Run
2081226

Run 2081226

Task 145682 (Supervised Classification) spectrometer Uploaded 20-04-2017 by Laurens Castelijns
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Flow

weka.Bagging_AttributeSelectedClassifier_RandomForest(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.RandomForest(12)_P100
weka.RandomForest(12)_I47
weka.RandomForest(12)_num-slots1
weka.RandomForest(12)_K1
weka.RandomForest(12)_M1.0
weka.RandomForest(12)_V0.001
weka.RandomForest(12)_S1
weka.RandomForest(12)_depth11
weka.AttributeSelectedClassifier_RandomForest(2)_Eweka.attributeSelection.CfsSubsetEval -M -P 1 -E 1
weka.AttributeSelectedClassifier_RandomForest(2)_Sweka.attributeSelection.BestFirst -D 1 -N 2
weka.AttributeSelectedClassifier_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.Bagging_AttributeSelectedClassifier_RandomForest(1)_P100
weka.Bagging_AttributeSelectedClassifier_RandomForest(1)_S1
weka.Bagging_AttributeSelectedClassifier_RandomForest(1)_num-slots1
weka.Bagging_AttributeSelectedClassifier_RandomForest(1)_I11
weka.Bagging_AttributeSelectedClassifier_RandomForest(1)_Wweka.classifiers.meta.AttributeSelectedClassifier

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
0.9392
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5343
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5444
Cross-validation details (10-fold Crossvalidation)
KB relative information score
273.4455
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
0.5263
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5706
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.5706
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7347
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1132
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8048
Cross-validation details (10-fold Crossvalidation)