OpenML
1822697

Run 1822697

Task 18 (Supervised Classification) mfeat-morphological Uploaded 21-09-2016 by Rafael Gomes Mantovani
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Flow

mlr.classif.rpart.preproc(16)Learner mlr.classif.rpart.preproc from package(s) rpart.
mlr.classif.rpart.preproc(16)_minsplit32
mlr.classif.rpart.preproc(16)_minbucket8
mlr.classif.rpart.preproc(16)_cp0.0546237035913802
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
0.9234
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5235
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5406
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1304.2215
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0925
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
0.5706
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5865
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.5865
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.514
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2164
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7215
Cross-validation details (10-fold Crossvalidation)