OpenML
Supervised Classification on phoneme

Supervised Classification on phoneme

Task 145857 Supervised Classification phoneme 102354 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

102354 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: 0.9455, f_measure: 0.8831, kappa: 0.7174, kb_relative_information_score: 2940.981, mean_absolute_error: 0.1949, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8829, predictive_accuracy: 0.8834, prior_entropy: 0.8733, recall: 0.8834, relative_absolute_error: 0.47, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.6444, scimark_benchmark: 1859.2756, usercpu_time_millis: 56.483, usercpu_time_millis_testing: 3.747, usercpu_time_millis_training: 52.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.878, kappa: 0.7039, kb_relative_information_score: 2648.5249, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8775, predictive_accuracy: 0.8788, prior_entropy: 0.8733, recall: 0.8788, relative_absolute_error: 0.5256, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3056, root_relative_squared_error: 0.6711, scimark_benchmark: 1813.848, usercpu_time_millis: 26.7, usercpu_time_millis_testing: 1.942, usercpu_time_millis_training: 24.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.8208, kappa: 0.5593, kb_relative_information_score: 1985.4304, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8202, predictive_accuracy: 0.8253, prior_entropy: 0.8733, recall: 0.8253, relative_absolute_error: 0.6301, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.348, root_relative_squared_error: 0.7642, scimark_benchmark: 1825.7178, usercpu_time_millis: 23.767, usercpu_time_millis_testing: 0.955, usercpu_time_millis_training: 22.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9573, f_measure: 0.9013, kappa: 0.7613, kb_relative_information_score: 3279.0929, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9011, predictive_accuracy: 0.9016, prior_entropy: 0.8733, recall: 0.9016, relative_absolute_error: 0.409, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.5984, scimark_benchmark: 1833.7089, usercpu_time_millis: 38.727, usercpu_time_millis_testing: 1.739, usercpu_time_millis_training: 36.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8748, kappa: 0.6961, kb_relative_information_score: 2685.996, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8743, predictive_accuracy: 0.8756, prior_entropy: 0.8733, recall: 0.8756, relative_absolute_error: 0.5166, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3061, root_relative_squared_error: 0.6722, scimark_benchmark: 1824.4185, usercpu_time_millis: 22.803, usercpu_time_millis_testing: 2.222, usercpu_time_millis_training: 20.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.8506, kappa: 0.6357, kb_relative_information_score: 2410.2337, mean_absolute_error: 0.2316, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8498, predictive_accuracy: 0.8525, prior_entropy: 0.8733, recall: 0.8525, relative_absolute_error: 0.5585, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.7178, scimark_benchmark: 1859.6666, usercpu_time_millis: 31.628, usercpu_time_millis_testing: 1.484, usercpu_time_millis_training: 30.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.8812, kappa: 0.7121, kb_relative_information_score: 2925.4296, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8808, predictive_accuracy: 0.8818, prior_entropy: 0.8733, recall: 0.8818, relative_absolute_error: 0.4713, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.295, root_relative_squared_error: 0.6478, scimark_benchmark: 1858.6076, usercpu_time_millis: 21.75, usercpu_time_millis_testing: 0.668, usercpu_time_millis_training: 21.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.8655, kappa: 0.6734, kb_relative_information_score: 2644.583, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8649, predictive_accuracy: 0.8666, prior_entropy: 0.8733, recall: 0.8666, relative_absolute_error: 0.522, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.6842, scimark_benchmark: 1824.8044, usercpu_time_millis: 20.45, usercpu_time_millis_testing: 1.455, usercpu_time_millis_training: 18.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8707, kappa: 0.686, kb_relative_information_score: 2527.7843, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8702, predictive_accuracy: 0.8718, prior_entropy: 0.8733, recall: 0.8718, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.6868, scimark_benchmark: 1858.2223, usercpu_time_millis: 28.977, usercpu_time_millis_testing: 3.381, usercpu_time_millis_training: 25.596,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.8674, kappa: 0.6785, kb_relative_information_score: 2736.3508, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8669, predictive_accuracy: 0.8682, prior_entropy: 0.8733, recall: 0.8682, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.6756, scimark_benchmark: 1858.7532, usercpu_time_millis: 44.706, usercpu_time_millis_testing: 2.452, usercpu_time_millis_training: 42.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8767, kappa: 0.7011, kb_relative_information_score: 2841.1967, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8762, predictive_accuracy: 0.8773, prior_entropy: 0.8733, recall: 0.8773, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.6589, scimark_benchmark: 1852.5344, usercpu_time_millis: 53.663, usercpu_time_millis_testing: 2.712, usercpu_time_millis_training: 50.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8724, kappa: 0.691, kb_relative_information_score: 2841.2931, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.872, predictive_accuracy: 0.8729, prior_entropy: 0.8733, recall: 0.8729, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.302, root_relative_squared_error: 0.6632, scimark_benchmark: 1832.9508, usercpu_time_millis: 35.669, usercpu_time_millis_testing: 1.197, usercpu_time_millis_training: 34.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.9009, kappa: 0.7605, kb_relative_information_score: 3338.3078, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9007, predictive_accuracy: 0.9012, prior_entropy: 0.8733, recall: 0.9012, relative_absolute_error: 0.397, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.5935, scimark_benchmark: 1850.2875, usercpu_time_millis: 44.944, usercpu_time_millis_testing: 1.616, usercpu_time_millis_training: 43.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8505, f_measure: 0.7795, kappa: 0.4564, kb_relative_information_score: 1314.8738, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7777, predictive_accuracy: 0.7859, prior_entropy: 0.8733, recall: 0.7859, relative_absolute_error: 0.7594, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.8369, scimark_benchmark: 1816.5209, usercpu_time_millis: 14.65, usercpu_time_millis_testing: 1.621, usercpu_time_millis_training: 13.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8852, f_measure: 0.7992, kappa: 0.5068, kb_relative_information_score: 1646.9205, mean_absolute_error: 0.2911, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7977, predictive_accuracy: 0.8038, prior_entropy: 0.8733, recall: 0.8038, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.7942, scimark_benchmark: 1827.7028, usercpu_time_millis: 13.77, usercpu_time_millis_testing: 1.227, usercpu_time_millis_training: 12.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.8371, kappa: 0.6006, kb_relative_information_score: 2188.3247, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8364, predictive_accuracy: 0.8403, prior_entropy: 0.8733, recall: 0.8403, relative_absolute_error: 0.5912, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3396, root_relative_squared_error: 0.7459, scimark_benchmark: 1837.6484, usercpu_time_millis: 20.001, usercpu_time_millis_testing: 0.62, usercpu_time_millis_training: 19.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.8518, kappa: 0.6382, kb_relative_information_score: 2464.3473, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.851, predictive_accuracy: 0.8538, prior_entropy: 0.8733, recall: 0.8538, relative_absolute_error: 0.5485, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.7132, scimark_benchmark: 1817.341, usercpu_time_millis: 60.246, usercpu_time_millis_testing: 2.561, usercpu_time_millis_training: 57.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.7774, kappa: 0.4511, kb_relative_information_score: 1295.8944, mean_absolute_error: 0.3167, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7755, predictive_accuracy: 0.7839, prior_entropy: 0.8733, recall: 0.7839, relative_absolute_error: 0.7636, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.382, root_relative_squared_error: 0.8389, scimark_benchmark: 1854.9533, usercpu_time_millis: 12.167, usercpu_time_millis_testing: 1.313, usercpu_time_millis_training: 10.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8383, kappa: 0.6033, kb_relative_information_score: 2198.2161, mean_absolute_error: 0.2444, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8377, predictive_accuracy: 0.8416, prior_entropy: 0.8733, recall: 0.8416, relative_absolute_error: 0.5892, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.7465, scimark_benchmark: 1854.568, usercpu_time_millis: 12.907, usercpu_time_millis_testing: 0.315, usercpu_time_millis_training: 12.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.793, kappa: 0.4896, kb_relative_information_score: 1574.3214, mean_absolute_error: 0.2966, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7918, predictive_accuracy: 0.799, prior_entropy: 0.8733, recall: 0.799, relative_absolute_error: 0.7152, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.803, scimark_benchmark: 1854.9533, usercpu_time_millis: 9.549, usercpu_time_millis_testing: 0.99, usercpu_time_millis_training: 8.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.8968, kappa: 0.75, kb_relative_information_score: 3139.2633, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8965, predictive_accuracy: 0.8973, prior_entropy: 0.8733, recall: 0.8973, relative_absolute_error: 0.4352, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2792, root_relative_squared_error: 0.6131, scimark_benchmark: 1844.6953, usercpu_time_millis: 33.166, usercpu_time_millis_testing: 2.727, usercpu_time_millis_training: 30.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.8116, kappa: 0.5397, kb_relative_information_score: 1871.9954, mean_absolute_error: 0.269, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8102, predictive_accuracy: 0.8146, prior_entropy: 0.8733, recall: 0.8146, relative_absolute_error: 0.6486, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7788, scimark_benchmark: 1837.6484, usercpu_time_millis: 18.244, usercpu_time_millis_testing: 1.158, usercpu_time_millis_training: 17.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.8999, kappa: 0.7576, kb_relative_information_score: 3092.3753, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8996, predictive_accuracy: 0.9003, prior_entropy: 0.8733, recall: 0.9003, relative_absolute_error: 0.4472, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.6112, scimark_benchmark: 1854.0399, usercpu_time_millis: 38.428, usercpu_time_millis_testing: 3.527, usercpu_time_millis_training: 34.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.7739, kappa: 0.4405, kb_relative_information_score: 1241.1155, mean_absolute_error: 0.3213, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7725, predictive_accuracy: 0.782, prior_entropy: 0.8733, recall: 0.782, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.8436, scimark_benchmark: 1841.6847, usercpu_time_millis: 12.444, usercpu_time_millis_testing: 1.462, usercpu_time_millis_training: 10.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.8948, kappa: 0.7455, kb_relative_information_score: 3004.538, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8946, predictive_accuracy: 0.8953, prior_entropy: 0.8733, recall: 0.8953, relative_absolute_error: 0.4627, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2843, root_relative_squared_error: 0.6244, scimark_benchmark: 1836.735, usercpu_time_millis: 15.076, usercpu_time_millis_testing: 1.045, usercpu_time_millis_training: 14.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.853, f_measure: 0.7833, kappa: 0.4746, kb_relative_information_score: 1365.0796, mean_absolute_error: 0.3083, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7823, predictive_accuracy: 0.7846, prior_entropy: 0.8733, recall: 0.7846, relative_absolute_error: 0.7434, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.8342, scimark_benchmark: 1841.2265, usercpu_time_millis: 10.836, usercpu_time_millis_testing: 0.992, usercpu_time_millis_training: 9.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.8604, kappa: 0.66, kb_relative_information_score: 2396.1594, mean_absolute_error: 0.2341, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8597, predictive_accuracy: 0.862, prior_entropy: 0.8733, recall: 0.862, relative_absolute_error: 0.5644, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.323, root_relative_squared_error: 0.7093, scimark_benchmark: 1858.2223, usercpu_time_millis: 14.521, usercpu_time_millis_testing: 0.823, usercpu_time_millis_training: 13.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.806, kappa: 0.5234, kb_relative_information_score: 1701.1798, mean_absolute_error: 0.2868, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8047, predictive_accuracy: 0.8105, prior_entropy: 0.8733, recall: 0.8105, relative_absolute_error: 0.6915, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7881, scimark_benchmark: 1813.6996, usercpu_time_millis: 10.052, usercpu_time_millis_testing: 1.118, usercpu_time_millis_training: 8.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.9004, kappa: 0.7591, kb_relative_information_score: 3141.869, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9002, predictive_accuracy: 0.9008, prior_entropy: 0.8733, recall: 0.9008, relative_absolute_error: 0.4375, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.6055, scimark_benchmark: 1830.7134, usercpu_time_millis: 16.223, usercpu_time_millis_testing: 1.243, usercpu_time_millis_training: 14.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.9025, kappa: 0.7639, kb_relative_information_score: 3173.7291, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9022, predictive_accuracy: 0.9029, prior_entropy: 0.8733, recall: 0.9029, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2735, root_relative_squared_error: 0.6006, scimark_benchmark: 1805.187, usercpu_time_millis: 39.89, usercpu_time_millis_testing: 3.306, usercpu_time_millis_training: 36.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.8871, kappa: 0.7263, kb_relative_information_score: 2825.2785, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8867, predictive_accuracy: 0.8877, prior_entropy: 0.8733, recall: 0.8877, relative_absolute_error: 0.4949, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2946, root_relative_squared_error: 0.647, scimark_benchmark: 1853.5818, usercpu_time_millis: 42.085, usercpu_time_millis_testing: 4.563, usercpu_time_millis_training: 37.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.8124, kappa: 0.5412, kb_relative_information_score: 1898.4243, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.811, predictive_accuracy: 0.8155, prior_entropy: 0.8733, recall: 0.8155, relative_absolute_error: 0.644, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3525, root_relative_squared_error: 0.7741, scimark_benchmark: 1909.174, usercpu_time_millis: 23.92, usercpu_time_millis_testing: 1.163, usercpu_time_millis_training: 22.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.882, kappa: 0.7147, kb_relative_information_score: 2999.8165, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8817, predictive_accuracy: 0.8823, prior_entropy: 0.8733, recall: 0.8823, relative_absolute_error: 0.4573, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.6404, scimark_benchmark: 1830.308, usercpu_time_millis: 29.506, usercpu_time_millis_testing: 1.102, usercpu_time_millis_training: 28.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.8759, kappa: 0.6996, kb_relative_information_score: 2834.914, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8755, predictive_accuracy: 0.8764, prior_entropy: 0.8733, recall: 0.8764, relative_absolute_error: 0.4864, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3017, root_relative_squared_error: 0.6627, scimark_benchmark: 1842.2127, usercpu_time_millis: 9.21, usercpu_time_millis_testing: 0.381, usercpu_time_millis_training: 8.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.827, kappa: 0.5763, kb_relative_information_score: 2052.3618, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.826, predictive_accuracy: 0.8301, prior_entropy: 0.8733, recall: 0.8301, relative_absolute_error: 0.6135, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3469, root_relative_squared_error: 0.7618, scimark_benchmark: 1849.9572, usercpu_time_millis: 10.594, usercpu_time_millis_testing: 0.435, usercpu_time_millis_training: 10.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9045, kappa: 0.769, kb_relative_information_score: 3296.6633, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9043, predictive_accuracy: 0.9049, prior_entropy: 0.8733, recall: 0.9049, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2673, root_relative_squared_error: 0.587, scimark_benchmark: 1909.174, usercpu_time_millis: 20.814, usercpu_time_millis_testing: 1.498, usercpu_time_millis_training: 19.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.7725, kappa: 0.4685, kb_relative_information_score: 1370.286, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7829, predictive_accuracy: 0.767, prior_entropy: 0.8733, recall: 0.767, relative_absolute_error: 0.7292, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.8517, scimark_benchmark: 1858.6076, usercpu_time_millis: 14.893, usercpu_time_millis_testing: 0.672, usercpu_time_millis_training: 14.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.8801, kappa: 0.709, kb_relative_information_score: 2813.8162, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8796, predictive_accuracy: 0.8808, prior_entropy: 0.8733, recall: 0.8808, relative_absolute_error: 0.4929, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.6576, scimark_benchmark: 1816.7102, usercpu_time_millis: 23.531, usercpu_time_millis_testing: 1.479, usercpu_time_millis_training: 22.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.7641, kappa: 0.4505, kb_relative_information_score: 1264.9858, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7759, predictive_accuracy: 0.7581, prior_entropy: 0.8733, recall: 0.7581, relative_absolute_error: 0.7499, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.8633, scimark_benchmark: 1836.2993, usercpu_time_millis: 9.562, usercpu_time_millis_testing: 0.769, usercpu_time_millis_training: 8.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.883, kappa: 0.717, kb_relative_information_score: 2954.2935, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8827, predictive_accuracy: 0.8834, prior_entropy: 0.8733, recall: 0.8834, relative_absolute_error: 0.4663, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.644, scimark_benchmark: 1820.0566, usercpu_time_millis: 22.205, usercpu_time_millis_testing: 0.753, usercpu_time_millis_training: 21.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.8603, kappa: 0.6596, kb_relative_information_score: 2400.7785, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8597, predictive_accuracy: 0.862, prior_entropy: 0.8733, recall: 0.862, relative_absolute_error: 0.5639, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.7091, scimark_benchmark: 1855.5541, usercpu_time_millis: 6.485, usercpu_time_millis_testing: 0.329, usercpu_time_millis_training: 6.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.8493, kappa: 0.6318, kb_relative_information_score: 2208.4173, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8486, predictive_accuracy: 0.8516, prior_entropy: 0.8733, recall: 0.8516, relative_absolute_error: 0.5963, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.7316, scimark_benchmark: 1847.2793, usercpu_time_millis: 21.758, usercpu_time_millis_testing: 2.007, usercpu_time_millis_training: 19.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.8882, kappa: 0.7297, kb_relative_information_score: 2955.9889, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.888, predictive_accuracy: 0.8886, prior_entropy: 0.8733, recall: 0.8886, relative_absolute_error: 0.4681, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.6376, scimark_benchmark: 1851.6273, usercpu_time_millis: 5.879, usercpu_time_millis_testing: 0.414, usercpu_time_millis_training: 5.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.8463, kappa: 0.6248, kb_relative_information_score: 2306.9332, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8455, predictive_accuracy: 0.8484, prior_entropy: 0.8733, recall: 0.8484, relative_absolute_error: 0.5751, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.7293, scimark_benchmark: 1910.4235, usercpu_time_millis: 21.336, usercpu_time_millis_testing: 1.123, usercpu_time_millis_training: 20.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.7819, kappa: 0.4757, kb_relative_information_score: 1530.1259, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7826, predictive_accuracy: 0.7813, prior_entropy: 0.8733, recall: 0.7813, relative_absolute_error: 0.7026, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.8263, scimark_benchmark: 1832.2675, usercpu_time_millis: 12.637, usercpu_time_millis_testing: 0.844, usercpu_time_millis_training: 11.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.585, kb_relative_information_score: -0.6012, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1822.2611, usercpu_time_millis: 4.817, usercpu_time_millis_testing: 0.849, usercpu_time_millis_training: 3.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.7314, kappa: 0.3222, kb_relative_information_score: 1119.7014, mean_absolute_error: 0.3341, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7532, predictive_accuracy: 0.7631, prior_entropy: 0.8733, recall: 0.7631, relative_absolute_error: 0.8057, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.8517, scimark_benchmark: 1845.2509, usercpu_time_millis: 5.062, usercpu_time_millis_testing: 0.65, usercpu_time_millis_training: 4.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, f_measure: 0.7895, kappa: 0.4906, kb_relative_information_score: 1622.6542, mean_absolute_error: 0.2864, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7888, predictive_accuracy: 0.7903, prior_entropy: 0.8733, recall: 0.7903, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.8135, scimark_benchmark: 1826.3736, usercpu_time_millis: 12.896, usercpu_time_millis_testing: 0.618, usercpu_time_millis_training: 12.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.8708, kappa: 0.6861, kb_relative_information_score: 2645.495, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8702, predictive_accuracy: 0.8718, prior_entropy: 0.8733, recall: 0.8718, relative_absolute_error: 0.5225, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6793, scimark_benchmark: 1848.388, usercpu_time_millis: 6.557, usercpu_time_millis_testing: 0.303, usercpu_time_millis_training: 6.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.7889, kappa: 0.4888, kb_relative_information_score: 1604.6846, mean_absolute_error: 0.2877, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7881, predictive_accuracy: 0.7898, prior_entropy: 0.8733, recall: 0.7898, relative_absolute_error: 0.6936, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.8155, scimark_benchmark: 1838.1523, usercpu_time_millis: 23.209, usercpu_time_millis_testing: 1.529, usercpu_time_millis_training: 21.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8261, kappa: 0.5736, kb_relative_information_score: 1924.8901, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8251, predictive_accuracy: 0.8296, prior_entropy: 0.8733, recall: 0.8296, relative_absolute_error: 0.6508, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3469, root_relative_squared_error: 0.7619, scimark_benchmark: 1853.5818, usercpu_time_millis: 3.85, usercpu_time_millis_testing: 0.317, usercpu_time_millis_training: 3.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.8251, kappa: 0.5712, kb_relative_information_score: 1994.3823, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8242, predictive_accuracy: 0.8286, prior_entropy: 0.8733, recall: 0.8286, relative_absolute_error: 0.6269, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3474, root_relative_squared_error: 0.7628, scimark_benchmark: 1801.1713, usercpu_time_millis: 37.16, usercpu_time_millis_testing: 1.715, usercpu_time_millis_training: 35.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8907, f_measure: 0.8142, kappa: 0.5451, kb_relative_information_score: 1872.1118, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8129, predictive_accuracy: 0.8175, prior_entropy: 0.8733, recall: 0.8175, relative_absolute_error: 0.6507, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.353, root_relative_squared_error: 0.7753, scimark_benchmark: 1807.0847, usercpu_time_millis: 3.945, usercpu_time_millis_testing: 0.311, usercpu_time_millis_training: 3.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, f_measure: 0.775, kappa: 0.4579, kb_relative_information_score: 1372.1071, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7752, predictive_accuracy: 0.7748, prior_entropy: 0.8733, recall: 0.7748, relative_absolute_error: 0.7375, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.382, root_relative_squared_error: 0.839, scimark_benchmark: 1850.9039, usercpu_time_millis: 7.509, usercpu_time_millis_testing: 0.704, usercpu_time_millis_training: 6.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8232, kappa: 0.5676, kb_relative_information_score: 1958.4082, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.822, predictive_accuracy: 0.8261, prior_entropy: 0.8733, recall: 0.8261, relative_absolute_error: 0.6338, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.349, root_relative_squared_error: 0.7664, scimark_benchmark: 1830.1853, usercpu_time_millis: 18.674, usercpu_time_millis_testing: 1.06, usercpu_time_millis_training: 17.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.585, kb_relative_information_score: -2.6107, mean_absolute_error: 0.4148, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1846.7129, usercpu_time_millis: 3.187, usercpu_time_millis_testing: 0.518, usercpu_time_millis_training: 2.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.9018, kappa: 0.7624, kb_relative_information_score: 3343.847, mean_absolute_error: 0.1633, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9016, predictive_accuracy: 0.9021, prior_entropy: 0.8733, recall: 0.9021, relative_absolute_error: 0.3938, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.5967, scimark_benchmark: 1822.4692, usercpu_time_millis: 17.705, usercpu_time_millis_testing: 0.604, usercpu_time_millis_training: 17.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.8656, kappa: 0.6733, kb_relative_information_score: 2542.3937, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.865, predictive_accuracy: 0.8668, prior_entropy: 0.8733, recall: 0.8668, relative_absolute_error: 0.5418, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3149, root_relative_squared_error: 0.6915, scimark_benchmark: 1805.7357, usercpu_time_millis: 17.712, usercpu_time_millis_testing: 1.553, usercpu_time_millis_training: 16.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8594, f_measure: 0.7616, kappa: 0.4047, kb_relative_information_score: 1248.1265, mean_absolute_error: 0.3235, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.763, predictive_accuracy: 0.775, prior_entropy: 0.8733, recall: 0.775, relative_absolute_error: 0.7799, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.8384, scimark_benchmark: 1846.5018, usercpu_time_millis: 2.986, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 2.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.9066, kappa: 0.7738, kb_relative_information_score: 3510.8077, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9063, predictive_accuracy: 0.9069, prior_entropy: 0.8733, recall: 0.9069, relative_absolute_error: 0.3607, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.58, scimark_benchmark: 1832.4342, usercpu_time_millis: 23.834, usercpu_time_millis_testing: 0.83, usercpu_time_millis_training: 23.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.8348, kappa: 0.5943, kb_relative_information_score: 2048.5276, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8344, predictive_accuracy: 0.8386, prior_entropy: 0.8733, recall: 0.8386, relative_absolute_error: 0.6289, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.7456, scimark_benchmark: 1833.7089, usercpu_time_millis: 26.65, usercpu_time_millis_testing: 2.104, usercpu_time_millis_training: 24.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.585, kb_relative_information_score: -7.3831, mean_absolute_error: 0.415, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1855.8866, usercpu_time_millis: 1.367, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 1.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.7984, kappa: 0.5067, kb_relative_information_score: 1788.4166, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7967, predictive_accuracy: 0.8018, prior_entropy: 0.8733, recall: 0.8018, relative_absolute_error: 0.6618, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7891, scimark_benchmark: 1843.7454, usercpu_time_millis: 41.87, usercpu_time_millis_testing: 2.044, usercpu_time_millis_training: 39.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.8274, kappa: 0.5824, kb_relative_information_score: 2947.1048, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8269, predictive_accuracy: 0.8279, prior_entropy: 0.8733, recall: 0.8279, relative_absolute_error: 0.421, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4127, root_relative_squared_error: 0.9062, scimark_benchmark: 1858.6076, usercpu_time_millis: 0.139, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.896, kappa: 0.749, kb_relative_information_score: 3253.2407, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8959, predictive_accuracy: 0.8962, prior_entropy: 0.8733, recall: 0.8962, relative_absolute_error: 0.411, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.6069, scimark_benchmark: 1829.6602, usercpu_time_millis: 13.032, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 12.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.8206, kappa: 0.5597, kb_relative_information_score: 1869.4452, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8196, predictive_accuracy: 0.8244, prior_entropy: 0.8733, recall: 0.8244, relative_absolute_error: 0.6606, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.7683, scimark_benchmark: 1830.7134, usercpu_time_millis: 17.307, usercpu_time_millis_testing: 1.808, usercpu_time_millis_training: 15.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.585, kb_relative_information_score: -0.1923, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1837.6484, usercpu_time_millis: 6.454, usercpu_time_millis_testing: 1.141, usercpu_time_millis_training: 5.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.8818, kappa: 0.7135, kb_relative_information_score: 2831.7421, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8814, predictive_accuracy: 0.8825, prior_entropy: 0.8733, recall: 0.8825, relative_absolute_error: 0.4902, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2977, root_relative_squared_error: 0.6538, scimark_benchmark: 1856.6531, usercpu_time_millis: 0.822, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 0.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.585, kb_relative_information_score: 0.4109, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1829.1442, usercpu_time_millis: 8.146, usercpu_time_millis_testing: 1.037, usercpu_time_millis_training: 7.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.7746, kappa: 0.4712, kb_relative_information_score: 1404.2851, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7833, predictive_accuracy: 0.7698, prior_entropy: 0.8733, recall: 0.7698, relative_absolute_error: 0.7241, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.846, scimark_benchmark: 1833.7089, usercpu_time_millis: 25.633, usercpu_time_millis_testing: 1.335, usercpu_time_millis_training: 24.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.585, kb_relative_information_score: 1.6323, mean_absolute_error: 0.4145, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1842.1399, usercpu_time_millis: 1.083, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 0.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.7239, kappa: 0.3034, kb_relative_information_score: 1005.9304, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7567, predictive_accuracy: 0.7618, prior_entropy: 0.8733, recall: 0.7618, relative_absolute_error: 0.8212, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.8677, scimark_benchmark: 1806.2311, usercpu_time_millis: 1.08, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 0.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.7708, kappa: 0.457, kb_relative_information_score: 1349.0985, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.776, predictive_accuracy: 0.7674, prior_entropy: 0.8733, recall: 0.7674, relative_absolute_error: 0.7362, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.8475, scimark_benchmark: 1813.32, usercpu_time_millis: 17.032, usercpu_time_millis_testing: 1.137, usercpu_time_millis_training: 15.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, f_measure: 0.762, kappa: 0.4477, kb_relative_information_score: 1261.4225, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7754, predictive_accuracy: 0.7556, prior_entropy: 0.8733, recall: 0.7556, relative_absolute_error: 0.7482, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.8646, scimark_benchmark: 1855.4813, usercpu_time_millis: 11.501, usercpu_time_millis_testing: 0.838, usercpu_time_millis_training: 10.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.585, kb_relative_information_score: 0.9114, mean_absolute_error: 0.4146, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1848.2615, usercpu_time_millis: 6.336, usercpu_time_millis_testing: 0.839, usercpu_time_millis_training: 5.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.585, kb_relative_information_score: -0.2904, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1847.3406, usercpu_time_millis: 2.419, usercpu_time_millis_testing: 0.286, usercpu_time_millis_training: 2.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8455, f_measure: 0.7682, kappa: 0.4256, kb_relative_information_score: 1203.9832, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7667, predictive_accuracy: 0.777, prior_entropy: 0.8733, recall: 0.777, relative_absolute_error: 0.7811, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.8469, scimark_benchmark: 1851.3287, usercpu_time_millis: 0.604, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 0.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.9033, kappa: 0.7664, kb_relative_information_score: 3332.7041, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.9032, predictive_accuracy: 0.9036, prior_entropy: 0.8733, recall: 0.9036, relative_absolute_error: 0.398, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.5934, scimark_benchmark: 1822.8493, usercpu_time_millis: 36.662, usercpu_time_millis_testing: 1.827, usercpu_time_millis_training: 34.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.8133, kappa: 0.5491, kb_relative_information_score: 2634.8627, mean_absolute_error: 0.1993, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.813, predictive_accuracy: 0.8137, prior_entropy: 0.8733, recall: 0.8137, relative_absolute_error: 0.4806, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.393, root_relative_squared_error: 0.8632, scimark_benchmark: 1849.9303, usercpu_time_millis: 0.128, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.6697, kappa: 0.1785, kb_relative_information_score: 888.42, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7638, predictive_accuracy: 0.7411, prior_entropy: 0.8733, recall: 0.7411, relative_absolute_error: 0.8465, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.8793, scimark_benchmark: 1821.0458, usercpu_time_millis: 11.44, usercpu_time_millis_testing: 1.402, usercpu_time_millis_training: 10.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.8583, kappa: 0.6541, kb_relative_information_score: 2283.7175, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8577, predictive_accuracy: 0.8603, prior_entropy: 0.8733, recall: 0.8603, relative_absolute_error: 0.5879, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.7167, scimark_benchmark: 1857.5664, usercpu_time_millis: 34.694, usercpu_time_millis_testing: 3.146, usercpu_time_millis_training: 31.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.7772, kappa: 0.4575, kb_relative_information_score: 1033.0999, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7755, predictive_accuracy: 0.7796, prior_entropy: 0.8733, recall: 0.7796, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8706, scimark_benchmark: 1817.1684, usercpu_time_millis: 9.281, usercpu_time_millis_testing: 1.061, usercpu_time_millis_training: 8.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.8991, kappa: 0.7563, kb_relative_information_score: 3248.7237, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.899, predictive_accuracy: 0.8993, prior_entropy: 0.8733, recall: 0.8993, relative_absolute_error: 0.4127, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.6046, scimark_benchmark: 1822.9742, usercpu_time_millis: 8.737, usercpu_time_millis_testing: 0.326, usercpu_time_millis_training: 8.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.8553, kappa: 0.6475, kb_relative_information_score: 2518.8912, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8546, predictive_accuracy: 0.857, prior_entropy: 0.8733, recall: 0.857, relative_absolute_error: 0.5403, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.7054, scimark_benchmark: 1847.8651, usercpu_time_millis: 35.073, usercpu_time_millis_testing: 1.275, usercpu_time_millis_training: 33.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8436, f_measure: 0.7516, kappa: 0.3775, kb_relative_information_score: 1073.7874, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7553, predictive_accuracy: 0.7687, prior_entropy: 0.8733, recall: 0.7687, relative_absolute_error: 0.8065, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3913, root_relative_squared_error: 0.8594, scimark_benchmark: 1854.9533, usercpu_time_millis: 6.033, usercpu_time_millis_testing: 0.75, usercpu_time_millis_training: 5.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.7822, kappa: 0.473, kb_relative_information_score: 1457.1832, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7815, predictive_accuracy: 0.7829, prior_entropy: 0.8733, recall: 0.7829, relative_absolute_error: 0.7223, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.8303, scimark_benchmark: 1840.6995, usercpu_time_millis: 5.73, usercpu_time_millis_testing: 0.474, usercpu_time_millis_training: 5.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.8939, kappa: 0.7432, kb_relative_information_score: 2997.0058, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8936, predictive_accuracy: 0.8943, prior_entropy: 0.8733, recall: 0.8943, relative_absolute_error: 0.4644, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2842, root_relative_squared_error: 0.6241, scimark_benchmark: 1719.1409, usercpu_time_millis: 40.213, usercpu_time_millis_testing: 3.812, usercpu_time_millis_training: 36.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7762, kappa: 0.4549, kb_relative_information_score: 1043.5539, mean_absolute_error: 0.3363, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7744, predictive_accuracy: 0.7787, prior_entropy: 0.8733, recall: 0.7787, relative_absolute_error: 0.8109, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.8698, scimark_benchmark: 1827.287, usercpu_time_millis: 5.859, usercpu_time_millis_testing: 0.618, usercpu_time_millis_training: 5.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, f_measure: 0.7666, kappa: 0.4189, kb_relative_information_score: 1298.4398, mean_absolute_error: 0.3189, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7667, predictive_accuracy: 0.7779, prior_entropy: 0.8733, recall: 0.7779, relative_absolute_error: 0.769, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3794, root_relative_squared_error: 0.8333, scimark_benchmark: 1854.4951, usercpu_time_millis: 3.237, usercpu_time_millis_testing: 0.372, usercpu_time_millis_training: 2.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.7741, kappa: 0.4597, kb_relative_information_score: 1062.0914, mean_absolute_error: 0.3334, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7762, predictive_accuracy: 0.7724, prior_entropy: 0.8733, recall: 0.7724, relative_absolute_error: 0.8038, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.8778, scimark_benchmark: 1857.6942, usercpu_time_millis: 2.064, usercpu_time_millis_testing: 0.148, usercpu_time_millis_training: 1.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.7795, kappa: 0.4681, kb_relative_information_score: 1570.7495, mean_absolute_error: 0.2887, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7794, predictive_accuracy: 0.7796, prior_entropy: 0.8733, recall: 0.7796, relative_absolute_error: 0.6961, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.8234, scimark_benchmark: 1841.1577, usercpu_time_millis: 1.838, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 1.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.8496, kappa: 0.6335, kb_relative_information_score: 2246.0694, mean_absolute_error: 0.2437, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8488, predictive_accuracy: 0.8514, prior_entropy: 0.8733, recall: 0.8514, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.7327, scimark_benchmark: 1826.8288, usercpu_time_millis: 12.073, usercpu_time_millis_testing: 0.426, usercpu_time_millis_training: 11.647,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.585, kb_relative_information_score: 0.0916, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1834.698, usercpu_time_millis: 2.43, usercpu_time_millis_testing: 0.497, usercpu_time_millis_training: 1.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.8985, kappa: 0.7541, kb_relative_information_score: 3085.298, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8982, predictive_accuracy: 0.899, prior_entropy: 0.8733, recall: 0.899, relative_absolute_error: 0.4478, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2791, root_relative_squared_error: 0.6128, scimark_benchmark: 1830.7134, usercpu_time_millis: 11.452, usercpu_time_millis_testing: 0.869, usercpu_time_millis_training: 10.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.585, kb_relative_information_score: 0.3232, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.4992, predictive_accuracy: 0.7065, prior_entropy: 0.8733, recall: 0.7065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4554, root_relative_squared_error: 1, scimark_benchmark: 1834.2399, usercpu_time_millis: 0.741, usercpu_time_millis_testing: 0.128, usercpu_time_millis_training: 0.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.8846, kappa: 0.7213, kb_relative_information_score: 3006.3455, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8844, predictive_accuracy: 0.8847, prior_entropy: 0.8733, recall: 0.8847, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.291, root_relative_squared_error: 0.6391, scimark_benchmark: 1852.4008, usercpu_time_millis: 36.526, usercpu_time_millis_testing: 1.31, usercpu_time_millis_training: 35.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.8338, kappa: 0.5916, kb_relative_information_score: 2053.7767, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8334, predictive_accuracy: 0.8377, prior_entropy: 0.8733, recall: 0.8377, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.7452, scimark_benchmark: 1853.9121, usercpu_time_millis: 29.642, usercpu_time_millis_testing: 2.239, usercpu_time_millis_training: 27.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8121, kappa: 0.5417, kb_relative_information_score: 1838.3361, mean_absolute_error: 0.2737, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8108, predictive_accuracy: 0.8146, prior_entropy: 0.8733, recall: 0.8146, relative_absolute_error: 0.66, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.7767, scimark_benchmark: 1841.6886, usercpu_time_millis: 20.762, usercpu_time_millis_testing: 1.745, usercpu_time_millis_training: 19.017,

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