Task
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
1 likes downloaded by 5 people , 7 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

9363 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: 0.8612, f_measure: 0.7947, kappa: 0.5871, kb_relative_information_score: 1633.3409, mean_absolute_error: 0.2938, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7953, predictive_accuracy: 0.7945, prior_entropy: 0.9948, recall: 0.7945, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.7765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: 281.3657, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7449, f_measure: 0.749, kappa: 0.4935, kb_relative_information_score: 1859.565, mean_absolute_error: 0.2495, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7506, predictive_accuracy: 0.7505, prior_entropy: 0.9948, recall: 0.7505, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.754, kappa: 0.5039, kb_relative_information_score: 1581.9659, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.754, predictive_accuracy: 0.7545, prior_entropy: 0.9948, recall: 0.7545, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.754, kappa: 0.5039, kb_relative_information_score: 1581.9659, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.754, predictive_accuracy: 0.7545, prior_entropy: 0.9948, recall: 0.7545, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.8033, kappa: 0.6031, kb_relative_information_score: 1639.1162, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8037, predictive_accuracy: 0.8038, prior_entropy: 0.9948, recall: 0.8038, relative_absolute_error: 0.5965, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.7565, scimark_benchmark: 1728.9808, usercpu_time_millis: 5491.755, usercpu_time_millis_testing: 3.601, usercpu_time_millis_training: 5488.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.8023, kappa: 0.6011, kb_relative_information_score: 1560.3355, mean_absolute_error: 0.3075, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8026, predictive_accuracy: 0.8027, prior_entropy: 0.9948, recall: 0.8027, relative_absolute_error: 0.6195, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.7652, scimark_benchmark: 1676.797, usercpu_time_millis: 4658.587, usercpu_time_millis_testing: 5.087, usercpu_time_millis_training: 4653.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8779, f_measure: 0.8064, kappa: 0.6097, kb_relative_information_score: 1755.6495, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8065, predictive_accuracy: 0.8067, prior_entropy: 0.9948, recall: 0.8067, relative_absolute_error: 0.5611, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.7504, scimark_benchmark: 1762.3107, usercpu_time_millis: 4476.029, usercpu_time_millis_testing: 3.282, usercpu_time_millis_training: 4472.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.7907, kappa: 0.5778, kb_relative_information_score: 1490.3003, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7911, predictive_accuracy: 0.7913, prior_entropy: 0.9948, recall: 0.7913, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.7813, scimark_benchmark: 1738.7728, usercpu_time_millis: 3548.345, usercpu_time_millis_testing: 2.514, usercpu_time_millis_training: 3545.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.7948, kappa: 0.5861, kb_relative_information_score: 1600.7679, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.795, predictive_accuracy: 0.7953, prior_entropy: 0.9948, recall: 0.7953, relative_absolute_error: 0.6031, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.7749, scimark_benchmark: 1733.8031, usercpu_time_millis: 3215.983, usercpu_time_millis_testing: 1.822, usercpu_time_millis_training: 3214.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.7595, kappa: 0.5146, kb_relative_information_score: 1299.2372, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7611, predictive_accuracy: 0.7609, prior_entropy: 0.9948, recall: 0.7609, relative_absolute_error: 0.6872, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.818, scimark_benchmark: 1738.3615, usercpu_time_millis: 2792.53, usercpu_time_millis_testing: 2.243, usercpu_time_millis_training: 2790.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, f_measure: 0.8118, kappa: 0.6204, kb_relative_information_score: 1670.6212, mean_absolute_error: 0.2919, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8119, predictive_accuracy: 0.8121, prior_entropy: 0.9948, recall: 0.8121, relative_absolute_error: 0.5879, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.7503, scimark_benchmark: 1715.2427, usercpu_time_millis: 2708.677, usercpu_time_millis_testing: 2.586, usercpu_time_millis_training: 2706.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8078, kappa: 0.6126, kb_relative_information_score: 1774.4512, mean_absolute_error: 0.2756, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8078, predictive_accuracy: 0.8081, prior_entropy: 0.9948, recall: 0.8081, relative_absolute_error: 0.5551, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.749, scimark_benchmark: 1722.7118, usercpu_time_millis: 1750.854, usercpu_time_millis_testing: 2.482, usercpu_time_millis_training: 1748.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.8073, kappa: 0.6113, kb_relative_information_score: 1592.3502, mean_absolute_error: 0.3035, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8077, predictive_accuracy: 0.8078, prior_entropy: 0.9948, recall: 0.8078, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3761, root_relative_squared_error: 0.7549, scimark_benchmark: 1733.408, usercpu_time_millis: 673.577, usercpu_time_millis_testing: 2.126, usercpu_time_millis_training: 671.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8575, f_measure: 0.7898, kappa: 0.576, kb_relative_information_score: 1454.6344, mean_absolute_error: 0.3209, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7903, predictive_accuracy: 0.7905, prior_entropy: 0.9948, recall: 0.7905, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.7853, scimark_benchmark: 1756.402, usercpu_time_millis: 32.759, usercpu_time_millis_testing: 0.749, usercpu_time_millis_training: 32.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.7204, kappa: 0.4359, kb_relative_information_score: 561.5835, mean_absolute_error: 0.4371, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7205, predictive_accuracy: 0.7211, prior_entropy: 0.9948, recall: 0.7211, relative_absolute_error: 0.8804, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4505, root_relative_squared_error: 0.9043, scimark_benchmark: 1695.6472, usercpu_time_millis: 20.449, usercpu_time_millis_testing: 0.973, usercpu_time_millis_training: 19.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.1495, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1740.7323, usercpu_time_millis: 10.093, usercpu_time_millis_testing: 1.641, usercpu_time_millis_training: 8.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: 0.0851, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1740.1197, usercpu_time_millis: 9.876, usercpu_time_millis_testing: 1.514, usercpu_time_millis_training: 8.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.0351, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1758.6469, usercpu_time_millis: 9.793, usercpu_time_millis_testing: 1.383, usercpu_time_millis_training: 8.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7587, f_measure: 0.6548, kappa: 0.3121, kb_relative_information_score: 275.8621, mean_absolute_error: 0.4687, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6752, predictive_accuracy: 0.6673, prior_entropy: 0.9948, recall: 0.6673, relative_absolute_error: 0.9441, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9507, scimark_benchmark: 1763.412, usercpu_time_millis: 7.121, usercpu_time_millis_testing: 0.742, usercpu_time_millis_training: 6.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: -0.1575, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1696.0444, usercpu_time_millis: 8.235, usercpu_time_millis_testing: 1.265, usercpu_time_millis_training: 6.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.1052, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1752.3674, usercpu_time_millis: 5.777, usercpu_time_millis_testing: 0.86, usercpu_time_millis_training: 4.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, f_measure: 0.806, kappa: 0.6086, kb_relative_information_score: 1666.2348, mean_absolute_error: 0.2922, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8063, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.5886, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.7544, scimark_benchmark: 958.6721, usercpu_time_millis: 11686.353, usercpu_time_millis_testing: 4.629, usercpu_time_millis_training: 11681.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, f_measure: 0.7546, kappa: 0.5048, kb_relative_information_score: 1305.9396, mean_absolute_error: 0.3402, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.757, predictive_accuracy: 0.7563, prior_entropy: 0.9948, recall: 0.7563, relative_absolute_error: 0.6853, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.8175, scimark_benchmark: 1725.3886, usercpu_time_millis: 4767.683, usercpu_time_millis_testing: 3.019, usercpu_time_millis_training: 4764.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.7873, kappa: 0.5709, kb_relative_information_score: 1489.8329, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7876, predictive_accuracy: 0.7878, prior_entropy: 0.9948, recall: 0.7878, relative_absolute_error: 0.6363, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3904, root_relative_squared_error: 0.7835, scimark_benchmark: 1725.3475, usercpu_time_millis: 4507.247, usercpu_time_millis_testing: 2.273, usercpu_time_millis_training: 4504.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.8047, kappa: 0.6062, kb_relative_information_score: 1696.0274, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8049, predictive_accuracy: 0.8051, prior_entropy: 0.9948, recall: 0.8051, relative_absolute_error: 0.5793, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.7531, scimark_benchmark: 1725.7233, usercpu_time_millis: 4218.428, usercpu_time_millis_testing: 2.514, usercpu_time_millis_training: 4215.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.8028, kappa: 0.6023, kb_relative_information_score: 1613.4772, mean_absolute_error: 0.3001, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8031, predictive_accuracy: 0.8033, prior_entropy: 0.9948, recall: 0.8033, relative_absolute_error: 0.6045, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.757, scimark_benchmark: 1727.2353, usercpu_time_millis: 2614.74, usercpu_time_millis_testing: 2.496, usercpu_time_millis_training: 2612.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.8129, kappa: 0.6228, kb_relative_information_score: 1698.3618, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8129, predictive_accuracy: 0.8131, prior_entropy: 0.9948, recall: 0.8131, relative_absolute_error: 0.5803, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.7443, scimark_benchmark: 1992.654, usercpu_time_millis: 1938.018, usercpu_time_millis_testing: 3.796, usercpu_time_millis_training: 1934.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.7601, kappa: 0.516, kb_relative_information_score: 1298.2461, mean_absolute_error: 0.3411, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7615, predictive_accuracy: 0.7614, prior_entropy: 0.9948, recall: 0.7614, relative_absolute_error: 0.6871, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8186, scimark_benchmark: 1707.0591, usercpu_time_millis: 1827.25, usercpu_time_millis_testing: 1.938, usercpu_time_millis_training: 1825.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.7837, kappa: 0.5635, kb_relative_information_score: 1387.5837, mean_absolute_error: 0.3303, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7842, predictive_accuracy: 0.7843, prior_entropy: 0.9948, recall: 0.7843, relative_absolute_error: 0.6654, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3954, root_relative_squared_error: 0.7936, scimark_benchmark: 1731.0404, usercpu_time_millis: 1774.424, usercpu_time_millis_testing: 2.417, usercpu_time_millis_training: 1772.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8078, kappa: 0.6124, kb_relative_information_score: 1597.4708, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8082, predictive_accuracy: 0.8083, prior_entropy: 0.9948, recall: 0.8083, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.7561, scimark_benchmark: 1732.7672, usercpu_time_millis: 1765.597, usercpu_time_millis_testing: 2.974, usercpu_time_millis_training: 1762.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7611, kappa: 0.5181, kb_relative_information_score: 1240.6258, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7648, predictive_accuracy: 0.7633, prior_entropy: 0.9948, recall: 0.7633, relative_absolute_error: 0.7058, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8242, scimark_benchmark: 1726.8346, usercpu_time_millis: 1080.494, usercpu_time_millis_testing: 1.6, usercpu_time_millis_training: 1078.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8113, kappa: 0.6195, kb_relative_information_score: 1672.729, mean_absolute_error: 0.2917, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8113, predictive_accuracy: 0.8115, prior_entropy: 0.9948, recall: 0.8115, relative_absolute_error: 0.5877, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7489, scimark_benchmark: 1728.4686, usercpu_time_millis: 621.87, usercpu_time_millis_testing: 1.554, usercpu_time_millis_training: 620.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.8009, kappa: 0.5984, kb_relative_information_score: 1411.7432, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8012, predictive_accuracy: 0.8014, prior_entropy: 0.9948, recall: 0.8014, relative_absolute_error: 0.6618, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.7781, scimark_benchmark: 1804.2095, usercpu_time_millis: 562.504, usercpu_time_millis_testing: 3.19, usercpu_time_millis_training: 559.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7635, kappa: 0.5228, kb_relative_information_score: 1209.686, mean_absolute_error: 0.3549, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7651, predictive_accuracy: 0.7649, prior_entropy: 0.9948, recall: 0.7649, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.8202, scimark_benchmark: 957.4161, usercpu_time_millis: 548.457, usercpu_time_millis_testing: 2.438, usercpu_time_millis_training: 546.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8457, f_measure: 0.7827, kappa: 0.5615, kb_relative_information_score: 1365.4952, mean_absolute_error: 0.333, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.783, predictive_accuracy: 0.7833, prior_entropy: 0.9948, recall: 0.7833, relative_absolute_error: 0.6708, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8007, scimark_benchmark: 1795.7401, usercpu_time_millis: 551.823, usercpu_time_millis_testing: 1.478, usercpu_time_millis_training: 550.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.8039, kappa: 0.6045, kb_relative_information_score: 1554.5003, mean_absolute_error: 0.3084, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8041, predictive_accuracy: 0.8043, prior_entropy: 0.9948, recall: 0.8043, relative_absolute_error: 0.6212, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.7653, scimark_benchmark: 1728.8162, usercpu_time_millis: 382.509, usercpu_time_millis_testing: 1.188, usercpu_time_millis_training: 381.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7948, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 893.7661, mean_absolute_error: 0.3975, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8007, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.8734, scimark_benchmark: 1729.9179, usercpu_time_millis: 206.294, usercpu_time_millis_testing: 1.223, usercpu_time_millis_training: 205.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, f_measure: 0.7371, kappa: 0.4711, kb_relative_information_score: 827.9732, mean_absolute_error: 0.4058, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7376, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8704, scimark_benchmark: 1716.8362, usercpu_time_millis: 108.438, usercpu_time_millis_testing: 1.339, usercpu_time_millis_training: 107.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 0.0078, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1721.3666, usercpu_time_millis: 7.851, usercpu_time_millis_testing: 1.104, usercpu_time_millis_training: 6.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.0011, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1696.4969, usercpu_time_millis: 6.119, usercpu_time_millis_testing: 0.857, usercpu_time_millis_training: 5.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.5301, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1705.8083, usercpu_time_millis: 4.922, usercpu_time_millis_testing: 0.729, usercpu_time_millis_training: 4.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.7958, kappa: 0.5881, kb_relative_information_score: 1542.6904, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7961, predictive_accuracy: 0.7963, prior_entropy: 0.9948, recall: 0.7963, relative_absolute_error: 0.6225, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.7731, scimark_benchmark: 1720.845, usercpu_time_millis: 8561.009, usercpu_time_millis_testing: 3.658, usercpu_time_millis_training: 8557.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.8044, kappa: 0.6056, kb_relative_information_score: 1690.466, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8047, predictive_accuracy: 0.8049, prior_entropy: 0.9948, recall: 0.8049, relative_absolute_error: 0.5802, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7554, scimark_benchmark: 2137.389, usercpu_time_millis: 5206.513, usercpu_time_millis_testing: 2.185, usercpu_time_millis_training: 5204.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.7921, kappa: 0.5806, kb_relative_information_score: 1488.9708, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7924, predictive_accuracy: 0.7926, prior_entropy: 0.9948, recall: 0.7926, relative_absolute_error: 0.6378, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.7814, scimark_benchmark: 1715.1285, usercpu_time_millis: 5116.019, usercpu_time_millis_testing: 3.447, usercpu_time_millis_training: 5112.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.8013, kappa: 0.5993, kb_relative_information_score: 1530.8174, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8014, predictive_accuracy: 0.8017, prior_entropy: 0.9948, recall: 0.8017, relative_absolute_error: 0.6272, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7685, scimark_benchmark: 1719.4837, usercpu_time_millis: 4188.237, usercpu_time_millis_testing: 4.192, usercpu_time_millis_training: 4184.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, f_measure: 0.7632, kappa: 0.5221, kb_relative_information_score: 1343.7125, mean_absolute_error: 0.3351, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7657, predictive_accuracy: 0.7649, prior_entropy: 0.9948, recall: 0.7649, relative_absolute_error: 0.675, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.403, root_relative_squared_error: 0.809, scimark_benchmark: 1677.0839, usercpu_time_millis: 3783.771, usercpu_time_millis_testing: 2.825, usercpu_time_millis_training: 3780.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.8057, kappa: 0.608, kb_relative_information_score: 1629.9892, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8061, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.5994, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.7565, scimark_benchmark: 1708.1226, usercpu_time_millis: 3609.797, usercpu_time_millis_testing: 3.038, usercpu_time_millis_training: 3606.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.7589, kappa: 0.5134, kb_relative_information_score: 1225.8883, mean_absolute_error: 0.3524, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7601, predictive_accuracy: 0.7601, prior_entropy: 0.9948, recall: 0.7601, relative_absolute_error: 0.7099, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8246, scimark_benchmark: 1776.9997, usercpu_time_millis: 3113.815, usercpu_time_millis_testing: 4.989, usercpu_time_millis_training: 3108.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.7995, kappa: 0.5955, kb_relative_information_score: 1485.3875, mean_absolute_error: 0.3182, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.641, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.772, scimark_benchmark: 1698.8249, usercpu_time_millis: 1399.053, usercpu_time_millis_testing: 4.062, usercpu_time_millis_training: 1394.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.8029, kappa: 0.6024, kb_relative_information_score: 1496.7456, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8031, predictive_accuracy: 0.8033, prior_entropy: 0.9948, recall: 0.8033, relative_absolute_error: 0.6378, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7698, scimark_benchmark: 1723.0479, usercpu_time_millis: 1394.994, usercpu_time_millis_testing: 2.943, usercpu_time_millis_training: 1392.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.802, kappa: 0.6006, kb_relative_information_score: 1579.7636, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8023, predictive_accuracy: 0.8025, prior_entropy: 0.9948, recall: 0.8025, relative_absolute_error: 0.6132, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.381, root_relative_squared_error: 0.7648, scimark_benchmark: 2143.6984, usercpu_time_millis: 823.186, usercpu_time_millis_testing: 1.075, usercpu_time_millis_training: 822.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8678, f_measure: 0.7957, kappa: 0.5879, kb_relative_information_score: 1419.8634, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7962, predictive_accuracy: 0.7963, prior_entropy: 0.9948, recall: 0.7963, relative_absolute_error: 0.6596, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.387, root_relative_squared_error: 0.7767, scimark_benchmark: 1088.7402, usercpu_time_millis: 407.634, usercpu_time_millis_testing: 2.922, usercpu_time_millis_training: 404.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.8034, kappa: 0.6035, kb_relative_information_score: 1612.9258, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8036, predictive_accuracy: 0.8038, prior_entropy: 0.9948, recall: 0.8038, relative_absolute_error: 0.6046, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.7575, scimark_benchmark: 1735.1968, usercpu_time_millis: 390.487, usercpu_time_millis_testing: 1.32, usercpu_time_millis_training: 389.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 968.821, mean_absolute_error: 0.3876, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7807, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.8802, scimark_benchmark: 1729.3178, usercpu_time_millis: 295.989, usercpu_time_millis_testing: 1.45, usercpu_time_millis_training: 294.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.7669, kappa: 0.5297, kb_relative_information_score: 1079.0429, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7676, predictive_accuracy: 0.7678, prior_entropy: 0.9948, recall: 0.7678, relative_absolute_error: 0.7509, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8275, scimark_benchmark: 1725.4694, usercpu_time_millis: 210.699, usercpu_time_millis_testing: 1.672, usercpu_time_millis_training: 209.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.1674, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1761.2202, usercpu_time_millis: 9.766, usercpu_time_millis_testing: 1.386, usercpu_time_millis_training: 8.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7694, f_measure: 0.6407, kappa: 0.299, kb_relative_information_score: 239.936, mean_absolute_error: 0.4727, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6907, predictive_accuracy: 0.6649, prior_entropy: 0.9948, recall: 0.6649, relative_absolute_error: 0.9522, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4766, root_relative_squared_error: 0.9566, scimark_benchmark: 1713.4936, usercpu_time_millis: 5.599, usercpu_time_millis_testing: 0.782, usercpu_time_millis_training: 4.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.8042, kappa: 0.6052, kb_relative_information_score: 1715.3175, mean_absolute_error: 0.2846, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8044, predictive_accuracy: 0.8046, prior_entropy: 0.9948, recall: 0.8046, relative_absolute_error: 0.5734, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.375, root_relative_squared_error: 0.7526, scimark_benchmark: 1738.3274, usercpu_time_millis: 6753.693, usercpu_time_millis_testing: 3.863, usercpu_time_millis_training: 6749.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.864, f_measure: 0.7945, kappa: 0.5856, kb_relative_information_score: 1573.7876, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7948, predictive_accuracy: 0.795, prior_entropy: 0.9948, recall: 0.795, relative_absolute_error: 0.6122, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.7734, scimark_benchmark: 1731.9625, usercpu_time_millis: 6752.485, usercpu_time_millis_testing: 2.683, usercpu_time_millis_training: 6749.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.7967, kappa: 0.59, kb_relative_information_score: 1518.9515, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7969, predictive_accuracy: 0.7971, prior_entropy: 0.9948, recall: 0.7971, relative_absolute_error: 0.6303, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7725, scimark_benchmark: 1002.5859, usercpu_time_millis: 5907.905, usercpu_time_millis_testing: 5.585, usercpu_time_millis_training: 5902.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.8034, kappa: 0.6034, kb_relative_information_score: 1615.46, mean_absolute_error: 0.2994, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8036, predictive_accuracy: 0.8038, prior_entropy: 0.9948, recall: 0.8038, relative_absolute_error: 0.6031, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7592, scimark_benchmark: 1728.8162, usercpu_time_millis: 4309.105, usercpu_time_millis_testing: 5.063, usercpu_time_millis_training: 4304.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8631, f_measure: 0.7942, kappa: 0.5848, kb_relative_information_score: 1505.7559, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7946, predictive_accuracy: 0.7947, prior_entropy: 0.9948, recall: 0.7947, relative_absolute_error: 0.6341, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.7755, scimark_benchmark: 1719.0565, usercpu_time_millis: 4092.324, usercpu_time_millis_testing: 4.037, usercpu_time_millis_training: 4088.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.8108, kappa: 0.6184, kb_relative_information_score: 1666.0869, mean_absolute_error: 0.2924, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8111, predictive_accuracy: 0.8113, prior_entropy: 0.9948, recall: 0.8113, relative_absolute_error: 0.589, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7525, scimark_benchmark: 1731.5618, usercpu_time_millis: 3393.534, usercpu_time_millis_testing: 3.147, usercpu_time_millis_training: 3390.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, f_measure: 0.8028, kappa: 0.6022, kb_relative_information_score: 1597.126, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8031, predictive_accuracy: 0.8033, prior_entropy: 0.9948, recall: 0.8033, relative_absolute_error: 0.609, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.7599, scimark_benchmark: 1731.227, usercpu_time_millis: 2831.689, usercpu_time_millis_testing: 3.015, usercpu_time_millis_training: 2828.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8779, f_measure: 0.8096, kappa: 0.6159, kb_relative_information_score: 1523.668, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8097, predictive_accuracy: 0.8099, prior_entropy: 0.9948, recall: 0.8099, relative_absolute_error: 0.6315, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.76, scimark_benchmark: 1011.97, usercpu_time_millis: 1542.821, usercpu_time_millis_testing: 4.598, usercpu_time_millis_training: 1538.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.7919, kappa: 0.5802, kb_relative_information_score: 1415.28, mean_absolute_error: 0.327, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7921, predictive_accuracy: 0.7923, prior_entropy: 0.9948, recall: 0.7923, relative_absolute_error: 0.6588, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.392, root_relative_squared_error: 0.7869, scimark_benchmark: 1731.9625, usercpu_time_millis: 914.29, usercpu_time_millis_testing: 2.387, usercpu_time_millis_training: 911.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8083, kappa: 0.6133, kb_relative_information_score: 1557.8315, mean_absolute_error: 0.3084, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8084, predictive_accuracy: 0.8086, prior_entropy: 0.9948, recall: 0.8086, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.7572, scimark_benchmark: 1723.9873, usercpu_time_millis: 574.308, usercpu_time_millis_testing: 2.496, usercpu_time_millis_training: 571.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7888, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 740.0213, mean_absolute_error: 0.4166, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8392, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4412, root_relative_squared_error: 0.8856, scimark_benchmark: 1735.1328, usercpu_time_millis: 210.714, usercpu_time_millis_testing: 1.689, usercpu_time_millis_training: 209.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.736, kappa: 0.4688, kb_relative_information_score: 633.6374, mean_absolute_error: 0.4292, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7364, predictive_accuracy: 0.7358, prior_entropy: 0.9948, recall: 0.7358, relative_absolute_error: 0.8645, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4466, root_relative_squared_error: 0.8964, scimark_benchmark: 1001.7995, usercpu_time_millis: 188.099, usercpu_time_millis_testing: 2.187, usercpu_time_millis_training: 185.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.7701, kappa: 0.5361, kb_relative_information_score: 1058.2319, mean_absolute_error: 0.3755, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7704, predictive_accuracy: 0.7707, prior_entropy: 0.9948, recall: 0.7707, relative_absolute_error: 0.7563, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.413, root_relative_squared_error: 0.8289, scimark_benchmark: 1733.7613, usercpu_time_millis: 148.72, usercpu_time_millis_testing: 1.674, usercpu_time_millis_training: 147.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.7886, kappa: 0.5736, kb_relative_information_score: 1472.0861, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7889, predictive_accuracy: 0.7891, prior_entropy: 0.9948, recall: 0.7891, relative_absolute_error: 0.6419, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7805, scimark_benchmark: 1737.9267, usercpu_time_millis: 142.959, usercpu_time_millis_testing: 0.918, usercpu_time_millis_training: 142.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.8102, kappa: 0.6174, kb_relative_information_score: 1558.2261, mean_absolute_error: 0.3085, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8102, predictive_accuracy: 0.8105, prior_entropy: 0.9948, recall: 0.8105, relative_absolute_error: 0.6215, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7545, scimark_benchmark: 1725.6937, usercpu_time_millis: 133.127, usercpu_time_millis_testing: 1.54, usercpu_time_millis_training: 131.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.7317, kappa: 0.4587, kb_relative_information_score: 690.9664, mean_absolute_error: 0.4214, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7318, predictive_accuracy: 0.7323, prior_entropy: 0.9948, recall: 0.7323, relative_absolute_error: 0.8489, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4396, root_relative_squared_error: 0.8823, scimark_benchmark: 1728.6214, usercpu_time_millis: 62.386, usercpu_time_millis_testing: 2.616, usercpu_time_millis_training: 59.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.7374, kappa: 0.4719, kb_relative_information_score: 855.5561, mean_absolute_error: 0.4023, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7381, predictive_accuracy: 0.7371, prior_entropy: 0.9948, recall: 0.7371, relative_absolute_error: 0.8105, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4337, root_relative_squared_error: 0.8706, scimark_benchmark: 1731.9625, usercpu_time_millis: 61.985, usercpu_time_millis_testing: 0.859, usercpu_time_millis_training: 61.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7998, kappa: 0.5965, kb_relative_information_score: 1714.4094, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7998, predictive_accuracy: 0.8001, prior_entropy: 0.9948, recall: 0.8001, relative_absolute_error: 0.5705, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.765, scimark_benchmark: 1727.044, usercpu_time_millis: 9588.847, usercpu_time_millis_testing: 3.32, usercpu_time_millis_training: 9585.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, f_measure: 0.8023, kappa: 0.6014, kb_relative_information_score: 1682.3699, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8025, predictive_accuracy: 0.8027, prior_entropy: 0.9948, recall: 0.8027, relative_absolute_error: 0.5829, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.7551, scimark_benchmark: 1765.5082, usercpu_time_millis: 8589.974, usercpu_time_millis_testing: 3.295, usercpu_time_millis_training: 8586.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.8031, kappa: 0.6028, kb_relative_information_score: 1572.1481, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8034, predictive_accuracy: 0.8035, prior_entropy: 0.9948, recall: 0.8035, relative_absolute_error: 0.6156, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.7641, scimark_benchmark: 1737.3387, usercpu_time_millis: 5485.946, usercpu_time_millis_testing: 4.119, usercpu_time_millis_training: 5481.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.8082, kappa: 0.6131, kb_relative_information_score: 1676.0804, mean_absolute_error: 0.2908, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8084, predictive_accuracy: 0.8086, prior_entropy: 0.9948, recall: 0.8086, relative_absolute_error: 0.5859, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7525, scimark_benchmark: 1767.7092, usercpu_time_millis: 5096.115, usercpu_time_millis_testing: 3.095, usercpu_time_millis_training: 5093.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8414, f_measure: 0.7743, kappa: 0.5446, kb_relative_information_score: 1372.7706, mean_absolute_error: 0.3315, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7748, predictive_accuracy: 0.775, prior_entropy: 0.9948, recall: 0.775, relative_absolute_error: 0.6678, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4008, root_relative_squared_error: 0.8046, scimark_benchmark: 1762.8874, usercpu_time_millis: 4001.941, usercpu_time_millis_testing: 3.177, usercpu_time_millis_training: 3998.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.7998, kappa: 0.5962, kb_relative_information_score: 1549.1674, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8002, predictive_accuracy: 0.8003, prior_entropy: 0.9948, recall: 0.8003, relative_absolute_error: 0.6221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.769, scimark_benchmark: 1768.2397, usercpu_time_millis: 3694.313, usercpu_time_millis_testing: 3.015, usercpu_time_millis_training: 3691.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.7542, kappa: 0.504, kb_relative_information_score: 1300.2223, mean_absolute_error: 0.341, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7562, predictive_accuracy: 0.7558, prior_entropy: 0.9948, recall: 0.7558, relative_absolute_error: 0.6868, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.8197, scimark_benchmark: 1760.1363, usercpu_time_millis: 3044.211, usercpu_time_millis_testing: 2.224, usercpu_time_millis_training: 3041.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7816, kappa: 0.5594, kb_relative_information_score: 1400.7626, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7824, predictive_accuracy: 0.7825, prior_entropy: 0.9948, recall: 0.7825, relative_absolute_error: 0.6609, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.797, scimark_benchmark: 1769.4006, usercpu_time_millis: 1827.716, usercpu_time_millis_testing: 2.05, usercpu_time_millis_training: 1825.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8495, f_measure: 0.78, kappa: 0.5561, kb_relative_information_score: 1418.4224, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7808, predictive_accuracy: 0.7809, prior_entropy: 0.9948, recall: 0.7809, relative_absolute_error: 0.656, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.7944, scimark_benchmark: 1768.2066, usercpu_time_millis: 783.946, usercpu_time_millis_testing: 1.213, usercpu_time_millis_training: 782.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.781, kappa: 0.5581, kb_relative_information_score: 1443.5193, mean_absolute_error: 0.3216, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7815, predictive_accuracy: 0.7817, prior_entropy: 0.9948, recall: 0.7817, relative_absolute_error: 0.6477, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.7944, scimark_benchmark: 1773.1775, usercpu_time_millis: 583.827, usercpu_time_millis_testing: 0.97, usercpu_time_millis_training: 582.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.786, kappa: 0.5683, kb_relative_information_score: 1350.1013, mean_absolute_error: 0.3361, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7862, predictive_accuracy: 0.7865, prior_entropy: 0.9948, recall: 0.7865, relative_absolute_error: 0.677, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.7937, scimark_benchmark: 1721.287, usercpu_time_millis: 557.623, usercpu_time_millis_testing: 2.206, usercpu_time_millis_training: 555.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.7526, kappa: 0.5008, kb_relative_information_score: 1096.7358, mean_absolute_error: 0.3708, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7535, predictive_accuracy: 0.7537, prior_entropy: 0.9948, recall: 0.7537, relative_absolute_error: 0.7469, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8367, scimark_benchmark: 1736.8692, usercpu_time_millis: 444.241, usercpu_time_millis_testing: 1.847, usercpu_time_millis_training: 442.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.8025, kappa: 0.6016, kb_relative_information_score: 1493.7065, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8029, predictive_accuracy: 0.803, prior_entropy: 0.9948, recall: 0.803, relative_absolute_error: 0.6385, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7705, scimark_benchmark: 1770.8911, usercpu_time_millis: 413.653, usercpu_time_millis_testing: 1.576, usercpu_time_millis_training: 412.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8071, kappa: 0.611, kb_relative_information_score: 1644.6253, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8074, predictive_accuracy: 0.8075, prior_entropy: 0.9948, recall: 0.8075, relative_absolute_error: 0.5955, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.7521, scimark_benchmark: 1765.7669, usercpu_time_millis: 366.242, usercpu_time_millis_testing: 1.254, usercpu_time_millis_training: 364.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.7533, kappa: 0.5022, kb_relative_information_score: 1116.9228, mean_absolute_error: 0.3681, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7555, predictive_accuracy: 0.755, prior_entropy: 0.9948, recall: 0.755, relative_absolute_error: 0.7414, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4193, root_relative_squared_error: 0.8417, scimark_benchmark: 1729.3908, usercpu_time_millis: 249.63, usercpu_time_millis_testing: 0.915, usercpu_time_millis_training: 248.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, f_measure: 0.7367, kappa: 0.4707, kb_relative_information_score: 740.1608, mean_absolute_error: 0.4165, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7377, predictive_accuracy: 0.7363, prior_entropy: 0.9948, recall: 0.7363, relative_absolute_error: 0.839, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.8863, scimark_benchmark: 1719.118, usercpu_time_millis: 126.457, usercpu_time_millis_testing: 1.084, usercpu_time_millis_training: 125.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8174, f_measure: 0.7523, kappa: 0.5002, kb_relative_information_score: 917.8379, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7532, predictive_accuracy: 0.7534, prior_entropy: 0.9948, recall: 0.7534, relative_absolute_error: 0.7941, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.8528, scimark_benchmark: 1771.2377, usercpu_time_millis: 138.45, usercpu_time_millis_testing: 1.84, usercpu_time_millis_training: 136.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.7372, kappa: 0.4718, kb_relative_information_score: 785.1367, mean_absolute_error: 0.4112, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7382, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8284, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.878, scimark_benchmark: 1771.4946, usercpu_time_millis: 32.855, usercpu_time_millis_testing: 0.889, usercpu_time_millis_training: 31.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.7409, kappa: 0.4772, kb_relative_information_score: 514.0063, mean_absolute_error: 0.443, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7412, predictive_accuracy: 0.7417, prior_entropy: 0.9948, recall: 0.7417, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4541, root_relative_squared_error: 0.9114, scimark_benchmark: 1733.6989, usercpu_time_millis: 16.749, usercpu_time_millis_testing: 0.77, usercpu_time_millis_training: 15.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7826, f_measure: 0.7089, kappa: 0.4128, kb_relative_information_score: 427.0318, mean_absolute_error: 0.4523, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7118, predictive_accuracy: 0.7115, prior_entropy: 0.9948, recall: 0.7115, relative_absolute_error: 0.9111, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9253, scimark_benchmark: 1775.5599, usercpu_time_millis: 9.546, usercpu_time_millis_testing: 0.812, usercpu_time_millis_training: 8.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.8071, kappa: 0.611, kb_relative_information_score: 1692.5127, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8073, predictive_accuracy: 0.8075, prior_entropy: 0.9948, recall: 0.8075, relative_absolute_error: 0.5804, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7528, scimark_benchmark: 1730.591, usercpu_time_millis: 4905.865, usercpu_time_millis_testing: 2.382, usercpu_time_millis_training: 4903.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8021, kappa: 0.601, kb_relative_information_score: 1748.3668, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8022, predictive_accuracy: 0.8025, prior_entropy: 0.9948, recall: 0.8025, relative_absolute_error: 0.5628, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.7521, scimark_benchmark: 1853.3841, usercpu_time_millis: 4799.109, usercpu_time_millis_testing: 2.898, usercpu_time_millis_training: 4796.211,

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