Run
1828310

Run 1828310

Task 9957 (Supervised Classification) qsar-biodeg Uploaded 21-09-2016 by Rafael Gomes Mantovani
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

mlr.classif.rpart.preproc(16)Learner mlr.classif.rpart.preproc from package(s) rpart.
mlr.classif.rpart.preproc(16)_minsplit2
mlr.classif.rpart.preproc(16)_minbucket8
mlr.classif.rpart.preproc(16)_cp0.0211304460204927
mlr.classif.rpart.preproc(16)_xval0
mlr.classif.rpart.preproc(16)_openml.seed1
mlr.classif.rpart.preproc(16)_openml.kindMersenne-Twister
mlr.classif.rpart.preproc(16)_openml.normal.kindInversion

Result files

rds
BenchmarkResult

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
0.8131
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7989
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5481
Cross-validation details (10-fold Crossvalidation)
KB relative information score
417.8308
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2789
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4472
Cross-validation details (10-fold Crossvalidation)
Number of instances
1055
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7982
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9226
Cross-validation details (10-fold Crossvalidation)
Recall
0.8
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6237
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4728
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3935
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8321
Cross-validation details (10-fold Crossvalidation)