Task
Supervised Classification on AP_Endometrium_Prostate

Supervised Classification on AP_Endometrium_Prostate

Task 3975 Supervised Classification AP_Endometrium_Prostate 77 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 slow study_123 study_15 study_20 under100k
Issue #Downvotes for this reason By


Metric:

77 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9692, kappa: 0.9382, kb_relative_information_score: 121.3946, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9692, predictive_accuracy: 0.9692, prior_entropy: 0.9973, recall: 0.9692, relative_absolute_error: 0.0679, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.3064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.9693, kappa: 0.9383, kb_relative_information_score: 121.9468, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9697, predictive_accuracy: 0.9692, prior_entropy: 0.9973, recall: 0.9692, relative_absolute_error: 0.0618, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.3515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.9308, kappa: 0.8611, kb_relative_information_score: 111.3984, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9309, predictive_accuracy: 0.9308, prior_entropy: 0.9973, recall: 0.9308, relative_absolute_error: 0.1442, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.5254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9693, kappa: 0.9385, kb_relative_information_score: 116.2363, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9711, predictive_accuracy: 0.9692, prior_entropy: 0.9973, recall: 0.9692, relative_absolute_error: 0.1193, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.3055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 129.9894, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9973, recall: 1, root_mean_prior_squared_error: 0.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 113.0046, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9973, recall: 1, relative_absolute_error: 0.1602, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.128, root_relative_squared_error: 0.2565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9692, kappa: 0.9381, kb_relative_information_score: 121.9468, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9696, predictive_accuracy: 0.9692, prior_entropy: 0.9973, recall: 0.9692, relative_absolute_error: 0.0618, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.3515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9923, kappa: 0.9845, kb_relative_information_score: 127.9787, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9924, predictive_accuracy: 0.9923, prior_entropy: 0.9973, recall: 0.9923, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.1757, scimark_benchmark: 1150.4212, usercpu_time_millis: 520, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4861, f_measure: 0.3681, kb_relative_information_score: -0.0472, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.2817, predictive_accuracy: 0.5308, prior_entropy: 0.9973, recall: 0.5308, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4991, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9769, kappa: 0.9537, kb_relative_information_score: 116.4452, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9771, predictive_accuracy: 0.9769, prior_entropy: 0.9973, recall: 0.9769, relative_absolute_error: 0.1204, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.1324, root_relative_squared_error: 0.2654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9923, kappa: 0.9846, kb_relative_information_score: 127.9787, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9924, predictive_accuracy: 0.9923, prior_entropy: 0.9973, recall: 0.9923, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.1757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.3681, kb_relative_information_score: 6.4201, mean_absolute_error: 0.4729, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.2817, predictive_accuracy: 0.5308, prior_entropy: 0.9973, recall: 0.5308, relative_absolute_error: 0.9492, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6693, root_relative_squared_error: 1.3411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4861, f_measure: 0.3624, kappa: -0.0264, kb_relative_information_score: -1.4821, mean_absolute_error: 0.5021, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.4615, predictive_accuracy: 0.4615, prior_entropy: 0.9973, recall: 0.4615, relative_absolute_error: 1.008, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5035, root_relative_squared_error: 1.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 129.9894, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9973, recall: 1, root_mean_prior_squared_error: 0.4991, scimark_benchmark: 1922.3298, usercpu_time_millis: 3734.375, usercpu_time_millis_testing: 1781.25, usercpu_time_millis_training: 1953.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 129.9894, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9973, recall: 1, root_mean_prior_squared_error: 0.4991, scimark_benchmark: 1922.3298, usercpu_time_millis: 3609.375, usercpu_time_millis_testing: 1593.75, usercpu_time_millis_training: 2015.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3681, kb_relative_information_score: 7.3404, mean_absolute_error: 0.4692, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.2817, predictive_accuracy: 0.5308, prior_entropy: 0.9973, recall: 0.5308, relative_absolute_error: 0.942, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.685, root_relative_squared_error: 1.3726, scimark_benchmark: 1922.3298, usercpu_time_millis: 5562.5, usercpu_time_millis_testing: 2906.25, usercpu_time_millis_training: 2656.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3681, kb_relative_information_score: 7.3404, mean_absolute_error: 0.4692, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.2817, predictive_accuracy: 0.5308, prior_entropy: 0.9973, recall: 0.5308, relative_absolute_error: 0.942, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.685, root_relative_squared_error: 1.3726, scimark_benchmark: 1280.301, usercpu_time_millis: 7890.625, usercpu_time_millis_testing: 3593.75, usercpu_time_millis_training: 4296.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3681, kb_relative_information_score: 7.3404, mean_absolute_error: 0.4692, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.2817, predictive_accuracy: 0.5308, prior_entropy: 0.9973, recall: 0.5308, relative_absolute_error: 0.942, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.685, root_relative_squared_error: 1.3726, scimark_benchmark: 1379.7187, usercpu_time_millis: 8900, usercpu_time_millis_testing: 3980, usercpu_time_millis_training: 4920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3681, kb_relative_information_score: 7.3404, mean_absolute_error: 0.4692, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.2817, predictive_accuracy: 0.5308, prior_entropy: 0.9973, recall: 0.5308, relative_absolute_error: 0.942, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.685, root_relative_squared_error: 1.3726, scimark_benchmark: 1690.2633, usercpu_time_millis: 6300, usercpu_time_millis_testing: 3050, usercpu_time_millis_training: 3250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 129.9894, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9973, recall: 1, root_mean_prior_squared_error: 0.4991, scimark_benchmark: 1391.5047, usercpu_time_millis: 4250, usercpu_time_millis_testing: 1900, usercpu_time_millis_training: 2350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 129.9894, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9973, recall: 1, root_mean_prior_squared_error: 0.4991, scimark_benchmark: 1625.2675, usercpu_time_millis: 3750, usercpu_time_millis_testing: 1870, usercpu_time_millis_training: 1880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4861, f_measure: 0.3624, kappa: -0.0264, kb_relative_information_score: -1.4821, mean_absolute_error: 0.5021, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.4615, predictive_accuracy: 0.4615, prior_entropy: 0.9973, recall: 0.4615, relative_absolute_error: 1.008, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5035, root_relative_squared_error: 1.009, scimark_benchmark: 1972.1978, usercpu_time_millis: 88203.125, usercpu_time_millis_testing: 26531.25, usercpu_time_millis_training: 61671.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5297, f_measure: 0.3681, kb_relative_information_score: 9.1809, mean_absolute_error: 0.462, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.2817, predictive_accuracy: 0.5308, prior_entropy: 0.9973, recall: 0.5308, relative_absolute_error: 0.9274, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.636, root_relative_squared_error: 1.2744, scimark_benchmark: 1665.974, usercpu_time_millis: 134562.5, usercpu_time_millis_testing: 32515.625, usercpu_time_millis_training: 102046.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5139, f_measure: 0.2997, kb_relative_information_score: -0.7672, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.2202, predictive_accuracy: 0.4692, prior_entropy: 0.9973, recall: 0.4692, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0024, scimark_benchmark: 1174.6457, usercpu_time_millis: 94330, usercpu_time_millis_testing: 22140, usercpu_time_millis_training: 72190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9923, kappa: 0.9846, kb_relative_information_score: 127.9787, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9924, predictive_accuracy: 0.9923, prior_entropy: 0.9973, recall: 0.9923, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.1757, scimark_benchmark: 1269.75, usercpu_time_millis: 2290, usercpu_time_millis_testing: 1150, usercpu_time_millis_training: 1140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 129.9894, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9973, recall: 1, root_mean_prior_squared_error: 0.4991, scimark_benchmark: 1428.8092, usercpu_time_millis: 630, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9923, kappa: 0.9846, kb_relative_information_score: 127.9787, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9924, predictive_accuracy: 0.9923, prior_entropy: 0.9973, recall: 0.9923, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.1757, scimark_benchmark: 1182.9423, usercpu_time_millis: 3360, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 3290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5071, f_measure: 0.2997, kb_relative_information_score: -1.2044, mean_absolute_error: 0.5013, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.2202, predictive_accuracy: 0.4692, prior_entropy: 0.9973, recall: 0.4692, relative_absolute_error: 1.0064, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5025, root_relative_squared_error: 1.0069, scimark_benchmark: 1161.6885, usercpu_time_millis: 220200, usercpu_time_millis_testing: 61570, usercpu_time_millis_training: 158630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9846, kappa: 0.9691, kb_relative_information_score: 125.9682, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9846, predictive_accuracy: 0.9846, prior_entropy: 0.9973, recall: 0.9846, relative_absolute_error: 0.0309, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.124, root_relative_squared_error: 0.2485, scimark_benchmark: 1178.0663, usercpu_time_millis: 8050, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 8020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9923, kappa: 0.9845, kb_relative_information_score: 126.4163, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9924, predictive_accuracy: 0.9923, prior_entropy: 0.9973, recall: 0.9923, relative_absolute_error: 0.0321, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1751, scimark_benchmark: 1324.0953, usercpu_time_millis: 1630, usercpu_time_millis_testing: 1010, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9692, kappa: 0.9382, kb_relative_information_score: 121.9468, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9692, predictive_accuracy: 0.9692, prior_entropy: 0.9973, recall: 0.9692, relative_absolute_error: 0.0618, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.3515, scimark_benchmark: 1257.0198, usercpu_time_millis: 850, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9692, kappa: 0.9382, kb_relative_information_score: 121.9468, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9692, predictive_accuracy: 0.9692, prior_entropy: 0.9973, recall: 0.9692, relative_absolute_error: 0.0618, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.3515, scimark_benchmark: 1136.932, usercpu_time_millis: 1260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9769, kappa: 0.9538, kb_relative_information_score: 122.3985, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.978, predictive_accuracy: 0.9769, prior_entropy: 0.9973, recall: 0.9769, relative_absolute_error: 0.0627, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.151, root_relative_squared_error: 0.3026, scimark_benchmark: 923.4901, usercpu_time_millis: 850, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9846, kappa: 0.9692, kb_relative_information_score: 112.0275, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9851, predictive_accuracy: 0.9846, prior_entropy: 0.9973, recall: 0.9846, relative_absolute_error: 0.1686, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.1326, root_relative_squared_error: 0.2657, scimark_benchmark: 989.5507, usercpu_time_millis: 1890, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9923, kappa: 0.9846, kb_relative_information_score: 127.9787, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9924, predictive_accuracy: 0.9923, prior_entropy: 0.9973, recall: 0.9923, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.1757, scimark_benchmark: 1176.3672, usercpu_time_millis: 3530, usercpu_time_millis_testing: 890, usercpu_time_millis_training: 2640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 129.9894, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9973, recall: 1, root_mean_prior_squared_error: 0.4991, scimark_benchmark: 1114.6073, usercpu_time_millis: 1040, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9923, kappa: 0.9846, kb_relative_information_score: 127.9787, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9924, predictive_accuracy: 0.9923, prior_entropy: 0.9973, recall: 0.9923, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.1757, scimark_benchmark: 1273.832, usercpu_time_millis: 1380, usercpu_time_millis_testing: 730, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 129.9894, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9973, recall: 1, root_mean_prior_squared_error: 0.4991, scimark_benchmark: 1285.1591, usercpu_time_millis: 750, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9923, kappa: 0.9846, kb_relative_information_score: 127.9787, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9924, predictive_accuracy: 0.9923, prior_entropy: 0.9973, recall: 0.9923, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.1757, scimark_benchmark: 1379.0465, usercpu_time_millis: 1990, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9846, kappa: 0.9691, kb_relative_information_score: 125.9682, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9846, predictive_accuracy: 0.9846, prior_entropy: 0.9973, recall: 0.9846, relative_absolute_error: 0.0309, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.124, root_relative_squared_error: 0.2485, scimark_benchmark: 1018.1149, usercpu_time_millis: 9750, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 9730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9923, kappa: 0.9845, kb_relative_information_score: 126.4163, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9924, predictive_accuracy: 0.9923, prior_entropy: 0.9973, recall: 0.9923, relative_absolute_error: 0.0321, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1751, scimark_benchmark: 1109.3221, usercpu_time_millis: 2250, usercpu_time_millis_testing: 1450, usercpu_time_millis_training: 800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.9693, kappa: 0.9383, kb_relative_information_score: 121.9468, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9697, predictive_accuracy: 0.9692, prior_entropy: 0.9973, recall: 0.9692, relative_absolute_error: 0.0618, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.3515, scimark_benchmark: 1481.2631, usercpu_time_millis: 680, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9769, kappa: 0.9536, kb_relative_information_score: 123.9574, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.977, predictive_accuracy: 0.9769, prior_entropy: 0.9973, recall: 0.9769, relative_absolute_error: 0.0463, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.3044, scimark_benchmark: 766.3911, usercpu_time_millis: 2220, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9769, kappa: 0.9538, kb_relative_information_score: 121.7785, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.978, predictive_accuracy: 0.9769, prior_entropy: 0.9973, recall: 0.9769, relative_absolute_error: 0.0692, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.3033, scimark_benchmark: 661.0246, usercpu_time_millis: 900, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9846, kappa: 0.9692, kb_relative_information_score: 112.4469, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9851, predictive_accuracy: 0.9846, prior_entropy: 0.9973, recall: 0.9846, relative_absolute_error: 0.1648, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.1323, root_relative_squared_error: 0.2651, scimark_benchmark: 609.7574, usercpu_time_millis: 1710, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9923, kappa: 0.9846, kb_relative_information_score: 127.9787, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9924, predictive_accuracy: 0.9923, prior_entropy: 0.9973, recall: 0.9923, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.1757, scimark_benchmark: 822.8494, usercpu_time_millis: 4420, usercpu_time_millis_testing: 1130, usercpu_time_millis_training: 3290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9923, kappa: 0.9845, kb_relative_information_score: 127.9787, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9924, predictive_accuracy: 0.9923, prior_entropy: 0.9973, recall: 0.9923, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.1757, scimark_benchmark: 922.4977, usercpu_time_millis: 1130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9923, kappa: 0.9846, kb_relative_information_score: 127.9787, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9924, predictive_accuracy: 0.9923, prior_entropy: 0.9973, recall: 0.9923, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.1757, scimark_benchmark: 1109.6466, usercpu_time_millis: 13560, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 13550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9923, kappa: 0.9845, kb_relative_information_score: 127.9787, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9924, predictive_accuracy: 0.9923, prior_entropy: 0.9973, recall: 0.9923, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.1757, scimark_benchmark: 1121.9869, usercpu_time_millis: 13560, usercpu_time_millis_training: 13560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9923, kappa: 0.9846, kb_relative_information_score: 125.894, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9924, predictive_accuracy: 0.9923, prior_entropy: 0.9973, recall: 0.9923, relative_absolute_error: 0.0376, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.0864, root_relative_squared_error: 0.1731, scimark_benchmark: 1120.0491, usercpu_time_millis: 12170, usercpu_time_millis_training: 12170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9923, kappa: 0.9846, kb_relative_information_score: 127.9787, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9924, predictive_accuracy: 0.9923, prior_entropy: 0.9973, recall: 0.9923, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.1757, scimark_benchmark: 1386.5631, usercpu_time_millis: 11570, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 11560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9923, kappa: 0.9846, kb_relative_information_score: 127.9787, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9924, predictive_accuracy: 0.9923, prior_entropy: 0.9973, recall: 0.9923, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.1757, scimark_benchmark: 1429.0624, usercpu_time_millis: 11110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 11100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9923, kappa: 0.9846, kb_relative_information_score: 127.9787, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9924, predictive_accuracy: 0.9923, prior_entropy: 0.9973, recall: 0.9923, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.1757, scimark_benchmark: 1216.2208, usercpu_time_millis: 370, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4861, f_measure: 0.3624, kappa: -0.0264, kb_relative_information_score: -1.4821, mean_absolute_error: 0.5021, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.4615, predictive_accuracy: 0.4615, prior_entropy: 0.9973, recall: 0.4615, relative_absolute_error: 1.008, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5035, root_relative_squared_error: 1.009, scimark_benchmark: 1530.6443, usercpu_time_millis: 72240, usercpu_time_millis_testing: 18010, usercpu_time_millis_training: 54230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9923, kappa: 0.9846, kb_relative_information_score: 127.1925, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9924, predictive_accuracy: 0.9923, prior_entropy: 0.9973, recall: 0.9923, relative_absolute_error: 0.0238, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1752, scimark_benchmark: 1138.5057, usercpu_time_millis: 11520, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 11490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9923, kappa: 0.9846, kb_relative_information_score: 125.1995, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9924, predictive_accuracy: 0.9923, prior_entropy: 0.9973, recall: 0.9923, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.1759, scimark_benchmark: 1463.9759, usercpu_time_millis: 1640, usercpu_time_millis_testing: 1640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9923, kappa: 0.9846, kb_relative_information_score: 126.6962, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9924, predictive_accuracy: 0.9923, prior_entropy: 0.9973, recall: 0.9923, relative_absolute_error: 0.0279, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.0932, root_relative_squared_error: 0.1867, scimark_benchmark: 1389.7857, usercpu_time_millis: 11540, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 11500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9923, kappa: 0.9846, kb_relative_information_score: 127.3408, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9924, predictive_accuracy: 0.9923, prior_entropy: 0.9973, recall: 0.9923, relative_absolute_error: 0.0219, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.179, scimark_benchmark: 1418.5573, usercpu_time_millis: 9560, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 9540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9923, kappa: 0.9846, kb_relative_information_score: 127.9787, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9924, predictive_accuracy: 0.9923, prior_entropy: 0.9973, recall: 0.9923, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.1757, scimark_benchmark: 1069.2445, usercpu_time_millis: 11060, usercpu_time_millis_training: 11060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.9616, kappa: 0.923, kb_relative_information_score: 116.9566, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9626, predictive_accuracy: 0.9615, prior_entropy: 0.9973, recall: 0.9615, relative_absolute_error: 0.1085, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.3866, scimark_benchmark: 985.7033, usercpu_time_millis: 14340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 14330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9923, kappa: 0.9846, kb_relative_information_score: 127.9787, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9924, predictive_accuracy: 0.9923, prior_entropy: 0.9973, recall: 0.9923, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.1757, scimark_benchmark: 1360.2239, usercpu_time_millis: 11270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 11260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9923, kappa: 0.9846, kb_relative_information_score: 119.8772, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9924, predictive_accuracy: 0.9923, prior_entropy: 0.9973, recall: 0.9923, relative_absolute_error: 0.0936, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.2182, scimark_benchmark: 1295.9279, usercpu_time_millis: 16250, usercpu_time_millis_training: 16250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9923, kappa: 0.9846, kb_relative_information_score: 127.9787, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9924, predictive_accuracy: 0.9923, prior_entropy: 0.9973, recall: 0.9923, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.1757, scimark_benchmark: 1364.8864, usercpu_time_millis: 11340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 11330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9923, kappa: 0.9846, kb_relative_information_score: 126.4163, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9924, predictive_accuracy: 0.9923, prior_entropy: 0.9973, recall: 0.9923, relative_absolute_error: 0.0321, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1751, scimark_benchmark: 1389.3212, usercpu_time_millis: 19160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 19140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9846, kappa: 0.9691, kb_relative_information_score: 121.6704, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.985, predictive_accuracy: 0.9846, prior_entropy: 0.9973, recall: 0.9846, relative_absolute_error: 0.0695, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.2461, scimark_benchmark: 909.6926, usercpu_time_millis: 4310, usercpu_time_millis_testing: 4310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9769, kappa: 0.9535, kb_relative_information_score: 122.4558, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9779, predictive_accuracy: 0.9769, prior_entropy: 0.9973, recall: 0.9769, relative_absolute_error: 0.0619, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.1177, root_relative_squared_error: 0.2359, scimark_benchmark: 1305.2434, usercpu_time_millis: 2230, usercpu_time_millis_testing: 2230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 129.9894, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9973, recall: 1, root_mean_prior_squared_error: 0.4991, scimark_benchmark: 899.9493, usercpu_time_millis: 260, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9923, kappa: 0.9845, kb_relative_information_score: 127.9787, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9924, predictive_accuracy: 0.9923, prior_entropy: 0.9973, recall: 0.9923, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.1757, scimark_benchmark: 1369.5668, usercpu_time_millis: 11320, usercpu_time_millis_training: 11320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9846, kappa: 0.9691, kb_relative_information_score: 125.9682, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9846, predictive_accuracy: 0.9846, prior_entropy: 0.9973, recall: 0.9846, relative_absolute_error: 0.0309, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.124, root_relative_squared_error: 0.2485, scimark_benchmark: 1151.3449, usercpu_time_millis: 12010, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 11990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9923, kappa: 0.9846, kb_relative_information_score: 127.9787, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9924, predictive_accuracy: 0.9923, prior_entropy: 0.9973, recall: 0.9923, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.1757, scimark_benchmark: 1068.6543, usercpu_time_millis: 2460, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9769, kappa: 0.9537, kb_relative_information_score: 123.9574, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9771, predictive_accuracy: 0.9769, prior_entropy: 0.9973, recall: 0.9769, relative_absolute_error: 0.0463, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.3044, scimark_benchmark: 895.935, usercpu_time_millis: 1150, usercpu_time_millis_testing: 860, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9923, kappa: 0.9845, kb_relative_information_score: 127.9787, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9924, predictive_accuracy: 0.9923, prior_entropy: 0.9973, recall: 0.9923, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.1757, scimark_benchmark: 827.5963, usercpu_time_millis: 950, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9769, kappa: 0.9537, kb_relative_information_score: 123.9574, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9771, predictive_accuracy: 0.9769, prior_entropy: 0.9973, recall: 0.9769, relative_absolute_error: 0.0463, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.3044, scimark_benchmark: 939.6755, usercpu_time_millis: 2730, usercpu_time_millis_testing: 890, usercpu_time_millis_training: 1840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9693, kappa: 0.9383, kb_relative_information_score: 109.8597, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9697, predictive_accuracy: 0.9692, prior_entropy: 0.9973, recall: 0.9692, relative_absolute_error: 0.1859, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.1444, root_relative_squared_error: 0.2894, scimark_benchmark: 1046.5797, usercpu_time_millis: 1080, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9692, kappa: 0.9382, kb_relative_information_score: 117.0203, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9692, predictive_accuracy: 0.9692, prior_entropy: 0.9973, recall: 0.9692, relative_absolute_error: 0.1132, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.3469, scimark_benchmark: 987.6428, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9923, kappa: 0.9845, kb_relative_information_score: 126.4163, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9924, predictive_accuracy: 0.9923, prior_entropy: 0.9973, recall: 0.9923, relative_absolute_error: 0.0321, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.1751, scimark_benchmark: 1343.0443, usercpu_time_millis: 990, usercpu_time_millis_testing: 990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9923, kappa: 0.9845, kb_relative_information_score: 127.9787, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.4981, number_of_instances: 130, precision: 0.9924, predictive_accuracy: 0.9923, prior_entropy: 0.9973, recall: 0.9923, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.1757, scimark_benchmark: 1081.039, usercpu_time_millis: 250, usercpu_time_millis_training: 250,

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