Run
1673268

Run 1673268

Task 3962 (Supervised Classification) OVA_Breast Uploaded 21-07-2016 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.AdaBoostM1_IBk(5)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.IBk(7)_K1
weka.IBk(7)_W0
weka.IBk(7)_Atrue
weka.AdaBoostM1_IBk(5)_P100
weka.AdaBoostM1_IBk(5)_S1
weka.AdaBoostM1_IBk(5)_I10
weka.AdaBoostM1_IBk(5)_Wweka.classifiers.lazy.IBk

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
0.9011
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9302
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7989
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1185.1791
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0705
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
0.9304
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9301
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7656
Cross-validation details (10-fold Crossvalidation)
Recall
0.9301
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2036
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.416
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2642
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6351
Cross-validation details (10-fold Crossvalidation)