Task
Supervised Classification on rmftsa_sleepdata

Supervised Classification on rmftsa_sleepdata

Task 4279 Supervised Classification rmftsa_sleepdata 178 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

178 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6619, f_measure: 0.4001, kappa: 0.2248, kb_relative_information_score: 1679.3638, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3719, predictive_accuracy: 0.4889, prior_entropy: 1.8507, recall: 0.4889, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.9513, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6619, f_measure: 0.4001, kappa: 0.2248, kb_relative_information_score: 1679.3638, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3719, predictive_accuracy: 0.4889, prior_entropy: 1.8507, recall: 0.4889, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.9513, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6619, f_measure: 0.4001, kappa: 0.2248, kb_relative_information_score: 1679.3638, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3719, predictive_accuracy: 0.4889, prior_entropy: 1.8507, recall: 0.4889, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.9513, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6619, f_measure: 0.4001, kappa: 0.2248, kb_relative_information_score: 1679.3638, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3719, predictive_accuracy: 0.4889, prior_entropy: 1.8507, recall: 0.4889, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.9513, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6619, f_measure: 0.4001, kappa: 0.2248, kb_relative_information_score: 1679.3638, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3719, predictive_accuracy: 0.4889, prior_entropy: 1.8507, recall: 0.4889, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.9513, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.488, kappa: 0.2887, kb_relative_information_score: 2673.0268, mean_absolute_error: 0.2873, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4789, predictive_accuracy: 0.522, prior_entropy: 1.8507, recall: 0.522, relative_absolute_error: 0.8175, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.388, root_relative_squared_error: 0.9257, scimark_benchmark: 1322.7383, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6619, f_measure: 0.4001, kappa: 0.2248, kb_relative_information_score: 1679.3638, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3719, predictive_accuracy: 0.4889, prior_entropy: 1.8507, recall: 0.4889, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.9513, scimark_benchmark: 1343.2125, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.4725, kappa: 0.2512, kb_relative_information_score: 2894.9713, mean_absolute_error: 0.2799, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4669, predictive_accuracy: 0.4817, prior_entropy: 1.8507, recall: 0.4817, relative_absolute_error: 0.7964, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4244, root_relative_squared_error: 1.0125, scimark_benchmark: 1354.7191, usercpu_time_millis: 280, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7454, f_measure: 0.4353, kappa: 0.2532, kb_relative_information_score: 2100.6567, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4451, predictive_accuracy: 0.5195, prior_entropy: 1.8507, recall: 0.5195, relative_absolute_error: 0.865, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.9223, scimark_benchmark: 1312.0581, usercpu_time_millis: 700, usercpu_time_millis_testing: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6726, f_measure: 0.4555, kappa: 0.25, kb_relative_information_score: 2386.8516, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4533, predictive_accuracy: 0.5017, prior_entropy: 1.8507, recall: 0.5017, relative_absolute_error: 0.835, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.9896, scimark_benchmark: 1328.941, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.649, f_measure: 0.4693, kappa: 0.2477, kb_relative_information_score: 2912.2391, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4712, predictive_accuracy: 0.4832, prior_entropy: 1.8507, recall: 0.4832, relative_absolute_error: 0.7915, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4609, root_relative_squared_error: 1.0997, scimark_benchmark: 1340.1351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6677, f_measure: 0.4802, kappa: 0.2842, kb_relative_information_score: 3130.3219, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4754, predictive_accuracy: 0.5227, prior_entropy: 1.8507, recall: 0.5227, relative_absolute_error: 0.7276, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4481, root_relative_squared_error: 1.069, scimark_benchmark: 1339.9935, usercpu_time_millis: 280, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6464, f_measure: 0.408, kappa: 0.2193, kb_relative_information_score: 1529.5602, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3893, predictive_accuracy: 0.4853, prior_entropy: 1.8507, recall: 0.4853, relative_absolute_error: 0.9048, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.9583, scimark_benchmark: 1357.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6464, f_measure: 0.3587, kappa: 0.146, kb_relative_information_score: 809.8771, mean_absolute_error: 0.3357, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4217, predictive_accuracy: 0.4604, prior_entropy: 1.8507, recall: 0.4604, relative_absolute_error: 0.9553, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.9683, scimark_benchmark: 1351.6526, usercpu_time_millis: 240, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6447, f_measure: 0.3606, kappa: 0.1457, kb_relative_information_score: 823.2965, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.421, predictive_accuracy: 0.4556, prior_entropy: 1.8507, recall: 0.4556, relative_absolute_error: 0.955, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.406, root_relative_squared_error: 0.9688, scimark_benchmark: 1318.8785, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6204, f_measure: 0.3951, kappa: 0.2163, kb_relative_information_score: 2935.2958, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3967, predictive_accuracy: 0.4837, prior_entropy: 1.8507, recall: 0.4837, relative_absolute_error: 0.739, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4968, root_relative_squared_error: 1.1853, scimark_benchmark: 1305.601, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6701, f_measure: 0.406, kappa: 0.1886, kb_relative_information_score: 1868.2509, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3942, predictive_accuracy: 0.4652, prior_entropy: 1.8507, recall: 0.4652, relative_absolute_error: 0.8882, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.965, scimark_benchmark: 1320.9026, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6743, f_measure: 0.4068, kappa: 0.1972, kb_relative_information_score: 1846.0898, mean_absolute_error: 0.3123, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4023, predictive_accuracy: 0.4729, prior_entropy: 1.8507, recall: 0.4729, relative_absolute_error: 0.8886, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.9583, scimark_benchmark: 854.5188, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7467, f_measure: 0.4938, kappa: 0.299, kb_relative_information_score: 2680.7626, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4881, predictive_accuracy: 0.5296, prior_entropy: 1.8507, recall: 0.5296, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.9184, scimark_benchmark: 833.3193, usercpu_time_millis: 370, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6242, f_measure: 0.366, kappa: 0.158, kb_relative_information_score: 1252.8374, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3078, predictive_accuracy: 0.4567, prior_entropy: 1.8507, recall: 0.4567, relative_absolute_error: 0.9305, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.9774, scimark_benchmark: 1308.3432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6754, f_measure: 0.399, kappa: 0.1935, kb_relative_information_score: 1715.1407, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3738, predictive_accuracy: 0.4704, prior_entropy: 1.8507, recall: 0.4704, relative_absolute_error: 0.8949, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.9527, scimark_benchmark: 1322.4968, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5194, f_measure: 0.3279, kappa: 0.0374, kb_relative_information_score: 1263.3463, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3208, predictive_accuracy: 0.338, prior_entropy: 1.8507, recall: 0.338, relative_absolute_error: 0.9419, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.5753, root_relative_squared_error: 1.3727, scimark_benchmark: 1358.4523, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6677, f_measure: 0.4754, kappa: 0.2572, kb_relative_information_score: 2983.045, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4772, predictive_accuracy: 0.4898, prior_entropy: 1.8507, recall: 0.4898, relative_absolute_error: 0.785, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.456, root_relative_squared_error: 1.088, scimark_benchmark: 1288.1375, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4943, f_measure: 0.2232, kb_relative_information_score: 3.8405, mean_absolute_error: 0.3515, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.1557, predictive_accuracy: 0.3945, prior_entropy: 1.8507, recall: 0.3945, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4191, root_relative_squared_error: 1, scimark_benchmark: 765.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2232, kb_relative_information_score: 1629.3562, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.1557, predictive_accuracy: 0.3945, prior_entropy: 1.8507, recall: 0.3945, relative_absolute_error: 0.8614, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.5502, root_relative_squared_error: 1.3127, scimark_benchmark: 1305.7231, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6049, f_measure: 0.3752, kappa: 0.185, kb_relative_information_score: 1049.4381, mean_absolute_error: 0.3315, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.318, predictive_accuracy: 0.4622, prior_entropy: 1.8507, recall: 0.4622, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.976, scimark_benchmark: 1284.2094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.4232, kappa: 0.2555, kb_relative_information_score: 1994.1149, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3942, predictive_accuracy: 0.5121, prior_entropy: 1.8507, recall: 0.5121, relative_absolute_error: 0.8792, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.9384, scimark_benchmark: 943.1756, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5981, f_measure: 0.3772, kappa: 0.1738, kb_relative_information_score: 1184.9947, mean_absolute_error: 0.3241, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.404, predictive_accuracy: 0.484, prior_entropy: 1.8507, recall: 0.484, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.405, root_relative_squared_error: 0.9662, scimark_benchmark: 1349.9741, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6468, f_measure: 0.357, kappa: 0.1431, kb_relative_information_score: 809.7877, mean_absolute_error: 0.3358, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4204, predictive_accuracy: 0.4586, prior_entropy: 1.8507, recall: 0.4586, relative_absolute_error: 0.9554, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.9684, scimark_benchmark: 1329.8902, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5854, f_measure: 0.3801, kappa: 0.1678, kb_relative_information_score: 2509.9524, mean_absolute_error: 0.275, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.37, predictive_accuracy: 0.45, prior_entropy: 1.8507, recall: 0.45, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.5244, root_relative_squared_error: 1.2512, scimark_benchmark: 1339.4964, usercpu_time_millis: 290, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6894, f_measure: 0.4851, kappa: 0.2784, kb_relative_information_score: 2537.4156, mean_absolute_error: 0.2932, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4775, predictive_accuracy: 0.5118, prior_entropy: 1.8507, recall: 0.5118, relative_absolute_error: 0.8344, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.9773, scimark_benchmark: 1270.2428, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6894, f_measure: 0.4851, kappa: 0.2784, kb_relative_information_score: 2537.4156, mean_absolute_error: 0.2932, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4775, predictive_accuracy: 0.5118, prior_entropy: 1.8507, recall: 0.5118, relative_absolute_error: 0.8344, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.9773, scimark_benchmark: 1329.5214, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6558, f_measure: 0.3967, kappa: 0.2199, kb_relative_information_score: 1606.8493, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3686, predictive_accuracy: 0.4864, prior_entropy: 1.8507, recall: 0.4864, relative_absolute_error: 0.9019, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.9557, scimark_benchmark: 986.8456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6241, f_measure: 0.3656, kappa: 0.1575, kb_relative_information_score: 1248.4149, mean_absolute_error: 0.3271, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3075, predictive_accuracy: 0.4566, prior_entropy: 1.8507, recall: 0.4566, relative_absolute_error: 0.9308, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.9774, scimark_benchmark: 1334.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.624, f_measure: 0.3664, kappa: 0.159, kb_relative_information_score: 1246.4474, mean_absolute_error: 0.3271, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3082, predictive_accuracy: 0.4576, prior_entropy: 1.8507, recall: 0.4576, relative_absolute_error: 0.9309, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.9774, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5992, f_measure: 0.3614, kappa: 0.1508, kb_relative_information_score: 800.6583, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3041, predictive_accuracy: 0.4542, prior_entropy: 1.8507, recall: 0.4542, relative_absolute_error: 0.9659, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.984, scimark_benchmark: 1276.5165, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6085, f_measure: 0.4446, kappa: 0.2088, kb_relative_information_score: 2704.7972, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4435, predictive_accuracy: 0.4457, prior_entropy: 1.8507, recall: 0.4457, relative_absolute_error: 0.7886, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.5264, root_relative_squared_error: 1.256, scimark_benchmark: 1348.8402, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5323, f_measure: 0.2894, kappa: 0.0605, kb_relative_information_score: 211.8137, mean_absolute_error: 0.3723, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.6189, predictive_accuracy: 0.4269, prior_entropy: 1.8507, recall: 0.4269, relative_absolute_error: 1.0592, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4303, root_relative_squared_error: 1.0267, scimark_benchmark: 1329.0992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5717, f_measure: 0.3709, kappa: 0.1698, kb_relative_information_score: 847.3294, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3106, predictive_accuracy: 0.4607, prior_entropy: 1.8507, recall: 0.4607, relative_absolute_error: 0.9595, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.9815, scimark_benchmark: 1326.6647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7184, f_measure: 0.5011, kappa: 0.3062, kb_relative_information_score: 2795.4034, mean_absolute_error: 0.2833, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4939, predictive_accuracy: 0.5313, prior_entropy: 1.8507, recall: 0.5313, relative_absolute_error: 0.806, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.9515, scimark_benchmark: 932.0242, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7053, f_measure: 0.4616, kappa: 0.2604, kb_relative_information_score: 2099.0064, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4527, predictive_accuracy: 0.5091, prior_entropy: 1.8507, recall: 0.5091, relative_absolute_error: 0.8555, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.931, scimark_benchmark: 1334.3805, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.4857, kappa: 0.2879, kb_relative_information_score: 2643.0811, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4773, predictive_accuracy: 0.5216, prior_entropy: 1.8507, recall: 0.5216, relative_absolute_error: 0.8149, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.9358, scimark_benchmark: 1321.7236, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6469, f_measure: 0.3566, kappa: 0.141, kb_relative_information_score: 813.7718, mean_absolute_error: 0.3357, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4225, predictive_accuracy: 0.4561, prior_entropy: 1.8507, recall: 0.4561, relative_absolute_error: 0.9553, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.9684, scimark_benchmark: 1341.468, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6417, f_measure: 0.3588, kappa: 0.1425, kb_relative_information_score: 822.9049, mean_absolute_error: 0.3357, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4016, predictive_accuracy: 0.4553, prior_entropy: 1.8507, recall: 0.4553, relative_absolute_error: 0.9552, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.97, scimark_benchmark: 934.1747, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6755, f_measure: 0.3963, kappa: 0.1883, kb_relative_information_score: 1787.6725, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3827, predictive_accuracy: 0.4679, prior_entropy: 1.8507, recall: 0.4679, relative_absolute_error: 0.8911, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.9546, scimark_benchmark: 1321.8733, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.4966, kappa: 0.3028, kb_relative_information_score: 2678.6511, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4911, predictive_accuracy: 0.5322, prior_entropy: 1.8507, recall: 0.5322, relative_absolute_error: 0.8179, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.9188, scimark_benchmark: 1329.4192, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5663, f_measure: 0.3192, kappa: 0.1074, kb_relative_information_score: 243.6201, mean_absolute_error: 0.3715, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.467, predictive_accuracy: 0.4294, prior_entropy: 1.8507, recall: 0.4294, relative_absolute_error: 1.0572, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4303, root_relative_squared_error: 1.0267, scimark_benchmark: 854.5188, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.746, f_measure: 0.4989, kappa: 0.3057, kb_relative_information_score: 2685.0356, mean_absolute_error: 0.2873, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4934, predictive_accuracy: 0.5339, prior_entropy: 1.8507, recall: 0.5339, relative_absolute_error: 0.8176, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.9192, scimark_benchmark: 925.4974, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.744, f_measure: 0.4963, kappa: 0.3009, kb_relative_information_score: 2687.7678, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4897, predictive_accuracy: 0.5303, prior_entropy: 1.8507, recall: 0.5303, relative_absolute_error: 0.8173, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.9211, scimark_benchmark: 942.9518, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.488, kappa: 0.2887, kb_relative_information_score: 2673.0268, mean_absolute_error: 0.2873, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4789, predictive_accuracy: 0.522, prior_entropy: 1.8507, recall: 0.522, relative_absolute_error: 0.8175, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.388, root_relative_squared_error: 0.9257, scimark_benchmark: 940.0008, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7184, f_measure: 0.5011, kappa: 0.3062, kb_relative_information_score: 2795.4034, mean_absolute_error: 0.2833, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4939, predictive_accuracy: 0.5313, prior_entropy: 1.8507, recall: 0.5313, relative_absolute_error: 0.806, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.9515, scimark_benchmark: 939.5205, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5717, f_measure: 0.3709, kappa: 0.1698, kb_relative_information_score: 847.3294, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3106, predictive_accuracy: 0.4607, prior_entropy: 1.8507, recall: 0.4607, relative_absolute_error: 0.9595, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.9815, scimark_benchmark: 889.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5717, f_measure: 0.3709, kappa: 0.1698, kb_relative_information_score: 847.3294, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3106, predictive_accuracy: 0.4607, prior_entropy: 1.8507, recall: 0.4607, relative_absolute_error: 0.9595, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.9815, scimark_benchmark: 939.5205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5717, f_measure: 0.3709, kappa: 0.1698, kb_relative_information_score: 847.3294, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3106, predictive_accuracy: 0.4607, prior_entropy: 1.8507, recall: 0.4607, relative_absolute_error: 0.9595, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.9815, scimark_benchmark: 916.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5717, f_measure: 0.3709, kappa: 0.1698, kb_relative_information_score: 847.3294, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3106, predictive_accuracy: 0.4607, prior_entropy: 1.8507, recall: 0.4607, relative_absolute_error: 0.9595, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.9815, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5717, f_measure: 0.3709, kappa: 0.1698, kb_relative_information_score: 847.3294, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3106, predictive_accuracy: 0.4607, prior_entropy: 1.8507, recall: 0.4607, relative_absolute_error: 0.9595, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.9815, scimark_benchmark: 943.1756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.4999, kappa: 0.2924, kb_relative_information_score: 2983.5533, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4992, predictive_accuracy: 0.5163, prior_entropy: 1.8507, recall: 0.5163, relative_absolute_error: 0.793, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.956, scimark_benchmark: 937.1527, usercpu_time_millis: 70, usercpu_time_millis_testing: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7048, f_measure: 0.5084, kappa: 0.3041, kb_relative_information_score: 3029.5113, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.5084, predictive_accuracy: 0.5229, prior_entropy: 1.8507, recall: 0.5229, relative_absolute_error: 0.7888, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.984, scimark_benchmark: 882.7843, usercpu_time_millis: 70, usercpu_time_millis_testing: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2232, kb_relative_information_score: 905.8392, mean_absolute_error: 0.335, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.1557, predictive_accuracy: 0.3945, prior_entropy: 1.8507, recall: 0.3945, relative_absolute_error: 0.9533, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4269, root_relative_squared_error: 1.0186, scimark_benchmark: 1034.1273, usercpu_time_millis: 1190, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5858, f_measure: 0.3563, kappa: 0.1417, kb_relative_information_score: 1335.1353, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.2999, predictive_accuracy: 0.4497, prior_entropy: 1.8507, recall: 0.4497, relative_absolute_error: 0.9332, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.9985, scimark_benchmark: 1297.6356, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5976, f_measure: 0.3629, kappa: 0.1531, kb_relative_information_score: 756.1831, mean_absolute_error: 0.3419, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.307, predictive_accuracy: 0.4571, prior_entropy: 1.8507, recall: 0.4571, relative_absolute_error: 0.9729, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4127, root_relative_squared_error: 0.9846, scimark_benchmark: 889.3151, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5194, f_measure: 0.3279, kappa: 0.0374, kb_relative_information_score: 1263.3463, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3208, predictive_accuracy: 0.338, prior_entropy: 1.8507, recall: 0.338, relative_absolute_error: 0.9419, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.5753, root_relative_squared_error: 1.3727, scimark_benchmark: 938.343, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.4725, kappa: 0.2512, kb_relative_information_score: 2894.9713, mean_absolute_error: 0.2799, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4669, predictive_accuracy: 0.4817, prior_entropy: 1.8507, recall: 0.4817, relative_absolute_error: 0.7964, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4244, root_relative_squared_error: 1.0125, scimark_benchmark: 1072.3689, usercpu_time_millis: 270, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6468, f_measure: 0.4659, kappa: 0.244, kb_relative_information_score: 2863.2336, mean_absolute_error: 0.2798, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4676, predictive_accuracy: 0.4805, prior_entropy: 1.8507, recall: 0.4805, relative_absolute_error: 0.7961, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4626, root_relative_squared_error: 1.1037, scimark_benchmark: 1301.9956, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.716, f_measure: 0.476, kappa: 0.2816, kb_relative_information_score: 2544.0327, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4703, predictive_accuracy: 0.5208, prior_entropy: 1.8507, recall: 0.5208, relative_absolute_error: 0.827, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.9441, scimark_benchmark: 1327.8711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7154, f_measure: 0.4762, kappa: 0.2848, kb_relative_information_score: 2562.8447, mean_absolute_error: 0.2898, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4714, predictive_accuracy: 0.5231, prior_entropy: 1.8507, recall: 0.5231, relative_absolute_error: 0.8246, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.9432, scimark_benchmark: 1321.6263, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6067, f_measure: 0.4404, kappa: 0.2047, kb_relative_information_score: 2647.2292, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4409, predictive_accuracy: 0.44, prior_entropy: 1.8507, recall: 0.44, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.5291, root_relative_squared_error: 1.2624, scimark_benchmark: 1325.942, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.194, kappa: 0.0036, kb_relative_information_score: -51.5635, mean_absolute_error: 0.403, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.2847, predictive_accuracy: 0.194, prior_entropy: 1.8507, recall: 0.194, relative_absolute_error: 1.1466, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.6348, root_relative_squared_error: 1.5146, scimark_benchmark: 1435.4217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7223, f_measure: 0.4849, kappa: 0.28, kb_relative_information_score: 2788.0149, mean_absolute_error: 0.2826, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4729, predictive_accuracy: 0.5127, prior_entropy: 1.8507, recall: 0.5127, relative_absolute_error: 0.8041, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.9499, scimark_benchmark: 1330.0803, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5722, f_measure: 0.376, kappa: 0.1408, kb_relative_information_score: 2294.2696, mean_absolute_error: 0.2834, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3553, predictive_accuracy: 0.4331, prior_entropy: 1.8507, recall: 0.4331, relative_absolute_error: 0.8065, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.5324, root_relative_squared_error: 1.2702, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6332, f_measure: 0.4668, kappa: 0.2556, kb_relative_information_score: 3127.1799, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4625, predictive_accuracy: 0.4854, prior_entropy: 1.8507, recall: 0.4854, relative_absolute_error: 0.7322, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.5073, root_relative_squared_error: 1.2103, scimark_benchmark: 1341.2341, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4943, f_measure: 0.2232, kb_relative_information_score: 3.8405, mean_absolute_error: 0.3515, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.1557, predictive_accuracy: 0.3945, prior_entropy: 1.8507, recall: 0.3945, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.4191, root_relative_squared_error: 1, scimark_benchmark: 1418.5826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7184, f_measure: 0.5011, kappa: 0.3062, kb_relative_information_score: 2795.4034, mean_absolute_error: 0.2833, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4939, predictive_accuracy: 0.5313, prior_entropy: 1.8507, recall: 0.5313, relative_absolute_error: 0.806, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.9515, scimark_benchmark: 1339.4189, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7082, build_cpu_time: 8.1629, build_memory: 364801967.7125, f_measure: 0.4146, kappa: 0.2392, kb_relative_information_score: 1546.5606, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.3923, predictive_accuracy: 0.5149, prior_entropy: 1.8507, recall: 0.5149, relative_absolute_error: 0.9002, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.394, root_relative_squared_error: 0.94, scimark_benchmark: 942.6232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7349, build_cpu_time: 1.1819, build_memory: 2324038478.9703, f_measure: 0.5026, kappa: 0.3006, kb_relative_information_score: 2842.1549, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.496, predictive_accuracy: 0.5252, prior_entropy: 1.8507, recall: 0.5252, relative_absolute_error: 0.8026, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.393, root_relative_squared_error: 0.9376, scimark_benchmark: 945.7393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7349, build_cpu_time: 1.2116, build_memory: 734849856.9828, f_measure: 0.5012, kappa: 0.2988, kb_relative_information_score: 2844.2747, mean_absolute_error: 0.2819, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4943, predictive_accuracy: 0.5238, prior_entropy: 1.8507, recall: 0.5238, relative_absolute_error: 0.8022, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.9378, scimark_benchmark: 938.0266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, build_cpu_time: 0.3585, build_memory: 1846233670.607, f_measure: 0.5008, kappa: 0.2981, kb_relative_information_score: 2847.2655, mean_absolute_error: 0.2819, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.494, predictive_accuracy: 0.5231, prior_entropy: 1.8507, recall: 0.5231, relative_absolute_error: 0.8022, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.9391, scimark_benchmark: 932.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, build_cpu_time: 0.2018, build_memory: 2386312461.3969, f_measure: 0.4964, kappa: 0.2918, kb_relative_information_score: 2840.7859, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.3514, number_of_instances: 10240, precision: 0.4889, predictive_accuracy: 0.5188, prior_entropy: 1.8507, recall: 0.5188, relative_absolute_error: 0.8023, root_mean_prior_squared_error: 0.4191, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.9412, scimark_benchmark: 944.1958,

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