Run
1854916

Run 1854916

Task 3918 (Supervised Classification) pc1 Uploaded 27-03-2017 by Philipp Probst
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • botV1 mlrRandomBot sciBenchV1.0
Issue #Downvotes for this reason By


Flow

mlr.classif.xgboost(4)Learner mlr.classif.xgboost from package(s) xgboost.
mlr.classif.xgboost(4)_eta0.0353991685067837
mlr.classif.xgboost(4)_max_depth11
mlr.classif.xgboost(4)_min_child_weight10.590627682715
mlr.classif.xgboost(4)_subsample0.779439367935993
mlr.classif.xgboost(4)_colsample_bytree0.647713866783306
mlr.classif.xgboost(4)_colsample_bylevel0.141594014363363
mlr.classif.xgboost(4)_lambda0.0846477159889147
mlr.classif.xgboost(4)_alpha0.0895164310959043
mlr.classif.xgboost(4)_nrounds4206
mlr.classif.xgboost(4)_verbose0
mlr.classif.xgboost(4)_openml.seed1
mlr.classif.xgboost(4)_openml.kindMersenne-Twister
mlr.classif.xgboost(4)_openml.normal.kindInversion

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.8067
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8969
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0663
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-211.2662
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1065
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1299
Cross-validation details (10-fold Crossvalidation)
Number of instances
1109
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8826
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.917
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3667
Cross-validation details (10-fold Crossvalidation)
Recall
0.917
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8202
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2542
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2462
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9687
Cross-validation details (10-fold Crossvalidation)