Run
1822678

Run 1822678

Task 18 (Supervised Classification) mfeat-morphological 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)_minbucket4
mlr.classif.rpart.preproc(16)_cp0.00159290394381662
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
0.9463
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7053
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6867
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1471.5134
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0687
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7093
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.718
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.718
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3815
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1931
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6435
Cross-validation details (10-fold Crossvalidation)