Run
1815359

Run 1815359

Task 3512 (Supervised Classification) synthetic_control Uploaded 09-09-2016 by Michel Lang
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

mlr.classif.rpart.preproc.preproc.tuned(41)Learner mlr.classif.rpart.preproc.preproc.tuned from package(s) rpart.
mlr.classif.rpart.preproc.preproc.tuned(41)_openml.seed1
mlr.classif.rpart.preproc.preproc.tuned(41)_openml.kindMersenne-Twister
mlr.classif.rpart.preproc.preproc.tuned(41)_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
0.94
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8997
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.88
Cross-validation details (10-fold Crossvalidation)
KB relative information score
533.8947
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0333
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2778
Cross-validation details (10-fold Crossvalidation)
Number of instances
600
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.901
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.9
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.12
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3727
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1826
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4899
Cross-validation details (10-fold Crossvalidation)