Run
2072464

Run 2072464

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

weka.MultiSearch_RandomTree(1)Weka implementation of MultiSearch
weka.RandomTree(14)_K0
weka.RandomTree(14)_M1.0
weka.RandomTree(14)_V0.001
weka.RandomTree(14)_S1
weka.MultiSearch_RandomTree(1)_ECC
weka.MultiSearch_RandomTree(1)_class-label1
weka.MultiSearch_RandomTree(1)_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_RandomTree(1)_algorithmweka.classifiers.meta.multisearch.RandomSearch -sample-size 100.0 -num-folds 2 -test-set . -num-iterations 100 -num-slots 1 -S 1 -num-slots 1
weka.MultiSearch_RandomTree(1)_log-fileC:\Program Files\Weka-3-8
weka.MultiSearch_RandomTree(1)_S1
weka.MultiSearch_RandomTree(1)_Wweka.classifiers.trees.RandomTree

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
0.7489
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3458
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3246
Cross-validation details (10-fold Crossvalidation)
KB relative information score
194.8215
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0275
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
0.3604
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3635
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.3635
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6945
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1451
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0322
Cross-validation details (10-fold Crossvalidation)