OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
1 likes downloaded by 6 people , 8 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: 0.8764, f_measure: 0.8079, kappa: 0.6125, kb_relative_information_score: 1672.1639, mean_absolute_error: 0.2913, 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: 0.5868, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.7538, scimark_benchmark: 789.5687, usercpu_time_millis: 12646.292, usercpu_time_millis_testing: 7.211, usercpu_time_millis_training: 12639.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8015, kappa: 0.5996, kb_relative_information_score: 1576.3118, mean_absolute_error: 0.3049, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8017, predictive_accuracy: 0.8019, prior_entropy: 0.9948, recall: 0.8019, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.7641, scimark_benchmark: 1857.1082, usercpu_time_millis: 6771.568, usercpu_time_millis_testing: 4.337, usercpu_time_millis_training: 6767.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.853, f_measure: 0.7828, kappa: 0.5617, kb_relative_information_score: 1474.3645, mean_absolute_error: 0.3177, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7834, predictive_accuracy: 0.7835, prior_entropy: 0.9948, recall: 0.7835, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.7887, scimark_benchmark: 789.5687, usercpu_time_millis: 5128.578, usercpu_time_millis_testing: 3.798, usercpu_time_millis_training: 5124.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, f_measure: 0.807, kappa: 0.6108, kb_relative_information_score: 1685.1315, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.807, predictive_accuracy: 0.8073, prior_entropy: 0.9948, recall: 0.8073, relative_absolute_error: 0.5829, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.752, scimark_benchmark: 1857.0384, usercpu_time_millis: 3828.305, usercpu_time_millis_testing: 3.226, usercpu_time_millis_training: 3825.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.7905, kappa: 0.5773, kb_relative_information_score: 1493.7927, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7908, predictive_accuracy: 0.791, prior_entropy: 0.9948, recall: 0.791, relative_absolute_error: 0.6366, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.389, root_relative_squared_error: 0.7808, scimark_benchmark: 1855.4813, usercpu_time_millis: 3558.917, usercpu_time_millis_testing: 3.232, usercpu_time_millis_training: 3555.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.7575, kappa: 0.5105, kb_relative_information_score: 1315.5245, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7588, predictive_accuracy: 0.7587, prior_entropy: 0.9948, recall: 0.7587, relative_absolute_error: 0.6817, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.407, root_relative_squared_error: 0.817, scimark_benchmark: 1858.0974, usercpu_time_millis: 3272.844, usercpu_time_millis_testing: 2.785, usercpu_time_millis_training: 3270.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.803, kappa: 0.6027, kb_relative_information_score: 1720.9839, mean_absolute_error: 0.2833, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.803, predictive_accuracy: 0.8033, prior_entropy: 0.9948, recall: 0.8033, relative_absolute_error: 0.5706, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.7551, scimark_benchmark: 1864.9656, usercpu_time_millis: 3198.907, usercpu_time_millis_testing: 1.613, usercpu_time_millis_training: 3197.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.8105, kappa: 0.6178, kb_relative_information_score: 1583.7307, mean_absolute_error: 0.3049, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8109, predictive_accuracy: 0.811, prior_entropy: 0.9948, recall: 0.811, relative_absolute_error: 0.6141, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7554, scimark_benchmark: 1850.8185, usercpu_time_millis: 2519.842, usercpu_time_millis_testing: 4.973, usercpu_time_millis_training: 2514.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.8104, kappa: 0.6176, kb_relative_information_score: 1581.1052, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8105, predictive_accuracy: 0.8107, prior_entropy: 0.9948, recall: 0.8107, relative_absolute_error: 0.6147, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.7559, scimark_benchmark: 1849.3014, usercpu_time_millis: 2503.931, usercpu_time_millis_testing: 4.848, usercpu_time_millis_training: 2499.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.804, kappa: 0.6048, kb_relative_information_score: 1754.6522, mean_absolute_error: 0.2782, 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: 0.5604, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7553, scimark_benchmark: 1853.3841, usercpu_time_millis: 2360.831, usercpu_time_millis_testing: 1.839, usercpu_time_millis_training: 2358.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8534, f_measure: 0.7833, kappa: 0.5627, kb_relative_information_score: 1329.529, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.784, predictive_accuracy: 0.7841, prior_entropy: 0.9948, recall: 0.7841, relative_absolute_error: 0.6827, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.7956, scimark_benchmark: 789.6492, usercpu_time_millis: 2280.658, usercpu_time_millis_testing: 5.679, usercpu_time_millis_training: 2274.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, f_measure: 0.7473, kappa: 0.4909, kb_relative_information_score: 1237.8187, mean_absolute_error: 0.3503, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7541, predictive_accuracy: 0.7507, prior_entropy: 0.9948, recall: 0.7507, relative_absolute_error: 0.7056, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.834, scimark_benchmark: 1854.4951, usercpu_time_millis: 1648.916, usercpu_time_millis_testing: 1.609, usercpu_time_millis_training: 1647.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.806, kappa: 0.6086, kb_relative_information_score: 1536.134, mean_absolute_error: 0.3115, 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: 0.6275, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3794, root_relative_squared_error: 0.7615, scimark_benchmark: 1855.0232, usercpu_time_millis: 1606.836, usercpu_time_millis_testing: 4.613, usercpu_time_millis_training: 1602.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.804, kappa: 0.6049, kb_relative_information_score: 1765.2471, mean_absolute_error: 0.2765, 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: 0.5571, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.7536, scimark_benchmark: 789.6492, usercpu_time_millis: 1457.701, usercpu_time_millis_testing: 2.097, usercpu_time_millis_training: 1455.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, f_measure: 0.7833, kappa: 0.5629, kb_relative_information_score: 1407.6228, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7835, predictive_accuracy: 0.7838, prior_entropy: 0.9948, recall: 0.7838, relative_absolute_error: 0.6598, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3964, root_relative_squared_error: 0.7957, scimark_benchmark: 790.3471, usercpu_time_millis: 1385.363, usercpu_time_millis_testing: 3.288, usercpu_time_millis_training: 1382.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, f_measure: 0.7889, kappa: 0.5742, kb_relative_information_score: 1381.4482, mean_absolute_error: 0.3314, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7892, predictive_accuracy: 0.7894, prior_entropy: 0.9948, recall: 0.7894, relative_absolute_error: 0.6677, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.7922, scimark_benchmark: 1853.9121, usercpu_time_millis: 934.512, usercpu_time_millis_testing: 2.068, usercpu_time_millis_training: 932.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.7491, kappa: 0.494, kb_relative_information_score: 1286.2067, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.753, predictive_accuracy: 0.7515, prior_entropy: 0.9948, recall: 0.7515, relative_absolute_error: 0.6914, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8228, scimark_benchmark: 1853.9121, usercpu_time_millis: 798.378, usercpu_time_millis_testing: 1.124, usercpu_time_millis_training: 797.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.7794, kappa: 0.5548, kb_relative_information_score: 1294.4897, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7804, predictive_accuracy: 0.7803, prior_entropy: 0.9948, recall: 0.7803, relative_absolute_error: 0.6915, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.8046, scimark_benchmark: 1857.0384, usercpu_time_millis: 690.18, usercpu_time_millis_testing: 1.453, usercpu_time_millis_training: 688.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.7589, kappa: 0.5134, kb_relative_information_score: 1138.9131, mean_absolute_error: 0.3648, 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: 0.7349, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.8286, scimark_benchmark: 1853.9121, usercpu_time_millis: 485.973, usercpu_time_millis_testing: 2.221, usercpu_time_millis_training: 483.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.7518, kappa: 0.4991, kb_relative_information_score: 1123.4198, mean_absolute_error: 0.3672, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7527, predictive_accuracy: 0.7529, prior_entropy: 0.9948, recall: 0.7529, relative_absolute_error: 0.7398, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4189, root_relative_squared_error: 0.8408, scimark_benchmark: 1857.1082, usercpu_time_millis: 302.405, usercpu_time_millis_testing: 1.246, usercpu_time_millis_training: 301.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8575, f_measure: 0.7932, kappa: 0.5828, kb_relative_information_score: 1422.9375, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7935, predictive_accuracy: 0.7937, prior_entropy: 0.9948, recall: 0.7937, relative_absolute_error: 0.6571, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.7859, scimark_benchmark: 1853.9121, usercpu_time_millis: 212.974, usercpu_time_millis_testing: 1.212, usercpu_time_millis_training: 211.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.7368, kappa: 0.4704, kb_relative_information_score: 708.8439, mean_absolute_error: 0.4204, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7372, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.8468, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.8846, scimark_benchmark: 788.5077, usercpu_time_millis: 161.113, usercpu_time_millis_testing: 2.242, usercpu_time_millis_training: 158.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.737, kappa: 0.4716, kb_relative_information_score: 1026.6742, mean_absolute_error: 0.3793, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.7641, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.8699, scimark_benchmark: 1853.9121, usercpu_time_millis: 166.414, usercpu_time_millis_testing: 0.82, usercpu_time_millis_training: 165.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 726.7034, mean_absolute_error: 0.4184, 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: 0.8429, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.8847, scimark_benchmark: 1855.0232, usercpu_time_millis: 96.877, usercpu_time_millis_testing: 1.325, usercpu_time_millis_training: 95.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.7988, kappa: 0.5943, kb_relative_information_score: 1434.7953, mean_absolute_error: 0.3246, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7988, predictive_accuracy: 0.799, prior_entropy: 0.9948, recall: 0.799, relative_absolute_error: 0.6538, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3862, root_relative_squared_error: 0.7751, scimark_benchmark: 789.5158, usercpu_time_millis: 19.015, usercpu_time_millis_testing: 1.619, usercpu_time_millis_training: 17.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.779, f_measure: 0.7032, kappa: 0.4012, kb_relative_information_score: 478.3855, mean_absolute_error: 0.4464, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7046, predictive_accuracy: 0.7051, prior_entropy: 0.9948, recall: 0.7051, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4572, root_relative_squared_error: 0.9177, scimark_benchmark: 1854.4951, usercpu_time_millis: 21.217, usercpu_time_millis_testing: 1.125, usercpu_time_millis_training: 20.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.1653, 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: 790.3999, usercpu_time_millis: 11.503, usercpu_time_millis_testing: 1.666, usercpu_time_millis_training: 9.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7709, f_measure: 0.7372, kappa: 0.4716, kb_relative_information_score: 767.7629, mean_absolute_error: 0.4131, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.738, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.8853, scimark_benchmark: 1844.6345, usercpu_time_millis: 5.77, usercpu_time_millis_testing: 0.639, usercpu_time_millis_training: 5.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: 0.1218, 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: 1863.9794, usercpu_time_millis: 5.35, usercpu_time_millis_testing: 0.781, usercpu_time_millis_training: 4.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, f_measure: 0.7931, kappa: 0.5825, kb_relative_information_score: 1520.6875, mean_absolute_error: 0.3117, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7935, predictive_accuracy: 0.7937, prior_entropy: 0.9948, recall: 0.7937, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3877, root_relative_squared_error: 0.7782, scimark_benchmark: 1832.1397, usercpu_time_millis: 5634.595, usercpu_time_millis_testing: 2.957, usercpu_time_millis_training: 5631.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.8027, kappa: 0.6021, kb_relative_information_score: 1743.5277, mean_absolute_error: 0.2798, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8028, predictive_accuracy: 0.803, prior_entropy: 0.9948, recall: 0.803, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7553, scimark_benchmark: 1713.3283, usercpu_time_millis: 8514.79, usercpu_time_millis_testing: 3.388, usercpu_time_millis_training: 8511.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.7804, kappa: 0.5569, kb_relative_information_score: 1356.8339, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7816, predictive_accuracy: 0.7814, prior_entropy: 0.9948, recall: 0.7814, relative_absolute_error: 0.6724, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.8037, scimark_benchmark: 1796.5926, usercpu_time_millis: 4422.248, usercpu_time_millis_testing: 3.155, usercpu_time_millis_training: 4419.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8548, f_measure: 0.7829, kappa: 0.5621, kb_relative_information_score: 1549.687, mean_absolute_error: 0.3061, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7833, predictive_accuracy: 0.7835, prior_entropy: 0.9948, recall: 0.7835, relative_absolute_error: 0.6165, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3917, root_relative_squared_error: 0.7863, scimark_benchmark: 1797.9304, usercpu_time_millis: 4254.515, usercpu_time_millis_testing: 1.781, usercpu_time_millis_training: 4252.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8576, f_measure: 0.7894, kappa: 0.5751, kb_relative_information_score: 1500.0362, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7897, predictive_accuracy: 0.7899, prior_entropy: 0.9948, recall: 0.7899, relative_absolute_error: 0.6332, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7827, scimark_benchmark: 790.2522, usercpu_time_millis: 3949.388, usercpu_time_millis_testing: 2.827, usercpu_time_millis_training: 3946.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.8057, kappa: 0.6081, kb_relative_information_score: 1663.0821, mean_absolute_error: 0.2926, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.806, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7535, scimark_benchmark: 1822.3184, usercpu_time_millis: 2391.881, usercpu_time_millis_testing: 1.593, usercpu_time_millis_training: 2390.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.8057, kappa: 0.6081, kb_relative_information_score: 1596.9632, mean_absolute_error: 0.3025, 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: 0.6093, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.7588, scimark_benchmark: 1857.5664, usercpu_time_millis: 1909.497, usercpu_time_millis_testing: 2.357, usercpu_time_millis_training: 1907.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.7735, kappa: 0.5429, kb_relative_information_score: 1312.7014, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7751, predictive_accuracy: 0.7747, prior_entropy: 0.9948, recall: 0.7747, relative_absolute_error: 0.6855, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.8085, scimark_benchmark: 1911.3166, usercpu_time_millis: 1113.477, usercpu_time_millis_testing: 1.441, usercpu_time_millis_training: 1112.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8093, kappa: 0.6155, kb_relative_information_score: 1713.8461, mean_absolute_error: 0.2854, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8095, predictive_accuracy: 0.8097, prior_entropy: 0.9948, recall: 0.8097, relative_absolute_error: 0.5749, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.7478, scimark_benchmark: 1714.7312, usercpu_time_millis: 4107.608, usercpu_time_millis_testing: 4.552, usercpu_time_millis_training: 4103.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7644, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 920.3493, mean_absolute_error: 0.394, 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: 0.7936, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8796, scimark_benchmark: 1853.454, usercpu_time_millis: 177.628, usercpu_time_millis_testing: 0.986, usercpu_time_millis_training: 176.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.7368, kappa: 0.4705, kb_relative_information_score: 744.3559, mean_absolute_error: 0.4161, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7373, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.8381, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.8818, scimark_benchmark: 1828.686, usercpu_time_millis: 140.923, usercpu_time_millis_testing: 1.203, usercpu_time_millis_training: 139.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.817, f_measure: 0.7538, kappa: 0.5033, kb_relative_information_score: 900.9451, mean_absolute_error: 0.3964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7568, predictive_accuracy: 0.7558, prior_entropy: 0.9948, recall: 0.7558, relative_absolute_error: 0.7985, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4258, root_relative_squared_error: 0.8546, scimark_benchmark: 1825.2596, usercpu_time_millis: 98.581, usercpu_time_millis_testing: 1.303, usercpu_time_millis_training: 97.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.7141, kappa: 0.4231, kb_relative_information_score: 593.4704, mean_absolute_error: 0.4331, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7146, predictive_accuracy: 0.7153, prior_entropy: 0.9948, recall: 0.7153, relative_absolute_error: 0.8724, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.8989, scimark_benchmark: 788.7496, usercpu_time_millis: 31.185, usercpu_time_millis_testing: 1.993, usercpu_time_millis_training: 29.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 964.134, mean_absolute_error: 0.3882, 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: 0.782, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.8782, scimark_benchmark: 1790.4748, usercpu_time_millis: 33.793, usercpu_time_millis_testing: 0.714, usercpu_time_millis_training: 33.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: -0.1295, 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: 1833.1288, usercpu_time_millis: 7.137, usercpu_time_millis_testing: 1.11, usercpu_time_millis_training: 6.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7598, kappa: 0.5156, kb_relative_information_score: 1357.0565, mean_absolute_error: 0.3309, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7599, predictive_accuracy: 0.7603, prior_entropy: 0.9948, recall: 0.7603, relative_absolute_error: 0.6666, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.411, root_relative_squared_error: 0.8249, scimark_benchmark: 1915.4627, usercpu_time_millis: 14.262, usercpu_time_millis_testing: 0.564, usercpu_time_millis_training: 13.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: -0.7445, 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: 1798.2896, usercpu_time_millis: 5.259, usercpu_time_millis_testing: 0.761, usercpu_time_millis_training: 4.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.8025, kappa: 0.6016, kb_relative_information_score: 1626.6067, mean_absolute_error: 0.2978, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8028, predictive_accuracy: 0.803, prior_entropy: 0.9948, recall: 0.803, relative_absolute_error: 0.5999, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3785, root_relative_squared_error: 0.7597, scimark_benchmark: 1745.2334, usercpu_time_millis: 3630.461, usercpu_time_millis_testing: 2.851, usercpu_time_millis_training: 3627.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.7846, kappa: 0.5655, kb_relative_information_score: 1458.5612, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7849, predictive_accuracy: 0.7851, prior_entropy: 0.9948, recall: 0.7851, relative_absolute_error: 0.6458, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.7874, scimark_benchmark: 1751.4576, usercpu_time_millis: 3490.394, usercpu_time_millis_testing: 2.722, usercpu_time_millis_training: 3487.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.788, kappa: 0.5722, kb_relative_information_score: 1367.7183, mean_absolute_error: 0.3334, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7884, predictive_accuracy: 0.7886, prior_entropy: 0.9948, recall: 0.7886, relative_absolute_error: 0.6716, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.7931, scimark_benchmark: 1734.7321, usercpu_time_millis: 1785.903, usercpu_time_millis_testing: 3.091, usercpu_time_millis_training: 1782.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.7574, kappa: 0.5107, kb_relative_information_score: 1349.9182, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7608, predictive_accuracy: 0.7595, prior_entropy: 0.9948, recall: 0.7595, relative_absolute_error: 0.6727, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.404, root_relative_squared_error: 0.811, scimark_benchmark: 1734.693, usercpu_time_millis: 2291.871, usercpu_time_millis_testing: 1.855, usercpu_time_millis_training: 2290.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, f_measure: 0.799, kappa: 0.5944, kb_relative_information_score: 1517.7479, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7994, predictive_accuracy: 0.7995, prior_entropy: 0.9948, recall: 0.7995, relative_absolute_error: 0.6314, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7705, scimark_benchmark: 1735.1328, usercpu_time_millis: 2145.61, usercpu_time_millis_testing: 3.293, usercpu_time_millis_training: 2142.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, f_measure: 0.8103, kappa: 0.6175, kb_relative_information_score: 1626.889, mean_absolute_error: 0.2984, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8106, predictive_accuracy: 0.8107, prior_entropy: 0.9948, recall: 0.8107, relative_absolute_error: 0.6012, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7541, scimark_benchmark: 1733.3606, usercpu_time_millis: 1739.419, usercpu_time_millis_testing: 2.893, usercpu_time_millis_training: 1736.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7454, f_measure: 0.4359, kappa: 0.0578, kb_relative_information_score: 108.4599, mean_absolute_error: 0.486, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7325, predictive_accuracy: 0.5665, prior_entropy: 0.9948, recall: 0.5665, relative_absolute_error: 0.979, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4883, root_relative_squared_error: 0.98, scimark_benchmark: 1986.2582, usercpu_time_millis: 9.305, usercpu_time_millis_testing: 1.338, usercpu_time_millis_training: 7.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, f_measure: 0.778, kappa: 0.5522, kb_relative_information_score: 1300.5283, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7785, predictive_accuracy: 0.7787, prior_entropy: 0.9948, recall: 0.7787, relative_absolute_error: 0.6893, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.401, root_relative_squared_error: 0.805, scimark_benchmark: 1706.9188, usercpu_time_millis: 794.985, usercpu_time_millis_testing: 3.318, usercpu_time_millis_training: 791.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.809, kappa: 0.6149, kb_relative_information_score: 1493.7196, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8092, predictive_accuracy: 0.8094, prior_entropy: 0.9948, recall: 0.8094, relative_absolute_error: 0.6398, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.7637, scimark_benchmark: 1708.661, usercpu_time_millis: 839.648, usercpu_time_millis_testing: 5.395, usercpu_time_millis_training: 834.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.8109, kappa: 0.6187, kb_relative_information_score: 1589.4676, mean_absolute_error: 0.3041, 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: 0.6126, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.7524, scimark_benchmark: 1732.4995, usercpu_time_millis: 828.603, usercpu_time_millis_testing: 3.911, usercpu_time_millis_training: 824.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.7203, kappa: 0.4355, kb_relative_information_score: 639.8921, mean_absolute_error: 0.4278, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7216, predictive_accuracy: 0.7219, prior_entropy: 0.9948, recall: 0.7219, relative_absolute_error: 0.8617, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.8889, scimark_benchmark: 2134.7129, usercpu_time_millis: 30.556, usercpu_time_millis_testing: 2.304, usercpu_time_millis_training: 28.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: 0.0339, 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: 2082.9652, usercpu_time_millis: 9.147, usercpu_time_millis_testing: 1.378, usercpu_time_millis_training: 7.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: -0.0015, 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: 1940.9556, usercpu_time_millis: 8.286, usercpu_time_millis_testing: 1.445, usercpu_time_millis_training: 6.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7914, f_measure: 0.701, kappa: 0.3969, kb_relative_information_score: 516.056, mean_absolute_error: 0.4422, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7045, predictive_accuracy: 0.7041, prior_entropy: 0.9948, recall: 0.7041, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4535, root_relative_squared_error: 0.9102, scimark_benchmark: 2148.4797, usercpu_time_millis: 11.392, usercpu_time_millis_testing: 1.202, usercpu_time_millis_training: 10.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7595, f_measure: 0.6465, kappa: 0.2993, kb_relative_information_score: 255.2311, mean_absolute_error: 0.471, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6733, predictive_accuracy: 0.6622, prior_entropy: 0.9948, recall: 0.6622, relative_absolute_error: 0.9487, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4754, root_relative_squared_error: 0.9542, scimark_benchmark: 1894.4866, usercpu_time_millis: 16.762, usercpu_time_millis_testing: 2.204, usercpu_time_millis_training: 14.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.0962, 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: 1827.5274, usercpu_time_millis: 5.12, usercpu_time_millis_testing: 0.881, usercpu_time_millis_training: 4.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.8001, kappa: 0.5971, kb_relative_information_score: 1337.1944, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8001, predictive_accuracy: 0.8003, prior_entropy: 0.9948, recall: 0.8003, relative_absolute_error: 0.6836, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.7793, scimark_benchmark: 1885.4909, usercpu_time_millis: 47.359, usercpu_time_millis_testing: 2.831, usercpu_time_millis_training: 44.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.751, kappa: 0.4976, kb_relative_information_score: 840.0498, mean_absolute_error: 0.4035, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7514, predictive_accuracy: 0.7518, prior_entropy: 0.9948, recall: 0.7518, relative_absolute_error: 0.8128, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.856, scimark_benchmark: 1897.8427, usercpu_time_millis: 66.247, usercpu_time_millis_testing: 2.787, usercpu_time_millis_training: 63.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.769, kappa: 0.5339, kb_relative_information_score: 988.349, mean_absolute_error: 0.3847, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7694, predictive_accuracy: 0.7697, prior_entropy: 0.9948, recall: 0.7697, relative_absolute_error: 0.775, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.415, root_relative_squared_error: 0.833, scimark_benchmark: 1925.9757, usercpu_time_millis: 6.339, usercpu_time_millis_testing: 0.827, usercpu_time_millis_training: 5.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7741, f_measure: 0.6493, kappa: 0.3116, kb_relative_information_score: 247.4487, mean_absolute_error: 0.4719, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6913, predictive_accuracy: 0.67, prior_entropy: 0.9948, recall: 0.67, relative_absolute_error: 0.9506, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4758, root_relative_squared_error: 0.9551, scimark_benchmark: 1912.2875, usercpu_time_millis: 24.924, usercpu_time_millis_testing: 2.88, usercpu_time_millis_training: 22.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.7958, kappa: 0.588, kb_relative_information_score: 1475.4483, mean_absolute_error: 0.3189, 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: 0.6424, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7803, scimark_benchmark: 1701.7752, usercpu_time_millis: 419.993, usercpu_time_millis_testing: 2.896, usercpu_time_millis_training: 417.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.1192, 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: 1767.2777, usercpu_time_millis: 9.676, usercpu_time_millis_testing: 1.581, usercpu_time_millis_training: 8.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.1143, 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: 1990.2875, usercpu_time_millis: 6.358, usercpu_time_millis_testing: 1.059, usercpu_time_millis_training: 5.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: 0.0493, 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: 1867.2825, usercpu_time_millis: 5.862, usercpu_time_millis_testing: 0.979, usercpu_time_millis_training: 4.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.0289, 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: 1981.4721, usercpu_time_millis: 4.849, usercpu_time_millis_testing: 0.853, usercpu_time_millis_training: 3.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3813, kb_relative_information_score: -0.5744, 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: 1835.8067, usercpu_time_millis: 4.347, usercpu_time_millis_testing: 0.76, usercpu_time_millis_training: 3.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.765, kappa: 0.5259, kb_relative_information_score: 1226.8701, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7669, predictive_accuracy: 0.7665, prior_entropy: 0.9948, recall: 0.7665, relative_absolute_error: 0.7101, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.8196, scimark_benchmark: 1733.3606, usercpu_time_millis: 287.182, usercpu_time_millis_testing: 1.025, usercpu_time_millis_training: 286.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.7483, kappa: 0.4922, kb_relative_information_score: 818.1584, mean_absolute_error: 0.406, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7487, predictive_accuracy: 0.7491, prior_entropy: 0.9948, recall: 0.7491, relative_absolute_error: 0.8179, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8602, scimark_benchmark: 1909.2597, usercpu_time_millis: 49.749, usercpu_time_millis_testing: 2.672, usercpu_time_millis_training: 47.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.6648, kappa: 0.3381, kb_relative_information_score: 275.6902, mean_absolute_error: 0.4689, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7, predictive_accuracy: 0.6817, prior_entropy: 0.9948, recall: 0.6817, relative_absolute_error: 0.9445, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9499, scimark_benchmark: 1934.7493, usercpu_time_millis: 22.813, usercpu_time_millis_testing: 2.429, usercpu_time_millis_training: 20.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.809, kappa: 0.6148, kb_relative_information_score: 1626.5275, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8092, predictive_accuracy: 0.8094, prior_entropy: 0.9948, recall: 0.8094, relative_absolute_error: 0.6009, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.753, scimark_benchmark: 1735.9447, usercpu_time_millis: 90.324, usercpu_time_millis_testing: 1.087, usercpu_time_millis_training: 89.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.7521, kappa: 0.4997, kb_relative_information_score: 1043.3517, mean_absolute_error: 0.3782, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7534, predictive_accuracy: 0.7534, prior_entropy: 0.9948, recall: 0.7534, relative_absolute_error: 0.7619, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8452, scimark_benchmark: 1737.4437, usercpu_time_millis: 219.044, usercpu_time_millis_testing: 1.128, usercpu_time_millis_training: 217.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.7906, kappa: 0.5777, kb_relative_information_score: 1165.9077, mean_absolute_error: 0.362, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7907, predictive_accuracy: 0.791, prior_entropy: 0.9948, recall: 0.791, relative_absolute_error: 0.7293, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.8041, scimark_benchmark: 2149.8037, usercpu_time_millis: 12.175, usercpu_time_millis_testing: 1.415, usercpu_time_millis_training: 10.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.7671, kappa: 0.5301, kb_relative_information_score: 1171.968, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7675, predictive_accuracy: 0.7678, prior_entropy: 0.9948, recall: 0.7678, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8164, scimark_benchmark: 1733.6677, usercpu_time_millis: 36.446, usercpu_time_millis_testing: 0.844, usercpu_time_millis_training: 35.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.0424, 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: 1747.2705, usercpu_time_millis: 9.759, usercpu_time_millis_testing: 1.468, usercpu_time_millis_training: 8.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, f_measure: 0.7839, kappa: 0.5639, kb_relative_information_score: 1419.7152, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7845, predictive_accuracy: 0.7846, prior_entropy: 0.9948, recall: 0.7846, relative_absolute_error: 0.6557, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.7938, scimark_benchmark: 1856.2897, usercpu_time_millis: 2108.864, usercpu_time_millis_testing: 2.044, usercpu_time_millis_training: 2106.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, f_measure: 0.8069, kappa: 0.6105, kb_relative_information_score: 1656.6399, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8071, predictive_accuracy: 0.8073, prior_entropy: 0.9948, recall: 0.8073, relative_absolute_error: 0.5922, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3741, root_relative_squared_error: 0.7508, scimark_benchmark: 1852.4707, usercpu_time_millis: 1523.703, usercpu_time_millis_testing: 2.652, usercpu_time_millis_training: 1521.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.7772, kappa: 0.5504, kb_relative_information_score: 1357.4762, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7783, predictive_accuracy: 0.7782, prior_entropy: 0.9948, recall: 0.7782, relative_absolute_error: 0.6713, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.8056, scimark_benchmark: 1842.2127, usercpu_time_millis: 1125.406, usercpu_time_millis_testing: 1.293, usercpu_time_millis_training: 1124.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: 0.097, 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: 1846.6923, usercpu_time_millis: 7.257, usercpu_time_millis_testing: 1.103, usercpu_time_millis_training: 6.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8779, f_measure: 0.8106, kappa: 0.618, kb_relative_information_score: 1671.4345, mean_absolute_error: 0.2916, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8108, predictive_accuracy: 0.811, prior_entropy: 0.9948, recall: 0.811, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7519, scimark_benchmark: 1831.1212, usercpu_time_millis: 5888.298, usercpu_time_millis_testing: 4.134, usercpu_time_millis_training: 5884.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.8017, kappa: 0.6001, kb_relative_information_score: 1776.369, mean_absolute_error: 0.2743, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8017, predictive_accuracy: 0.8019, prior_entropy: 0.9948, recall: 0.8019, relative_absolute_error: 0.5525, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.757, scimark_benchmark: 1737.234, usercpu_time_millis: 7826.171, usercpu_time_millis_testing: 4.672, usercpu_time_millis_training: 7821.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.8033, kappa: 0.6031, kb_relative_information_score: 1653.0122, mean_absolute_error: 0.2937, 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: 0.5917, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.7578, scimark_benchmark: 1831.1542, usercpu_time_millis: 3807.944, usercpu_time_millis_testing: 1.75, usercpu_time_millis_training: 3806.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.8057, kappa: 0.6081, kb_relative_information_score: 1689.3924, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.806, predictive_accuracy: 0.8062, prior_entropy: 0.9948, recall: 0.8062, relative_absolute_error: 0.5812, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7526, scimark_benchmark: 2026.7881, usercpu_time_millis: 5110.289, usercpu_time_millis_testing: 2.295, usercpu_time_millis_training: 5107.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.8042, kappa: 0.6051, kb_relative_information_score: 1500.9181, mean_absolute_error: 0.3162, 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: 0.637, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.7672, scimark_benchmark: 1827.6328, usercpu_time_millis: 1453.282, usercpu_time_millis_testing: 3.571, usercpu_time_millis_training: 1449.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.802, kappa: 0.6006, kb_relative_information_score: 1559.7838, mean_absolute_error: 0.3073, 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: 0.619, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.7678, scimark_benchmark: 1836.5612, usercpu_time_millis: 827.942, usercpu_time_millis_testing: 1.235, usercpu_time_millis_training: 826.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.7908, kappa: 0.578, kb_relative_information_score: 1252.2867, mean_absolute_error: 0.3498, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.791, predictive_accuracy: 0.7913, prior_entropy: 0.9948, recall: 0.7913, relative_absolute_error: 0.7047, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.7998, scimark_benchmark: 1831.6625, usercpu_time_millis: 835.03, usercpu_time_millis_testing: 4.025, usercpu_time_millis_training: 831.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.8106, kappa: 0.6181, kb_relative_information_score: 1550.4266, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8108, predictive_accuracy: 0.811, prior_entropy: 0.9948, recall: 0.811, relative_absolute_error: 0.6231, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.7602, scimark_benchmark: 1832.1735, usercpu_time_millis: 305.521, usercpu_time_millis_testing: 1.318, usercpu_time_millis_training: 304.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.7356, kappa: 0.4682, kb_relative_information_score: 979.3688, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7362, predictive_accuracy: 0.7353, prior_entropy: 0.9948, recall: 0.7353, relative_absolute_error: 0.7783, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8536, scimark_benchmark: 1834.8102, usercpu_time_millis: 301.075, usercpu_time_millis_testing: 1.728, usercpu_time_millis_training: 299.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.7402, kappa: 0.4758, kb_relative_information_score: 485.7341, mean_absolute_error: 0.4459, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7411, predictive_accuracy: 0.7414, prior_entropy: 0.9948, recall: 0.7414, relative_absolute_error: 0.8983, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4565, root_relative_squared_error: 0.9162, scimark_benchmark: 1836.2249, usercpu_time_millis: 93.556, usercpu_time_millis_testing: 1.684, usercpu_time_millis_training: 91.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.0895, 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: 1831.2726, usercpu_time_millis: 7.837, usercpu_time_millis_testing: 1.236, usercpu_time_millis_training: 6.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.7496, kappa: 0.4955, kb_relative_information_score: 1246.5047, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.756, predictive_accuracy: 0.7529, prior_entropy: 0.9948, recall: 0.7529, relative_absolute_error: 0.7026, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.8382, scimark_benchmark: 1946.3858, usercpu_time_millis: 1727.205, usercpu_time_millis_testing: 1.56, usercpu_time_millis_training: 1725.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, f_measure: 0.7819, kappa: 0.5599, kb_relative_information_score: 1307.2985, mean_absolute_error: 0.3414, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7827, predictive_accuracy: 0.7827, prior_entropy: 0.9948, recall: 0.7827, relative_absolute_error: 0.6876, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4008, root_relative_squared_error: 0.8045, scimark_benchmark: 1743.6226, usercpu_time_millis: 1106.178, usercpu_time_millis_testing: 1.899, usercpu_time_millis_training: 1104.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.8098, kappa: 0.6165, kb_relative_information_score: 1478.3485, mean_absolute_error: 0.3198, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.81, predictive_accuracy: 0.8102, prior_entropy: 0.9948, recall: 0.8102, relative_absolute_error: 0.6441, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.765, scimark_benchmark: 1923.769, usercpu_time_millis: 586.32, usercpu_time_millis_testing: 3.352, usercpu_time_millis_training: 582.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.7946, kappa: 0.5856, kb_relative_information_score: 1328.04, mean_absolute_error: 0.3399, 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: 0.6847, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.7883, scimark_benchmark: 1840.7617, usercpu_time_millis: 597.968, usercpu_time_millis_testing: 3.345, usercpu_time_millis_training: 594.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.7633, kappa: 0.5224, kb_relative_information_score: 1142.435, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7654, predictive_accuracy: 0.7649, prior_entropy: 0.9948, recall: 0.7649, relative_absolute_error: 0.7343, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.8254, scimark_benchmark: 1756.0624, usercpu_time_millis: 473.719, usercpu_time_millis_testing: 1.815, usercpu_time_millis_training: 471.904,

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