Run
1671300

Run 1671300

Task 3962 (Supervised Classification) OVA_Breast Uploaded 20-07-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_HoeffdingTree(3)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.HoeffdingTree(4)_L2
weka.HoeffdingTree(4)_S1
weka.HoeffdingTree(4)_E1.0E-7
weka.HoeffdingTree(4)_H0.05
weka.HoeffdingTree(4)_M0.01
weka.HoeffdingTree(4)_G200.0
weka.HoeffdingTree(4)_N0.0
weka.Bagging_HoeffdingTree(3)_P100
weka.Bagging_HoeffdingTree(3)_S1
weka.Bagging_HoeffdingTree(3)_num-slots1
weka.Bagging_HoeffdingTree(3)_I10
weka.Bagging_HoeffdingTree(3)_Wweka.classifiers.trees.HoeffdingTree

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
0.961
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9681
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9073
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1368.1941
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0355
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3464
Cross-validation details (10-fold Crossvalidation)
Number of instances
1545
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9681
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9683
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7656
Cross-validation details (10-fold Crossvalidation)
Recall
0.9683
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1024
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.416
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1725
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4147
Cross-validation details (10-fold Crossvalidation)