Run
1848708

Run 1848708

Task 9950 (Supervised Classification) micro-mass Uploaded 03-03-2017 by Giuseppe Casalicchio
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Flow

mlr.classif.cforest.preproc(2)Learner mlr.classif.cforest.preproc from package(s) party.
mlr.classif.cforest.preproc(2)_openml.seed1
mlr.classif.cforest.preproc(2)_openml.kindMersenne-Twister
mlr.classif.cforest.preproc(2)_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
0.9775
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.437
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4553
Cross-validation details (10-fold Crossvalidation)
KB relative information score
168.3765
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.086
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0941
Cross-validation details (10-fold Crossvalidation)
Number of instances
571
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5388
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5009
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.208
Cross-validation details (10-fold Crossvalidation)
Recall
0.5009
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9137
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2169
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9222
Cross-validation details (10-fold Crossvalidation)