Run
1604037

Run 1604037

Task 3531 (Supervised Classification) la1s.wc 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
0.6467
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3339
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2388
Cross-validation details (10-fold Crossvalidation)
KB relative information score
649.5962
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2266
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2665
Cross-validation details (10-fold Crossvalidation)
Number of instances
3204
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.2974
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4529
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.4437
Cross-validation details (10-fold Crossvalidation)
Recall
0.4529
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8501
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.365
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3366
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9222
Cross-validation details (10-fold Crossvalidation)
Total cost