Run
1867659

Run 1867659

Task 9946 (Supervised Classification) wdbc 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.ranger(7)Learner mlr.classif.ranger from package(s) ranger.
mlr.classif.ranger(7)_num.trees412
mlr.classif.ranger(7)_mtry21
mlr.classif.ranger(7)_sample.fraction0.208575903903693
mlr.classif.ranger(7)_respect.unordered.factorsTRUE
mlr.classif.ranger(7)_num.threads1
mlr.classif.ranger(7)_verboseFALSE
mlr.classif.ranger(7)_openml.seed1
mlr.classif.ranger(7)_openml.kindMersenne-Twister
mlr.classif.ranger(7)_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
0.9889
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9473
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8874
Cross-validation details (10-fold Crossvalidation)
KB relative information score
458.3285
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0981
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4676
Cross-validation details (10-fold Crossvalidation)
Number of instances
569
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9474
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9473
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.953
Cross-validation details (10-fold Crossvalidation)
Recall
0.9473
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2097
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4835
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1984
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4104
Cross-validation details (10-fold Crossvalidation)