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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: 0.7387, f_measure: 0.6784, kappa: 0.0504, kb_relative_information_score: 5.8335, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.752, predictive_accuracy: 0.7674, prior_entropy: 0.7928, recall: 0.7674, relative_absolute_error: 0.9747, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.9625, scimark_benchmark: 1291.2634, usercpu_time_millis: 11.563, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 11.558,
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: 0.6868, f_measure: 0.7428, kappa: 0.2553, kb_relative_information_score: 84.555, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7358, predictive_accuracy: 0.7607, prior_entropy: 0.7928, recall: 0.7607, relative_absolute_error: 0.8206, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.423, root_relative_squared_error: 0.9933, scimark_benchmark: 1276.6917, usercpu_time_millis: 39.219, usercpu_time_millis_testing: 0.642, usercpu_time_millis_training: 38.577,
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: 73.0031, mean_absolute_error: 0.3092, 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: 0.8518, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9225, scimark_benchmark: 1268.3333, usercpu_time_millis: 14.228, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 14.222,
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: 0.6946, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 183.2467, mean_absolute_error: 0.3442, 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: 0.6884, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.8412, scimark_benchmark: 1302.0333, usercpu_time_millis: 31.216, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 31.207,
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: 0.6937, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 182.7375, mean_absolute_error: 0.3448, 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: 0.6896, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.42, root_relative_squared_error: 0.84, scimark_benchmark: 1310.0379, usercpu_time_millis: 23.851, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 23.84,
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: 1329.5141, usercpu_time_millis: 26.41, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 26.402,
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: 458.4153, mean_absolute_error: 0.1117, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2234, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1322, root_relative_squared_error: 0.2645, scimark_benchmark: 1329.4182, usercpu_time_millis: 29.326, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 29.09,
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: 0.4955, f_measure: 0.6591, kb_relative_information_score: -304.2176, mean_absolute_error: 0.4296, 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: 1.1832, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4446, root_relative_squared_error: 1.044, scimark_benchmark: 1278.7292, usercpu_time_millis: 39.104, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 38.761,
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: 1308.0616, usercpu_time_millis: 24.041, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 23.907,
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: 0.7517, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 73.1571, mean_absolute_error: 0.3092, 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: 0.8516, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9225, scimark_benchmark: 1273.6824, usercpu_time_millis: 12.824, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 12.812,
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: 0.6964, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 167.7255, mean_absolute_error: 0.3611, 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: 0.7222, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.8407, scimark_benchmark: 1313.8433, usercpu_time_millis: 17.877, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 17.865,
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: 73.3237, 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: 0.8509, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9224, scimark_benchmark: 1270.2595, usercpu_time_millis: 12.317, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 12.31,
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: 0.71, f_measure: 0.7278, kappa: 0.4892, kb_relative_information_score: 10.1156, mean_absolute_error: 0.4936, 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: 0.9872, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4937, root_relative_squared_error: 0.9874, scimark_benchmark: 1334.1515, usercpu_time_millis: 27.172, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 27.162,
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: 0.995, f_measure: 0.788, kappa: 0.5935, kb_relative_information_score: 228.7953, mean_absolute_error: 0.3163, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8555, predictive_accuracy: 0.7968, prior_entropy: 1, recall: 0.7968, relative_absolute_error: 0.6326, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.7135, scimark_benchmark: 1326.7082, usercpu_time_millis: 65.597, usercpu_time_millis_testing: 0.526, usercpu_time_millis_training: 65.071,
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: 138.9372, mean_absolute_error: 0.3919, 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: 0.7839, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.8432, scimark_benchmark: 1304.2599, usercpu_time_millis: 3.677, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 3.667,
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: 0.4968, f_measure: 0.4912, kappa: -0.0072, kb_relative_information_score: -0.0911, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4963, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0006, scimark_benchmark: 1322.4922, usercpu_time_millis: 12.812, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 12.741,
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: 72.7963, 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: 0.9225, scimark_benchmark: 1294.1783, usercpu_time_millis: 15.484, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 15.477,
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: 0.6239, f_measure: 0.611, kappa: 0.0535, kb_relative_information_score: 29.4227, mean_absolute_error: 0.4028, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6429, predictive_accuracy: 0.699, prior_entropy: 0.8818, recall: 0.699, relative_absolute_error: 0.9586, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.9795, scimark_benchmark: 1291.3935, usercpu_time_millis: 2.04, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 2.013,
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: 0.7773, f_measure: 0.5976, kappa: 0.04, kb_relative_information_score: 95.497, mean_absolute_error: 0.3809, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7251, predictive_accuracy: 0.707, prior_entropy: 0.8818, recall: 0.707, relative_absolute_error: 0.9066, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4248, root_relative_squared_error: 0.9269, scimark_benchmark: 1277.2946, usercpu_time_millis: 118.648, usercpu_time_millis_testing: 1.455, usercpu_time_millis_training: 117.193,
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: 0.6963, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 167.4121, mean_absolute_error: 0.3614, 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: 0.7228, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.8409, scimark_benchmark: 1304.2073, usercpu_time_millis: 21.844, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 21.832,
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: 0.683, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 109.5129, mean_absolute_error: 0.4185, 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: 0.837, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.8706, scimark_benchmark: 1330.0646, usercpu_time_millis: 18.471, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 18.461,
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: 0.7542, f_measure: 0.7006, kappa: 0.1101, kb_relative_information_score: 65.426, mean_absolute_error: 0.3147, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7417, 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: 0.3936, root_relative_squared_error: 0.9244, scimark_benchmark: 1290.8351, usercpu_time_millis: 12.244, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 12.236,
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: 0.9697, f_measure: 0.906, kappa: 0.7645, kb_relative_information_score: 18969.9809, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9084, predictive_accuracy: 0.9086, prior_entropy: 0.863, recall: 0.9086, relative_absolute_error: 0.4869, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.6082, scimark_benchmark: 1265.0963, usercpu_time_millis: 593.266, usercpu_time_millis_testing: 0.869, usercpu_time_millis_training: 592.397,
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: 1300.4271, usercpu_time_millis: 115.432, usercpu_time_millis_testing: 0.512, usercpu_time_millis_training: 114.92,
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: 0.5211, f_measure: 0.5765, kb_relative_information_score: -0.5588, mean_absolute_error: 0.4201, 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: 0.9998, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4582, root_relative_squared_error: 0.9999, scimark_benchmark: 1300.8922, usercpu_time_millis: 99.603, usercpu_time_millis_testing: 0.404, usercpu_time_millis_training: 99.199,
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: 0.6955, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 174.5832, mean_absolute_error: 0.3538, 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: 0.7076, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.42, root_relative_squared_error: 0.8399, scimark_benchmark: 1331.6462, usercpu_time_millis: 27.895, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 27.886,
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: 0.6768, f_measure: 0.6412, kappa: 0.1196, kb_relative_information_score: 58.3476, mean_absolute_error: 0.3919, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6846, predictive_accuracy: 0.713, prior_entropy: 0.8818, recall: 0.713, relative_absolute_error: 0.9327, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.44, root_relative_squared_error: 0.9602, scimark_benchmark: 1305.5805, usercpu_time_millis: 122.37, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 122.348,
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: 0.7041, kappa: 0.1197, kb_relative_information_score: 69.2605, mean_absolute_error: 0.3127, 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: 0.8612, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.9234, scimark_benchmark: 1293.1213, usercpu_time_millis: 16.939, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 16.932,
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: 0.7517, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 72.593, mean_absolute_error: 0.3098, 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: 0.8534, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9227, scimark_benchmark: 1264.556, usercpu_time_millis: 20.081, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 20.072,
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: 0.7434, f_measure: 0.7243, kappa: 0.3308, kb_relative_information_score: 239.1499, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7207, predictive_accuracy: 0.731, prior_entropy: 0.8818, recall: 0.731, relative_absolute_error: 0.7284, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.9456, scimark_benchmark: 1278.7789, usercpu_time_millis: 132.116, usercpu_time_millis_testing: 1.075, usercpu_time_millis_training: 131.041,
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: 1310.5613, usercpu_time_millis: 28.131, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 27.955,
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: 0.7536, f_measure: 0.7032, kappa: 0.1177, kb_relative_information_score: 67.098, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7457, predictive_accuracy: 0.7727, prior_entropy: 0.7928, recall: 0.7727, relative_absolute_error: 0.8631, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.9238, scimark_benchmark: 1297.3674, usercpu_time_millis: 9.868, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 9.86,
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: 0.7902, f_measure: 0.753, kappa: 0.3966, kb_relative_information_score: 237.4339, mean_absolute_error: 0.3163, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7511, predictive_accuracy: 0.762, prior_entropy: 0.8818, recall: 0.762, relative_absolute_error: 0.7528, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8813, scimark_benchmark: 1299.2992, usercpu_time_millis: 97.038, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 97.012,
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: 73.0844, 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: 1281.0637, usercpu_time_millis: 16.606, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 16.597,
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: 0.7529, f_measure: 0.7049, kappa: 0.1216, kb_relative_information_score: 72.0367, mean_absolute_error: 0.3097, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7334, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.853, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9224, scimark_benchmark: 1287.7639, usercpu_time_millis: 19.696, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 19.692,
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: 72.5802, mean_absolute_error: 0.3095, 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: 0.8526, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9224, scimark_benchmark: 1289.6149, usercpu_time_millis: 7.633, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 7.627,
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: 0.7823, f_measure: 0.7145, kappa: 0.2919, kb_relative_information_score: 163.0481, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7208, predictive_accuracy: 0.74, prior_entropy: 0.8818, recall: 0.74, relative_absolute_error: 0.8302, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.41, root_relative_squared_error: 0.8947, scimark_benchmark: 1306.1614, usercpu_time_millis: 19.566, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 19.54,
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: 0.6978, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 156.4143, mean_absolute_error: 0.373, 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: 0.7461, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.8431, scimark_benchmark: 1311.2785, usercpu_time_millis: 6.629, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 6.617,
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: 0.7523, f_measure: 0.7032, kappa: 0.1169, kb_relative_information_score: 69.7407, mean_absolute_error: 0.3121, 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: 0.8596, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.9231, scimark_benchmark: 1290.2371, usercpu_time_millis: 2.531, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 2.524,
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: 73.1291, 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: 1290.1918, usercpu_time_millis: 7.017, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 7.008,
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: 0.7523, f_measure: 0.6956, kappa: 0.0986, kb_relative_information_score: 44.4532, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7836, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.9296, scimark_benchmark: 1252.6216, usercpu_time_millis: 2.512, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 2.505,
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: 329.8085, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.4716, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.5311, scimark_benchmark: 1308.9637, usercpu_time_millis: 51.151, usercpu_time_millis_testing: 0.353, usercpu_time_millis_training: 50.798,
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: 0.6982, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 167.89, mean_absolute_error: 0.3606, 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: 0.7213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.8418, scimark_benchmark: 1333.6666, usercpu_time_millis: 22.625, usercpu_time_millis_testing: 0.174, 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 credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5925, f_measure: 0.5985, kappa: 0.0335, kb_relative_information_score: 20.1179, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6437, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9716, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4515, root_relative_squared_error: 0.9852, scimark_benchmark: 1270.669, usercpu_time_millis: 120.197, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 120.137,
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: 73.3219, 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: 1290.2188, usercpu_time_millis: 8.856, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 8.851,
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: 73.3232, 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: 0.8509, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9224, scimark_benchmark: 1271.5252, usercpu_time_millis: 14.198, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 14.192,
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: 0.4942, 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: 1336.5237, usercpu_time_millis: 31.358, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 31.348,
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: 0.7829, f_measure: 0.5788, kappa: 0.0047, kb_relative_information_score: 77.7658, mean_absolute_error: 0.3892, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7905, predictive_accuracy: 0.701, prior_entropy: 0.8818, recall: 0.701, relative_absolute_error: 0.9263, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4301, root_relative_squared_error: 0.9385, scimark_benchmark: 1303.3824, usercpu_time_millis: 31.984, usercpu_time_millis_testing: 0.209, usercpu_time_millis_training: 31.775,
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: 0.7006, f_measure: 0.7406, kappa: 0.2334, kb_relative_information_score: 74.2304, mean_absolute_error: 0.3074, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7423, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.8468, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.9516, scimark_benchmark: 1292.0984, usercpu_time_millis: 47.172, usercpu_time_millis_testing: 0.56, usercpu_time_millis_training: 46.612,
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: 0.6848, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 53.7193, mean_absolute_error: 0.4635, 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: 0.9269, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4666, root_relative_squared_error: 0.9331, scimark_benchmark: 1338.108, usercpu_time_millis: 20.902, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 20.894,
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: 0.5, f_measure: 0.6591, kb_relative_information_score: -379.9624, mean_absolute_error: 0.451, 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: 1.2424, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.458, root_relative_squared_error: 1.0756, scimark_benchmark: 1274.0808, usercpu_time_millis: 34.326, usercpu_time_millis_testing: 0.316, usercpu_time_millis_training: 34.01,
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: 73.0506, mean_absolute_error: 0.3092, 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: 0.8517, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9225, scimark_benchmark: 1293.1084, usercpu_time_millis: 16.885, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 16.876,
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: 0.746, f_measure: 0.7161, kappa: 0.2989, kb_relative_information_score: 156.9656, mean_absolute_error: 0.3483, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7161, predictive_accuracy: 0.735, prior_entropy: 0.8818, recall: 0.735, relative_absolute_error: 0.829, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.918, scimark_benchmark: 1278.958, usercpu_time_millis: 54.27, usercpu_time_millis_testing: 1.032, usercpu_time_millis_training: 53.238,
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: 0.5937, f_measure: 0.5765, kb_relative_information_score: -15.9461, 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: 0.454, root_relative_squared_error: 0.9907, scimark_benchmark: 1298.5726, usercpu_time_millis: 56.2, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 56.175,
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: 0.7869, f_measure: 0.7316, kappa: 0.3374, kb_relative_information_score: 185.1734, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.733, predictive_accuracy: 0.749, prior_entropy: 0.8818, recall: 0.749, relative_absolute_error: 0.8083, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.8887, scimark_benchmark: 1278.2489, usercpu_time_millis: 135.12, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 135.096,
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: 163.0309, mean_absolute_error: 0.3682, 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: 0.7365, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4141, root_relative_squared_error: 0.8281, scimark_benchmark: 1332.1432, usercpu_time_millis: 9.681, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 9.672,
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: 1338.9222, usercpu_time_millis: 12.091, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 12.027,
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: 0.8042, kappa: 0.6223, kb_relative_information_score: 231.7526, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8629, predictive_accuracy: 0.8112, prior_entropy: 1, recall: 0.8112, relative_absolute_error: 0.6355, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.6958, scimark_benchmark: 1313.4922, usercpu_time_millis: 17.107, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 16.968,
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: 0.7839, f_measure: 0.7363, kappa: 0.3509, kb_relative_information_score: 194.6079, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7362, predictive_accuracy: 0.751, prior_entropy: 0.8818, recall: 0.751, relative_absolute_error: 0.7986, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.407, root_relative_squared_error: 0.8881, scimark_benchmark: 1275.733, usercpu_time_millis: 89.883, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 89.856,
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: 1332.081, usercpu_time_millis: 4.286, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 4.277,
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: 73.3173, 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: 1262.097, usercpu_time_millis: 1.628, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 1.62,
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: 0.7088, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 4.4417, mean_absolute_error: 0.4972, 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: 0.9944, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9945, scimark_benchmark: 1300.6422, usercpu_time_millis: 29.342, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 29.096,
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: 471.929, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1955, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1126, root_relative_squared_error: 0.2251, scimark_benchmark: 1332.3505, usercpu_time_millis: 35.178, usercpu_time_millis_testing: 0.355, usercpu_time_millis_training: 34.823,
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: 0.7662, f_measure: 0.6433, kappa: 0.1256, kb_relative_information_score: 101.2465, mean_absolute_error: 0.3783, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6939, predictive_accuracy: 0.716, prior_entropy: 0.8818, recall: 0.716, relative_absolute_error: 0.9004, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4229, root_relative_squared_error: 0.9228, scimark_benchmark: 1284.9022, usercpu_time_millis: 111.413, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 111.391,
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: 0.7517, f_measure: 0.7074, kappa: 0.1291, kb_relative_information_score: 72.9266, mean_absolute_error: 0.3094, 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: 0.8523, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9226, scimark_benchmark: 1288.8972, usercpu_time_millis: 17.161, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 17.155,
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: 0.6958, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 23.615, mean_absolute_error: 0.4847, 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: 0.9694, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4852, root_relative_squared_error: 0.9705, scimark_benchmark: 1333.139, usercpu_time_millis: 17.256, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 17.248,
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: 0.712, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 13.2569, mean_absolute_error: 0.4915, 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: 0.9831, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4917, root_relative_squared_error: 0.9834, scimark_benchmark: 1313.2657, usercpu_time_millis: 19.207, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 19.194,
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: 487.8231, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1608, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0919, root_relative_squared_error: 0.1839, scimark_benchmark: 1311.445, usercpu_time_millis: 38.025, usercpu_time_millis_testing: 0.386, usercpu_time_millis_training: 37.639,
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: 87.4046, mean_absolute_error: 0.4374, 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: 0.8748, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4466, root_relative_squared_error: 0.8931, scimark_benchmark: 1335.8904, usercpu_time_millis: 12.982, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 12.973,
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: 90.6684, mean_absolute_error: 0.4332, 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: 0.8664, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.8886, scimark_benchmark: 1303.6639, usercpu_time_millis: 2.872, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 2.86,
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: 0.6945, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 183.1318, mean_absolute_error: 0.3444, 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: 0.6887, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8407, scimark_benchmark: 1327.2808, usercpu_time_millis: 8.114, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 8.106,
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: 113.661, mean_absolute_error: 0.415, 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: 0.8301, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.8653, scimark_benchmark: 1300.4612, usercpu_time_millis: 15.092, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 15.082,
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: 0.8192, f_measure: 0.7442, kappa: 0.4742, kb_relative_information_score: 12490.8977, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7558, predictive_accuracy: 0.7516, prior_entropy: 0.9835, recall: 0.7516, relative_absolute_error: 0.7568, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.8403, scimark_benchmark: 1263.5652, usercpu_time_millis: 1789.782, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 1789.674,
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: 0.7912, f_measure: 0.7524, kappa: 0.3906, kb_relative_information_score: 214.6943, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7536, predictive_accuracy: 0.766, prior_entropy: 0.8818, recall: 0.766, relative_absolute_error: 0.7806, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.8799, scimark_benchmark: 1298.0226, usercpu_time_millis: 8.034, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 8.006,
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: 0.7646, f_measure: 0.7009, kappa: 0.2572, kb_relative_information_score: 151.0754, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7099, predictive_accuracy: 0.732, prior_entropy: 0.8818, recall: 0.732, relative_absolute_error: 0.8431, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.906, scimark_benchmark: 1295.7743, usercpu_time_millis: 61.857, usercpu_time_millis_testing: 0.302, usercpu_time_millis_training: 61.555,
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: -0.0109, 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: 1338.0579, usercpu_time_millis: 0.32, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.298,
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: 0.7848, f_measure: 0.7459, kappa: 0.3819, kb_relative_information_score: 248.8148, mean_absolute_error: 0.3097, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.743, predictive_accuracy: 0.753, prior_entropy: 0.8818, recall: 0.753, relative_absolute_error: 0.7372, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8886, scimark_benchmark: 1295.2208, usercpu_time_millis: 70.156, usercpu_time_millis_testing: 0.76, usercpu_time_millis_training: 69.396,
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: 0.6958, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 172.8738, mean_absolute_error: 0.3556, 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: 0.7111, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.8405, scimark_benchmark: 1324.1517, usercpu_time_millis: 23.642, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 23.636,
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: 0.7242, f_measure: 0.6458, kappa: 0.2747, kb_relative_information_score: 5163.4735, mean_absolute_error: 0.4416, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6589, predictive_accuracy: 0.661, prior_entropy: 0.9835, recall: 0.661, relative_absolute_error: 0.9038, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9314, scimark_benchmark: 1256.6098, usercpu_time_millis: 1755.184, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 1755.085,
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: 0.6944, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 181.4584, 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: 0.6924, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.8409, scimark_benchmark: 1305.1621, usercpu_time_millis: 7.497, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 7.485,
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: 142.7103, mean_absolute_error: 0.3883, 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: 0.7767, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.8404, scimark_benchmark: 1322.6272, usercpu_time_millis: 8.898, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 8.875,
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: 1331.0971, usercpu_time_millis: 30.811, usercpu_time_millis_testing: 0.187, usercpu_time_millis_training: 30.624,
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: 0.783, f_measure: 0.7494, kappa: 0.3841, kb_relative_information_score: 232.5268, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7493, predictive_accuracy: 0.762, prior_entropy: 0.8818, recall: 0.762, relative_absolute_error: 0.7523, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8872, scimark_benchmark: 1308.6018, usercpu_time_millis: 149.587, usercpu_time_millis_testing: 1.155, usercpu_time_millis_training: 148.432,
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: 468.1638, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2019, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.2453, scimark_benchmark: 1306.4002, usercpu_time_millis: 19.286, usercpu_time_millis_testing: 0.197, usercpu_time_millis_training: 19.089,
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: 0.4371, f_measure: 0.4579, kappa: -0.0827, kb_relative_information_score: -2.6179, mean_absolute_error: 0.5017, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4584, predictive_accuracy: 0.4586, prior_entropy: 1, recall: 0.4586, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0036, scimark_benchmark: 1327.7723, usercpu_time_millis: 44.123, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 43.859,
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: 0.6971, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 159.3439, mean_absolute_error: 0.37, 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: 0.7399, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.8425, scimark_benchmark: 1300.8087, usercpu_time_millis: 6.911, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 6.901,
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: 0.7512, kappa: 0.3874, kb_relative_information_score: 235.665, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7524, predictive_accuracy: 0.765, prior_entropy: 0.8818, recall: 0.765, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.8789, scimark_benchmark: 1297.5427, usercpu_time_millis: 220.601, usercpu_time_millis_testing: 1.68, usercpu_time_millis_training: 218.921,
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: 0.688, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 147.026, mean_absolute_error: 0.3833, 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: 0.7666, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.8419, scimark_benchmark: 1314.4297, usercpu_time_millis: 20.978, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 20.969,
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: 374.617, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.3878, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.4509, scimark_benchmark: 1317.01, usercpu_time_millis: 24.228, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 24.091,
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: 0.7885, f_measure: 0.7493, kappa: 0.3894, kb_relative_information_score: 243.9172, mean_absolute_error: 0.3126, 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: 0.7441, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8848, scimark_benchmark: 1278.2092, usercpu_time_millis: 136.023, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 136.001,
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: 0.7252, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 4.1162, mean_absolute_error: 0.4974, 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: 0.9948, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9949, scimark_benchmark: 1340.8652, usercpu_time_millis: 6.372, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 6.331,
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: 0.6014, f_measure: 0.5783, kappa: 0.0027, kb_relative_information_score: -9.8072, mean_absolute_error: 0.4186, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6403, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9881, scimark_benchmark: 1280.1357, usercpu_time_millis: 24.522, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 24.497,
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: 1321.7845, usercpu_time_millis: 16.69, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 16.68,
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: 1338.5334, usercpu_time_millis: 5.461, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 5.452,
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: 0.7541, f_measure: 0.6323, kappa: 0.104, kb_relative_information_score: 83.6435, mean_absolute_error: 0.3852, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.696, predictive_accuracy: 0.714, prior_entropy: 0.8818, recall: 0.714, relative_absolute_error: 0.9168, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.9331, scimark_benchmark: 1306.1831, usercpu_time_millis: 104.368, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 104.343,
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: 0.6183, f_measure: 0.6048, kappa: 0.0419, kb_relative_information_score: 26.2551, mean_absolute_error: 0.4047, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6369, predictive_accuracy: 0.698, prior_entropy: 0.8818, recall: 0.698, relative_absolute_error: 0.9632, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4495, root_relative_squared_error: 0.9809, scimark_benchmark: 1289.882, usercpu_time_millis: 32.836, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 32.81,
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: -0.0111, 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: 1302.4084, usercpu_time_millis: 7.34, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 7.33,
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: 0.7616, f_measure: 0.7064, kappa: 0.2712, kb_relative_information_score: 148.9709, mean_absolute_error: 0.3544, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7141, predictive_accuracy: 0.735, prior_entropy: 0.8818, recall: 0.735, relative_absolute_error: 0.8435, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.9082, scimark_benchmark: 1279.7471, usercpu_time_millis: 176.251, usercpu_time_millis_testing: -0.162, usercpu_time_millis_training: 176.413,
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: 0.7096, f_measure: 0.7278, kappa: 0.4892, kb_relative_information_score: 24.5497, mean_absolute_error: 0.484, 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: 0.9681, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4847, root_relative_squared_error: 0.9694, scimark_benchmark: 1336.8103, usercpu_time_millis: 10.36, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 10.349,
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: 0.6965, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 179.4292, mean_absolute_error: 0.3493, 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: 0.6986, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.417, root_relative_squared_error: 0.8341, scimark_benchmark: 1327.5592, usercpu_time_millis: 24.966, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 24.956,