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OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7265, f_measure: 0.6895, kappa: 0.0796, kb_relative_information_score: 37.7907, mean_absolute_error: 0.338, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7388, predictive_accuracy: 0.7687, prior_entropy: 0.7928, recall: 0.7687, relative_absolute_error: 0.9311, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.9606, scimark_benchmark: 1273.0824, usercpu_time_millis: 13.545, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 13.538,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1331.0712, usercpu_time_millis: 0.904, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.893,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7544, f_measure: 0.7041, kappa: 0.1205, kb_relative_information_score: 63.6422, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7516, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.8648, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.9247, scimark_benchmark: 1271.2595, usercpu_time_millis: 16.371, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 16.362,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 73.3106, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.851, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9224, scimark_benchmark: 1294.4407, usercpu_time_millis: 14.501, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 14.493,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, f_measure: 0.7485, kappa: 0.3876, kb_relative_information_score: 244.7914, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7458, predictive_accuracy: 0.756, prior_entropy: 0.8818, recall: 0.756, relative_absolute_error: 0.7424, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8862, scimark_benchmark: 1301.4459, usercpu_time_millis: 40.654, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 40.628,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7894, f_measure: 0.7383, kappa: 0.353, kb_relative_information_score: 197.569, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7425, predictive_accuracy: 0.757, prior_entropy: 0.8818, recall: 0.757, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8823, scimark_benchmark: 1282.6011, usercpu_time_millis: 41.906, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 41.881,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5995, f_measure: 0.587, kappa: 0.0192, kb_relative_information_score: 4.3094, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7063, predictive_accuracy: 0.703, prior_entropy: 0.8818, recall: 0.703, relative_absolute_error: 0.9853, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9856, scimark_benchmark: 1302.3736, usercpu_time_millis: 15.036, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 15.01,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6961, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 170.8418, mean_absolute_error: 0.3578, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7156, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.8404, scimark_benchmark: 1329.4256, usercpu_time_millis: 17.798, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 17.788,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.7321, kappa: 0.4892, kb_relative_information_score: 210.1521, mean_absolute_error: 0.3213, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8006, predictive_accuracy: 0.7446, prior_entropy: 1, recall: 0.7446, relative_absolute_error: 0.6427, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.7978, scimark_benchmark: 1334.1788, usercpu_time_millis: 16.921, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 16.789,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1305.449, usercpu_time_millis: 20.193, usercpu_time_millis_testing: 0.249, usercpu_time_millis_training: 19.944,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6953, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 183.572, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6878, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8405, scimark_benchmark: 1302.3181, usercpu_time_millis: 34.487, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 34.473,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.6984, kappa: 0.1065, kb_relative_information_score: 46.9092, mean_absolute_error: 0.3227, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.787, predictive_accuracy: 0.7767, prior_entropy: 0.7928, recall: 0.7767, relative_absolute_error: 0.8888, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.9289, scimark_benchmark: 1259.6819, usercpu_time_millis: 2.743, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 2.735,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1330.3558, usercpu_time_millis: 0.448, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.437,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set nomao
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9416, kappa: 0.8558, kb_relative_information_score: 26058.5314, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9416, predictive_accuracy: 0.9421, prior_entropy: 0.863, recall: 0.9421, relative_absolute_error: 0.2651, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.4563, scimark_benchmark: 1268.7871, usercpu_time_millis: 13101.286, usercpu_time_millis_testing: 20.319, usercpu_time_millis_training: 13080.967,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 159.9905, mean_absolute_error: 0.3713, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7427, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.8296, scimark_benchmark: 1309.1081, usercpu_time_millis: 20.796, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 20.787,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.7332, kappa: 0.4964, kb_relative_information_score: 24.9733, mean_absolute_error: 0.4838, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8204, predictive_accuracy: 0.7482, prior_entropy: 1, recall: 0.7482, relative_absolute_error: 0.9677, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9686, scimark_benchmark: 1330.024, usercpu_time_millis: 2.365, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 2.341,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7491, f_measure: 0.7198, kappa: 0.3106, kb_relative_information_score: 173.1214, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7178, predictive_accuracy: 0.735, prior_entropy: 0.8818, recall: 0.735, relative_absolute_error: 0.8128, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4196, root_relative_squared_error: 0.9156, scimark_benchmark: 1279.0518, usercpu_time_millis: 87.168, usercpu_time_millis_testing: 1.188, usercpu_time_millis_training: 85.98,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7607, f_measure: 0.7471, kappa: 0.3868, kb_relative_information_score: 313.6114, mean_absolute_error: 0.2739, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7443, predictive_accuracy: 0.753, prior_entropy: 0.8818, recall: 0.753, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.9588, scimark_benchmark: 1289.225, usercpu_time_millis: 228.701, usercpu_time_millis_testing: 1.638, usercpu_time_millis_training: 227.063,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7301, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 45.3422, mean_absolute_error: 0.4696, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.9391, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4716, root_relative_squared_error: 0.9432, scimark_benchmark: 1315.3215, usercpu_time_millis: 3.912, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 3.901,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7257, f_measure: 0.7365, kappa: 0.2226, kb_relative_information_score: 68.7625, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7351, predictive_accuracy: 0.7687, prior_entropy: 0.7928, recall: 0.7687, relative_absolute_error: 0.8481, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.9444, scimark_benchmark: 1268.8775, usercpu_time_millis: 32.208, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 31.808,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7053, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 108.1866, mean_absolute_error: 0.4191, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.8382, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.8744, scimark_benchmark: 1333.6496, usercpu_time_millis: 1.285, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 1.275,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9112, kappa: 0.8237, kb_relative_information_score: 274.8886, mean_absolute_error: 0.2806, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9251, predictive_accuracy: 0.9119, prior_entropy: 1, recall: 0.9119, relative_absolute_error: 0.5613, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6315, scimark_benchmark: 1305.8091, usercpu_time_millis: 12.232, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 12.138,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7519, f_measure: 0.7041, kappa: 0.1197, kb_relative_information_score: 67.368, mean_absolute_error: 0.3157, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7389, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8695, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.9263, scimark_benchmark: 1292.7043, usercpu_time_millis: 10.855, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 10.847,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 90.8002, mean_absolute_error: 0.4346, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.8692, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4447, root_relative_squared_error: 0.8893, scimark_benchmark: 1341.9277, usercpu_time_millis: 29.718, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 29.708,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7063, f_measure: 0.7498, kappa: 0.2606, kb_relative_information_score: 71.8296, mean_absolute_error: 0.3097, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7545, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.853, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.9482, scimark_benchmark: 1289.9306, usercpu_time_millis: 19.621, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 19.402,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, f_measure: 0.7493, kappa: 0.3894, kb_relative_information_score: 245.3196, mean_absolute_error: 0.3117, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7468, predictive_accuracy: 0.757, prior_entropy: 0.8818, recall: 0.757, relative_absolute_error: 0.7417, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4063, root_relative_squared_error: 0.8865, scimark_benchmark: 1280.1279, usercpu_time_millis: 130.777, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 130.748,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.672, f_measure: 0.7355, kappa: 0.2378, kb_relative_information_score: 83.593, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7277, predictive_accuracy: 0.7513, prior_entropy: 0.7928, recall: 0.7513, relative_absolute_error: 0.8216, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4325, root_relative_squared_error: 1.0155, scimark_benchmark: 1287.9325, usercpu_time_millis: 34.67, usercpu_time_millis_testing: 0.588, usercpu_time_millis_training: 34.082,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7538, f_measure: 0.7032, kappa: 0.1169, kb_relative_information_score: 68.4517, mean_absolute_error: 0.3115, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7341, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.8581, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.9234, scimark_benchmark: 1259.9764, usercpu_time_millis: 3.876, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 3.869,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 73.1302, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8514, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9224, scimark_benchmark: 1285.4205, usercpu_time_millis: 13.583, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 13.573,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.745, f_measure: 0.6708, kappa: 0.1843, kb_relative_information_score: 113.819, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6968, predictive_accuracy: 0.722, prior_entropy: 0.8818, recall: 0.722, relative_absolute_error: 0.8786, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.423, root_relative_squared_error: 0.923, scimark_benchmark: 1301.2736, usercpu_time_millis: 32.957, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 32.932,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, f_measure: 0.7023, kappa: 0.1149, kb_relative_information_score: 64.906, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7402, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.863, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.9244, scimark_benchmark: 1273.2567, usercpu_time_millis: 14.095, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 14.088,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7078, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 63.3764, mean_absolute_error: 0.456, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.9121, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.461, root_relative_squared_error: 0.922, scimark_benchmark: 1301.4067, usercpu_time_millis: 14.215, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 14.204,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7099, f_measure: 0.7278, kappa: 0.4892, kb_relative_information_score: 9.6948, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8246, predictive_accuracy: 0.7446, prior_entropy: 1, recall: 0.7446, relative_absolute_error: 0.9877, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9879, scimark_benchmark: 1305.1116, usercpu_time_millis: 18.105, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 18.095,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7543, f_measure: 0.7032, kappa: 0.1185, kb_relative_information_score: 62.0338, mean_absolute_error: 0.3154, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7611, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8689, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.394, root_relative_squared_error: 0.9253, scimark_benchmark: 1290.0302, usercpu_time_millis: 16.371, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 16.366,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7538, f_measure: 0.7032, kappa: 0.1169, kb_relative_information_score: 69.1389, mean_absolute_error: 0.3113, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7341, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.8573, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.9232, scimark_benchmark: 1294.9612, usercpu_time_millis: 7.312, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 7.305,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7518, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 72.2641, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8539, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9227, scimark_benchmark: 1256.371, usercpu_time_millis: 7.663, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 7.657,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.7041, kappa: 0.1197, kb_relative_information_score: 68.4042, mean_absolute_error: 0.3147, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7389, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8667, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.9255, scimark_benchmark: 1279.0614, usercpu_time_millis: 8.573, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 8.564,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 182.5185, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.69, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.8412, scimark_benchmark: 1274.4524, usercpu_time_millis: 24.808, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 24.797,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7055, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 182.8263, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6925, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8294, scimark_benchmark: 1333.0523, usercpu_time_millis: 28.836, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 28.826,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7496, f_measure: 0.6988, kappa: 0.1052, kb_relative_information_score: 61.5632, mean_absolute_error: 0.3216, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7436, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8857, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.9326, scimark_benchmark: 1270.9977, usercpu_time_millis: 3.978, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 3.969,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5034, f_measure: 0.6591, kb_relative_information_score: -434.4456, mean_absolute_error: 0.4679, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.2889, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4708, root_relative_squared_error: 1.1057, scimark_benchmark: 1291.4173, usercpu_time_millis: 9.976, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 9.899,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1306.6579, usercpu_time_millis: 31.464, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 31.285,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7544, f_measure: 0.7041, kappa: 0.1205, kb_relative_information_score: 63.9475, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7516, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.9247, scimark_benchmark: 1292.176, usercpu_time_millis: 3.711, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 3.704,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7539, f_measure: 0.6995, kappa: 0.1087, kb_relative_information_score: 59.2804, mean_absolute_error: 0.3163, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7699, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8711, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.9257, scimark_benchmark: 1290.7541, usercpu_time_millis: 5.841, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 5.834,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7379, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 14.7341, mean_absolute_error: 0.4906, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.9812, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4908, root_relative_squared_error: 0.9816, scimark_benchmark: 1321.856, usercpu_time_millis: 30.008, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 29.994,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.4982, kappa: -0.0036, kb_relative_information_score: -0.0467, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4982, predictive_accuracy: 0.4982, prior_entropy: 1, recall: 0.4982, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002, scimark_benchmark: 1307.0203, usercpu_time_millis: 3.47, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 3.447,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1296.2316, usercpu_time_millis: 7.542, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 7.496,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7198, f_measure: 0.7517, kappa: 0.2748, kb_relative_information_score: 96.8839, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7478, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.8295, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.9365, scimark_benchmark: 1277.0654, usercpu_time_millis: 45.723, usercpu_time_millis_testing: 0.774, usercpu_time_millis_training: 44.949,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7881, f_measure: 0.7461, kappa: 0.3813, kb_relative_information_score: 243.2524, mean_absolute_error: 0.3128, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7434, predictive_accuracy: 0.754, prior_entropy: 0.8818, recall: 0.754, relative_absolute_error: 0.7445, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8854, scimark_benchmark: 1300.1062, usercpu_time_millis: 72.413, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 72.392,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 133.4923, mean_absolute_error: 0.3946, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7893, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.8489, scimark_benchmark: 1315.7732, usercpu_time_millis: 1.892, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 1.862,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1338.4384, usercpu_time_millis: 4.24, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 4.192,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.508, f_measure: 0.5263, kappa: 0.054, kb_relative_information_score: -0.0069, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5271, predictive_accuracy: 0.527, prior_entropy: 1, recall: 0.527, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1308.0583, usercpu_time_millis: 28.317, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 28.102,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7804, f_measure: 0.7376, kappa: 0.3534, kb_relative_information_score: 200.4766, mean_absolute_error: 0.3322, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7382, predictive_accuracy: 0.753, prior_entropy: 0.8818, recall: 0.753, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8901, scimark_benchmark: 1299.0667, usercpu_time_millis: 111.745, usercpu_time_millis_testing: 0.893, usercpu_time_millis_training: 110.852,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7718, f_measure: 0.7006, kappa: 0.2563, kb_relative_information_score: 144.2579, mean_absolute_error: 0.3572, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7242, predictive_accuracy: 0.74, prior_entropy: 0.8818, recall: 0.74, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.9044, scimark_benchmark: 1289.9913, usercpu_time_millis: 112.938, usercpu_time_millis_testing: 0.565, usercpu_time_millis_training: 112.373,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7544, f_measure: 0.7049, kappa: 0.1225, kb_relative_information_score: 66.262, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.744, predictive_accuracy: 0.7727, prior_entropy: 0.7928, recall: 0.7727, relative_absolute_error: 0.8611, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.924, scimark_benchmark: 1270.5442, usercpu_time_millis: 7.521, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 7.511,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7071, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 173.4284, mean_absolute_error: 0.3571, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7143, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.8256, scimark_benchmark: 1294.8863, usercpu_time_millis: 5.487, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 5.478,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: -333.4385, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.19, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0911, scimark_benchmark: 1303.8007, usercpu_time_millis: 68.006, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 67.784,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7887, f_measure: 0.7327, kappa: 0.339, kb_relative_information_score: 193.0213, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7363, predictive_accuracy: 0.752, prior_entropy: 0.8818, recall: 0.752, relative_absolute_error: 0.8061, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.8835, scimark_benchmark: 1296.8547, usercpu_time_millis: 23.809, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 23.786,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7514, f_measure: 0.7057, kappa: 0.1244, kb_relative_information_score: 71.4073, mean_absolute_error: 0.3117, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7379, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8585, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.9236, scimark_benchmark: 1266.1013, usercpu_time_millis: 21.92, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 21.913,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 4.634, mean_absolute_error: 0.4971, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9943, scimark_benchmark: 1305.0898, usercpu_time_millis: 33.022, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 32.826,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7821, f_measure: 0.7349, kappa: 0.3421, kb_relative_information_score: 145.2137, mean_absolute_error: 0.3586, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7477, predictive_accuracy: 0.76, prior_entropy: 0.8818, recall: 0.76, relative_absolute_error: 0.8534, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8945, scimark_benchmark: 1282.5842, usercpu_time_millis: 6.646, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 6.592,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7244, f_measure: 0.664, kappa: 0.3345, kb_relative_information_score: 53.4103, mean_absolute_error: 0.4625, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.6741, predictive_accuracy: 0.6673, prior_entropy: 1, recall: 0.6673, relative_absolute_error: 0.9249, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4694, root_relative_squared_error: 0.9388, scimark_benchmark: 1327.7105, usercpu_time_millis: 0.329, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.315,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 73.2964, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.851, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9224, scimark_benchmark: 1272.5073, usercpu_time_millis: 13.165, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 13.148,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.698, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 9.6329, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.9878, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.494, root_relative_squared_error: 0.988, scimark_benchmark: 1293.6763, usercpu_time_millis: 0.28, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.269,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7897, f_measure: 0.5765, kb_relative_information_score: 75.5318, mean_absolute_error: 0.3911, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9309, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.941, scimark_benchmark: 1281.4844, usercpu_time_millis: 83.992, usercpu_time_millis_testing: 0.596, usercpu_time_millis_training: 83.396,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 99.3273, mean_absolute_error: 0.4274, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.8549, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.8803, scimark_benchmark: 1334.7305, usercpu_time_millis: 7.486, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 7.468,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7265, f_measure: 0.6847, kappa: 0.0664, kb_relative_information_score: 26.3251, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7359, predictive_accuracy: 0.7674, prior_entropy: 0.7928, recall: 0.7674, relative_absolute_error: 0.9507, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.9633, scimark_benchmark: 1291.6587, usercpu_time_millis: 17.297, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 17.291,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set electricity
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.8369, kappa: 0.665, kb_relative_information_score: 21465.297, mean_absolute_error: 0.2763, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8375, predictive_accuracy: 0.8378, prior_entropy: 0.9835, recall: 0.8378, relative_absolute_error: 0.5655, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.6986, scimark_benchmark: 1267.2961, usercpu_time_millis: 6304.875, usercpu_time_millis_testing: 81.792, usercpu_time_millis_training: 6223.083,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5029, f_measure: 0.5023, kappa: 0.0072, kb_relative_information_score: -0.0144, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5036, predictive_accuracy: 0.5036, prior_entropy: 1, recall: 0.5036, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1323.3568, usercpu_time_millis: 6.236, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 6.202,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7181, f_measure: 0.6895, kappa: 0.0796, kb_relative_information_score: 30.967, mean_absolute_error: 0.3408, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7388, predictive_accuracy: 0.7687, prior_entropy: 0.7928, recall: 0.7687, relative_absolute_error: 0.9388, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.411, root_relative_squared_error: 0.9652, scimark_benchmark: 1259.9486, usercpu_time_millis: 11.443, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 11.436,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1323.0921, usercpu_time_millis: 4.471, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 4.444,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7767, f_measure: 0.5998, kappa: 0.0445, kb_relative_information_score: 83.9479, mean_absolute_error: 0.3869, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7305, predictive_accuracy: 0.708, prior_entropy: 0.8818, recall: 0.708, relative_absolute_error: 0.9208, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.9334, scimark_benchmark: 1289.7557, usercpu_time_millis: 9.086, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 9.063,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, f_measure: 0.7465, kappa: 0.2616, kb_relative_information_score: 92.1899, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7408, predictive_accuracy: 0.7674, prior_entropy: 0.7928, recall: 0.7674, relative_absolute_error: 0.8264, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.9564, scimark_benchmark: 1279.5125, usercpu_time_millis: 62.6, usercpu_time_millis_testing: 0.927, usercpu_time_millis_training: 61.673,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7192, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 177.8335, mean_absolute_error: 0.3528, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7056, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.823, scimark_benchmark: 1338.2285, usercpu_time_millis: 28.544, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 28.534,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7003, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 152.7633, mean_absolute_error: 0.3769, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7537, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8436, scimark_benchmark: 1335.7889, usercpu_time_millis: 3.346, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 3.336,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 538.1871, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0435, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0294, root_relative_squared_error: 0.0588, scimark_benchmark: 1324.5167, usercpu_time_millis: 9.551, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 9.472,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 33.4801, mean_absolute_error: 0.4779, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.9558, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4791, root_relative_squared_error: 0.9583, scimark_benchmark: 1309.9939, usercpu_time_millis: 29.167, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 29.155,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, f_measure: 0.6778, kappa: 0.202, kb_relative_information_score: 116.7086, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7106, predictive_accuracy: 0.729, prior_entropy: 0.8818, recall: 0.729, relative_absolute_error: 0.8751, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.9233, scimark_benchmark: 1266.926, usercpu_time_millis: 63.795, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 63.769,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7094, f_measure: 0.7278, kappa: 0.4892, kb_relative_information_score: 24.278, mean_absolute_error: 0.4842, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8246, predictive_accuracy: 0.7446, prior_entropy: 1, recall: 0.7446, relative_absolute_error: 0.9684, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4849, root_relative_squared_error: 0.9697, scimark_benchmark: 1337.3549, usercpu_time_millis: 23.871, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 23.861,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.7527, kappa: 0.5324, kb_relative_information_score: 219.7988, mean_absolute_error: 0.3163, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8407, predictive_accuracy: 0.7662, prior_entropy: 1, recall: 0.7662, relative_absolute_error: 0.6326, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3834, root_relative_squared_error: 0.7668, scimark_benchmark: 1330.1881, usercpu_time_millis: 55.134, usercpu_time_millis_testing: 0.441, usercpu_time_millis_training: 54.693,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1335.2086, usercpu_time_millis: 16.969, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 16.867,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.7502, kappa: 0.389, kb_relative_information_score: 221.0582, mean_absolute_error: 0.3241, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7484, predictive_accuracy: 0.76, prior_entropy: 0.8818, recall: 0.76, relative_absolute_error: 0.7715, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.882, scimark_benchmark: 1277.2775, usercpu_time_millis: 98.081, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 98.054,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.729, f_measure: 0.6923, kappa: 0.0874, kb_relative_information_score: 45.1031, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.744, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.9213, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.9553, scimark_benchmark: 1278.261, usercpu_time_millis: 21.511, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 21.507,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: -333.4385, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.19, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0911, scimark_benchmark: 1272.3762, usercpu_time_millis: 29.291, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 29.169,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7528, f_measure: 0.7049, kappa: 0.1225, kb_relative_information_score: 67.646, mean_absolute_error: 0.3144, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.744, predictive_accuracy: 0.7727, prior_entropy: 0.7928, recall: 0.7727, relative_absolute_error: 0.8659, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.9244, scimark_benchmark: 1274.1465, usercpu_time_millis: 2.164, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 2.156,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1315.562, usercpu_time_millis: 21.966, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 21.957,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set electricity
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.7535, kappa: 0.4927, kb_relative_information_score: 13248.4319, mean_absolute_error: 0.3618, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7609, predictive_accuracy: 0.7589, prior_entropy: 0.9835, recall: 0.7589, relative_absolute_error: 0.7404, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.8354, scimark_benchmark: 1263.2158, usercpu_time_millis: 1426.828, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 1426.744,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 73.1567, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8514, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9224, scimark_benchmark: 1292.5234, usercpu_time_millis: 18.113, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 18.108,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6957, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 177.0724, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7033, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.8349, scimark_benchmark: 1307.7658, usercpu_time_millis: 8.959, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 8.951,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7538, f_measure: 0.7032, kappa: 0.1169, kb_relative_information_score: 69.3728, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7341, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.8568, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.9231, scimark_benchmark: 1269.2821, usercpu_time_millis: 8.732, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 8.724,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6962, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 169.757, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7179, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.8403, scimark_benchmark: 1336.2781, usercpu_time_millis: 26.06, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 26.048,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6949, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 176.6288, mean_absolute_error: 0.3516, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7033, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.8398, scimark_benchmark: 1300.811, usercpu_time_millis: 22.461, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 22.451,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7512, f_measure: 0.6884, kappa: 0.0772, kb_relative_information_score: 35.4754, mean_absolute_error: 0.3375, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7518, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.9295, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4018, root_relative_squared_error: 0.9437, scimark_benchmark: 1284.8243, usercpu_time_millis: 2.795, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 2.787,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5765, kb_relative_information_score: -5.0365, mean_absolute_error: 0.4211, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.49, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1, scimark_benchmark: 1297.0407, usercpu_time_millis: 127.145, usercpu_time_millis_testing: 1.124, usercpu_time_millis_training: 126.021,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7204, f_measure: 0.6887, kappa: 0.0768, kb_relative_information_score: 33.409, mean_absolute_error: 0.3398, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7311, predictive_accuracy: 0.7674, prior_entropy: 0.7928, recall: 0.7674, relative_absolute_error: 0.9359, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.9637, scimark_benchmark: 1288.3686, usercpu_time_millis: 8.733, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 8.725,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8022, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 91.8913, mean_absolute_error: 0.4342, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.8684, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4439, root_relative_squared_error: 0.8877, scimark_benchmark: 1336.5343, usercpu_time_millis: 47.943, usercpu_time_millis_testing: 0.418, usercpu_time_millis_training: 47.525,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.752, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 72.7409, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8521, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9224, scimark_benchmark: 1277.747, usercpu_time_millis: 19.863, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 19.856,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 72.9753, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8519, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9224, scimark_benchmark: 1263.1758, usercpu_time_millis: 11.554, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 11.545,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 73.238, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.737, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8511, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9224, scimark_benchmark: 1279.5237, usercpu_time_millis: 1.895, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 1.887,
OpenML_Bot R 7 years ago
ran flow mlr.classif.xgboost(9) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4458, kappa: -0.0072, kb_relative_information_score: -0.0115, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4943, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1329.1001, usercpu_time_millis: 4.162, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 4.151,