Run
1815178

Run 1815178

Task 3 (Supervised Classification) kr-vs-kp Uploaded 09-09-2016 by Michel Lang
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Flow

mlr.classif.glmnet.preproc.preproc.tuned(2)Learner mlr.classif.glmnet.preproc.preproc.tuned from package(s) glmnet.
mlr.classif.glmnet.preproc.preproc.tuned(2)_openml.seed1
mlr.classif.glmnet.preproc.preproc.tuned(2)_openml.kindMersenne-Twister
mlr.classif.glmnet.preproc.preproc.tuned(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.

arff
Trace

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

17 Evaluation measures

Area under ROC curve
0.9506
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9509
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9015
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2881.0993
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0491
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.499
Cross-validation details (10-fold Crossvalidation)
Number of instances
3196
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9509
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9509
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9986
Cross-validation details (10-fold Crossvalidation)
Recall
0.9509
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0984
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4995
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2216
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4437
Cross-validation details (10-fold Crossvalidation)