Task
Supervised Classification on hutsof99_child_witness

Supervised Classification on hutsof99_child_witness

Task 3790 Supervised Classification hutsof99_child_witness 112 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 under100k under1m
Issue #Downvotes for this reason By


Metric:

112 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5918, f_measure: 0.6357, kappa: 0.2373, kb_relative_information_score: 7.7537, mean_absolute_error: 0.3907, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.6352, predictive_accuracy: 0.6429, prior_entropy: 0.976, recall: 0.6429, relative_absolute_error: 0.8095, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.1703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5529, f_measure: 0.5494, kappa: 0.1192, kb_relative_information_score: 1.6031, mean_absolute_error: 0.4599, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.5823, predictive_accuracy: 0.5476, prior_entropy: 0.976, recall: 0.5476, relative_absolute_error: 0.9528, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.5382, root_relative_squared_error: 1.0964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7435, f_measure: 0.7109, kappa: 0.3957, kb_relative_information_score: 11.0261, mean_absolute_error: 0.3689, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7108, predictive_accuracy: 0.7143, prior_entropy: 0.976, recall: 0.7143, relative_absolute_error: 0.7643, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4452, root_relative_squared_error: 0.9069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7529, f_measure: 0.7619, kappa: 0.5059, kb_relative_information_score: 20.9129, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7619, predictive_accuracy: 0.7619, prior_entropy: 0.976, recall: 0.7619, relative_absolute_error: 0.4933, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.488, root_relative_squared_error: 0.9941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.669, kappa: 0.321, kb_relative_information_score: 8.2289, mean_absolute_error: 0.3889, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.6743, predictive_accuracy: 0.6667, prior_entropy: 0.976, recall: 0.6667, relative_absolute_error: 0.8058, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.5015, root_relative_squared_error: 1.0217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, f_measure: 0.7109, kappa: 0.3957, kb_relative_information_score: 11.9182, mean_absolute_error: 0.3508, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7108, predictive_accuracy: 0.7143, prior_entropy: 0.976, recall: 0.7143, relative_absolute_error: 0.7268, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.5083, root_relative_squared_error: 1.0354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6153, f_measure: 0.6357, kappa: 0.2373, kb_relative_information_score: 6.9581, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.6352, predictive_accuracy: 0.6429, prior_entropy: 0.976, recall: 0.6429, relative_absolute_error: 0.8448, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.506, root_relative_squared_error: 1.0308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, f_measure: 0.7866, kappa: 0.5594, kb_relative_information_score: 20.5889, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7884, predictive_accuracy: 0.7857, prior_entropy: 0.976, recall: 0.7857, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.8949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6941, f_measure: 0.7109, kappa: 0.3957, kb_relative_information_score: 14.5513, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7108, predictive_accuracy: 0.7143, prior_entropy: 0.976, recall: 0.7143, relative_absolute_error: 0.6637, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4788, root_relative_squared_error: 0.9754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7529, f_measure: 0.7109, kappa: 0.3957, kb_relative_information_score: 12.5484, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7108, predictive_accuracy: 0.7143, prior_entropy: 0.976, recall: 0.7143, relative_absolute_error: 0.7183, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.9058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.8095, kappa: 0.6047, kb_relative_information_score: 19.5883, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.8095, predictive_accuracy: 0.8095, prior_entropy: 0.976, recall: 0.8095, relative_absolute_error: 0.5478, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.425, root_relative_squared_error: 0.8657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7329, f_measure: 0.619, kappa: 0.2094, kb_relative_information_score: 10.4382, mean_absolute_error: 0.3567, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.619, predictive_accuracy: 0.619, prior_entropy: 0.976, recall: 0.619, relative_absolute_error: 0.7389, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4811, root_relative_squared_error: 0.9801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.6145, kappa: 0.1942, kb_relative_information_score: 8.9167, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.6127, predictive_accuracy: 0.619, prior_entropy: 0.976, recall: 0.619, relative_absolute_error: 0.7723, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.6047, root_relative_squared_error: 1.2319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7353, f_measure: 0.7619, kappa: 0.5059, kb_relative_information_score: 17.0266, mean_absolute_error: 0.2932, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7619, predictive_accuracy: 0.7619, prior_entropy: 0.976, recall: 0.7619, relative_absolute_error: 0.6074, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7035, f_measure: 0.5969, kappa: 0.1678, kb_relative_information_score: 9.0483, mean_absolute_error: 0.3757, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.5992, predictive_accuracy: 0.5952, prior_entropy: 0.976, recall: 0.5952, relative_absolute_error: 0.7784, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4786, root_relative_squared_error: 0.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.7846, kappa: 0.5511, kb_relative_information_score: 23.4634, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7843, predictive_accuracy: 0.7857, prior_entropy: 0.976, recall: 0.7857, relative_absolute_error: 0.4326, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.445, root_relative_squared_error: 0.9065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.6888, kappa: 0.3515, kb_relative_information_score: 15.3118, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.688, predictive_accuracy: 0.6905, prior_entropy: 0.976, recall: 0.6905, relative_absolute_error: 0.6323, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4439, root_relative_squared_error: 0.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7494, f_measure: 0.759, kappa: 0.4964, kb_relative_information_score: 11.7265, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7598, predictive_accuracy: 0.7619, prior_entropy: 0.976, recall: 0.7619, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.439, root_relative_squared_error: 0.8943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.6888, kappa: 0.3515, kb_relative_information_score: 15.3118, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.688, predictive_accuracy: 0.6905, prior_entropy: 0.976, recall: 0.6905, relative_absolute_error: 0.6323, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4439, root_relative_squared_error: 0.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, f_measure: 0.7058, kappa: 0.3839, kb_relative_information_score: 15.1484, mean_absolute_error: 0.3095, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7113, predictive_accuracy: 0.7143, prior_entropy: 0.976, recall: 0.7143, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.466, root_relative_squared_error: 0.9493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7106, f_measure: 0.6888, kappa: 0.3515, kb_relative_information_score: 12.1371, mean_absolute_error: 0.3487, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.688, predictive_accuracy: 0.6905, prior_entropy: 0.976, recall: 0.6905, relative_absolute_error: 0.7224, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6659, f_measure: 0.6627, kappa: 0.295, kb_relative_information_score: 5.2624, mean_absolute_error: 0.4297, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.6617, predictive_accuracy: 0.6667, prior_entropy: 0.976, recall: 0.6667, relative_absolute_error: 0.8901, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3847, f_measure: 0.4442, kb_relative_information_score: -0.3468, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.3543, predictive_accuracy: 0.5952, prior_entropy: 0.976, recall: 0.5952, relative_absolute_error: 1.0048, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4933, root_relative_squared_error: 1.0049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, f_measure: 0.8108, kappa: 0.612, kb_relative_information_score: 13.1469, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.8158, predictive_accuracy: 0.8095, prior_entropy: 0.976, recall: 0.8095, relative_absolute_error: 0.7235, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.8905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, f_measure: 0.7109, kappa: 0.3957, kb_relative_information_score: 10.9652, mean_absolute_error: 0.3602, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7108, predictive_accuracy: 0.7143, prior_entropy: 0.976, recall: 0.7143, relative_absolute_error: 0.7462, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4606, root_relative_squared_error: 0.9383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, f_measure: 0.7109, kappa: 0.3957, kb_relative_information_score: 10.9652, mean_absolute_error: 0.3602, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7108, predictive_accuracy: 0.7143, prior_entropy: 0.976, recall: 0.7143, relative_absolute_error: 0.7462, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4606, root_relative_squared_error: 0.9383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7435, f_measure: 0.759, kappa: 0.4964, kb_relative_information_score: 20.9129, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7598, predictive_accuracy: 0.7619, prior_entropy: 0.976, recall: 0.7619, relative_absolute_error: 0.4933, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.488, root_relative_squared_error: 0.9941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7153, f_measure: 0.7417, kappa: 0.4656, kb_relative_information_score: 20.9129, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7927, predictive_accuracy: 0.7619, prior_entropy: 0.976, recall: 0.7619, relative_absolute_error: 0.4933, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.488, root_relative_squared_error: 0.9941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6035, f_measure: 0.6357, kappa: 0.2373, kb_relative_information_score: 9.32, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.6352, predictive_accuracy: 0.6429, prior_entropy: 0.976, recall: 0.6429, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.562, root_relative_squared_error: 1.1448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7741, f_measure: 0.7866, kappa: 0.5594, kb_relative_information_score: 21.2884, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7884, predictive_accuracy: 0.7857, prior_entropy: 0.976, recall: 0.7857, relative_absolute_error: 0.4981, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, f_measure: 0.759, kappa: 0.4964, kb_relative_information_score: 15.7446, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7598, predictive_accuracy: 0.7619, prior_entropy: 0.976, recall: 0.7619, relative_absolute_error: 0.6353, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4451, root_relative_squared_error: 0.9067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, f_measure: 0.834, kappa: 0.6573, kb_relative_information_score: 22.5294, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.8356, predictive_accuracy: 0.8333, prior_entropy: 0.976, recall: 0.8333, relative_absolute_error: 0.4753, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.8587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7529, f_measure: 0.8095, kappa: 0.6047, kb_relative_information_score: 21.0182, mean_absolute_error: 0.2461, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.8095, predictive_accuracy: 0.8095, prior_entropy: 0.976, recall: 0.8095, relative_absolute_error: 0.5098, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.9076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6035, f_measure: 0.6357, kappa: 0.2373, kb_relative_information_score: 9.32, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.6352, predictive_accuracy: 0.6429, prior_entropy: 0.976, recall: 0.6429, relative_absolute_error: 0.7747, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.562, root_relative_squared_error: 1.1448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7153, f_measure: 0.7417, kappa: 0.4656, kb_relative_information_score: 20.9129, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7927, predictive_accuracy: 0.7619, prior_entropy: 0.976, recall: 0.7619, relative_absolute_error: 0.4933, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.488, root_relative_squared_error: 0.9941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7788, f_measure: 0.7866, kappa: 0.5594, kb_relative_information_score: 19.7907, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7884, predictive_accuracy: 0.7857, prior_entropy: 0.976, recall: 0.7857, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.8649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7682, f_measure: 0.6888, kappa: 0.3515, kb_relative_information_score: 11.3748, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.688, predictive_accuracy: 0.6905, prior_entropy: 0.976, recall: 0.6905, relative_absolute_error: 0.7409, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.8934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.7866, kappa: 0.5594, kb_relative_information_score: 20.5602, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7884, predictive_accuracy: 0.7857, prior_entropy: 0.976, recall: 0.7857, relative_absolute_error: 0.5117, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4392, root_relative_squared_error: 0.8948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5929, f_measure: 0.625, kappa: 0.2364, kb_relative_information_score: 3.1094, mean_absolute_error: 0.4515, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.6803, predictive_accuracy: 0.6667, prior_entropy: 0.976, recall: 0.6667, relative_absolute_error: 0.9355, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.482, root_relative_squared_error: 0.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.6584, kappa: 0.2982, kb_relative_information_score: 12.2304, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7062, predictive_accuracy: 0.6905, prior_entropy: 0.976, recall: 0.6905, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4703, root_relative_squared_error: 0.9581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6447, f_measure: 0.6627, kappa: 0.295, kb_relative_information_score: 12.5176, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.6617, predictive_accuracy: 0.6667, prior_entropy: 0.976, recall: 0.6667, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.1762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6541, f_measure: 0.6667, kappa: 0.3082, kb_relative_information_score: 12.5176, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 0.976, recall: 0.6667, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.1762, scimark_benchmark: 1280.301, usercpu_time_millis: 265.625, usercpu_time_millis_training: 265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, f_measure: 0.7846, kappa: 0.5511, kb_relative_information_score: 23.0117, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7843, predictive_accuracy: 0.7857, prior_entropy: 0.976, recall: 0.7857, relative_absolute_error: 0.4439, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4629, root_relative_squared_error: 0.9431, scimark_benchmark: 1280.301, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, f_measure: 0.6694, kappa: 0.3123, kb_relative_information_score: 14.6164, mean_absolute_error: 0.3095, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.6926, predictive_accuracy: 0.6905, prior_entropy: 0.976, recall: 0.6905, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.5563, root_relative_squared_error: 1.1334, scimark_benchmark: 1461.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4442, kb_relative_information_score: 6.2211, mean_absolute_error: 0.4048, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.3543, predictive_accuracy: 0.5952, prior_entropy: 0.976, recall: 0.5952, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.6362, root_relative_squared_error: 1.2961, scimark_benchmark: 1461.2356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7403, kappa: 0.4809, kb_relative_information_score: 18.9935, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7635, predictive_accuracy: 0.7381, prior_entropy: 0.976, recall: 0.7381, relative_absolute_error: 0.5405, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9568, scimark_benchmark: 1787.9841, usercpu_time_millis: 156.25, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7403, kappa: 0.4809, kb_relative_information_score: 18.9935, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7635, predictive_accuracy: 0.7381, prior_entropy: 0.976, recall: 0.7381, relative_absolute_error: 0.5405, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9568, scimark_benchmark: 1402.0971, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4442, kb_relative_information_score: 6.2211, mean_absolute_error: 0.4048, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.3543, predictive_accuracy: 0.5952, prior_entropy: 0.976, recall: 0.5952, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.6362, root_relative_squared_error: 1.2961, scimark_benchmark: 1580.3531, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, f_measure: 0.6694, kappa: 0.3123, kb_relative_information_score: 14.6164, mean_absolute_error: 0.3095, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.6926, predictive_accuracy: 0.6905, prior_entropy: 0.976, recall: 0.6905, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.5563, root_relative_squared_error: 1.1334, scimark_benchmark: 1377.3386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6541, f_measure: 0.6667, kappa: 0.3082, kb_relative_information_score: 12.5176, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.6667, predictive_accuracy: 0.6667, prior_entropy: 0.976, recall: 0.6667, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.1762, scimark_benchmark: 1642.4287, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, f_measure: 0.7846, kappa: 0.5511, kb_relative_information_score: 23.0117, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7843, predictive_accuracy: 0.7857, prior_entropy: 0.976, recall: 0.7857, relative_absolute_error: 0.4439, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4629, root_relative_squared_error: 0.9431, scimark_benchmark: 1577.5662, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, f_measure: 0.7169, kappa: 0.4286, kb_relative_information_score: 17.6343, mean_absolute_error: 0.2732, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7324, predictive_accuracy: 0.7143, prior_entropy: 0.976, recall: 0.7143, relative_absolute_error: 0.566, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.482, root_relative_squared_error: 0.982, scimark_benchmark: 1671.2677, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7529, f_measure: 0.7636, kappa: 0.515, kb_relative_information_score: 15.8322, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7687, predictive_accuracy: 0.7619, prior_entropy: 0.976, recall: 0.7619, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4834, root_relative_squared_error: 0.9848, scimark_benchmark: 1322.6242, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7788, f_measure: 0.7392, kappa: 0.4615, kb_relative_information_score: 15.5252, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7411, predictive_accuracy: 0.7381, prior_entropy: 0.976, recall: 0.7381, relative_absolute_error: 0.6243, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9634, scimark_benchmark: 1060.9535, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.7866, kappa: 0.5594, kb_relative_information_score: 20.5602, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7884, predictive_accuracy: 0.7857, prior_entropy: 0.976, recall: 0.7857, relative_absolute_error: 0.5117, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4392, root_relative_squared_error: 0.8948, scimark_benchmark: 1341.8427, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.7169, kappa: 0.4286, kb_relative_information_score: 18.0611, mean_absolute_error: 0.2695, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7324, predictive_accuracy: 0.7143, prior_entropy: 0.976, recall: 0.7143, relative_absolute_error: 0.5583, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4748, root_relative_squared_error: 0.9673, scimark_benchmark: 1214.5497, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.7866, kappa: 0.5594, kb_relative_information_score: 22.9747, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7884, predictive_accuracy: 0.7857, prior_entropy: 0.976, recall: 0.7857, relative_absolute_error: 0.4459, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4522, root_relative_squared_error: 0.9211, scimark_benchmark: 1314.9349, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7118, f_measure: 0.759, kappa: 0.4964, kb_relative_information_score: 20.0818, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7598, predictive_accuracy: 0.7619, prior_entropy: 0.976, recall: 0.7619, relative_absolute_error: 0.5207, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4762, root_relative_squared_error: 0.9702, scimark_benchmark: 1249.1399, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6541, f_measure: 0.6357, kappa: 0.2373, kb_relative_information_score: 9.8635, mean_absolute_error: 0.3641, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.6352, predictive_accuracy: 0.6429, prior_entropy: 0.976, recall: 0.6429, relative_absolute_error: 0.7543, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.5902, root_relative_squared_error: 1.2024, scimark_benchmark: 1005.6627, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6435, f_measure: 0.6357, kappa: 0.2373, kb_relative_information_score: 8.2564, mean_absolute_error: 0.3893, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.6352, predictive_accuracy: 0.6429, prior_entropy: 0.976, recall: 0.6429, relative_absolute_error: 0.8066, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.5457, root_relative_squared_error: 1.1116, scimark_benchmark: 538.5861, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6847, f_measure: 0.7058, kappa: 0.3839, kb_relative_information_score: 16.7152, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7113, predictive_accuracy: 0.7143, prior_entropy: 0.976, recall: 0.7143, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.0889, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6941, f_measure: 0.7109, kappa: 0.3957, kb_relative_information_score: 16.7152, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7108, predictive_accuracy: 0.7143, prior_entropy: 0.976, recall: 0.7143, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.0889, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6141, f_measure: 0.6217, kappa: 0.224, kb_relative_information_score: 6.9416, mean_absolute_error: 0.4032, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.6271, predictive_accuracy: 0.619, prior_entropy: 0.976, recall: 0.619, relative_absolute_error: 0.8352, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.5284, root_relative_squared_error: 1.0764, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.6843, kappa: 0.339, kb_relative_information_score: 10.7564, mean_absolute_error: 0.3648, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.6854, predictive_accuracy: 0.6905, prior_entropy: 0.976, recall: 0.6905, relative_absolute_error: 0.7557, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4513, root_relative_squared_error: 0.9194, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, f_measure: 0.7866, kappa: 0.5594, kb_relative_information_score: 20.5889, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7884, predictive_accuracy: 0.7857, prior_entropy: 0.976, recall: 0.7857, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.8949, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5918, f_measure: 0.6145, kappa: 0.1942, kb_relative_information_score: 7.6059, mean_absolute_error: 0.3921, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.6127, predictive_accuracy: 0.619, prior_entropy: 0.976, recall: 0.619, relative_absolute_error: 0.8123, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.579, root_relative_squared_error: 1.1797, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.7866, kappa: 0.5594, kb_relative_information_score: 20.5602, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7884, predictive_accuracy: 0.7857, prior_entropy: 0.976, recall: 0.7857, relative_absolute_error: 0.5117, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4392, root_relative_squared_error: 0.8948, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7141, f_measure: 0.7328, kappa: 0.4407, kb_relative_information_score: 18.8141, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7355, predictive_accuracy: 0.7381, prior_entropy: 0.976, recall: 0.7381, relative_absolute_error: 0.5426, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.5118, root_relative_squared_error: 1.0426, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6941, f_measure: 0.7109, kappa: 0.3957, kb_relative_information_score: 16.7152, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7108, predictive_accuracy: 0.7143, prior_entropy: 0.976, recall: 0.7143, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.0889, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.7169, kappa: 0.4286, kb_relative_information_score: 18.0605, mean_absolute_error: 0.2695, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7324, predictive_accuracy: 0.7143, prior_entropy: 0.976, recall: 0.7143, relative_absolute_error: 0.5583, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4748, root_relative_squared_error: 0.9673, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.7866, kappa: 0.5594, kb_relative_information_score: 22.9747, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7884, predictive_accuracy: 0.7857, prior_entropy: 0.976, recall: 0.7857, relative_absolute_error: 0.4459, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4522, root_relative_squared_error: 0.9211, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7118, f_measure: 0.759, kappa: 0.4964, kb_relative_information_score: 20.0818, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7598, predictive_accuracy: 0.7619, prior_entropy: 0.976, recall: 0.7619, relative_absolute_error: 0.5207, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4762, root_relative_squared_error: 0.9702, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6659, f_measure: 0.6357, kappa: 0.2373, kb_relative_information_score: 9.9243, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.6352, predictive_accuracy: 0.6429, prior_entropy: 0.976, recall: 0.6429, relative_absolute_error: 0.7523, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.5896, root_relative_squared_error: 1.2012, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6412, f_measure: 0.6568, kappa: 0.2812, kb_relative_information_score: 9.7926, mean_absolute_error: 0.3736, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.6596, predictive_accuracy: 0.6667, prior_entropy: 0.976, recall: 0.6667, relative_absolute_error: 0.774, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.5215, root_relative_squared_error: 1.0625, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6141, f_measure: 0.6217, kappa: 0.224, kb_relative_information_score: 6.9416, mean_absolute_error: 0.4032, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.6271, predictive_accuracy: 0.619, prior_entropy: 0.976, recall: 0.619, relative_absolute_error: 0.8352, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.5284, root_relative_squared_error: 1.0764, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7659, f_measure: 0.6843, kappa: 0.339, kb_relative_information_score: 11.5852, mean_absolute_error: 0.3569, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.6854, predictive_accuracy: 0.6905, prior_entropy: 0.976, recall: 0.6905, relative_absolute_error: 0.7394, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.9003, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, f_measure: 0.7866, kappa: 0.5594, kb_relative_information_score: 20.5889, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7884, predictive_accuracy: 0.7857, prior_entropy: 0.976, recall: 0.7857, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.8949, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5918, f_measure: 0.6145, kappa: 0.1942, kb_relative_information_score: 7.6059, mean_absolute_error: 0.3921, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.6127, predictive_accuracy: 0.619, prior_entropy: 0.976, recall: 0.619, relative_absolute_error: 0.8123, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.579, root_relative_squared_error: 1.1797, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7871, f_measure: 0.6931, kappa: 0.3753, kb_relative_information_score: 15.6284, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7028, predictive_accuracy: 0.6905, prior_entropy: 0.976, recall: 0.6905, relative_absolute_error: 0.6165, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.5356, root_relative_squared_error: 1.0911, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6741, f_measure: 0.6843, kappa: 0.339, kb_relative_information_score: 11.7398, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.6854, predictive_accuracy: 0.6905, prior_entropy: 0.976, recall: 0.6905, relative_absolute_error: 0.7293, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.022, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, f_measure: 0.6697, kappa: 0.3333, kb_relative_information_score: 13.6594, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.6848, predictive_accuracy: 0.6667, prior_entropy: 0.976, recall: 0.6667, relative_absolute_error: 0.6617, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.5315, root_relative_squared_error: 1.0829, scimark_benchmark: 1834.908, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7694, f_measure: 0.6357, kappa: 0.2373, kb_relative_information_score: 10.2122, mean_absolute_error: 0.3569, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.6352, predictive_accuracy: 0.6429, prior_entropy: 0.976, recall: 0.6429, relative_absolute_error: 0.7394, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.5778, root_relative_squared_error: 1.1771, scimark_benchmark: 1834.908, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7694, f_measure: 0.6357, kappa: 0.2373, kb_relative_information_score: 10.2122, mean_absolute_error: 0.3569, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.6352, predictive_accuracy: 0.6429, prior_entropy: 0.976, recall: 0.6429, relative_absolute_error: 0.7394, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.5778, root_relative_squared_error: 1.1771, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5329, f_measure: 0.4973, kappa: -0.0475, kb_relative_information_score: 1.7184, mean_absolute_error: 0.4545, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.4952, predictive_accuracy: 0.5, prior_entropy: 0.976, recall: 0.5, relative_absolute_error: 0.9417, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.6166, root_relative_squared_error: 1.2562, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4753, f_measure: 0.5787, kappa: 0.1185, kb_relative_information_score: 2.5736, mean_absolute_error: 0.4566, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.5794, predictive_accuracy: 0.5952, prior_entropy: 0.976, recall: 0.5952, relative_absolute_error: 0.9459, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.5632, root_relative_squared_error: 1.1474, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6118, f_measure: 0.6357, kappa: 0.2373, kb_relative_information_score: 6.4864, mean_absolute_error: 0.4113, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.6352, predictive_accuracy: 0.6429, prior_entropy: 0.976, recall: 0.6429, relative_absolute_error: 0.8521, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.5251, root_relative_squared_error: 1.0698, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.64, f_measure: 0.6357, kappa: 0.2373, kb_relative_information_score: 5.4675, mean_absolute_error: 0.4242, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.6352, predictive_accuracy: 0.6429, prior_entropy: 0.976, recall: 0.6429, relative_absolute_error: 0.8789, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.023, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5871, f_measure: 0.6058, kappa: 0.1902, kb_relative_information_score: 10.4188, mean_absolute_error: 0.3571, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.6381, predictive_accuracy: 0.6429, prior_entropy: 0.976, recall: 0.6429, relative_absolute_error: 0.7399, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.5976, root_relative_squared_error: 1.2175, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7141, f_measure: 0.7328, kappa: 0.4407, kb_relative_information_score: 18.8141, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7355, predictive_accuracy: 0.7381, prior_entropy: 0.976, recall: 0.7381, relative_absolute_error: 0.5426, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.5118, root_relative_squared_error: 1.0426, scimark_benchmark: 1515.9209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.7866, kappa: 0.5594, kb_relative_information_score: 22.9747, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7884, predictive_accuracy: 0.7857, prior_entropy: 0.976, recall: 0.7857, relative_absolute_error: 0.4459, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4522, root_relative_squared_error: 0.9211, scimark_benchmark: 985.4884, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6447, f_measure: 0.6627, kappa: 0.295, kb_relative_information_score: 12.5176, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.6617, predictive_accuracy: 0.6667, prior_entropy: 0.976, recall: 0.6667, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.1762, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7035, f_measure: 0.7143, kappa: 0.4071, kb_relative_information_score: 16.7152, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7143, predictive_accuracy: 0.7143, prior_entropy: 0.976, recall: 0.7143, relative_absolute_error: 0.5919, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.5345, root_relative_squared_error: 1.0889, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6447, f_measure: 0.6627, kappa: 0.295, kb_relative_information_score: 7.1604, mean_absolute_error: 0.4025, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.6617, predictive_accuracy: 0.6667, prior_entropy: 0.976, recall: 0.6667, relative_absolute_error: 0.8339, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0131, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7694, f_measure: 0.7636, kappa: 0.515, kb_relative_information_score: 20.29, mean_absolute_error: 0.2498, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7687, predictive_accuracy: 0.7619, prior_entropy: 0.976, recall: 0.7619, relative_absolute_error: 0.5175, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4422, root_relative_squared_error: 0.9009, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6553, f_measure: 0.6357, kappa: 0.2373, kb_relative_information_score: 7.3703, mean_absolute_error: 0.401, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.6352, predictive_accuracy: 0.6429, prior_entropy: 0.976, recall: 0.6429, relative_absolute_error: 0.8307, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4944, root_relative_squared_error: 1.0072, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7624, f_measure: 0.7866, kappa: 0.5594, kb_relative_information_score: 20.1995, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7884, predictive_accuracy: 0.7857, prior_entropy: 0.976, recall: 0.7857, relative_absolute_error: 0.5187, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4429, root_relative_squared_error: 0.9022, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6012, f_measure: 0.6217, kappa: 0.224, kb_relative_information_score: 5.8725, mean_absolute_error: 0.4131, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.6271, predictive_accuracy: 0.619, prior_entropy: 0.976, recall: 0.619, relative_absolute_error: 0.8557, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.5597, root_relative_squared_error: 1.1403, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7765, f_measure: 0.7109, kappa: 0.3957, kb_relative_information_score: 11.5877, mean_absolute_error: 0.3581, mean_prior_absolute_error: 0.4827, number_of_instances: 42, precision: 0.7108, predictive_accuracy: 0.7143, prior_entropy: 0.976, recall: 0.7143, relative_absolute_error: 0.7419, root_mean_prior_squared_error: 0.4909, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.8851, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,

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