Task
Supervised Classification on fri_c0_250_50

Supervised Classification on fri_c0_250_50

Task 4303 Supervised Classification fri_c0_250_50 205 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

205 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 815.9018, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7072, predictive_accuracy: 0.7076, prior_entropy: 0.9971, recall: 0.7076, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8355, scimark_benchmark: 1336.4564, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 815.9018, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7072, predictive_accuracy: 0.7076, prior_entropy: 0.9971, recall: 0.7076, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8355, scimark_benchmark: 1299.6719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 815.9018, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7072, predictive_accuracy: 0.7076, prior_entropy: 0.9971, recall: 0.7076, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8355, scimark_benchmark: 1349.9109, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.768, kappa: 0.5339, kb_relative_information_score: 929.5196, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7679, predictive_accuracy: 0.768, prior_entropy: 0.9971, recall: 0.768, relative_absolute_error: 0.6618, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.7846, scimark_benchmark: 1317.2327, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 815.9018, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7072, predictive_accuracy: 0.7076, prior_entropy: 0.9971, recall: 0.7076, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8355, scimark_benchmark: 1337.4384, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 815.9018, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7072, predictive_accuracy: 0.7076, prior_entropy: 0.9971, recall: 0.7076, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8355, scimark_benchmark: 1363.7016, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7819, f_measure: 0.7372, kappa: 0.4723, kb_relative_information_score: 998.9467, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7372, predictive_accuracy: 0.7372, prior_entropy: 0.9971, recall: 0.7372, relative_absolute_error: 0.6171, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.455, root_relative_squared_error: 0.9119, scimark_benchmark: 1337.1928, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, f_measure: 0.7479, kappa: 0.4932, kb_relative_information_score: 1234.5356, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7482, predictive_accuracy: 0.7484, prior_entropy: 0.9971, recall: 0.7484, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0053, scimark_benchmark: 1375.9885, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8059, f_measure: 0.7082, kappa: 0.4135, kb_relative_information_score: 812.859, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7084, predictive_accuracy: 0.7088, prior_entropy: 0.9971, recall: 0.7088, relative_absolute_error: 0.6974, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.417, root_relative_squared_error: 0.8358, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.7665, kappa: 0.5311, kb_relative_information_score: 567.1085, mean_absolute_error: 0.4047, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7709, predictive_accuracy: 0.7684, prior_entropy: 0.9971, recall: 0.7684, relative_absolute_error: 0.8127, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8452, scimark_benchmark: 1260.1387, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 815.9018, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7072, predictive_accuracy: 0.7076, prior_entropy: 0.9971, recall: 0.7076, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8355, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7819, f_measure: 0.7372, kappa: 0.4723, kb_relative_information_score: 998.9467, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7372, predictive_accuracy: 0.7372, prior_entropy: 0.9971, recall: 0.7372, relative_absolute_error: 0.6171, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.455, root_relative_squared_error: 0.9119, scimark_benchmark: 1344.4042, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.7665, kappa: 0.5311, kb_relative_information_score: 567.1085, mean_absolute_error: 0.4047, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7709, predictive_accuracy: 0.7684, prior_entropy: 0.9971, recall: 0.7684, relative_absolute_error: 0.8127, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8452, scimark_benchmark: 942.9708, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.7973, kappa: 0.5934, kb_relative_information_score: 1455.3998, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7978, predictive_accuracy: 0.7972, prior_entropy: 0.9971, recall: 0.7972, relative_absolute_error: 0.4202, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8138, scimark_benchmark: 1326.8946, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.7647, kappa: 0.5272, kb_relative_information_score: 1084.4216, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7646, predictive_accuracy: 0.7648, prior_entropy: 0.9971, recall: 0.7648, relative_absolute_error: 0.5882, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.7868, scimark_benchmark: 1059.8591, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 815.9018, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7072, predictive_accuracy: 0.7076, prior_entropy: 0.9971, recall: 0.7076, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8355, scimark_benchmark: 1341.5795, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 815.9018, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7072, predictive_accuracy: 0.7076, prior_entropy: 0.9971, recall: 0.7076, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8355, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 815.9018, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7072, predictive_accuracy: 0.7076, prior_entropy: 0.9971, recall: 0.7076, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8355, scimark_benchmark: 938.0414, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7819, f_measure: 0.7372, kappa: 0.4723, kb_relative_information_score: 998.9467, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7372, predictive_accuracy: 0.7372, prior_entropy: 0.9971, recall: 0.7372, relative_absolute_error: 0.6171, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.455, root_relative_squared_error: 0.9119, scimark_benchmark: 1288.1375, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.7754, kappa: 0.549, kb_relative_information_score: 550.6511, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7798, predictive_accuracy: 0.7772, prior_entropy: 0.9971, recall: 0.7772, relative_absolute_error: 0.8206, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.8469, scimark_benchmark: 1345.7204, usercpu_time_millis: 500, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.651, f_measure: 0.6206, kappa: 0.2387, kb_relative_information_score: 585.3833, mean_absolute_error: 0.381, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.6209, predictive_accuracy: 0.6204, prior_entropy: 0.9971, recall: 0.6204, relative_absolute_error: 0.7652, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5975, root_relative_squared_error: 1.1975, scimark_benchmark: 1295.0797, usercpu_time_millis: 7580, usercpu_time_millis_testing: 7580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.7674, kappa: 0.5336, kb_relative_information_score: 987.3472, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7682, predictive_accuracy: 0.7672, prior_entropy: 0.9971, recall: 0.7672, relative_absolute_error: 0.6317, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.799, scimark_benchmark: 1278.6629, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8059, f_measure: 0.7082, kappa: 0.4135, kb_relative_information_score: 812.859, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7084, predictive_accuracy: 0.7088, prior_entropy: 0.9971, recall: 0.7088, relative_absolute_error: 0.6974, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.417, root_relative_squared_error: 0.8358, scimark_benchmark: 1315.933, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.7072, kappa: 0.4115, kb_relative_information_score: 815.9018, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7072, predictive_accuracy: 0.7076, prior_entropy: 0.9971, recall: 0.7076, relative_absolute_error: 0.6959, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8355, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8059, f_measure: 0.7082, kappa: 0.4135, kb_relative_information_score: 812.859, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7084, predictive_accuracy: 0.7088, prior_entropy: 0.9971, recall: 0.7088, relative_absolute_error: 0.6974, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.417, root_relative_squared_error: 0.8358, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.7665, kappa: 0.5311, kb_relative_information_score: 567.1085, mean_absolute_error: 0.4047, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7709, predictive_accuracy: 0.7684, prior_entropy: 0.9971, recall: 0.7684, relative_absolute_error: 0.8127, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8452, scimark_benchmark: 1354.7191, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, f_measure: 0.7628, kappa: 0.5232, kb_relative_information_score: 1308.9678, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.763, predictive_accuracy: 0.7632, prior_entropy: 0.9971, recall: 0.7632, relative_absolute_error: 0.4755, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4866, root_relative_squared_error: 0.9752, scimark_benchmark: 1301.1661, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.7674, kappa: 0.5336, kb_relative_information_score: 987.3472, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7682, predictive_accuracy: 0.7672, prior_entropy: 0.9971, recall: 0.7672, relative_absolute_error: 0.6317, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.799, scimark_benchmark: 1327.5791, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7581, f_measure: 0.7429, kappa: 0.4834, kb_relative_information_score: 1046.0795, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7429, predictive_accuracy: 0.7432, prior_entropy: 0.9971, recall: 0.7432, relative_absolute_error: 0.5964, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9372, scimark_benchmark: 1151.6869, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5676, f_measure: 0.5687, kappa: 0.1349, kb_relative_information_score: 329.279, mean_absolute_error: 0.4316, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.5693, predictive_accuracy: 0.5684, prior_entropy: 0.9971, recall: 0.5684, relative_absolute_error: 0.8667, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.657, root_relative_squared_error: 1.3166, scimark_benchmark: 1340.1351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.786, kappa: 0.5704, kb_relative_information_score: 1369.085, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7861, predictive_accuracy: 0.786, prior_entropy: 0.9971, recall: 0.786, relative_absolute_error: 0.4579, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8071, scimark_benchmark: 909.1698, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6653, f_measure: 0.6858, kappa: 0.3688, kb_relative_information_score: 488.608, mean_absolute_error: 0.4162, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.6882, predictive_accuracy: 0.688, prior_entropy: 0.9971, recall: 0.688, relative_absolute_error: 0.8358, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9344, scimark_benchmark: 1320.9026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.7822, kappa: 0.5621, kb_relative_information_score: 928.2806, mean_absolute_error: 0.3325, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.783, predictive_accuracy: 0.7828, prior_entropy: 0.9971, recall: 0.7828, relative_absolute_error: 0.6677, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.7665, scimark_benchmark: 1342.3004, usercpu_time_millis: 640, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7831, kappa: 0.5641, kb_relative_information_score: 922.9805, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7836, predictive_accuracy: 0.7836, prior_entropy: 0.9971, recall: 0.7836, relative_absolute_error: 0.6692, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7694, scimark_benchmark: 1347.388, usercpu_time_millis: 360, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8159, f_measure: 0.7717, kappa: 0.5411, kb_relative_information_score: 1242.5849, mean_absolute_error: 0.2525, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7718, predictive_accuracy: 0.772, prior_entropy: 0.9971, recall: 0.772, relative_absolute_error: 0.5071, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8689, scimark_benchmark: 1006.9991, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.7674, kappa: 0.5336, kb_relative_information_score: 987.3472, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7682, predictive_accuracy: 0.7672, prior_entropy: 0.9971, recall: 0.7672, relative_absolute_error: 0.6317, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.799, scimark_benchmark: 1331.5882, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.7313, kappa: 0.4599, kb_relative_information_score: 513.8044, mean_absolute_error: 0.413, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7318, predictive_accuracy: 0.732, prior_entropy: 0.9971, recall: 0.732, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.8663, scimark_benchmark: 1352.2099, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.7072, kappa: 0.4114, kb_relative_information_score: 818.9597, mean_absolute_error: 0.3458, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7072, predictive_accuracy: 0.7076, prior_entropy: 0.9971, recall: 0.7076, relative_absolute_error: 0.6944, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8353, scimark_benchmark: 904.3681, usercpu_time_millis: 200, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7577, kappa: 0.5135, kb_relative_information_score: 1150.9517, mean_absolute_error: 0.2749, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7577, predictive_accuracy: 0.7576, prior_entropy: 0.9971, recall: 0.7576, relative_absolute_error: 0.552, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8194, scimark_benchmark: 854.5188, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8059, f_measure: 0.7082, kappa: 0.4135, kb_relative_information_score: 812.859, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7084, predictive_accuracy: 0.7088, prior_entropy: 0.9971, recall: 0.7088, relative_absolute_error: 0.6974, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.417, root_relative_squared_error: 0.8358, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.7651, kappa: 0.5279, kb_relative_information_score: 1286.0185, mean_absolute_error: 0.2435, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7655, predictive_accuracy: 0.7656, prior_entropy: 0.9971, recall: 0.7656, relative_absolute_error: 0.4891, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.43, root_relative_squared_error: 0.8617, scimark_benchmark: 938.0414, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.7606, kappa: 0.5189, kb_relative_information_score: 546.9807, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7633, predictive_accuracy: 0.762, prior_entropy: 0.9971, recall: 0.762, relative_absolute_error: 0.8208, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.424, root_relative_squared_error: 0.8498, scimark_benchmark: 1261.7298, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.7594, kappa: 0.5166, kb_relative_information_score: 546.6746, mean_absolute_error: 0.4083, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7619, predictive_accuracy: 0.7608, prior_entropy: 0.9971, recall: 0.7608, relative_absolute_error: 0.8199, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.8521, scimark_benchmark: 1064.8317, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5886, f_measure: 0.587, kappa: 0.1759, kb_relative_information_score: 421.8163, mean_absolute_error: 0.4132, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.5907, predictive_accuracy: 0.5868, prior_entropy: 0.9971, recall: 0.5868, relative_absolute_error: 0.8298, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6428, root_relative_squared_error: 1.2883, scimark_benchmark: 765.566, usercpu_time_millis: 70, usercpu_time_millis_testing: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4904, f_measure: 0.4833, kappa: -0.0342, kb_relative_information_score: -35.7904, mean_absolute_error: 0.5037, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.4849, predictive_accuracy: 0.4828, prior_entropy: 0.9971, recall: 0.4828, relative_absolute_error: 1.0116, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5792, root_relative_squared_error: 1.1608, scimark_benchmark: 1345.4669, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, f_measure: 0.3695, kb_relative_information_score: -0.6164, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.283, predictive_accuracy: 0.532, prior_entropy: 0.9971, recall: 0.532, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4991, root_relative_squared_error: 1.0002, scimark_benchmark: 765.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6819, f_measure: 0.6485, kappa: 0.2944, kb_relative_information_score: 460.786, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.6487, predictive_accuracy: 0.6484, prior_entropy: 0.9971, recall: 0.6484, relative_absolute_error: 0.8342, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4809, root_relative_squared_error: 0.9638, scimark_benchmark: 1284.2094, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7908, f_measure: 0.6984, kappa: 0.3938, kb_relative_information_score: 781.5681, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.6993, predictive_accuracy: 0.6996, prior_entropy: 0.9971, recall: 0.6996, relative_absolute_error: 0.705, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.864, scimark_benchmark: 996.6105, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, f_measure: 0.7479, kappa: 0.4932, kb_relative_information_score: 1234.5356, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7482, predictive_accuracy: 0.7484, prior_entropy: 0.9971, recall: 0.7484, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0053, scimark_benchmark: 1328.8457, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5853, f_measure: 0.5806, kappa: 0.1584, kb_relative_information_score: 383.2947, mean_absolute_error: 0.4213, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.581, predictive_accuracy: 0.5804, prior_entropy: 0.9971, recall: 0.5804, relative_absolute_error: 0.846, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6299, root_relative_squared_error: 1.2624, scimark_benchmark: 1227.9507, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5853, f_measure: 0.5806, kappa: 0.1584, kb_relative_information_score: 383.2947, mean_absolute_error: 0.4213, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.581, predictive_accuracy: 0.5804, prior_entropy: 0.9971, recall: 0.5804, relative_absolute_error: 0.846, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6299, root_relative_squared_error: 1.2624, scimark_benchmark: 1334.8341, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7486, f_measure: 0.7006, kappa: 0.3984, kb_relative_information_score: 711.2539, mean_absolute_error: 0.3672, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7005, predictive_accuracy: 0.7008, prior_entropy: 0.9971, recall: 0.7008, relative_absolute_error: 0.7374, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9147, scimark_benchmark: 1334.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.753, kappa: 0.5034, kb_relative_information_score: 999.8944, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7535, predictive_accuracy: 0.7536, prior_entropy: 0.9971, recall: 0.7536, relative_absolute_error: 0.6244, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.7852, scimark_benchmark: 1341.994, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7618, f_measure: 0.7625, kappa: 0.5232, kb_relative_information_score: 1304.9445, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7626, predictive_accuracy: 0.7624, prior_entropy: 0.9971, recall: 0.7624, relative_absolute_error: 0.4771, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4874, root_relative_squared_error: 0.9769, scimark_benchmark: 1360.5374, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.7651, kappa: 0.5277, kb_relative_information_score: 1286.1204, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7655, predictive_accuracy: 0.7656, prior_entropy: 0.9971, recall: 0.7656, relative_absolute_error: 0.4888, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.8688, scimark_benchmark: 1276.5165, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5886, f_measure: 0.587, kappa: 0.1759, kb_relative_information_score: 419.0441, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.5907, predictive_accuracy: 0.5868, prior_entropy: 0.9971, recall: 0.5868, relative_absolute_error: 0.8313, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.64, root_relative_squared_error: 1.2826, scimark_benchmark: 1334.8495, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5049, f_measure: 0.4732, kappa: -0.0117, kb_relative_information_score: -14.4311, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.4944, predictive_accuracy: 0.5116, prior_entropy: 0.9971, recall: 0.5116, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0019, scimark_benchmark: 1329.0992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7291, f_measure: 0.7306, kappa: 0.4587, kb_relative_information_score: 1146.0216, mean_absolute_error: 0.2692, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7306, predictive_accuracy: 0.7308, prior_entropy: 0.9971, recall: 0.7308, relative_absolute_error: 0.5406, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5188, root_relative_squared_error: 1.0398, scimark_benchmark: 1329.0992, usercpu_time_millis: 460, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7663, f_measure: 0.7393, kappa: 0.4769, kb_relative_information_score: 938.7518, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7396, predictive_accuracy: 0.7392, prior_entropy: 0.9971, recall: 0.7392, relative_absolute_error: 0.6505, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9027, scimark_benchmark: 1464.9318, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.7654, kappa: 0.5292, kb_relative_information_score: 1123.8371, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7657, predictive_accuracy: 0.7652, prior_entropy: 0.9971, recall: 0.7652, relative_absolute_error: 0.5671, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8179, scimark_benchmark: 1341.7207, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.7919, kappa: 0.5819, kb_relative_information_score: 1169.9702, mean_absolute_error: 0.2755, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7919, predictive_accuracy: 0.792, prior_entropy: 0.9971, recall: 0.792, relative_absolute_error: 0.5532, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.766, scimark_benchmark: 1341.8761, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, f_measure: 0.7538, kappa: 0.505, kb_relative_information_score: 1001.8136, mean_absolute_error: 0.3105, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7543, predictive_accuracy: 0.7544, prior_entropy: 0.9971, recall: 0.7544, relative_absolute_error: 0.6236, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.7846, scimark_benchmark: 918.6005, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, f_measure: 0.7768, kappa: 0.5514, kb_relative_information_score: 1331.8556, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7771, predictive_accuracy: 0.7772, prior_entropy: 0.9971, recall: 0.7772, relative_absolute_error: 0.4715, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.8911, scimark_benchmark: 906.4475, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.7518, kappa: 0.501, kb_relative_information_score: 1000.1077, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7523, predictive_accuracy: 0.7524, prior_entropy: 0.9971, recall: 0.7524, relative_absolute_error: 0.6242, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.7852, scimark_benchmark: 899.5042, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.7747, kappa: 0.5474, kb_relative_information_score: 552.0231, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7789, predictive_accuracy: 0.7764, prior_entropy: 0.9971, recall: 0.7764, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.8472, scimark_benchmark: 1331.6907, usercpu_time_millis: 350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.7788, kappa: 0.5558, kb_relative_information_score: 1270.8844, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7788, predictive_accuracy: 0.7788, prior_entropy: 0.9971, recall: 0.7788, relative_absolute_error: 0.5013, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.403, root_relative_squared_error: 0.8076, scimark_benchmark: 1384.4418, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.7793, kappa: 0.5563, kb_relative_information_score: 923.5959, mean_absolute_error: 0.3327, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7795, predictive_accuracy: 0.7796, prior_entropy: 0.9971, recall: 0.7796, relative_absolute_error: 0.6681, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.7717, scimark_benchmark: 882.7843, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.7733, kappa: 0.5444, kb_relative_information_score: 923.942, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7734, predictive_accuracy: 0.7736, prior_entropy: 0.9971, recall: 0.7736, relative_absolute_error: 0.6666, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3872, root_relative_squared_error: 0.776, scimark_benchmark: 1291.6995, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.768, kappa: 0.5339, kb_relative_information_score: 929.5196, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7679, predictive_accuracy: 0.768, prior_entropy: 0.9971, recall: 0.768, relative_absolute_error: 0.6618, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.7846, scimark_benchmark: 929.0363, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.7667, kappa: 0.531, kb_relative_information_score: 1160.0635, mean_absolute_error: 0.2739, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7671, predictive_accuracy: 0.7672, prior_entropy: 0.9971, recall: 0.7672, relative_absolute_error: 0.5501, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.8447, scimark_benchmark: 939.5205, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.7953, kappa: 0.5891, kb_relative_information_score: 1433.5128, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7955, predictive_accuracy: 0.7952, prior_entropy: 0.9971, recall: 0.7952, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.8333, scimark_benchmark: 1304.9611, usercpu_time_millis: 710, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.7852, kappa: 0.5686, kb_relative_information_score: 1386.4364, mean_absolute_error: 0.2238, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7852, predictive_accuracy: 0.7852, prior_entropy: 0.9971, recall: 0.7852, relative_absolute_error: 0.4495, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.8143, scimark_benchmark: 939.5205, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.7817, kappa: 0.5616, kb_relative_information_score: 1326.0868, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7817, predictive_accuracy: 0.7816, prior_entropy: 0.9971, recall: 0.7816, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.7935, scimark_benchmark: 854.5188, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, f_measure: 0.7949, kappa: 0.5883, kb_relative_information_score: 1295.2066, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.795, predictive_accuracy: 0.7948, prior_entropy: 0.9971, recall: 0.7948, relative_absolute_error: 0.4984, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7552, scimark_benchmark: 1304.6687, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.8027, kappa: 0.6035, kb_relative_information_score: 1261.2231, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.8027, predictive_accuracy: 0.8028, prior_entropy: 0.9971, recall: 0.8028, relative_absolute_error: 0.5185, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.735, scimark_benchmark: 943.1756, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, f_measure: 0.6305, kappa: 0.2572, kb_relative_information_score: 445.0269, mean_absolute_error: 0.4157, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.6306, predictive_accuracy: 0.6316, prior_entropy: 0.9971, recall: 0.6316, relative_absolute_error: 0.8347, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4717, root_relative_squared_error: 0.9453, scimark_benchmark: 1333.5799, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6261, kappa: 0.2493, kb_relative_information_score: 465.3576, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.6262, predictive_accuracy: 0.626, prior_entropy: 0.9971, recall: 0.626, relative_absolute_error: 0.8212, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9946, scimark_benchmark: 1363.454, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.7544, kappa: 0.5063, kb_relative_information_score: 1266.7225, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7546, predictive_accuracy: 0.7548, prior_entropy: 0.9971, recall: 0.7548, relative_absolute_error: 0.4924, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9924, scimark_benchmark: 940.3347, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5056, f_measure: 0.381, kappa: 0.0118, kb_relative_information_score: 172.3678, mean_absolute_error: 0.4628, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7525, predictive_accuracy: 0.5372, prior_entropy: 0.9971, recall: 0.5372, relative_absolute_error: 0.9294, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6803, root_relative_squared_error: 1.3634, scimark_benchmark: 915.6729, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7517, f_measure: 0.7525, kappa: 0.5031, kb_relative_information_score: 1254.6524, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7526, predictive_accuracy: 0.7524, prior_entropy: 0.9971, recall: 0.7524, relative_absolute_error: 0.4972, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9972, scimark_benchmark: 889.3151, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.7984, kappa: 0.5948, kb_relative_information_score: 1052.9512, mean_absolute_error: 0.3055, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7988, predictive_accuracy: 0.7988, prior_entropy: 0.9971, recall: 0.7988, relative_absolute_error: 0.6136, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.7549, scimark_benchmark: 906.4475, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, f_measure: 0.7628, kappa: 0.5232, kb_relative_information_score: 1308.9678, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.763, predictive_accuracy: 0.7632, prior_entropy: 0.9971, recall: 0.7632, relative_absolute_error: 0.4755, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4866, root_relative_squared_error: 0.9752, scimark_benchmark: 942.9708, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.7647, kappa: 0.5272, kb_relative_information_score: 1084.4216, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7646, predictive_accuracy: 0.7648, prior_entropy: 0.9971, recall: 0.7648, relative_absolute_error: 0.5882, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.7868, scimark_benchmark: 918.0213, usercpu_time_millis: 280, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.7665, kappa: 0.5311, kb_relative_information_score: 567.1085, mean_absolute_error: 0.4047, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7709, predictive_accuracy: 0.7684, prior_entropy: 0.9971, recall: 0.7684, relative_absolute_error: 0.8127, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8452, scimark_benchmark: 1327.8711, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6065, f_measure: 0.608, kappa: 0.2129, kb_relative_information_score: 528.4354, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.6081, predictive_accuracy: 0.608, prior_entropy: 0.9971, recall: 0.608, relative_absolute_error: 0.7872, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.2548, scimark_benchmark: 1333.5799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, f_measure: 0.7326, kappa: 0.4639, kb_relative_information_score: 908.0165, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7334, predictive_accuracy: 0.7324, prior_entropy: 0.9971, recall: 0.7324, relative_absolute_error: 0.6588, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.8888, scimark_benchmark: 1301.9956, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.769, f_measure: 0.741, kappa: 0.4823, kb_relative_information_score: 1011.4847, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.744, predictive_accuracy: 0.7408, prior_entropy: 0.9971, recall: 0.7408, relative_absolute_error: 0.6149, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.911, scimark_benchmark: 1319.6463, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6116, f_measure: 0.6126, kappa: 0.2229, kb_relative_information_score: 550.5639, mean_absolute_error: 0.3876, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.6131, predictive_accuracy: 0.6124, prior_entropy: 0.9971, recall: 0.6124, relative_absolute_error: 0.7784, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6226, root_relative_squared_error: 1.2477, scimark_benchmark: 1325.942, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3695, kb_relative_information_score: 146.216, mean_absolute_error: 0.468, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.283, predictive_accuracy: 0.532, prior_entropy: 0.9971, recall: 0.532, relative_absolute_error: 0.9398, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6841, root_relative_squared_error: 1.371, scimark_benchmark: 960.2161, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7141, f_measure: 0.713, kappa: 0.4239, kb_relative_information_score: 1033.5821, mean_absolute_error: 0.293, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7132, predictive_accuracy: 0.7128, prior_entropy: 0.9971, recall: 0.7128, relative_absolute_error: 0.5884, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5283, root_relative_squared_error: 1.0588, scimark_benchmark: 1330.0803, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6285, f_measure: 0.63, kappa: 0.2569, kb_relative_information_score: 639.0779, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.63, predictive_accuracy: 0.63, prior_entropy: 0.9971, recall: 0.63, relative_absolute_error: 0.743, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.2191, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7325, f_measure: 0.7339, kappa: 0.4653, kb_relative_information_score: 1162.1151, mean_absolute_error: 0.266, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7338, predictive_accuracy: 0.734, prior_entropy: 0.9971, recall: 0.734, relative_absolute_error: 0.5342, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5158, root_relative_squared_error: 1.0336, scimark_benchmark: 1341.2341, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, f_measure: 0.3695, kb_relative_information_score: -0.6164, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.283, predictive_accuracy: 0.532, prior_entropy: 0.9971, recall: 0.532, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4991, root_relative_squared_error: 1.0002, scimark_benchmark: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7669, f_measure: 0.7472, kappa: 0.4923, kb_relative_information_score: 1223.216, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7472, predictive_accuracy: 0.7472, prior_entropy: 0.9971, recall: 0.7472, relative_absolute_error: 0.5109, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.49, root_relative_squared_error: 0.982, scimark_benchmark: 1505.597, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, build_cpu_time: 11.3035, build_memory: 2525653177.68, f_measure: 0.8183, kappa: 0.6351, kb_relative_information_score: 1585.6771, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.8183, predictive_accuracy: 0.8184, prior_entropy: 0.9971, recall: 0.8184, relative_absolute_error: 0.3651, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.8505, scimark_benchmark: 941.2906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, build_cpu_time: 5.3363, build_memory: 1743905147.92, f_measure: 0.814, kappa: 0.6264, kb_relative_information_score: 1562.8077, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.814, predictive_accuracy: 0.814, prior_entropy: 0.9971, recall: 0.814, relative_absolute_error: 0.3743, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8568, scimark_benchmark: 939.7104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, build_cpu_time: 2.3702, build_memory: 1411520502, f_measure: 0.8103, kappa: 0.619, kb_relative_information_score: 1542.9348, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.8103, predictive_accuracy: 0.8104, prior_entropy: 0.9971, recall: 0.8104, relative_absolute_error: 0.3823, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.8584, scimark_benchmark: 944.0892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, build_cpu_time: 1.2154, build_memory: 853263825.52, f_measure: 0.8092, kappa: 0.6169, kb_relative_information_score: 1524.7636, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.8092, predictive_accuracy: 0.8092, prior_entropy: 0.9971, recall: 0.8092, relative_absolute_error: 0.3902, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.856, scimark_benchmark: 938.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, build_cpu_time: 0.7802, build_memory: 883935696.8, f_measure: 0.7875, kappa: 0.5732, kb_relative_information_score: 1428.5139, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.7875, predictive_accuracy: 0.7876, prior_entropy: 0.9971, recall: 0.7876, relative_absolute_error: 0.4272, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.8775, scimark_benchmark: 944.2629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, build_cpu_time: 4.9252, build_memory: 93582772.64, f_measure: 0.7975, kappa: 0.5934, kb_relative_information_score: 942.0925, mean_absolute_error: 0.3303, mean_prior_absolute_error: 0.498, number_of_instances: 2500, precision: 0.8027, predictive_accuracy: 0.7992, prior_entropy: 0.9971, recall: 0.7992, relative_absolute_error: 0.6634, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7627, scimark_benchmark: 941.3525,

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