Run
2072440

Run 2072440

Task 145682 (Supervised Classification) spectrometer Uploaded 19-04-2017 by Titus Kervezee
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Flow

weka.MultiSearch_J48(5)Weka implementation of MultiSearch
weka.J48(38)_C0.25
weka.J48(38)_M2
weka.MultiSearch_J48(5)_ECC
weka.MultiSearch_J48(5)_class-label1
weka.MultiSearch_J48(5)_search[weka.core.setupgenerator.MathParameter -property ridge -min -10.0 -max 5.0 -step 1.0 -base 10.0 -expression pow(BASE,I)]
weka.MultiSearch_J48(5)_algorithmweka.classifiers.meta.multisearch.DefaultSearch -sample-size 100.0 -initial-folds 2 -subsequent-folds 10 -initial-test-set . -subsequent-test-set . -num-slots 1 -num-slots 1
weka.MultiSearch_J48(5)_log-fileC:\Program Files\Weka-3-8
weka.MultiSearch_J48(5)_S1
weka.MultiSearch_J48(5)_Wweka.classifiers.trees.J48

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

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
0.7476
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4571
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4269
Cross-validation details (10-fold Crossvalidation)
KB relative information score
223.3622
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0233
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0396
Cross-validation details (10-fold Crossvalidation)
Number of instances
531
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.4635
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4557
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.4557
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5877
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1423
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0119
Cross-validation details (10-fold Crossvalidation)