Run
1673766

Run 1673766

Task 3481 (Supervised Classification) isolet Uploaded 22-07-2016 by Jan van Rijn
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Flow

weka.AdaBoostM1_RandomTree(3)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.RandomTree(11)_K0
weka.RandomTree(11)_M1.0
weka.RandomTree(11)_V0.001
weka.RandomTree(11)_S1
weka.AdaBoostM1_RandomTree(3)_P100
weka.AdaBoostM1_RandomTree(3)_S1
weka.AdaBoostM1_RandomTree(3)_I10
weka.AdaBoostM1_RandomTree(3)_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
0.8355
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6844
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6711
Cross-validation details (10-fold Crossvalidation)
KB relative information score
5301.2949
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0243
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
0.6857
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6837
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.7004
Cross-validation details (10-fold Crossvalidation)
Recall
0.6837
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3289
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1923
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.156
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8111
Cross-validation details (10-fold Crossvalidation)