Run
1672318

Run 1672318

Task 3481 (Supervised Classification) isolet Uploaded 20-07-2016 by Jan van Rijn
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Flow

weka.Bagging_RandomTree(9)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.RandomTree(11)_K0
weka.RandomTree(11)_M1.0
weka.RandomTree(11)_V0.001
weka.RandomTree(11)_S1
weka.Bagging_RandomTree(9)_P100
weka.Bagging_RandomTree(9)_S1
weka.Bagging_RandomTree(9)_num-slots1
weka.Bagging_RandomTree(9)_I10
weka.Bagging_RandomTree(9)_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.

17 Evaluation measures

Area under ROC curve
0.99
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8851
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8808
Cross-validation details (10-fold Crossvalidation)
KB relative information score
6469.3876
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0274
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.074
Cross-validation details (10-fold Crossvalidation)
Number of instances
7797
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8876
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8853
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.7004
Cross-validation details (10-fold Crossvalidation)
Recall
0.8853
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.37
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1923
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0992
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5157
Cross-validation details (10-fold Crossvalidation)