Run
1868708

Run 1868708

Task 37 (Supervised Classification) diabetes Uploaded 28-03-2017 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)_eta0.0035627418979028
mlr.classif.xgboost(4)_max_depth5
mlr.classif.xgboost(4)_min_child_weight2.70380089643914
mlr.classif.xgboost(4)_subsample0.262044149311259
mlr.classif.xgboost(4)_colsample_bytree0.896184985060245
mlr.classif.xgboost(4)_colsample_bylevel0.863612422486767
mlr.classif.xgboost(4)_lambda13.3700284642081
mlr.classif.xgboost(4)_alpha0.0337261556106139
mlr.classif.xgboost(4)_nrounds3086
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
0.8301
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7559
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4543
Cross-validation details (10-fold Crossvalidation)
KB relative information score
251.2205
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3116
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4545
Cross-validation details (10-fold Crossvalidation)
Number of instances
768
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7558
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7617
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.7617
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6857
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3979
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8348
Cross-validation details (10-fold Crossvalidation)