Run
1810551

Run 1810551

Task 3964 (Supervised Classification) OVA_Lung Uploaded 28-07-2016 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
0.8649
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9638
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7544
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1033.2824
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0363
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1503
Cross-validation details (10-fold Crossvalidation)
Number of instances
1545
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9634
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9644
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.4095
Cross-validation details (10-fold Crossvalidation)
Recall
0.9644
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2414
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2737
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1885
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6889
Cross-validation details (10-fold Crossvalidation)