Run
2040473

Run 2040473

Task 145682 (Supervised Classification) spectrometer Uploaded 11-04-2017 by Wouter Nuijten
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Flow

weka.Vote_RandomForest(3)Ludmila I. Kuncheva (2004). Combining Pattern Classifiers: Methods and Algorithms. John Wiley and Sons, Inc.. J. Kittler, M. Hatef, Robert P.W. Duin, J. Matas (1998). On combining classifiers. IEEE Transactions on Pattern Analysis and Machine Intelligence. 20(3):226-239.
weka.Vote_RandomForest(3)_RAVG
weka.Vote_RandomForest(3)_S1
weka.Vote_RandomForest(3)_Bweka.classifiers.trees.RandomForest -P 100 -I 100 -num-slots 1 -K 0 -M 1.0 -V 0.001 -S 1

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.

17 Evaluation measures

Area under ROC curve
0.9217
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4435
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4253
Cross-validation details (10-fold Crossvalidation)
KB relative information score
256.7124
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0291
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
0.4401
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
0.7344
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.118
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8395
Cross-validation details (10-fold Crossvalidation)