Task
Supervised Classification on spambase

Supervised Classification on spambase

Task 145979 Supervised Classification spambase 58350 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

58350 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: 0.9726, f_measure: 0.9418, kappa: 0.8777, kb_relative_information_score: 3702.6054, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.942, predictive_accuracy: 0.942, prior_entropy: 0.9674, recall: 0.942, relative_absolute_error: 0.2136, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.4406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.8109, kappa: 0.618, kb_relative_information_score: 2313.5632, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8323, predictive_accuracy: 0.8087, prior_entropy: 0.9674, recall: 0.8087, relative_absolute_error: 0.5096, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.7139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8349, kappa: 0.6689, kb_relative_information_score: 2477.6194, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8629, predictive_accuracy: 0.8331, prior_entropy: 0.9674, recall: 0.8331, relative_absolute_error: 0.4816, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.7096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.9229, kappa: 0.8383, kb_relative_information_score: 3580.0965, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9229, predictive_accuracy: 0.9231, prior_entropy: 0.9674, recall: 0.9231, relative_absolute_error: 0.2393, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.5419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6446, f_measure: 0.6135, kappa: 0.2203, kb_relative_information_score: 1205.5116, mean_absolute_error: 0.3541, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7206, predictive_accuracy: 0.6749, prior_entropy: 0.9674, recall: 0.6749, relative_absolute_error: 0.7416, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5015, root_relative_squared_error: 1.0263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8762, kappa: 0.7416, kb_relative_information_score: 3336.1037, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8769, predictive_accuracy: 0.8759, prior_entropy: 0.9674, recall: 0.8759, relative_absolute_error: 0.2717, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3117, root_relative_squared_error: 0.6378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9506, kappa: 0.8965, kb_relative_information_score: 4123.126, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9506, predictive_accuracy: 0.9507, prior_entropy: 0.9674, recall: 0.9507, relative_absolute_error: 0.1019, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.4289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8365, kappa: 0.6553, kb_relative_information_score: 2305.6334, mean_absolute_error: 0.2512, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8373, predictive_accuracy: 0.8381, prior_entropy: 0.9674, recall: 0.8381, relative_absolute_error: 0.5259, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3396, root_relative_squared_error: 0.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9255, kappa: 0.8428, kb_relative_information_score: 3655.5424, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9293, predictive_accuracy: 0.9265, prior_entropy: 0.9674, recall: 0.9265, relative_absolute_error: 0.2172, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2377, root_relative_squared_error: 0.4865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7965, kappa: 0.6007, kb_relative_information_score: 1720.9583, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8441, predictive_accuracy: 0.795, prior_entropy: 0.9674, recall: 0.795, relative_absolute_error: 0.667, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.9077, kappa: 0.8054, kb_relative_information_score: 3701.7674, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9092, predictive_accuracy: 0.9085, prior_entropy: 0.9674, recall: 0.9085, relative_absolute_error: 0.1926, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2841, root_relative_squared_error: 0.5814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.9066, kappa: 0.8036, kb_relative_information_score: 3337.0204, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9068, predictive_accuracy: 0.907, prior_entropy: 0.9674, recall: 0.907, relative_absolute_error: 0.289, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2639, root_relative_squared_error: 0.5401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.7907, kappa: 0.5941, kb_relative_information_score: 2632.8446, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8502, predictive_accuracy: 0.7898, prior_entropy: 0.9674, recall: 0.7898, relative_absolute_error: 0.4143, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.8548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.8771, kappa: 0.7405, kb_relative_information_score: 3383.4595, mean_absolute_error: 0.1251, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8798, predictive_accuracy: 0.8787, prior_entropy: 0.9674, recall: 0.8787, relative_absolute_error: 0.262, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.6538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9416, kappa: 0.8776, kb_relative_information_score: 3753.8613, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9417, predictive_accuracy: 0.9418, prior_entropy: 0.9674, recall: 0.9418, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.4417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9439, kappa: 0.8821, kb_relative_information_score: 3448.1229, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9443, predictive_accuracy: 0.9441, prior_entropy: 0.9674, recall: 0.9441, relative_absolute_error: 0.2839, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.4472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.4573, kb_relative_information_score: -0.0763, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8953, f_measure: 0.826, kappa: 0.6334, kb_relative_information_score: 2553.4886, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8263, predictive_accuracy: 0.8274, prior_entropy: 0.9674, recall: 0.8274, relative_absolute_error: 0.4531, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.8955, kappa: 0.7806, kb_relative_information_score: 3302.3541, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8956, predictive_accuracy: 0.8959, prior_entropy: 0.9674, recall: 0.8959, relative_absolute_error: 0.2894, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.5839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.9171, kappa: 0.8264, kb_relative_information_score: 3566.7358, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9171, predictive_accuracy: 0.9172, prior_entropy: 0.9674, recall: 0.9172, relative_absolute_error: 0.2309, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.9051, kappa: 0.7996, kb_relative_information_score: 3392.0242, mean_absolute_error: 0.1323, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9082, predictive_accuracy: 0.9063, prior_entropy: 0.9674, recall: 0.9063, relative_absolute_error: 0.2771, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2713, root_relative_squared_error: 0.5553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7435, f_measure: 0.7702, kappa: 0.5134, kb_relative_information_score: 2435.0817, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7849, predictive_accuracy: 0.7796, prior_entropy: 0.9674, recall: 0.7796, relative_absolute_error: 0.4615, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.9271, kappa: 0.8472, kb_relative_information_score: 3751.0753, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9271, predictive_accuracy: 0.9272, prior_entropy: 0.9674, recall: 0.9272, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2572, root_relative_squared_error: 0.5263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, f_measure: 0.7961, kappa: 0.6001, kb_relative_information_score: 2581.2162, mean_absolute_error: 0.2054, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8444, predictive_accuracy: 0.7946, prior_entropy: 0.9674, recall: 0.7946, relative_absolute_error: 0.4302, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4515, root_relative_squared_error: 0.9239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, f_measure: 0.6444, kappa: 0.3714, kb_relative_information_score: 1235.4243, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.7951, predictive_accuracy: 0.6568, prior_entropy: 0.9674, recall: 0.6568, relative_absolute_error: 0.7168, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5824, root_relative_squared_error: 1.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9545, kappa: 0.9045, kb_relative_information_score: 3727.8516, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9546, predictive_accuracy: 0.9546, prior_entropy: 0.9674, recall: 0.9546, relative_absolute_error: 0.2125, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.3963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.8616, kappa: 0.7071, kb_relative_information_score: 3268.075, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8676, predictive_accuracy: 0.8644, prior_entropy: 0.9674, recall: 0.8644, relative_absolute_error: 0.284, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.7537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.8045, kappa: 0.6145, kb_relative_information_score: 2620.4109, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8477, predictive_accuracy: 0.8029, prior_entropy: 0.9674, recall: 0.8029, relative_absolute_error: 0.4229, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.8851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.8632, kappa: 0.7105, kb_relative_information_score: 3285.162, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8699, predictive_accuracy: 0.8661, prior_entropy: 0.9674, recall: 0.8661, relative_absolute_error: 0.2804, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.7488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.9271, kappa: 0.8472, kb_relative_information_score: 3751.0753, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9271, predictive_accuracy: 0.9272, prior_entropy: 0.9674, recall: 0.9272, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2572, root_relative_squared_error: 0.5263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.888, kappa: 0.7639, kb_relative_information_score: 3487.7609, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8896, predictive_accuracy: 0.8892, prior_entropy: 0.9674, recall: 0.8892, relative_absolute_error: 0.2388, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3124, root_relative_squared_error: 0.6394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9473, kappa: 0.8894, kb_relative_information_score: 3722.0145, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9474, predictive_accuracy: 0.9474, prior_entropy: 0.9674, recall: 0.9474, relative_absolute_error: 0.2103, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.205, root_relative_squared_error: 0.4196, scimark_benchmark: 1722.4534, usercpu_time_millis: 256.56, usercpu_time_millis_testing: 3.965, usercpu_time_millis_training: 252.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9325, kappa: 0.858, kb_relative_information_score: 3457.2256, mean_absolute_error: 0.1307, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9331, predictive_accuracy: 0.9328, prior_entropy: 0.9674, recall: 0.9328, relative_absolute_error: 0.2736, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.4754, scimark_benchmark: 1710.6626, usercpu_time_millis: 128.277, usercpu_time_millis_testing: 2.741, usercpu_time_millis_training: 125.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9398, kappa: 0.8735, kb_relative_information_score: 3609.7387, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9401, predictive_accuracy: 0.94, prior_entropy: 0.9674, recall: 0.94, relative_absolute_error: 0.2369, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.217, root_relative_squared_error: 0.444, scimark_benchmark: 1732.8983, usercpu_time_millis: 117.295, usercpu_time_millis_testing: 1.928, usercpu_time_millis_training: 115.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9395, kappa: 0.873, kb_relative_information_score: 3580.48, mean_absolute_error: 0.1165, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9399, predictive_accuracy: 0.9398, prior_entropy: 0.9674, recall: 0.9398, relative_absolute_error: 0.2439, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.45, scimark_benchmark: 1731.9625, usercpu_time_millis: 94.473, usercpu_time_millis_testing: 2.027, usercpu_time_millis_training: 92.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9442, kappa: 0.8829, kb_relative_information_score: 3666.0068, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9443, predictive_accuracy: 0.9444, prior_entropy: 0.9674, recall: 0.9444, relative_absolute_error: 0.224, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.4299, scimark_benchmark: 1734.1487, usercpu_time_millis: 64.699, usercpu_time_millis_testing: 1.34, usercpu_time_millis_training: 63.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9316, kappa: 0.8562, kb_relative_information_score: 3409.6512, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9321, predictive_accuracy: 0.932, prior_entropy: 0.9674, recall: 0.932, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2358, root_relative_squared_error: 0.4825, scimark_benchmark: 1729.8197, usercpu_time_millis: 40.853, usercpu_time_millis_testing: 1.573, usercpu_time_millis_training: 39.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.9184, kappa: 0.8281, kb_relative_information_score: 3085.9116, mean_absolute_error: 0.1714, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9199, predictive_accuracy: 0.9191, prior_entropy: 0.9674, recall: 0.9191, relative_absolute_error: 0.3588, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2687, root_relative_squared_error: 0.5499, scimark_benchmark: 1803.7766, usercpu_time_millis: 31.618, usercpu_time_millis_testing: 0.468, usercpu_time_millis_training: 31.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.9071, kappa: 0.805, kb_relative_information_score: 2469.6591, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9072, predictive_accuracy: 0.9074, prior_entropy: 0.9674, recall: 0.9074, relative_absolute_error: 0.5158, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.6164, scimark_benchmark: 1712.7451, usercpu_time_millis: 26.257, usercpu_time_millis_testing: 1.352, usercpu_time_millis_training: 24.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.902, kappa: 0.7948, kb_relative_information_score: 2762.474, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.902, predictive_accuracy: 0.902, prior_entropy: 0.9674, recall: 0.902, relative_absolute_error: 0.4356, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.6001, scimark_benchmark: 1714.7898, usercpu_time_millis: 26.175, usercpu_time_millis_testing: 0.804, usercpu_time_millis_training: 25.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9329, kappa: 0.859, kb_relative_information_score: 3311.462, mean_absolute_error: 0.1488, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9335, predictive_accuracy: 0.9333, prior_entropy: 0.9674, recall: 0.9333, relative_absolute_error: 0.3116, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.4888, scimark_benchmark: 1733.636, usercpu_time_millis: 16.099, usercpu_time_millis_testing: 0.485, usercpu_time_millis_training: 15.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4573, kb_relative_information_score: 0.0676, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 985.4706, usercpu_time_millis: 8.376, usercpu_time_millis_testing: 1.093, usercpu_time_millis_training: 7.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9306, kappa: 0.854, kb_relative_information_score: 3465.5296, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.931, predictive_accuracy: 0.9309, prior_entropy: 0.9674, recall: 0.9309, relative_absolute_error: 0.2692, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.236, root_relative_squared_error: 0.483, scimark_benchmark: 1736.979, usercpu_time_millis: 4.839, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 4.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9135, kappa: 0.8175, kb_relative_information_score: 2148.2815, mean_absolute_error: 0.2848, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9164, predictive_accuracy: 0.9146, prior_entropy: 0.9674, recall: 0.9146, relative_absolute_error: 0.5965, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.6532, scimark_benchmark: 1850.5112, usercpu_time_millis: 7.19, usercpu_time_millis_testing: 1.169, usercpu_time_millis_training: 6.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.8719, kappa: 0.7287, kb_relative_information_score: 1631.9803, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8889, predictive_accuracy: 0.8763, prior_entropy: 0.9674, recall: 0.8763, relative_absolute_error: 0.7085, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7401, scimark_benchmark: 990.402, usercpu_time_millis: 8.186, usercpu_time_millis_testing: 1.072, usercpu_time_millis_training: 7.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.4573, kb_relative_information_score: -0.3409, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1716.2801, usercpu_time_millis: 4.168, usercpu_time_millis_testing: 0.694, usercpu_time_millis_training: 3.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9164, kappa: 0.8242, kb_relative_information_score: 2447.9574, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9167, predictive_accuracy: 0.9168, prior_entropy: 0.9674, recall: 0.9168, relative_absolute_error: 0.5235, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3, root_relative_squared_error: 0.614, scimark_benchmark: 1728.9285, usercpu_time_millis: 5.838, usercpu_time_millis_testing: 0.402, usercpu_time_millis_training: 5.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9385, kappa: 0.871, kb_relative_information_score: 3642.8186, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9386, predictive_accuracy: 0.9387, prior_entropy: 0.9674, recall: 0.9387, relative_absolute_error: 0.2219, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.4637, scimark_benchmark: 1720.4633, usercpu_time_millis: 0.777, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 0.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.942, kappa: 0.8782, kb_relative_information_score: 3591.7254, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9422, predictive_accuracy: 0.9422, prior_entropy: 0.9674, recall: 0.9422, relative_absolute_error: 0.2431, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.439, scimark_benchmark: 1759.002, usercpu_time_millis: 1.781, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 1.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4573, kb_relative_information_score: -0.2564, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1753.5995, usercpu_time_millis: 0.718, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 0.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9449, kappa: 0.8844, kb_relative_information_score: 3709.7827, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.945, predictive_accuracy: 0.945, prior_entropy: 0.9674, recall: 0.945, relative_absolute_error: 0.2123, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.4276, scimark_benchmark: 1787.5174, usercpu_time_millis: 187.114, usercpu_time_millis_testing: 2.892, usercpu_time_millis_training: 184.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9433, kappa: 0.8811, kb_relative_information_score: 3675.0822, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9434, predictive_accuracy: 0.9435, prior_entropy: 0.9674, recall: 0.9435, relative_absolute_error: 0.2211, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4325, scimark_benchmark: 1727.6743, usercpu_time_millis: 115.918, usercpu_time_millis_testing: 1.63, usercpu_time_millis_training: 114.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9464, kappa: 0.8873, kb_relative_information_score: 3512.1184, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9466, predictive_accuracy: 0.9465, prior_entropy: 0.9674, recall: 0.9465, relative_absolute_error: 0.2673, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.4345, scimark_benchmark: 1008.7025, usercpu_time_millis: 63.034, usercpu_time_millis_testing: 3.085, usercpu_time_millis_training: 59.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9413, kappa: 0.8765, kb_relative_information_score: 3493.6907, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9417, predictive_accuracy: 0.9415, prior_entropy: 0.9674, recall: 0.9415, relative_absolute_error: 0.2693, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.4484, scimark_benchmark: 1753.0705, usercpu_time_millis: 63.747, usercpu_time_millis_testing: 1.875, usercpu_time_millis_training: 61.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9455, kappa: 0.8858, kb_relative_information_score: 3717.3384, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9456, predictive_accuracy: 0.9457, prior_entropy: 0.9674, recall: 0.9457, relative_absolute_error: 0.21, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.4284, scimark_benchmark: 1737.4205, usercpu_time_millis: 96.368, usercpu_time_millis_testing: 1.174, usercpu_time_millis_training: 95.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.8927, kappa: 0.7753, kb_relative_information_score: 2705.1114, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8927, predictive_accuracy: 0.8926, prior_entropy: 0.9674, recall: 0.8926, relative_absolute_error: 0.4458, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3032, root_relative_squared_error: 0.6205, scimark_benchmark: 1743.0526, usercpu_time_millis: 35.552, usercpu_time_millis_testing: 0.662, usercpu_time_millis_training: 34.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9321, kappa: 0.8571, kb_relative_information_score: 3394.2523, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9326, predictive_accuracy: 0.9324, prior_entropy: 0.9674, recall: 0.9324, relative_absolute_error: 0.29, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2374, root_relative_squared_error: 0.4858, scimark_benchmark: 1735.7361, usercpu_time_millis: 54.636, usercpu_time_millis_testing: 1.799, usercpu_time_millis_training: 52.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9512, kappa: 0.8976, kb_relative_information_score: 3712.1203, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9513, predictive_accuracy: 0.9513, prior_entropy: 0.9674, recall: 0.9513, relative_absolute_error: 0.2161, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.4035, scimark_benchmark: 1733.3606, usercpu_time_millis: 78.81, usercpu_time_millis_testing: 3.11, usercpu_time_millis_training: 75.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9436, kappa: 0.8815, kb_relative_information_score: 3689.6947, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9437, predictive_accuracy: 0.9437, prior_entropy: 0.9674, recall: 0.9437, relative_absolute_error: 0.2167, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.4346, scimark_benchmark: 1694.6279, usercpu_time_millis: 62.048, usercpu_time_millis_testing: 0.729, usercpu_time_millis_training: 61.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9119, kappa: 0.8139, kb_relative_information_score: 2074.4141, mean_absolute_error: 0.2927, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9155, predictive_accuracy: 0.9131, prior_entropy: 0.9674, recall: 0.9131, relative_absolute_error: 0.6129, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.6653, scimark_benchmark: 1723.5226, usercpu_time_millis: 11.617, usercpu_time_millis_testing: 1.24, usercpu_time_millis_training: 10.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9468, kappa: 0.8882, kb_relative_information_score: 3463.3059, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.947, predictive_accuracy: 0.947, prior_entropy: 0.9674, recall: 0.947, relative_absolute_error: 0.2803, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.4401, scimark_benchmark: 2140.0676, usercpu_time_millis: 46.642, usercpu_time_millis_testing: 2.584, usercpu_time_millis_training: 44.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9173, kappa: 0.8259, kb_relative_information_score: 3162.0696, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9181, predictive_accuracy: 0.9178, prior_entropy: 0.9674, recall: 0.9178, relative_absolute_error: 0.3425, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.5333, scimark_benchmark: 2147.7337, usercpu_time_millis: 37.948, usercpu_time_millis_testing: 0.571, usercpu_time_millis_training: 37.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9239, kappa: 0.8398, kb_relative_information_score: 3253.6365, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9247, predictive_accuracy: 0.9244, prior_entropy: 0.9674, recall: 0.9244, relative_absolute_error: 0.3231, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2479, root_relative_squared_error: 0.5072, scimark_benchmark: 1731.6565, usercpu_time_millis: 35.872, usercpu_time_millis_testing: 0.907, usercpu_time_millis_training: 34.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9439, kappa: 0.8822, kb_relative_information_score: 3609.4874, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9442, predictive_accuracy: 0.9441, prior_entropy: 0.9674, recall: 0.9441, relative_absolute_error: 0.2384, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4368, scimark_benchmark: 1745.9674, usercpu_time_millis: 26.665, usercpu_time_millis_testing: 0.594, usercpu_time_millis_training: 26.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9426, kappa: 0.8795, kb_relative_information_score: 3579.0563, mean_absolute_error: 0.1175, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9429, predictive_accuracy: 0.9428, prior_entropy: 0.9674, recall: 0.9428, relative_absolute_error: 0.2461, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.4422, scimark_benchmark: 1012.285, usercpu_time_millis: 19.928, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 19.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9283, kappa: 0.8492, kb_relative_information_score: 3325.6362, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9289, predictive_accuracy: 0.9287, prior_entropy: 0.9674, recall: 0.9287, relative_absolute_error: 0.3061, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2431, root_relative_squared_error: 0.4975, scimark_benchmark: 1715.8036, usercpu_time_millis: 21.747, usercpu_time_millis_testing: 0.535, usercpu_time_millis_training: 21.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4573, kb_relative_information_score: -0.5635, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1788.2243, usercpu_time_millis: 4.477, usercpu_time_millis_testing: 0.881, usercpu_time_millis_training: 3.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.9082, kappa: 0.8073, kb_relative_information_score: 2470.3063, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9083, predictive_accuracy: 0.9085, prior_entropy: 0.9674, recall: 0.9085, relative_absolute_error: 0.5157, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.301, root_relative_squared_error: 0.616, scimark_benchmark: 1743.1908, usercpu_time_millis: 8.327, usercpu_time_millis_testing: 0.451, usercpu_time_millis_training: 7.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9149, kappa: 0.8202, kb_relative_information_score: 2293.3889, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.919, predictive_accuracy: 0.9161, prior_entropy: 0.9674, recall: 0.9161, relative_absolute_error: 0.564, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.307, root_relative_squared_error: 0.6282, scimark_benchmark: 1723.9607, usercpu_time_millis: 9.476, usercpu_time_millis_testing: 0.977, usercpu_time_millis_training: 8.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4573, kb_relative_information_score: 0.0691, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1736.6893, usercpu_time_millis: 5.053, usercpu_time_millis_testing: 0.861, usercpu_time_millis_training: 4.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9365, kappa: 0.8666, kb_relative_information_score: 3598.7885, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9368, predictive_accuracy: 0.9368, prior_entropy: 0.9674, recall: 0.9368, relative_absolute_error: 0.2369, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.4575, scimark_benchmark: 1763.0385, usercpu_time_millis: 279.207, usercpu_time_millis_testing: 2.808, usercpu_time_millis_training: 276.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9437, kappa: 0.8819, kb_relative_information_score: 3796.8261, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9436, predictive_accuracy: 0.9437, prior_entropy: 0.9674, recall: 0.9437, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.4331, scimark_benchmark: 1760.8661, usercpu_time_millis: 250.213, usercpu_time_millis_testing: 1.92, usercpu_time_millis_training: 248.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9217, kappa: 0.8352, kb_relative_information_score: 3294.7659, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9225, predictive_accuracy: 0.9222, prior_entropy: 0.9674, recall: 0.9222, relative_absolute_error: 0.3107, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.5128, scimark_benchmark: 1735.8956, usercpu_time_millis: 228.596, usercpu_time_millis_testing: 2.127, usercpu_time_millis_training: 226.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9415, kappa: 0.8772, kb_relative_information_score: 3626.9829, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9418, predictive_accuracy: 0.9418, prior_entropy: 0.9674, recall: 0.9418, relative_absolute_error: 0.2327, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.4407, scimark_benchmark: 1755.0568, usercpu_time_millis: 89.813, usercpu_time_millis_testing: 1.291, usercpu_time_millis_training: 88.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9449, kappa: 0.8843, kb_relative_information_score: 3697.5461, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.945, predictive_accuracy: 0.945, prior_entropy: 0.9674, recall: 0.945, relative_absolute_error: 0.2156, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.209, root_relative_squared_error: 0.4277, scimark_benchmark: 1763.5255, usercpu_time_millis: 78.649, usercpu_time_millis_testing: 1.025, usercpu_time_millis_training: 77.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.944, kappa: 0.8824, kb_relative_information_score: 3699.8605, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9441, predictive_accuracy: 0.9441, prior_entropy: 0.9674, recall: 0.9441, relative_absolute_error: 0.2146, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.4303, scimark_benchmark: 1760.5781, usercpu_time_millis: 76.457, usercpu_time_millis_testing: 0.807, usercpu_time_millis_training: 75.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9338, kappa: 0.8609, kb_relative_information_score: 3493.4559, mean_absolute_error: 0.1269, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9342, predictive_accuracy: 0.9341, prior_entropy: 0.9674, recall: 0.9341, relative_absolute_error: 0.2657, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.228, root_relative_squared_error: 0.4667, scimark_benchmark: 1717.6334, usercpu_time_millis: 75.582, usercpu_time_millis_testing: 2.517, usercpu_time_millis_training: 73.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9368, kappa: 0.8672, kb_relative_information_score: 3501.5443, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9375, predictive_accuracy: 0.9372, prior_entropy: 0.9674, recall: 0.9372, relative_absolute_error: 0.2636, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.226, root_relative_squared_error: 0.4624, scimark_benchmark: 1764.4506, usercpu_time_millis: 64.12, usercpu_time_millis_testing: 0.961, usercpu_time_millis_training: 63.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9453, kappa: 0.8852, kb_relative_information_score: 3718.6305, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9454, predictive_accuracy: 0.9454, prior_entropy: 0.9674, recall: 0.9454, relative_absolute_error: 0.2096, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.4285, scimark_benchmark: 1764.8549, usercpu_time_millis: 60.223, usercpu_time_millis_testing: 0.716, usercpu_time_millis_training: 59.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9387, kappa: 0.8712, kb_relative_information_score: 3620.2563, mean_absolute_error: 0.1117, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9389, predictive_accuracy: 0.9389, prior_entropy: 0.9674, recall: 0.9389, relative_absolute_error: 0.2338, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.4463, scimark_benchmark: 1726.6494, usercpu_time_millis: 57.111, usercpu_time_millis_testing: 0.735, usercpu_time_millis_training: 56.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9433, kappa: 0.8808, kb_relative_information_score: 3263.3135, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9436, predictive_accuracy: 0.9435, prior_entropy: 0.9674, recall: 0.9435, relative_absolute_error: 0.3316, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.4701, scimark_benchmark: 1762.2093, usercpu_time_millis: 37.553, usercpu_time_millis_testing: 2.618, usercpu_time_millis_training: 34.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9286, kappa: 0.8497, kb_relative_information_score: 3169.0397, mean_absolute_error: 0.1658, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9291, predictive_accuracy: 0.9289, prior_entropy: 0.9674, recall: 0.9289, relative_absolute_error: 0.3471, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2515, root_relative_squared_error: 0.5147, scimark_benchmark: 1738.3914, usercpu_time_millis: 35.16, usercpu_time_millis_testing: 1.796, usercpu_time_millis_training: 33.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9334, kappa: 0.8598, kb_relative_information_score: 3234.2157, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9339, predictive_accuracy: 0.9337, prior_entropy: 0.9674, recall: 0.9337, relative_absolute_error: 0.3327, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.4967, scimark_benchmark: 1766.8701, usercpu_time_millis: 28.606, usercpu_time_millis_testing: 1.403, usercpu_time_millis_training: 27.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.924, kappa: 0.8398, kb_relative_information_score: 2417.8101, mean_absolute_error: 0.2548, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9254, predictive_accuracy: 0.9246, prior_entropy: 0.9674, recall: 0.9246, relative_absolute_error: 0.5336, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.6124, scimark_benchmark: 1724.528, usercpu_time_millis: 13.216, usercpu_time_millis_testing: 1.131, usercpu_time_millis_training: 12.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.8827, kappa: 0.7525, kb_relative_information_score: 2092.7224, mean_absolute_error: 0.2856, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8851, predictive_accuracy: 0.8842, prior_entropy: 0.9674, recall: 0.8842, relative_absolute_error: 0.5981, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.6803, scimark_benchmark: 1763.2818, usercpu_time_millis: 8.232, usercpu_time_millis_testing: 0.531, usercpu_time_millis_training: 7.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8652, kappa: 0.7145, kb_relative_information_score: 1739.214, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8801, predictive_accuracy: 0.8696, prior_entropy: 0.9674, recall: 0.8696, relative_absolute_error: 0.6802, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.7307, scimark_benchmark: 1760.341, usercpu_time_millis: 5.172, usercpu_time_millis_testing: 0.489, usercpu_time_millis_training: 4.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4573, kb_relative_information_score: -0.0535, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1724.4096, usercpu_time_millis: 6.626, usercpu_time_millis_testing: 1.131, usercpu_time_millis_training: 5.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.4573, kb_relative_information_score: -0.0365, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1736.0014, usercpu_time_millis: 5.638, usercpu_time_millis_testing: 0.934, usercpu_time_millis_training: 4.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9318, kappa: 0.8564, kb_relative_information_score: 2932.5977, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9326, predictive_accuracy: 0.9322, prior_entropy: 0.9674, recall: 0.9322, relative_absolute_error: 0.411, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.259, root_relative_squared_error: 0.53, scimark_benchmark: 1764.2643, usercpu_time_millis: 3.697, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 3.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4573, kb_relative_information_score: -0.0462, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.3672, predictive_accuracy: 0.606, prior_entropy: 0.9674, recall: 0.606, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4886, root_relative_squared_error: 1, scimark_benchmark: 1757.9663, usercpu_time_millis: 1.462, usercpu_time_millis_testing: 0.197, usercpu_time_millis_training: 1.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9241, kappa: 0.8404, kb_relative_information_score: 3366.9622, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9248, predictive_accuracy: 0.9246, prior_entropy: 0.9674, recall: 0.9246, relative_absolute_error: 0.293, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.4977, scimark_benchmark: 1754.9046, usercpu_time_millis: 104.848, usercpu_time_millis_testing: 0.968, usercpu_time_millis_training: 103.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.934, kappa: 0.8612, kb_relative_information_score: 3528.4618, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9346, predictive_accuracy: 0.9344, prior_entropy: 0.9674, recall: 0.9344, relative_absolute_error: 0.2559, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.4637, scimark_benchmark: 1769.3271, usercpu_time_millis: 105.114, usercpu_time_millis_testing: 1.604, usercpu_time_millis_training: 103.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9376, kappa: 0.8688, kb_relative_information_score: 3592.1418, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9379, predictive_accuracy: 0.9378, prior_entropy: 0.9674, recall: 0.9378, relative_absolute_error: 0.2406, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.4516, scimark_benchmark: 1731.9625, usercpu_time_millis: 103.189, usercpu_time_millis_testing: 2.033, usercpu_time_millis_training: 101.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.9457, kappa: 0.8861, kb_relative_information_score: 3685.0843, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9459, predictive_accuracy: 0.9459, prior_entropy: 0.9674, recall: 0.9459, relative_absolute_error: 0.2196, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.4252, scimark_benchmark: 1773.0911, usercpu_time_millis: 96.133, usercpu_time_millis_testing: 1.621, usercpu_time_millis_training: 94.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9405, kappa: 0.8749, kb_relative_information_score: 3595.2347, mean_absolute_error: 0.1153, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9407, predictive_accuracy: 0.9407, prior_entropy: 0.9674, recall: 0.9407, relative_absolute_error: 0.2415, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.4432, scimark_benchmark: 1761.7071, usercpu_time_millis: 65.563, usercpu_time_millis_testing: 1.62, usercpu_time_millis_training: 63.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9406, kappa: 0.8752, kb_relative_information_score: 3525.8281, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.941, predictive_accuracy: 0.9409, prior_entropy: 0.9674, recall: 0.9409, relative_absolute_error: 0.2604, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.4465, scimark_benchmark: 1760.3616, usercpu_time_millis: 57.378, usercpu_time_millis_testing: 1.877, usercpu_time_millis_training: 55.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9415, kappa: 0.8772, kb_relative_information_score: 3627.7604, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9418, predictive_accuracy: 0.9418, prior_entropy: 0.9674, recall: 0.9418, relative_absolute_error: 0.2327, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.4398, scimark_benchmark: 1734.6706, usercpu_time_millis: 57.231, usercpu_time_millis_testing: 0.797, usercpu_time_millis_training: 56.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.923, kappa: 0.8378, kb_relative_information_score: 3187.9268, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9239, predictive_accuracy: 0.9235, prior_entropy: 0.9674, recall: 0.9235, relative_absolute_error: 0.3385, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2578, root_relative_squared_error: 0.5275, scimark_benchmark: 1732.9618, usercpu_time_millis: 54.533, usercpu_time_millis_testing: 1.096, usercpu_time_millis_training: 53.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9459, kappa: 0.8864, kb_relative_information_score: 3545.4167, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9462, predictive_accuracy: 0.9461, prior_entropy: 0.9674, recall: 0.9461, relative_absolute_error: 0.258, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.4326, scimark_benchmark: 1728.4686, usercpu_time_millis: 34.13, usercpu_time_millis_testing: 2.032, usercpu_time_millis_training: 32.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9347, kappa: 0.8628, kb_relative_information_score: 3342.4206, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9351, predictive_accuracy: 0.935, prior_entropy: 0.9674, recall: 0.935, relative_absolute_error: 0.306, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2344, root_relative_squared_error: 0.4796, scimark_benchmark: 1737.8652, usercpu_time_millis: 21.802, usercpu_time_millis_testing: 1.384, usercpu_time_millis_training: 20.418,

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