Run
2081234

Run 2081234

Task 145682 (Supervised Classification) spectrometer Uploaded 20-04-2017 by Titus Kervezee
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Flow

weka.RandomizableFilteredClassifier_RandomForest(1)Weka implementation of RandomizableFilteredClassifier
weka.RandomForest(12)_P100
weka.RandomForest(12)_I100
weka.RandomForest(12)_num-slots1
weka.RandomForest(12)_K0
weka.RandomForest(12)_M1.0
weka.RandomForest(12)_V0.001
weka.RandomForest(12)_S1
weka.RandomizableFilteredClassifier_RandomForest(1)_S1
weka.RandomizableFilteredClassifier_RandomForest(1)_Fweka.filters.unsupervised.attribute.AddCluster -W "weka.clusterers.SimpleKMeans -init 0 -max-candidates 100 -periodic-pruning 10000 -min-density 2.0 -t1 -1.25 -t2 -1.0 -N 2 -A \"weka.core.EuclideanDistance -R first-last\" -I 500 -num-slots 1 -S 10"
weka.RandomizableFilteredClassifier_RandomForest(1)_Wweka.classifiers.trees.RandomForest

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
0.9361
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5326
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5422
Cross-validation details (10-fold Crossvalidation)
KB relative information score
267.1576
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0295
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
0.5321
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5687
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.5687
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.744
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1139
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.81
Cross-validation details (10-fold Crossvalidation)