Run
1815460

Run 1815460

Task 9905 (Supervised Classification) autoUniv-au7-700 Uploaded 09-09-2016 by Michel Lang
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Flow

mlr.classif.rpart.preproc.preproc.tuned(62)Learner mlr.classif.rpart.preproc.preproc.tuned from package(s) rpart.
mlr.classif.rpart.preproc.preproc.tuned(62)_openml.seed1
mlr.classif.rpart.preproc.preproc.tuned(62)_openml.kindMersenne-Twister
mlr.classif.rpart.preproc.preproc.tuned(62)_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.

arff
Trace

ARFF file with the trace of all hyperparameter settings tried during optimization, and their performance.

17 Evaluation measures

Area under ROC curve
0.6436
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5227
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2857
Cross-validation details (10-fold Crossvalidation)
KB relative information score
242.5335
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3171
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4437
Cross-validation details (10-fold Crossvalidation)
Number of instances
700
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.5215
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5243
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5824
Cross-validation details (10-fold Crossvalidation)
Recall
0.5243
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7148
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.471
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5632
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1957
Cross-validation details (10-fold Crossvalidation)