Run
1810370

Run 1810370

Task 3992 (Supervised Classification) AP_Breast_Kidney 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
0.9892
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9685
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9358
Cross-validation details (10-fold Crossvalidation)
KB relative information score
562.6456
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0335
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4904
Cross-validation details (10-fold Crossvalidation)
Number of instances
604
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9685
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9685
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9861
Cross-validation details (10-fold Crossvalidation)
Recall
0.9685
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0684
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4951
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.174
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3515
Cross-validation details (10-fold Crossvalidation)