OpenML
Supervised Classification on hill-valley

Supervised Classification on hill-valley

Task 145847 Supervised Classification hill-valley 92422 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

92422 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5373, f_measure: 0.5146, kappa: 0.0297, kb_relative_information_score: 26.1879, mean_absolute_error: 0.491, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5149, predictive_accuracy: 0.5149, prior_entropy: 1, recall: 0.5149, relative_absolute_error: 0.982, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0006, scimark_benchmark: 1369.2268, usercpu_time_millis: 6.246, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 6.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5397, f_measure: 0.5351, kappa: 0.071, kb_relative_information_score: 31.2592, mean_absolute_error: 0.4892, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5356, predictive_accuracy: 0.5355, prior_entropy: 1, recall: 0.5355, relative_absolute_error: 0.9784, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5128, root_relative_squared_error: 1.0256, scimark_benchmark: 1373.0972, usercpu_time_millis: 0.908, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 0.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5358, f_measure: 0.5162, kappa: 0.0347, kb_relative_information_score: 18.678, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5175, predictive_accuracy: 0.5173, prior_entropy: 1, recall: 0.5173, relative_absolute_error: 0.9877, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9989, scimark_benchmark: 1373.298, usercpu_time_millis: 1.593, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 1.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, f_measure: 0.4925, kappa: -0.005, kb_relative_information_score: -0.0157, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4974, predictive_accuracy: 0.4975, prior_entropy: 1, recall: 0.4975, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1372.4609, usercpu_time_millis: 2.312, usercpu_time_millis_testing: 0.349, usercpu_time_millis_training: 1.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.4799, kappa: 0.0017, kb_relative_information_score: -0.0101, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.501, predictive_accuracy: 0.5008, prior_entropy: 1, recall: 0.5008, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1372.8933, usercpu_time_millis: 1.444, usercpu_time_millis_testing: 0.204, usercpu_time_millis_training: 1.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6129, f_measure: 0.5922, kappa: 0.1848, kb_relative_information_score: 106.3856, mean_absolute_error: 0.462, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5926, predictive_accuracy: 0.5924, prior_entropy: 1, recall: 0.5924, relative_absolute_error: 0.9241, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4997, root_relative_squared_error: 0.9995, scimark_benchmark: 1192.6354, usercpu_time_millis: 913.398, usercpu_time_millis_testing: 1.994, usercpu_time_millis_training: 911.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6105, f_measure: 0.5807, kappa: 0.1617, kb_relative_information_score: 97.9452, mean_absolute_error: 0.4655, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.581, predictive_accuracy: 0.5809, prior_entropy: 1, recall: 0.5809, relative_absolute_error: 0.9309, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.997, scimark_benchmark: 1198.1894, usercpu_time_millis: 505.607, usercpu_time_millis_testing: 2.182, usercpu_time_millis_training: 503.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5837, f_measure: 0.5468, kappa: 0.0941, kb_relative_information_score: 50.817, mean_absolute_error: 0.483, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5471, predictive_accuracy: 0.547, prior_entropy: 1, recall: 0.547, relative_absolute_error: 0.9661, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9914, scimark_benchmark: 1201.9196, usercpu_time_millis: 205.385, usercpu_time_millis_testing: 0.642, usercpu_time_millis_training: 204.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6072, f_measure: 0.5765, kappa: 0.1535, kb_relative_information_score: 103.5151, mean_absolute_error: 0.463, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5769, predictive_accuracy: 0.5767, prior_entropy: 1, recall: 0.5767, relative_absolute_error: 0.9259, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5032, root_relative_squared_error: 1.0064, scimark_benchmark: 1188.1795, usercpu_time_millis: 116.676, usercpu_time_millis_testing: 0.62, usercpu_time_millis_training: 116.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5905, f_measure: 0.5569, kappa: 0.1139, kb_relative_information_score: 60.4417, mean_absolute_error: 0.4796, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5569, predictive_accuracy: 0.5569, prior_entropy: 1, recall: 0.5569, relative_absolute_error: 0.9591, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9929, scimark_benchmark: 1203.7717, usercpu_time_millis: 172.185, usercpu_time_millis_testing: 0.881, usercpu_time_millis_training: 171.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6043, f_measure: 0.5817, kappa: 0.1634, kb_relative_information_score: 88.2345, mean_absolute_error: 0.4693, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5817, predictive_accuracy: 0.5817, prior_entropy: 1, recall: 0.5817, relative_absolute_error: 0.9386, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4989, root_relative_squared_error: 0.9979, scimark_benchmark: 1197.7448, usercpu_time_millis: 292.573, usercpu_time_millis_testing: 0.904, usercpu_time_millis_training: 291.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5995, f_measure: 0.5708, kappa: 0.1419, kb_relative_information_score: 71.3029, mean_absolute_error: 0.4757, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5711, predictive_accuracy: 0.571, prior_entropy: 1, recall: 0.571, relative_absolute_error: 0.9514, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9913, scimark_benchmark: 1198.8036, usercpu_time_millis: 269.773, usercpu_time_millis_testing: 0.904, usercpu_time_millis_training: 268.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6236, f_measure: 0.5832, kappa: 0.1667, kb_relative_information_score: 127.5939, mean_absolute_error: 0.4536, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5835, predictive_accuracy: 0.5833, prior_entropy: 1, recall: 0.5833, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0022, scimark_benchmark: 1197.4344, usercpu_time_millis: 255.077, usercpu_time_millis_testing: 1.636, usercpu_time_millis_training: 253.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5369, f_measure: 0.5286, kappa: 0.0578, kb_relative_information_score: 16.3087, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5289, predictive_accuracy: 0.5289, prior_entropy: 1, recall: 0.5289, relative_absolute_error: 0.9897, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0016, scimark_benchmark: 1202.4817, usercpu_time_millis: 4.682, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 4.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5467, f_measure: 0.5248, kappa: 0.0495, kb_relative_information_score: 29.7511, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5248, predictive_accuracy: 0.5248, prior_entropy: 1, recall: 0.5248, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9985, scimark_benchmark: 1198.0358, usercpu_time_millis: 111.223, usercpu_time_millis_testing: 0.982, usercpu_time_millis_training: 110.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5658, f_measure: 0.5381, kappa: 0.0776, kb_relative_information_score: 35.8004, mean_absolute_error: 0.4881, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.539, predictive_accuracy: 0.5388, prior_entropy: 1, recall: 0.5388, relative_absolute_error: 0.9763, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9948, scimark_benchmark: 1193.6286, usercpu_time_millis: 94.495, usercpu_time_millis_testing: 0.712, usercpu_time_millis_training: 93.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5589, f_measure: 0.5292, kappa: 0.0644, kb_relative_information_score: 25.499, mean_absolute_error: 0.4918, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.533, predictive_accuracy: 0.5322, prior_entropy: 1, recall: 0.5322, relative_absolute_error: 0.9837, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9946, scimark_benchmark: 1200.5193, usercpu_time_millis: 12.305, usercpu_time_millis_testing: 0.187, usercpu_time_millis_training: 12.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5262, f_measure: 0.5123, kappa: 0.0314, kb_relative_information_score: 17.1218, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5161, predictive_accuracy: 0.5157, prior_entropy: 1, recall: 0.5157, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002, scimark_benchmark: 1197.2866, usercpu_time_millis: 19.208, usercpu_time_millis_testing: 0.368, usercpu_time_millis_training: 18.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5415, f_measure: 0.5201, kappa: 0.0429, kb_relative_information_score: 24.1165, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5217, predictive_accuracy: 0.5215, prior_entropy: 1, recall: 0.5215, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001, scimark_benchmark: 1198.318, usercpu_time_millis: 7.213, usercpu_time_millis_testing: 0.313, usercpu_time_millis_training: 6.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4975, kappa: -0.005, kb_relative_information_score: -0.0187, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4975, predictive_accuracy: 0.4975, prior_entropy: 1, recall: 0.4975, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1196.6074, usercpu_time_millis: 1.997, usercpu_time_millis_testing: 0.345, usercpu_time_millis_training: 1.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.5, kb_relative_information_score: -0.0149, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1197.7228, usercpu_time_millis: 1.846, usercpu_time_millis_testing: 0.322, usercpu_time_millis_training: 1.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5938, f_measure: 0.5693, kappa: 0.1386, kb_relative_information_score: 69.0833, mean_absolute_error: 0.4764, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5693, predictive_accuracy: 0.5693, prior_entropy: 1, recall: 0.5693, relative_absolute_error: 0.9528, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9956, scimark_benchmark: 1371.088, usercpu_time_millis: 211.15, usercpu_time_millis_testing: 0.6, usercpu_time_millis_training: 210.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5971, f_measure: 0.5717, kappa: 0.1436, kb_relative_information_score: 66.1264, mean_absolute_error: 0.4777, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5718, predictive_accuracy: 0.5718, prior_entropy: 1, recall: 0.5718, relative_absolute_error: 0.9555, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9916, scimark_benchmark: 1461.9483, usercpu_time_millis: 125.47, usercpu_time_millis_testing: 0.6, usercpu_time_millis_training: 124.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5555, f_measure: 0.527, kappa: 0.0578, kb_relative_information_score: 27.2597, mean_absolute_error: 0.4911, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5294, predictive_accuracy: 0.5289, prior_entropy: 1, recall: 0.5289, relative_absolute_error: 0.9822, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9951, scimark_benchmark: 1352.3433, usercpu_time_millis: 157.83, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 157.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.57, f_measure: 0.542, kappa: 0.0842, kb_relative_information_score: 46.2117, mean_absolute_error: 0.4843, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5421, predictive_accuracy: 0.5421, prior_entropy: 1, recall: 0.5421, relative_absolute_error: 0.9685, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.997, scimark_benchmark: 1405.4515, usercpu_time_millis: 25.82, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 25.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5821, f_measure: 0.5402, kappa: 0.0809, kb_relative_information_score: 52.068, mean_absolute_error: 0.4824, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5405, predictive_accuracy: 0.5404, prior_entropy: 1, recall: 0.5404, relative_absolute_error: 0.9648, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.9929, scimark_benchmark: 1386.8592, usercpu_time_millis: 270.61, usercpu_time_millis_testing: 1.12, usercpu_time_millis_training: 269.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6104, f_measure: 0.5798, kappa: 0.1601, kb_relative_information_score: 89.781, mean_absolute_error: 0.4689, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5802, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.9378, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4959, root_relative_squared_error: 0.9918, scimark_benchmark: 1354.782, usercpu_time_millis: 90.92, usercpu_time_millis_testing: 0.58, usercpu_time_millis_training: 90.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5936, f_measure: 0.5561, kappa: 0.1122, kb_relative_information_score: 67.3263, mean_absolute_error: 0.477, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5561, predictive_accuracy: 0.5561, prior_entropy: 1, recall: 0.5561, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9933, scimark_benchmark: 1387.3706, usercpu_time_millis: 114.85, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 114.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5998, f_measure: 0.5658, kappa: 0.132, kb_relative_information_score: 68.8382, mean_absolute_error: 0.4766, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5661, predictive_accuracy: 0.566, prior_entropy: 1, recall: 0.566, relative_absolute_error: 0.9533, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.495, root_relative_squared_error: 0.9899, scimark_benchmark: 1362.769, usercpu_time_millis: 222.84, usercpu_time_millis_testing: 0.88, usercpu_time_millis_training: 221.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5443, f_measure: 0.5188, kappa: 0.0413, kb_relative_information_score: 18.1891, mean_absolute_error: 0.4942, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5209, predictive_accuracy: 0.5206, prior_entropy: 1, recall: 0.5206, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9965, scimark_benchmark: 1384.0056, usercpu_time_millis: 73.91, usercpu_time_millis_testing: 0.56, usercpu_time_millis_training: 73.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5598, f_measure: 0.5353, kappa: 0.071, kb_relative_information_score: 37.5042, mean_absolute_error: 0.4873, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5355, predictive_accuracy: 0.5355, prior_entropy: 1, recall: 0.5355, relative_absolute_error: 0.9746, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.999, scimark_benchmark: 1395.9977, usercpu_time_millis: 16.36, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 16.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5557, f_measure: 0.533, kappa: 0.066, kb_relative_information_score: 49.1414, mean_absolute_error: 0.4831, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.533, predictive_accuracy: 0.533, prior_entropy: 1, recall: 0.533, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5185, root_relative_squared_error: 1.037, scimark_benchmark: 1363.7282, usercpu_time_millis: 0.45, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5227, f_measure: 0.5183, kappa: 0.0396, kb_relative_information_score: 8.1075, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5201, predictive_accuracy: 0.5198, prior_entropy: 1, recall: 0.5198, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4997, root_relative_squared_error: 0.9993, scimark_benchmark: 1406.5876, usercpu_time_millis: 8.94, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 8.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5874, f_measure: 0.5673, kappa: 0.1353, kb_relative_information_score: 47.8838, mean_absolute_error: 0.4844, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5679, predictive_accuracy: 0.5677, prior_entropy: 1, recall: 0.5677, relative_absolute_error: 0.9687, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.991, scimark_benchmark: 1378.9809, usercpu_time_millis: 316.75, usercpu_time_millis_testing: 0.8, usercpu_time_millis_training: 315.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5203, f_measure: 0.5247, kappa: 0.0495, kb_relative_information_score: 4.1124, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5248, predictive_accuracy: 0.5248, prior_entropy: 1, recall: 0.5248, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0006, scimark_benchmark: 1401.0101, usercpu_time_millis: 3.34, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 3.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.582, f_measure: 0.5578, kappa: 0.1155, kb_relative_information_score: 84.8019, mean_absolute_error: 0.4697, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5578, predictive_accuracy: 0.5578, prior_entropy: 1, recall: 0.5578, relative_absolute_error: 0.9393, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5159, root_relative_squared_error: 1.0318, scimark_benchmark: 1356.6277, usercpu_time_millis: 668.64, usercpu_time_millis_testing: 1.33, usercpu_time_millis_training: 667.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5995, f_measure: 0.5733, kappa: 0.1469, kb_relative_information_score: 70.0209, mean_absolute_error: 0.4763, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5736, predictive_accuracy: 0.5734, prior_entropy: 1, recall: 0.5734, relative_absolute_error: 0.9526, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4956, root_relative_squared_error: 0.9911, scimark_benchmark: 1359.5292, usercpu_time_millis: 98.85, usercpu_time_millis_testing: 0.88, usercpu_time_millis_training: 97.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6022, f_measure: 0.5775, kappa: 0.1551, kb_relative_information_score: 86.4102, mean_absolute_error: 0.47, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5776, predictive_accuracy: 0.5776, prior_entropy: 1, recall: 0.5776, relative_absolute_error: 0.94, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 0.9999, scimark_benchmark: 1384.7484, usercpu_time_millis: 59.96, usercpu_time_millis_testing: 1.87, usercpu_time_millis_training: 58.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6084, f_measure: 0.5816, kappa: 0.1634, kb_relative_information_score: 78.8894, mean_absolute_error: 0.4731, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5817, predictive_accuracy: 0.5817, prior_entropy: 1, recall: 0.5817, relative_absolute_error: 0.9463, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4941, root_relative_squared_error: 0.9882, scimark_benchmark: 1367.6776, usercpu_time_millis: 145.16, usercpu_time_millis_testing: 0.66, usercpu_time_millis_training: 144.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6118, f_measure: 0.5824, kappa: 0.165, kb_relative_information_score: 93.7609, mean_absolute_error: 0.4674, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5826, predictive_accuracy: 0.5825, prior_entropy: 1, recall: 0.5825, relative_absolute_error: 0.9348, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9937, scimark_benchmark: 1375.7389, usercpu_time_millis: 59.79, usercpu_time_millis_testing: 0.45, usercpu_time_millis_training: 59.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6179, f_measure: 0.592, kappa: 0.1848, kb_relative_information_score: 112.7702, mean_absolute_error: 0.4596, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5928, predictive_accuracy: 0.5924, prior_entropy: 1, recall: 0.5924, relative_absolute_error: 0.9192, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.499, root_relative_squared_error: 0.998, scimark_benchmark: 1372.1339, usercpu_time_millis: 248.29, usercpu_time_millis_testing: 0.61, usercpu_time_millis_training: 247.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5582, f_measure: 0.5402, kappa: 0.0825, kb_relative_information_score: 19.4473, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5416, predictive_accuracy: 0.5413, prior_entropy: 1, recall: 0.5413, relative_absolute_error: 0.988, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9961, scimark_benchmark: 1399.0961, usercpu_time_millis: 215.99, usercpu_time_millis_testing: 0.68, usercpu_time_millis_training: 215.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5251, f_measure: 0.527, kappa: 0.0545, kb_relative_information_score: 7.5641, mean_absolute_error: 0.4977, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5273, predictive_accuracy: 0.5272, prior_entropy: 1, recall: 0.5272, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4999, root_relative_squared_error: 0.9998, scimark_benchmark: 1372.0899, usercpu_time_millis: 12.22, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 11.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4775, kappa: -0.0033, kb_relative_information_score: -0.0128, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.498, predictive_accuracy: 0.4984, prior_entropy: 1, recall: 0.4984, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1385.533, usercpu_time_millis: 1.08, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 0.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5903, f_measure: 0.5643, kappa: 0.1287, kb_relative_information_score: 59.2034, mean_absolute_error: 0.4801, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5644, predictive_accuracy: 0.5644, prior_entropy: 1, recall: 0.5644, relative_absolute_error: 0.9601, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.993, scimark_benchmark: 1369.0087, usercpu_time_millis: 57.79, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 57.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6149, f_measure: 0.5911, kappa: 0.1832, kb_relative_information_score: 108.3259, mean_absolute_error: 0.4614, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.592, predictive_accuracy: 0.5916, prior_entropy: 1, recall: 0.5916, relative_absolute_error: 0.9227, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9987, scimark_benchmark: 1375.9601, usercpu_time_millis: 458.16, usercpu_time_millis_testing: 1.26, usercpu_time_millis_training: 456.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5748, f_measure: 0.5441, kappa: 0.0891, kb_relative_information_score: 43.7131, mean_absolute_error: 0.4854, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5447, predictive_accuracy: 0.5446, prior_entropy: 1, recall: 0.5446, relative_absolute_error: 0.9709, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9936, scimark_benchmark: 1387.3354, usercpu_time_millis: 104.5, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 104.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.4967, kappa: -0.0066, kb_relative_information_score: -0.021, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4967, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1365.6656, usercpu_time_millis: 0.93, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 0.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5523, f_measure: 0.5316, kappa: 0.066, kb_relative_information_score: 27.5463, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5334, predictive_accuracy: 0.533, prior_entropy: 1, recall: 0.533, relative_absolute_error: 0.9818, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9962, scimark_benchmark: 1384.9841, usercpu_time_millis: 15.83, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 15.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5986, f_measure: 0.5766, kappa: 0.1535, kb_relative_information_score: 104.2488, mean_absolute_error: 0.4618, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5768, predictive_accuracy: 0.5767, prior_entropy: 1, recall: 0.5767, relative_absolute_error: 0.9236, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5112, root_relative_squared_error: 1.0224, scimark_benchmark: 1369.5079, usercpu_time_millis: 75.67, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 75.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.624, f_measure: 0.5873, kappa: 0.1749, kb_relative_information_score: 113.7924, mean_absolute_error: 0.4596, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5876, predictive_accuracy: 0.5875, prior_entropy: 1, recall: 0.5875, relative_absolute_error: 0.9192, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4953, root_relative_squared_error: 0.9905, scimark_benchmark: 1351.3322, usercpu_time_millis: 63.31, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 62.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.4504, kb_relative_information_score: -0.0036, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1395.2322, usercpu_time_millis: 0.45, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, f_measure: 0.5767, kappa: 0.1535, kb_relative_information_score: 92.8215, mean_absolute_error: 0.4672, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5768, predictive_accuracy: 0.5767, prior_entropy: 1, recall: 0.5767, relative_absolute_error: 0.9343, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.506, root_relative_squared_error: 1.0119, scimark_benchmark: 1387.8921, usercpu_time_millis: 8.97, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 8.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5538, f_measure: 0.5225, kappa: 0.0462, kb_relative_information_score: 32.1147, mean_absolute_error: 0.4892, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5232, predictive_accuracy: 0.5231, prior_entropy: 1, recall: 0.5231, relative_absolute_error: 0.9784, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4995, root_relative_squared_error: 0.9991, scimark_benchmark: 1376.1201, usercpu_time_millis: 36.01, usercpu_time_millis_testing: 0.89, usercpu_time_millis_training: 35.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5204, f_measure: 0.5282, kappa: 0.0578, kb_relative_information_score: 5.5844, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.529, predictive_accuracy: 0.5289, prior_entropy: 1, recall: 0.5289, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0003, scimark_benchmark: 1379.967, usercpu_time_millis: 42.77, usercpu_time_millis_testing: 0.47, usercpu_time_millis_training: 42.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5608, f_measure: 0.5269, kappa: 0.0545, kb_relative_information_score: 36.5983, mean_absolute_error: 0.4877, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5273, predictive_accuracy: 0.5272, prior_entropy: 1, recall: 0.5272, relative_absolute_error: 0.9754, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9967, scimark_benchmark: 1374.4251, usercpu_time_millis: 105.39, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 104.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.605, f_measure: 0.5831, kappa: 0.1667, kb_relative_information_score: 83.1701, mean_absolute_error: 0.4714, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5835, predictive_accuracy: 0.5833, prior_entropy: 1, recall: 0.5833, relative_absolute_error: 0.9428, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9951, scimark_benchmark: 1364.7773, usercpu_time_millis: 2.11, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 2.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6085, f_measure: 0.579, kappa: 0.1584, kb_relative_information_score: 77.4312, mean_absolute_error: 0.4737, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5794, predictive_accuracy: 0.5792, prior_entropy: 1, recall: 0.5792, relative_absolute_error: 0.9474, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4941, root_relative_squared_error: 0.9882, scimark_benchmark: 1361.4836, usercpu_time_millis: 197.21, usercpu_time_millis_testing: 0.84, usercpu_time_millis_training: 196.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6027, f_measure: 0.5792, kappa: 0.1584, kb_relative_information_score: 77.8171, mean_absolute_error: 0.4734, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5792, predictive_accuracy: 0.5792, prior_entropy: 1, recall: 0.5792, relative_absolute_error: 0.9468, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9937, scimark_benchmark: 1381.7695, usercpu_time_millis: 50.09, usercpu_time_millis_testing: 1.55, usercpu_time_millis_training: 48.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5787, f_measure: 0.5403, kappa: 0.0809, kb_relative_information_score: 48.2384, mean_absolute_error: 0.4838, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5405, predictive_accuracy: 0.5404, prior_entropy: 1, recall: 0.5404, relative_absolute_error: 0.9675, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9942, scimark_benchmark: 1363.1179, usercpu_time_millis: 117.72, usercpu_time_millis_testing: 1.18, usercpu_time_millis_training: 116.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5864, f_measure: 0.5577, kappa: 0.1155, kb_relative_information_score: 57.0004, mean_absolute_error: 0.4808, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5578, predictive_accuracy: 0.5578, prior_entropy: 1, recall: 0.5578, relative_absolute_error: 0.9616, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9933, scimark_benchmark: 1380.6597, usercpu_time_millis: 256.18, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 255.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5944, f_measure: 0.5701, kappa: 0.1403, kb_relative_information_score: 103.3948, mean_absolute_error: 0.462, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5702, predictive_accuracy: 0.5701, prior_entropy: 1, recall: 0.5701, relative_absolute_error: 0.9241, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5146, root_relative_squared_error: 1.0293, scimark_benchmark: 1359.9837, usercpu_time_millis: 667.96, usercpu_time_millis_testing: 1, usercpu_time_millis_training: 666.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.4941, kappa: -0.0017, kb_relative_information_score: -0.002, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4991, predictive_accuracy: 0.4992, prior_entropy: 1, recall: 0.4992, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1358.8845, usercpu_time_millis: 1.97, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 1.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6139, f_measure: 0.5847, kappa: 0.17, kb_relative_information_score: 90.6914, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5852, predictive_accuracy: 0.585, prior_entropy: 1, recall: 0.585, relative_absolute_error: 0.9375, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4948, root_relative_squared_error: 0.9896, scimark_benchmark: 1364.6163, usercpu_time_millis: 102.62, usercpu_time_millis_testing: 0.49, usercpu_time_millis_training: 102.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5288, f_measure: 0.5123, kappa: 0.0297, kb_relative_information_score: 17.1119, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5152, predictive_accuracy: 0.5149, prior_entropy: 1, recall: 0.5149, relative_absolute_error: 0.9887, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.499, root_relative_squared_error: 0.998, scimark_benchmark: 1372.0722, usercpu_time_millis: 120.41, usercpu_time_millis_testing: 0.68, usercpu_time_millis_training: 119.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5642, f_measure: 0.5276, kappa: 0.0561, kb_relative_information_score: 39.0226, mean_absolute_error: 0.4868, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5282, predictive_accuracy: 0.5281, prior_entropy: 1, recall: 0.5281, relative_absolute_error: 0.9735, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9958, scimark_benchmark: 1381.1109, usercpu_time_millis: 112.35, usercpu_time_millis_testing: 0.64, usercpu_time_millis_training: 111.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5959, f_measure: 0.5691, kappa: 0.1386, kb_relative_information_score: 67.8991, mean_absolute_error: 0.4769, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5694, predictive_accuracy: 0.5693, prior_entropy: 1, recall: 0.5693, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4962, root_relative_squared_error: 0.9925, scimark_benchmark: 1407.3292, usercpu_time_millis: 216.5, usercpu_time_millis_testing: 1.02, usercpu_time_millis_training: 215.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, f_measure: 0.4974, kappa: -0.005, kb_relative_information_score: 18.5104, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4975, predictive_accuracy: 0.4975, prior_entropy: 1, recall: 0.4975, relative_absolute_error: 0.9873, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5039, root_relative_squared_error: 1.0079, scimark_benchmark: 1393.5216, usercpu_time_millis: 8.68, usercpu_time_millis_testing: 0.92, usercpu_time_millis_training: 7.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5974, f_measure: 0.5775, kappa: 0.1551, kb_relative_information_score: 87.9912, mean_absolute_error: 0.4689, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5776, predictive_accuracy: 0.5776, prior_entropy: 1, recall: 0.5776, relative_absolute_error: 0.9378, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5035, root_relative_squared_error: 1.0069, scimark_benchmark: 1365.4831, usercpu_time_millis: 88.19, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 88.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.549, f_measure: 0.5234, kappa: 0.0512, kb_relative_information_score: 25.6994, mean_absolute_error: 0.4915, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.526, predictive_accuracy: 0.5256, prior_entropy: 1, recall: 0.5256, relative_absolute_error: 0.9831, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9962, scimark_benchmark: 1376.2238, usercpu_time_millis: 84.88, usercpu_time_millis_testing: 0.59, usercpu_time_millis_training: 84.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, f_measure: 0.4941, kappa: -0.0017, kb_relative_information_score: -0.0085, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4991, predictive_accuracy: 0.4992, prior_entropy: 1, recall: 0.4992, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1399.5658, usercpu_time_millis: 2.06, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 1.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5441, f_measure: 0.5309, kappa: 0.066, kb_relative_information_score: 22.6956, mean_absolute_error: 0.4926, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5336, predictive_accuracy: 0.533, prior_entropy: 1, recall: 0.533, relative_absolute_error: 0.9851, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9968, scimark_benchmark: 1384.3795, usercpu_time_millis: 49.7, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 49.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4915, kappa: -0.0066, kb_relative_information_score: -0.017, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4966, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1363.7756, usercpu_time_millis: 0.96, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 0.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.596, f_measure: 0.5693, kappa: 0.1386, kb_relative_information_score: 64.1478, mean_absolute_error: 0.4785, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5693, predictive_accuracy: 0.5693, prior_entropy: 1, recall: 0.5693, relative_absolute_error: 0.9569, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4962, root_relative_squared_error: 0.9924, scimark_benchmark: 1381.316, usercpu_time_millis: 34.1, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 33.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6226, f_measure: 0.5856, kappa: 0.1716, kb_relative_information_score: 110.5265, mean_absolute_error: 0.4608, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.586, predictive_accuracy: 0.5858, prior_entropy: 1, recall: 0.5858, relative_absolute_error: 0.9217, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4948, root_relative_squared_error: 0.9896, scimark_benchmark: 1392.3026, usercpu_time_millis: 109.84, usercpu_time_millis_testing: 0.33, usercpu_time_millis_training: 109.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6119, f_measure: 0.5798, kappa: 0.1601, kb_relative_information_score: 83.7972, mean_absolute_error: 0.4714, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5802, predictive_accuracy: 0.58, prior_entropy: 1, recall: 0.58, relative_absolute_error: 0.9429, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4941, root_relative_squared_error: 0.9883, scimark_benchmark: 1355.1198, usercpu_time_millis: 159.86, usercpu_time_millis_testing: 0.81, usercpu_time_millis_training: 159.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5277, f_measure: 0.5206, kappa: 0.0446, kb_relative_information_score: 10.5867, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5226, predictive_accuracy: 0.5223, prior_entropy: 1, recall: 0.5223, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4993, root_relative_squared_error: 0.9987, scimark_benchmark: 1371.3663, usercpu_time_millis: 70.08, usercpu_time_millis_testing: 0.55, usercpu_time_millis_training: 69.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6115, f_measure: 0.5946, kappa: 0.1898, kb_relative_information_score: 91.7846, mean_absolute_error: 0.4683, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5952, predictive_accuracy: 0.5949, prior_entropy: 1, recall: 0.5949, relative_absolute_error: 0.9367, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9936, scimark_benchmark: 1391.7541, usercpu_time_millis: 35.25, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 35.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5857, f_measure: 0.5685, kappa: 0.137, kb_relative_information_score: 57.2158, mean_absolute_error: 0.4808, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5685, predictive_accuracy: 0.5685, prior_entropy: 1, recall: 0.5685, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9965, scimark_benchmark: 1408.5939, usercpu_time_millis: 36.18, usercpu_time_millis_testing: 0.61, usercpu_time_millis_training: 35.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.4925, kappa: -0.005, kb_relative_information_score: -0.0087, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4974, predictive_accuracy: 0.4975, prior_entropy: 1, recall: 0.4975, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1392.7469, usercpu_time_millis: 1.8, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 1.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.4975, kappa: -0.005, kb_relative_information_score: -0.0142, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4975, predictive_accuracy: 0.4975, prior_entropy: 1, recall: 0.4975, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1363.1475, usercpu_time_millis: 0.32, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5216, f_measure: 0.5207, kappa: 0.0479, kb_relative_information_score: 9.6216, mean_absolute_error: 0.497, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5246, predictive_accuracy: 0.5239, prior_entropy: 1, recall: 0.5239, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4998, root_relative_squared_error: 0.9995, scimark_benchmark: 1381.8691, usercpu_time_millis: 8.97, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 8.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5504, f_measure: 0.5215, kappa: 0.0429, kb_relative_information_score: 32.1442, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5215, predictive_accuracy: 0.5215, prior_entropy: 1, recall: 0.5215, relative_absolute_error: 0.9781, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4991, root_relative_squared_error: 0.9983, scimark_benchmark: 1363.1421, usercpu_time_millis: 45.31, usercpu_time_millis_testing: 0.85, usercpu_time_millis_training: 44.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5836, f_measure: 0.5615, kappa: 0.1238, kb_relative_information_score: 40.4279, mean_absolute_error: 0.4869, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5621, predictive_accuracy: 0.5619, prior_entropy: 1, recall: 0.5619, relative_absolute_error: 0.9739, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9903, scimark_benchmark: 1375.3273, usercpu_time_millis: 213.16, usercpu_time_millis_testing: 0.62, usercpu_time_millis_training: 212.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5724, f_measure: 0.5486, kappa: 0.0974, kb_relative_information_score: 46.7949, mean_absolute_error: 0.4842, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5487, predictive_accuracy: 0.5487, prior_entropy: 1, recall: 0.5487, relative_absolute_error: 0.9685, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4998, root_relative_squared_error: 0.9996, scimark_benchmark: 1359.9588, usercpu_time_millis: 4.92, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 4.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5607, f_measure: 0.5345, kappa: 0.0693, kb_relative_information_score: 37.2959, mean_absolute_error: 0.4875, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5347, predictive_accuracy: 0.5347, prior_entropy: 1, recall: 0.5347, relative_absolute_error: 0.9749, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002, scimark_benchmark: 1368.2633, usercpu_time_millis: 12.94, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 12.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5542, f_measure: 0.5264, kappa: 0.0528, kb_relative_information_score: 33.0901, mean_absolute_error: 0.4889, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5264, predictive_accuracy: 0.5264, prior_entropy: 1, recall: 0.5264, relative_absolute_error: 0.9777, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0011, scimark_benchmark: 1374.2676, usercpu_time_millis: 12.41, usercpu_time_millis_testing: 0.73, usercpu_time_millis_training: 11.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, f_measure: 0.4984, kappa: -0.0033, kb_relative_information_score: -0.0166, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4984, predictive_accuracy: 0.4984, prior_entropy: 1, recall: 0.4984, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1380.3604, usercpu_time_millis: 1.25, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 1.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4975, kappa: -0.005, kb_relative_information_score: -0.0214, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4975, predictive_accuracy: 0.4975, prior_entropy: 1, recall: 0.4975, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1333.5197, usercpu_time_millis: 1.64, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 1.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5318, f_measure: 0.5167, kappa: 0.038, kb_relative_information_score: 11.6205, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5193, predictive_accuracy: 0.519, prior_entropy: 1, recall: 0.519, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.499, root_relative_squared_error: 0.9981, scimark_benchmark: 1397.9136, usercpu_time_millis: 8.01, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 7.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5619, f_measure: 0.5393, kappa: 0.0809, kb_relative_information_score: 29.9211, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5408, predictive_accuracy: 0.5404, prior_entropy: 1, recall: 0.5404, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.497, root_relative_squared_error: 0.994, scimark_benchmark: 1373.0654, usercpu_time_millis: 167.69, usercpu_time_millis_testing: 0.63, usercpu_time_millis_training: 167.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6117, f_measure: 0.5791, kappa: 0.1584, kb_relative_information_score: 88.5672, mean_absolute_error: 0.4695, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5793, predictive_accuracy: 0.5792, prior_entropy: 1, recall: 0.5792, relative_absolute_error: 0.9391, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4951, root_relative_squared_error: 0.9903, scimark_benchmark: 1336.2878, usercpu_time_millis: 150.6, usercpu_time_millis_testing: 1.39, usercpu_time_millis_training: 149.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.4932, kappa: -0.0033, kb_relative_information_score: -0.0144, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4983, predictive_accuracy: 0.4984, prior_entropy: 1, recall: 0.4984, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1381.9154, usercpu_time_millis: 0.6, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 0.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5932, f_measure: 0.5701, kappa: 0.1403, kb_relative_information_score: 67.466, mean_absolute_error: 0.4771, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5702, predictive_accuracy: 0.5701, prior_entropy: 1, recall: 0.5701, relative_absolute_error: 0.9542, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9961, scimark_benchmark: 1387.1047, usercpu_time_millis: 92.55, usercpu_time_millis_testing: 1.58, usercpu_time_millis_training: 90.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5454, f_measure: 0.528, kappa: 0.0561, kb_relative_information_score: 26.8972, mean_absolute_error: 0.491, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5281, predictive_accuracy: 0.5281, prior_entropy: 1, recall: 0.5281, relative_absolute_error: 0.982, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0044, scimark_benchmark: 1372.1126, usercpu_time_millis: 15.55, usercpu_time_millis_testing: 1.35, usercpu_time_millis_training: 14.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5159, f_measure: 0.5195, kappa: 0.0396, kb_relative_information_score: 4.5604, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5199, predictive_accuracy: 0.5198, prior_entropy: 1, recall: 0.5198, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0006, scimark_benchmark: 1381.1502, usercpu_time_millis: 30.58, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 30.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5992, f_measure: 0.5775, kappa: 0.1551, kb_relative_information_score: 75.5341, mean_absolute_error: 0.4743, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5776, predictive_accuracy: 0.5776, prior_entropy: 1, recall: 0.5776, relative_absolute_error: 0.9485, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.9951, scimark_benchmark: 1368.0861, usercpu_time_millis: 485.65, usercpu_time_millis_testing: 1.2, usercpu_time_millis_training: 484.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.4941, kappa: -0.0017, kb_relative_information_score: -0.0169, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4991, predictive_accuracy: 0.4992, prior_entropy: 1, recall: 0.4992, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1366.3805, usercpu_time_millis: 1.15, usercpu_time_millis_testing: 0.46, usercpu_time_millis_training: 0.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5912, f_measure: 0.5635, kappa: 0.1271, kb_relative_information_score: 63.3336, mean_absolute_error: 0.4785, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5635, predictive_accuracy: 0.5635, prior_entropy: 1, recall: 0.5635, relative_absolute_error: 0.957, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9936, scimark_benchmark: 1386.4987, usercpu_time_millis: 136.24, usercpu_time_millis_testing: 0.45, usercpu_time_millis_training: 135.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6033, f_measure: 0.575, kappa: 0.1502, kb_relative_information_score: 83.4201, mean_absolute_error: 0.4711, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5751, predictive_accuracy: 0.5751, prior_entropy: 1, recall: 0.5751, relative_absolute_error: 0.9423, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4981, root_relative_squared_error: 0.9961, scimark_benchmark: 1370.2009, usercpu_time_millis: 212.42, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 211.92,

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