Run
1606645

Run 1606645

Task 3973 (Supervised Classification) OVA_Omentum Uploaded 19-07-2016 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_DecisionStump(14)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_DecisionStump(14)_P100
weka.AdaBoostM1_DecisionStump(14)_S1
weka.AdaBoostM1_DecisionStump(14)_I10
weka.AdaBoostM1_DecisionStump(14)_Wweka.classifiers.trees.DecisionStump

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
0.922
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9483
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4151
Cross-validation details (10-fold Crossvalidation)
KB relative information score
104.5717
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0568
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0952
Cross-validation details (10-fold Crossvalidation)
Number of instances
1545
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9458
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9521
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.2882
Cross-validation details (10-fold Crossvalidation)
Recall
0.9521
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5965
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2176
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1933
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8885
Cross-validation details (10-fold Crossvalidation)
Total cost