Run
1810371

Run 1810371

Task 3979 (Supervised Classification) AP_Breast_Colon Uploaded 27-07-2016 by Jan van Rijn
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Flow

weka.AdaBoostM1_REPTree(4)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.REPTree(15)_M2
weka.REPTree(15)_V0.001
weka.REPTree(15)_N3
weka.REPTree(15)_S1
weka.REPTree(15)_L-1
weka.REPTree(15)_I0.0
weka.AdaBoostM1_REPTree(4)_P100
weka.AdaBoostM1_REPTree(4)_S1
weka.AdaBoostM1_REPTree(4)_I10
weka.AdaBoostM1_REPTree(4)_Wweka.classifiers.trees.REPTree

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
0.9825
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9667
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9327
Cross-validation details (10-fold Crossvalidation)
KB relative information score
587.7827
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0333
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4958
Cross-validation details (10-fold Crossvalidation)
Number of instances
630
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9667
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9667
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9939
Cross-validation details (10-fold Crossvalidation)
Recall
0.9667
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0672
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4979
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1688
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.339
Cross-validation details (10-fold Crossvalidation)