Task
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 145804 Supervised Classification tic-tac-toe 270274 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.5165, kb_relative_information_score: 0.1823, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1369.9251, usercpu_time_millis: 2.094, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 1.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4958, f_measure: 0.5165, kb_relative_information_score: 0.2879, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1378.2343, usercpu_time_millis: 1.493, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 1.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.8995, kappa: 0.7732, kb_relative_information_score: 514.1416, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9163, predictive_accuracy: 0.904, prior_entropy: 0.9312, recall: 0.904, relative_absolute_error: 0.5268, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.5957, scimark_benchmark: 1370.268, usercpu_time_millis: 1.116, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 0.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7845, f_measure: 0.6596, kappa: 0.2536, kb_relative_information_score: 114.4145, mean_absolute_error: 0.4083, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7884, predictive_accuracy: 0.7234, prior_entropy: 0.9312, recall: 0.7234, relative_absolute_error: 0.9014, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.9187, scimark_benchmark: 1381.1104, usercpu_time_millis: 0.508, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9201, kappa: 0.82, kb_relative_information_score: 552.4811, mean_absolute_error: 0.2216, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9309, predictive_accuracy: 0.9228, prior_entropy: 0.9312, recall: 0.9228, relative_absolute_error: 0.4892, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.265, root_relative_squared_error: 0.5568, scimark_benchmark: 1374.4753, usercpu_time_millis: 5.787, usercpu_time_millis_testing: 0.651, usercpu_time_millis_training: 5.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8264, kappa: 0.6075, kb_relative_information_score: 368.6203, mean_absolute_error: 0.2999, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8723, predictive_accuracy: 0.8413, prior_entropy: 0.9312, recall: 0.8413, relative_absolute_error: 0.6621, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.7329, scimark_benchmark: 1372.6545, usercpu_time_millis: 0.812, usercpu_time_millis_testing: 0.111, usercpu_time_millis_training: 0.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.6942, kappa: 0.3191, kb_relative_information_score: 186.2537, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6922, predictive_accuracy: 0.6973, prior_entropy: 0.9312, recall: 0.6973, relative_absolute_error: 0.8066, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.873, scimark_benchmark: 1377.0654, usercpu_time_millis: 1.017, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 0.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.7477, kappa: 0.4317, kb_relative_information_score: 216.6855, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8007, predictive_accuracy: 0.7756, prior_entropy: 0.9312, recall: 0.7756, relative_absolute_error: 0.7974, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8349, scimark_benchmark: 1365.7119, usercpu_time_millis: 3.039, usercpu_time_millis_testing: 0.405, usercpu_time_millis_training: 2.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, f_measure: 0.7344, kappa: 0.3991, kb_relative_information_score: 234.3272, mean_absolute_error: 0.3485, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7517, predictive_accuracy: 0.7537, prior_entropy: 0.9312, recall: 0.7537, relative_absolute_error: 0.7693, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.826, scimark_benchmark: 1367.2616, usercpu_time_millis: 0.651, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.8867, kappa: 0.744, kb_relative_information_score: 505.2708, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9077, predictive_accuracy: 0.8925, prior_entropy: 0.9312, recall: 0.8925, relative_absolute_error: 0.5366, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.6024, scimark_benchmark: 1371.3721, usercpu_time_millis: 5.425, usercpu_time_millis_testing: 0.931, usercpu_time_millis_training: 4.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 737.9881, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9312, recall: 0.9927, relative_absolute_error: 0.2808, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.175, root_relative_squared_error: 0.3678, scimark_benchmark: 1367.0984, usercpu_time_millis: 3.98, usercpu_time_millis_testing: 0.559, usercpu_time_millis_training: 3.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.829, kappa: 0.6133, kb_relative_information_score: 431.7712, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8737, predictive_accuracy: 0.8434, prior_entropy: 0.9312, recall: 0.8434, relative_absolute_error: 0.589, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.6949, scimark_benchmark: 1373.1563, usercpu_time_millis: 2.366, usercpu_time_millis_testing: 0.243, usercpu_time_millis_training: 2.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.7877, kappa: 0.5211, kb_relative_information_score: 345.2058, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7944, predictive_accuracy: 0.7965, prior_entropy: 0.9312, recall: 0.7965, relative_absolute_error: 0.6442, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7522, scimark_benchmark: 1371.0164, usercpu_time_millis: 1.316, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 1.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9853, kappa: 0.9674, kb_relative_information_score: 622.1773, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9857, predictive_accuracy: 0.9854, prior_entropy: 0.9312, recall: 0.9854, relative_absolute_error: 0.4145, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2333, root_relative_squared_error: 0.4904, scimark_benchmark: 1378.0531, usercpu_time_millis: 3.048, usercpu_time_millis_testing: 0.351, usercpu_time_millis_training: 2.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.6912, kappa: 0.3181, kb_relative_information_score: 182.7287, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8126, predictive_accuracy: 0.7443, prior_entropy: 0.9312, recall: 0.7443, relative_absolute_error: 0.852, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.8635, scimark_benchmark: 1370.0324, usercpu_time_millis: 1.534, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 1.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7728, f_measure: 0.6917, kappa: 0.3187, kb_relative_information_score: 115.8801, mean_absolute_error: 0.4026, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6914, predictive_accuracy: 0.6921, prior_entropy: 0.9312, recall: 0.6921, relative_absolute_error: 0.8886, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.9243, scimark_benchmark: 1362.7932, usercpu_time_millis: 1.02, usercpu_time_millis_testing: 0.152, usercpu_time_millis_training: 0.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 638.3149, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 0.9312, recall: 0.9916, relative_absolute_error: 0.4035, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.4616, scimark_benchmark: 1373.8123, usercpu_time_millis: 6.555, usercpu_time_millis_testing: 0.915, usercpu_time_millis_training: 5.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9821, kappa: 0.9603, kb_relative_information_score: 680.8217, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9827, predictive_accuracy: 0.9823, prior_entropy: 0.9312, recall: 0.9823, relative_absolute_error: 0.3417, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2144, root_relative_squared_error: 0.4505, scimark_benchmark: 1373.1549, usercpu_time_millis: 5, usercpu_time_millis_testing: 0.679, usercpu_time_millis_training: 4.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, f_measure: 0.5165, kb_relative_information_score: -0.5852, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1375.0587, usercpu_time_millis: 0.849, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 0.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.7297, kappa: 0.3973, kb_relative_information_score: 232.6662, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8268, predictive_accuracy: 0.7693, prior_entropy: 0.9312, recall: 0.7693, relative_absolute_error: 0.8068, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3914, root_relative_squared_error: 0.8226, scimark_benchmark: 1369.2113, usercpu_time_millis: 0.691, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 0.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.8902, kappa: 0.752, kb_relative_information_score: 510.2218, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.91, predictive_accuracy: 0.8956, prior_entropy: 0.9312, recall: 0.8956, relative_absolute_error: 0.5316, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2846, root_relative_squared_error: 0.598, scimark_benchmark: 1370.4835, usercpu_time_millis: 4.217, usercpu_time_millis_testing: 0.497, usercpu_time_millis_training: 3.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.7191, kappa: 0.3646, kb_relative_information_score: 188.1713, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7374, predictive_accuracy: 0.7411, prior_entropy: 0.9312, recall: 0.7411, relative_absolute_error: 0.8172, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.41, root_relative_squared_error: 0.8617, scimark_benchmark: 1365.0927, usercpu_time_millis: 1.804, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 1.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9412, kappa: 0.8681, kb_relative_information_score: 482.5994, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9472, predictive_accuracy: 0.9426, prior_entropy: 0.9312, recall: 0.9426, relative_absolute_error: 0.5412, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.302, root_relative_squared_error: 0.6347, scimark_benchmark: 1369.8174, usercpu_time_millis: 1.762, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 1.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.5165, kb_relative_information_score: -0.0464, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1368.7511, usercpu_time_millis: 1.648, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 1.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9937, kappa: 0.9861, kb_relative_information_score: 781.2129, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9938, predictive_accuracy: 0.9937, prior_entropy: 0.9312, recall: 0.9937, relative_absolute_error: 0.2291, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1506, root_relative_squared_error: 0.3164, scimark_benchmark: 1370.644, usercpu_time_millis: 6.868, usercpu_time_millis_testing: 0.995, usercpu_time_millis_training: 5.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7639, f_measure: 0.5165, kb_relative_information_score: 48.4533, mean_absolute_error: 0.4333, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9565, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4571, root_relative_squared_error: 0.9606, scimark_benchmark: 1361.4367, usercpu_time_millis: 1.606, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 1.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9173, kappa: 0.8143, kb_relative_information_score: 432.3094, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9246, predictive_accuracy: 0.9196, prior_entropy: 0.9312, recall: 0.9196, relative_absolute_error: 0.6147, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3139, root_relative_squared_error: 0.6597, scimark_benchmark: 1368.3197, usercpu_time_millis: 3.541, usercpu_time_millis_testing: 0.507, usercpu_time_millis_training: 3.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.979, kappa: 0.9533, kb_relative_information_score: 505.0257, mean_absolute_error: 0.2495, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9796, predictive_accuracy: 0.9791, prior_entropy: 0.9312, recall: 0.9791, relative_absolute_error: 0.5508, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.5878, scimark_benchmark: 1365.3773, usercpu_time_millis: 7.813, usercpu_time_millis_testing: 1.096, usercpu_time_millis_training: 6.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7687, f_measure: 0.5165, kb_relative_information_score: 42.212, mean_absolute_error: 0.4364, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9633, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9663, scimark_benchmark: 1375.5579, usercpu_time_millis: 1.065, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 0.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.5165, kb_relative_information_score: 0.0714, mean_absolute_error: 0.4527, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1361.5982, usercpu_time_millis: 0.177, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7797, f_measure: 0.5165, kb_relative_information_score: 61.3005, mean_absolute_error: 0.4303, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9498, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9544, scimark_benchmark: 1374.5645, usercpu_time_millis: 2.235, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 1.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.8645, kappa: 0.6938, kb_relative_information_score: 377.0228, mean_absolute_error: 0.2982, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8844, predictive_accuracy: 0.8716, prior_entropy: 0.9312, recall: 0.8716, relative_absolute_error: 0.6582, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.7101, scimark_benchmark: 1370.1395, usercpu_time_millis: 3.517, usercpu_time_millis_testing: 0.497, usercpu_time_millis_training: 3.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9212, kappa: 0.8226, kb_relative_information_score: 596.4762, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9318, predictive_accuracy: 0.9238, prior_entropy: 0.9312, recall: 0.9238, relative_absolute_error: 0.4371, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.5223, scimark_benchmark: 1361.3049, usercpu_time_millis: 4.731, usercpu_time_millis_testing: 0.63, usercpu_time_millis_training: 4.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5012, f_measure: 0.5165, kb_relative_information_score: -0.3243, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1376.0694, usercpu_time_millis: 1.761, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 1.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, f_measure: 0.6786, kappa: 0.2793, kb_relative_information_score: 99.6267, mean_absolute_error: 0.4111, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6756, predictive_accuracy: 0.6858, prior_entropy: 0.9312, recall: 0.6858, relative_absolute_error: 0.9075, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.9392, scimark_benchmark: 1366.28, usercpu_time_millis: 1.647, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 1.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.7052, kappa: 0.3331, kb_relative_information_score: 174.8251, mean_absolute_error: 0.3757, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7143, predictive_accuracy: 0.7244, prior_entropy: 0.9312, recall: 0.7244, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.8741, scimark_benchmark: 1367.6704, usercpu_time_millis: 0.866, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 0.748,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 775.5851, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.2326, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.3387, scimark_benchmark: 1368.1025, usercpu_time_millis: 2.563, usercpu_time_millis_testing: 0.234, usercpu_time_millis_training: 2.329,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.8577, kappa: 0.6781, kb_relative_information_score: 398.4183, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8839, predictive_accuracy: 0.8664, prior_entropy: 0.9312, recall: 0.8664, relative_absolute_error: 0.6433, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.6949, scimark_benchmark: 1373.585, usercpu_time_millis: 4.928, usercpu_time_millis_testing: 0.793, usercpu_time_millis_training: 4.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.7343, kappa: 0.407, kb_relative_information_score: 220.6022, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8286, predictive_accuracy: 0.7724, prior_entropy: 0.9312, recall: 0.7724, relative_absolute_error: 0.8192, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.8345, scimark_benchmark: 1369.9439, usercpu_time_millis: 5.495, usercpu_time_millis_testing: 0.868, usercpu_time_millis_training: 4.627,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.8736, kappa: 0.7142, kb_relative_information_score: 492.5887, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8993, predictive_accuracy: 0.881, prior_entropy: 0.9312, recall: 0.881, relative_absolute_error: 0.5318, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3017, root_relative_squared_error: 0.634, scimark_benchmark: 1371.6893, usercpu_time_millis: 2.579, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 2.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.8238, kappa: 0.6017, kb_relative_information_score: 390.3876, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.871, predictive_accuracy: 0.8392, prior_entropy: 0.9312, recall: 0.8392, relative_absolute_error: 0.6385, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.7179, scimark_benchmark: 1367.7934, usercpu_time_millis: 1.465, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 1.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.804, kappa: 0.5741, kb_relative_information_score: 382.6268, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8092, predictive_accuracy: 0.8017, prior_entropy: 0.9312, recall: 0.8017, relative_absolute_error: 0.5986, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3517, root_relative_squared_error: 0.7391, scimark_benchmark: 1377.0839, usercpu_time_millis: 0.334, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.294,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.8926, kappa: 0.7573, kb_relative_information_score: 501.8165, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9116, predictive_accuracy: 0.8977, prior_entropy: 0.9312, recall: 0.8977, relative_absolute_error: 0.542, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.6038, scimark_benchmark: 1368.5717, usercpu_time_millis: 4.378, usercpu_time_millis_testing: 0.486, usercpu_time_millis_training: 3.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.8254, kappa: 0.6051, kb_relative_information_score: 345.2356, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8579, predictive_accuracy: 0.8382, prior_entropy: 0.9312, recall: 0.8382, relative_absolute_error: 0.6768, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.7378, scimark_benchmark: 1370.0586, usercpu_time_millis: 2.413, usercpu_time_millis_testing: 0.255, usercpu_time_millis_training: 2.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 717.0506, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 0.9312, recall: 0.9916, relative_absolute_error: 0.3083, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.3874, scimark_benchmark: 1375.3689, usercpu_time_millis: 4.664, usercpu_time_millis_testing: 0.483, usercpu_time_millis_training: 4.181,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9434, kappa: 0.8731, kb_relative_information_score: 568.7655, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.949, predictive_accuracy: 0.9447, prior_entropy: 0.9312, recall: 0.9447, relative_absolute_error: 0.4747, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2553, root_relative_squared_error: 0.5364, scimark_benchmark: 1373.6859, usercpu_time_millis: 8.046, usercpu_time_millis_testing: 0.852, usercpu_time_millis_training: 7.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9779, kappa: 0.9509, kb_relative_information_score: 487.4031, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9786, predictive_accuracy: 0.9781, prior_entropy: 0.9312, recall: 0.9781, relative_absolute_error: 0.5673, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.6057, scimark_benchmark: 1374.863, usercpu_time_millis: 7.495, usercpu_time_millis_testing: 0.735, usercpu_time_millis_training: 6.76,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.7181, kappa: 0.3735, kb_relative_information_score: 203.3112, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8255, predictive_accuracy: 0.762, prior_entropy: 0.9312, recall: 0.762, relative_absolute_error: 0.8343, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.8473, scimark_benchmark: 1375.5737, usercpu_time_millis: 3.411, usercpu_time_millis_testing: 0.365, usercpu_time_millis_training: 3.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9554, kappa: 0.9002, kb_relative_information_score: 653.9695, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9589, predictive_accuracy: 0.9562, prior_entropy: 0.9312, recall: 0.9562, relative_absolute_error: 0.3722, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2231, root_relative_squared_error: 0.4688, scimark_benchmark: 1370.7209, usercpu_time_millis: 3.127, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 2.844,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9895, kappa: 0.9768, kb_relative_information_score: 640.422, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9897, predictive_accuracy: 0.9896, prior_entropy: 0.9312, recall: 0.9896, relative_absolute_error: 0.3959, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.223, root_relative_squared_error: 0.4687, scimark_benchmark: 1869.7524, usercpu_time_millis: 1.942, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 1.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 656.1931, mean_absolute_error: 0.1709, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.3772, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.4564, scimark_benchmark: 1869.2273, usercpu_time_millis: 6.58, usercpu_time_millis_testing: 0.726, usercpu_time_millis_training: 5.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.7343, kappa: 0.407, kb_relative_information_score: 229.1211, mean_absolute_error: 0.3671, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8286, predictive_accuracy: 0.7724, prior_entropy: 0.9312, recall: 0.7724, relative_absolute_error: 0.8104, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.8251, scimark_benchmark: 1873.4078, usercpu_time_millis: 3.555, usercpu_time_millis_testing: 0.418, usercpu_time_millis_training: 3.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7253, kappa: 0.3813, kb_relative_information_score: 272.5902, mean_absolute_error: 0.3236, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7259, predictive_accuracy: 0.7349, prior_entropy: 0.9312, recall: 0.7349, relative_absolute_error: 0.7144, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.384, root_relative_squared_error: 0.8069, scimark_benchmark: 1872.4881, usercpu_time_millis: 0.403, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9843, kappa: 0.9653, kb_relative_information_score: 849.9873, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9844, predictive_accuracy: 0.9843, prior_entropy: 0.9312, recall: 0.9843, relative_absolute_error: 0.1317, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.2799, scimark_benchmark: 1867.725, usercpu_time_millis: 4.837, usercpu_time_millis_testing: 0.434, usercpu_time_millis_training: 4.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9694, kappa: 0.9318, kb_relative_information_score: 701.4502, mean_absolute_error: 0.1454, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9711, predictive_accuracy: 0.9697, prior_entropy: 0.9312, recall: 0.9697, relative_absolute_error: 0.3209, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.4169, scimark_benchmark: 1864.5074, usercpu_time_millis: 4.26, usercpu_time_millis_testing: 0.369, usercpu_time_millis_training: 3.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9885, kappa: 0.9744, kb_relative_information_score: 663.2049, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9887, predictive_accuracy: 0.9885, prior_entropy: 0.9312, recall: 0.9885, relative_absolute_error: 0.3682, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.4504, scimark_benchmark: 1871.1262, usercpu_time_millis: 1.629, usercpu_time_millis_testing: 0.151, usercpu_time_millis_training: 1.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.676, kappa: 0.2876, kb_relative_information_score: 174.6293, mean_absolute_error: 0.3869, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8074, predictive_accuracy: 0.7349, prior_entropy: 0.9312, recall: 0.7349, relative_absolute_error: 0.854, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8666, scimark_benchmark: 1868.2531, usercpu_time_millis: 1.326, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 1.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, f_measure: 0.6996, kappa: 0.3215, kb_relative_information_score: 248.4645, mean_absolute_error: 0.3357, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7018, predictive_accuracy: 0.714, prior_entropy: 0.9312, recall: 0.714, relative_absolute_error: 0.7411, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.8207, scimark_benchmark: 1869.8223, usercpu_time_millis: 1.812, usercpu_time_millis_testing: 0.197, usercpu_time_millis_training: 1.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8061, f_measure: 0.6952, kappa: 0.3117, kb_relative_information_score: 136.9204, mean_absolute_error: 0.3927, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7198, predictive_accuracy: 0.7244, prior_entropy: 0.9312, recall: 0.7244, relative_absolute_error: 0.8668, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8999, scimark_benchmark: 1860.9838, usercpu_time_millis: 1.795, usercpu_time_millis_testing: 0.232, usercpu_time_millis_training: 1.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.7852, kappa: 0.5163, kb_relative_information_score: 274.851, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8503, predictive_accuracy: 0.809, prior_entropy: 0.9312, recall: 0.809, relative_absolute_error: 0.7727, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7888, scimark_benchmark: 1867.725, usercpu_time_millis: 3.706, usercpu_time_millis_testing: 0.439, usercpu_time_millis_training: 3.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.6952, kappa: 0.323, kb_relative_information_score: 148.8622, mean_absolute_error: 0.3863, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6936, predictive_accuracy: 0.6973, prior_entropy: 0.9312, recall: 0.6973, relative_absolute_error: 0.8527, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.8968, scimark_benchmark: 1872.0299, usercpu_time_millis: 1.812, usercpu_time_millis_testing: 0.232, usercpu_time_millis_training: 1.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7219, f_measure: 0.5165, kb_relative_information_score: 22.6889, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.981, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4674, root_relative_squared_error: 0.9821, scimark_benchmark: 1868.7112, usercpu_time_millis: 1.487, usercpu_time_millis_testing: 0.229, usercpu_time_millis_training: 1.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7718, f_measure: 0.5165, kb_relative_information_score: 54.4966, mean_absolute_error: 0.4308, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.951, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9563, scimark_benchmark: 1865.6214, usercpu_time_millis: 2.123, usercpu_time_millis_testing: 0.318, usercpu_time_millis_training: 1.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 606.5064, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9312, recall: 0.9927, relative_absolute_error: 0.4415, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.488, scimark_benchmark: 1773.0345, usercpu_time_millis: 2.713, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 2.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.8097, kappa: 0.5696, kb_relative_information_score: 313.2352, mean_absolute_error: 0.3224, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8444, predictive_accuracy: 0.8246, prior_entropy: 0.9312, recall: 0.8246, relative_absolute_error: 0.7116, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.7614, scimark_benchmark: 1871.9601, usercpu_time_millis: 3.943, usercpu_time_millis_testing: 0.47, usercpu_time_millis_training: 3.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.8555, kappa: 0.6734, kb_relative_information_score: 422.2014, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8754, predictive_accuracy: 0.8633, prior_entropy: 0.9312, recall: 0.8633, relative_absolute_error: 0.6121, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.326, root_relative_squared_error: 0.685, scimark_benchmark: 1869.8223, usercpu_time_millis: 0.242, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 0.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5165, kb_relative_information_score: 0.1634, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1860.0075, usercpu_time_millis: 1.241, usercpu_time_millis_testing: 0.202, usercpu_time_millis_training: 1.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7344, f_measure: 0.7073, kappa: 0.3404, kb_relative_information_score: 119.4712, mean_absolute_error: 0.4002, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7074, predictive_accuracy: 0.7182, prior_entropy: 0.9312, recall: 0.7182, relative_absolute_error: 0.8834, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4421, root_relative_squared_error: 0.929, scimark_benchmark: 1860.0075, usercpu_time_millis: 0.743, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 0.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4973, f_measure: 0.5165, kb_relative_information_score: 0.0023, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1869.8223, usercpu_time_millis: 1.068, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 0.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7406, f_measure: 0.5165, kb_relative_information_score: 32.2268, mean_absolute_error: 0.4409, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9732, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4641, root_relative_squared_error: 0.9752, scimark_benchmark: 1867.725, usercpu_time_millis: 2.145, usercpu_time_millis_testing: 0.355, usercpu_time_millis_training: 1.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7518, f_measure: 0.5982, kappa: 0.1354, kb_relative_information_score: 89.0502, mean_absolute_error: 0.4161, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7441, predictive_accuracy: 0.6879, prior_entropy: 0.9312, recall: 0.6879, relative_absolute_error: 0.9184, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.9405, scimark_benchmark: 1866.2865, usercpu_time_millis: 1.853, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 1.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5165, kb_relative_information_score: 0.2071, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1855.7733, usercpu_time_millis: 0.932, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 0.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9811, kappa: 0.9582, kb_relative_information_score: 580.6417, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9814, predictive_accuracy: 0.9812, prior_entropy: 0.9312, recall: 0.9812, relative_absolute_error: 0.4582, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.5325, scimark_benchmark: 1857.7941, usercpu_time_millis: 0.663, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 0.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4968, f_measure: 0.5165, kb_relative_information_score: -0.4748, mean_absolute_error: 0.4531, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1856.7467, usercpu_time_millis: 0.776, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 0.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.5165, kb_relative_information_score: -0.2665, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1860.0075, usercpu_time_millis: 0.601, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7276, kappa: 0.3917, kb_relative_information_score: 155.868, mean_absolute_error: 0.3923, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.815, predictive_accuracy: 0.7662, prior_entropy: 0.9312, recall: 0.7662, relative_absolute_error: 0.866, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4237, root_relative_squared_error: 0.8903, scimark_benchmark: 1242.0208, usercpu_time_millis: 2.854, usercpu_time_millis_testing: 0.57, usercpu_time_millis_training: 2.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5165, kb_relative_information_score: 0.3442, mean_absolute_error: 0.4528, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1271.7574, usercpu_time_millis: 0.467, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 0.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.6943, kappa: 0.3252, kb_relative_information_score: 162.7622, mean_absolute_error: 0.3785, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6944, predictive_accuracy: 0.6942, prior_entropy: 0.9312, recall: 0.6942, relative_absolute_error: 0.8356, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8866, scimark_benchmark: 1248.2678, usercpu_time_millis: 2.607, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 2.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.7738, kappa: 0.4896, kb_relative_information_score: 274.5356, mean_absolute_error: 0.338, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8228, predictive_accuracy: 0.7965, prior_entropy: 0.9312, recall: 0.7965, relative_absolute_error: 0.746, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3761, root_relative_squared_error: 0.7904, scimark_benchmark: 1235.6515, usercpu_time_millis: 1.332, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 1.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.7465, kappa: 0.4264, kb_relative_information_score: 277.1499, mean_absolute_error: 0.3267, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7638, predictive_accuracy: 0.7641, prior_entropy: 0.9312, recall: 0.7641, relative_absolute_error: 0.7212, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.378, root_relative_squared_error: 0.7944, scimark_benchmark: 1207.5045, usercpu_time_millis: 3.485, usercpu_time_millis_testing: 0.543, usercpu_time_millis_training: 2.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9489, kappa: 0.8855, kb_relative_information_score: 648.8728, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9535, predictive_accuracy: 0.9499, prior_entropy: 0.9312, recall: 0.9499, relative_absolute_error: 0.3812, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.4693, scimark_benchmark: 1160.1562, usercpu_time_millis: 9.169, usercpu_time_millis_testing: 1.353, usercpu_time_millis_training: 7.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9565, kappa: 0.9027, kb_relative_information_score: 661.1568, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9598, predictive_accuracy: 0.9572, prior_entropy: 0.9312, recall: 0.9572, relative_absolute_error: 0.3671, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.4577, scimark_benchmark: 1114.357, usercpu_time_millis: 5.259, usercpu_time_millis_testing: 0.685, usercpu_time_millis_training: 4.574,

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