prior_entropy: 0.9998, recall: 0.9602, relative_absolute_error: 0.133, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.3707, scimark_benchmark: 1873.1108, usercpu_time_millis: 71281.25, usercpu_time_millis_testing: 71281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.8584, kappa: 0.7168, kb_relative_information_score: 2485.6033, mean_absolute_error: 0.1416, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8586, predictive_accuracy: 0.8584, prior_entropy: 0.9998, recall: 0.8584, relative_absolute_error: 0.2832, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7526, scimark_benchmark: 1870.7932, usercpu_time_millis: 11497.2737, usercpu_time_millis_training: 11497.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.8397, kappa: 0.6795, kb_relative_information_score: 2355.5509, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8402, predictive_accuracy: 0.8397, prior_entropy: 0.9998, recall: 0.8397, relative_absolute_error: 0.3207, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.8009, scimark_benchmark: 1870.7932, usercpu_time_millis: 2215.2142, usercpu_time_millis_testing: 31.2002, usercpu_time_millis_training: 2184.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.8685, kappa: 0.737, kb_relative_information_score: 2268.7589, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8687, predictive_accuracy: 0.8685, prior_entropy: 0.9998, recall: 0.8685, relative_absolute_error: 0.3691, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3281, root_relative_squared_error: 0.6563, scimark_benchmark: 1870.7932, usercpu_time_millis: 11138.4714, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 11122.8713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.8798, kappa: 0.7595, kb_relative_information_score: 2375.3384, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8799, predictive_accuracy: 0.8798, prior_entropy: 0.9998, recall: 0.8798, relative_absolute_error: 0.3366, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3223, root_relative_squared_error: 0.6447, scimark_benchmark: 1870.7932, usercpu_time_millis: 1357.2087, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 1341.6086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.7367, kappa: 0.4926, kb_relative_information_score: 1702.9293, mean_absolute_error: 0.2543, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7848, predictive_accuracy: 0.7448, prior_entropy: 0.9998, recall: 0.7448, relative_absolute_error: 0.5087, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4919, root_relative_squared_error: 0.9839, scimark_benchmark: 1870.7932, usercpu_time_millis: 14149.2907, usercpu_time_millis_testing: 78.0005, usercpu_time_millis_training: 14071.2902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, f_measure: 0.6871, kappa: 0.3975, kb_relative_information_score: 1365.3737, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7303, predictive_accuracy: 0.6969, prior_entropy: 0.9998, recall: 0.6969, relative_absolute_error: 0.6062, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5495, root_relative_squared_error: 1.0992, scimark_benchmark: 1870.7932, usercpu_time_millis: 2308.8148, usercpu_time_millis_testing: 1107.6071, usercpu_time_millis_training: 1201.2077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8269, kappa: 0.6538, kb_relative_information_score: 2269.281, mean_absolute_error: 0.1728, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8271, predictive_accuracy: 0.827, prior_entropy: 0.9998, recall: 0.827, relative_absolute_error: 0.3456, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8159, scimark_benchmark: 1732.2066, usercpu_time_millis: 26286.1685, usercpu_time_millis_testing: 109.2007, usercpu_time_millis_training: 26176.9678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.7852, kappa: 0.5725, kb_relative_information_score: 1989.3246, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7942, predictive_accuracy: 0.7869, prior_entropy: 0.9998, recall: 0.7869, relative_absolute_error: 0.4265, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4601, root_relative_squared_error: 0.9203, scimark_benchmark: 1732.2066, usercpu_time_millis: 1528.8098, usercpu_time_millis_testing: 1232.4079, usercpu_time_millis_training: 296.4019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.9438, kappa: 0.8875, kb_relative_information_score: 3077.842, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9439, predictive_accuracy: 0.9438, prior_entropy: 0.9998, recall: 0.9438, relative_absolute_error: 0.1125, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2371, root_relative_squared_error: 0.4743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8269, kappa: 0.6538, kb_relative_information_score: 2269.281, mean_absolute_error: 0.1728, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8271, predictive_accuracy: 0.827, prior_entropy: 0.9998, recall: 0.827, relative_absolute_error: 0.3456, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8159, scimark_benchmark: 1887.4343, usercpu_time_millis: 16489.3057, usercpu_time_millis_testing: 78.0005, usercpu_time_millis_training: 16411.3052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.8789, kappa: 0.7577, kb_relative_information_score: 2501.3023, mean_absolute_error: 0.1454, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8789, predictive_accuracy: 0.8789, prior_entropy: 0.9998, recall: 0.8789, relative_absolute_error: 0.2909, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.669, scimark_benchmark: 1806.5905, usercpu_time_millis: 14227.2912, usercpu_time_millis_training: 14227.2912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.8731, kappa: 0.7462, kb_relative_information_score: 2555.4494, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8731, predictive_accuracy: 0.8731, prior_entropy: 0.9998, recall: 0.8731, relative_absolute_error: 0.2668, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3471, root_relative_squared_error: 0.6943, scimark_benchmark: 1806.5905, usercpu_time_millis: 4243.2272, usercpu_time_millis_training: 4243.2272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.8997, kappa: 0.7993, kb_relative_information_score: 2353.8818, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8997, predictive_accuracy: 0.8997, prior_entropy: 0.9998, recall: 0.8997, relative_absolute_error: 0.3507, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.5454, scimark_benchmark: 1806.5905, usercpu_time_millis: 15756.101, usercpu_time_millis_testing: 140.4009, usercpu_time_millis_training: 15615.7001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9461, kappa: 0.8921, kb_relative_information_score: 2269.6749, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9461, predictive_accuracy: 0.9461, prior_entropy: 0.9998, recall: 0.9461, relative_absolute_error: 0.3934, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.5058, scimark_benchmark: 1806.5905, usercpu_time_millis: 3650.4234, usercpu_time_millis_testing: 171.6011, usercpu_time_millis_training: 3478.8223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.8835, kappa: 0.7669, kb_relative_information_score: 2658.2771, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8835, predictive_accuracy: 0.8835, prior_entropy: 0.9998, recall: 0.8835, relative_absolute_error: 0.2336, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.6822, scimark_benchmark: 1806.5905, usercpu_time_millis: 27924.179, usercpu_time_millis_testing: 1544.4099, usercpu_time_millis_training: 26379.7691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.9608, kappa: 0.9215, kb_relative_information_score: 3194.4135, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9611, predictive_accuracy: 0.9608, prior_entropy: 0.9998, recall: 0.9608, relative_absolute_error: 0.079, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.198, root_relative_squared_error: 0.396, scimark_benchmark: 1806.5905, usercpu_time_millis: 30778.9973, usercpu_time_millis_testing: 30778.9973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8269, kappa: 0.6538, kb_relative_information_score: 2269.281, mean_absolute_error: 0.1728, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8271, predictive_accuracy: 0.827, prior_entropy: 0.9998, recall: 0.827, relative_absolute_error: 0.3456, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8159, scimark_benchmark: 1877.5305, usercpu_time_millis: 24585.7576, usercpu_time_millis_testing: 62.4004, usercpu_time_millis_training: 24523.3572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.7852, kappa: 0.5725, kb_relative_information_score: 1989.3246, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7942, predictive_accuracy: 0.7869, prior_entropy: 0.9998, recall: 0.7869, relative_absolute_error: 0.4265, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4601, root_relative_squared_error: 0.9203, scimark_benchmark: 1850.8887, usercpu_time_millis: 1435.2092, usercpu_time_millis_testing: 1154.4074, usercpu_time_millis_training: 280.8018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.3427, kb_relative_information_score: -0.004, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.2584, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, scimark_benchmark: 1850.8887, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.8858, kappa: 0.7715, kb_relative_information_score: 2555.3555, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8858, predictive_accuracy: 0.8858, prior_entropy: 0.9998, recall: 0.8858, relative_absolute_error: 0.2752, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.6517, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8397, kappa: 0.6795, kb_relative_information_score: 1480.3765, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8403, predictive_accuracy: 0.8397, prior_entropy: 0.9998, recall: 0.8397, relative_absolute_error: 0.6188, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.7203, scimark_benchmark: 972.587, usercpu_time_millis: 19840, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 19830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.8377, kappa: 0.6754, kb_relative_information_score: 1927.4797, mean_absolute_error: 0.2369, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8382, predictive_accuracy: 0.8377, prior_entropy: 0.9998, recall: 0.8377, relative_absolute_error: 0.4739, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.6872, scimark_benchmark: 851.2074, usercpu_time_millis: 56760, usercpu_time_millis_training: 56760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.8858, kappa: 0.7715, kb_relative_information_score: 2555.3555, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8858, predictive_accuracy: 0.8858, prior_entropy: 0.9998, recall: 0.8858, relative_absolute_error: 0.2752, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.6517, scimark_benchmark: 942.2392, usercpu_time_millis: 3690, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 3620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8397, kappa: 0.6795, kb_relative_information_score: 1480.3765, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8403, predictive_accuracy: 0.8397, prior_entropy: 0.9998, recall: 0.8397, relative_absolute_error: 0.6188, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.7203, scimark_benchmark: 935.2002, usercpu_time_millis: 24100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 24090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.953, kappa: 0.906, kb_relative_information_score: 2658.0465, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9532, predictive_accuracy: 0.953, prior_entropy: 0.9998, recall: 0.953, relative_absolute_error: 0.2668, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.4185, scimark_benchmark: 851.2074, usercpu_time_millis: 2884480, usercpu_time_millis_testing: 974910, usercpu_time_millis_training: 1909570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9498, kappa: 0.8997, kb_relative_information_score: 2652.0784, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.95, predictive_accuracy: 0.9498, prior_entropy: 0.9998, recall: 0.9498, relative_absolute_error: 0.2677, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.4234, scimark_benchmark: 905.2959, usercpu_time_millis: 1177360, usercpu_time_millis_testing: 398890, usercpu_time_millis_training: 778470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9524, kappa: 0.9048, kb_relative_information_score: 2650.4644, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9526, predictive_accuracy: 0.9524, prior_entropy: 0.9998, recall: 0.9524, relative_absolute_error: 0.2677, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.4265, scimark_benchmark: 910.2405, usercpu_time_millis: 550250, usercpu_time_millis_testing: 150120, usercpu_time_millis_training: 400130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9452, kappa: 0.8904, kb_relative_information_score: 2632.5828, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9455, predictive_accuracy: 0.9452, prior_entropy: 0.9998, recall: 0.9452, relative_absolute_error: 0.2707, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.4444, scimark_benchmark: 931.6751, usercpu_time_millis: 270410, usercpu_time_millis_testing: 71820, usercpu_time_millis_training: 198590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.938, kappa: 0.876, kb_relative_information_score: 2639.4945, mean_absolute_error: 0.1323, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9381, predictive_accuracy: 0.938, prior_entropy: 0.9998, recall: 0.938, relative_absolute_error: 0.2646, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.4547, scimark_benchmark: 899.1108, usercpu_time_millis: 147490, usercpu_time_millis_testing: 47200, usercpu_time_millis_training: 100290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8402, kappa: 0.6802, kb_relative_information_score: 2020.1441, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8406, predictive_accuracy: 0.8403, prior_entropy: 0.9998, recall: 0.8403, relative_absolute_error: 0.4395, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6895, scimark_benchmark: 926.5859, usercpu_time_millis: 8300, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 8280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8402, kappa: 0.6802, kb_relative_information_score: 2020.1441, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8406, predictive_accuracy: 0.8403, prior_entropy: 0.9998, recall: 0.8403, relative_absolute_error: 0.4395, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6895, scimark_benchmark: 929.0296, usercpu_time_millis: 8730, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 8710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8402, kappa: 0.6802, kb_relative_information_score: 2020.1441, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8406, predictive_accuracy: 0.8403, prior_entropy: 0.9998, recall: 0.8403, relative_absolute_error: 0.4395, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6895, scimark_benchmark: 894.7131, usercpu_time_millis: 8840, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 8820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8402, kappa: 0.6802, kb_relative_information_score: 2020.1441, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8406, predictive_accuracy: 0.8403, prior_entropy: 0.9998, recall: 0.8403, relative_absolute_error: 0.4395, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6895, scimark_benchmark: 941.9549, usercpu_time_millis: 8450, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 8440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.8278, kappa: 0.6556, kb_relative_information_score: 1872.0655, mean_absolute_error: 0.2428, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8279, predictive_accuracy: 0.8279, prior_entropy: 0.9998, recall: 0.8279, relative_absolute_error: 0.4857, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.7134, scimark_benchmark: 929.0296, usercpu_time_millis: 5730, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 5710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.7731, kappa: 0.546, kb_relative_information_score: 1344.6574, mean_absolute_error: 0.3224, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7731, predictive_accuracy: 0.7731, prior_entropy: 0.9998, recall: 0.7731, relative_absolute_error: 0.645, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4077, root_relative_squared_error: 0.8155, scimark_benchmark: 936.1714, usercpu_time_millis: 1680, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, f_measure: 0.8757, kappa: 0.7513, kb_relative_information_score: 2605.6517, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8758, predictive_accuracy: 0.8757, prior_entropy: 0.9998, recall: 0.8757, relative_absolute_error: 0.2486, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3525, root_relative_squared_error: 0.7052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.8508, kappa: 0.7016, kb_relative_information_score: 2393.0777, mean_absolute_error: 0.1565, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8514, predictive_accuracy: 0.8509, prior_entropy: 0.9998, recall: 0.8509, relative_absolute_error: 0.313, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3543, root_relative_squared_error: 0.7087, scimark_benchmark: 926.5859, usercpu_time_millis: 84240, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 84210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.8404, kappa: 0.6807, kb_relative_information_score: 2308.0865, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8414, predictive_accuracy: 0.8405, prior_entropy: 0.9998, recall: 0.8405, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.7351, scimark_benchmark: 936.1714, usercpu_time_millis: 41990, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 41980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8161, kappa: 0.6326, kb_relative_information_score: 2152.4552, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8187, predictive_accuracy: 0.8166, prior_entropy: 0.9998, recall: 0.8166, relative_absolute_error: 0.383, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.779, scimark_benchmark: 940.0055, usercpu_time_millis: 21950, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 21940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, f_measure: 0.7825, kappa: 0.5673, kb_relative_information_score: 1937.2304, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7917, predictive_accuracy: 0.7843, prior_entropy: 0.9998, recall: 0.7843, relative_absolute_error: 0.4454, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4193, root_relative_squared_error: 0.8386, scimark_benchmark: 926.5859, usercpu_time_millis: 12730, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 12720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.7377, kappa: 0.4842, kb_relative_information_score: 1680.1043, mean_absolute_error: 0.2585, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7627, predictive_accuracy: 0.7434, prior_entropy: 0.9998, recall: 0.7434, relative_absolute_error: 0.5171, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4646, root_relative_squared_error: 0.9294, scimark_benchmark: 941.9549, usercpu_time_millis: 5460, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3427, kb_relative_information_score: 56.6243, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.2584, predictive_accuracy: 0.5084, prior_entropy: 0.9998, recall: 0.5084, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025, scimark_benchmark: 941.9549, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.8731, kappa: 0.7462, kb_relative_information_score: 2555.4494, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.8731, predictive_accuracy: 0.8731, prior_entropy: 0.9998, recall: 0.8731, relative_absolute_error: 0.2668, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3471, root_relative_squared_error: 0.6943, scimark_benchmark: 942.6192, usercpu_time_millis: 6840, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 6800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9276, kappa: 0.8552, kb_relative_information_score: 2531.0194, mean_absolute_error: 0.1488, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.9277, predictive_accuracy: 0.9276, prior_entropy: 0.9998, recall: 0.9276, relative_absolute_error: 0.2976, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.4916, scimark_benchmark: 936.7286, usercpu_time_millis: 1033140, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 1033070,

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