Run
1603374

Run 1603374

Task 6 (Supervised Classification) letter 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
0.6512
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.0109
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0329
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2445.7166
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0726
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.074
Cross-validation details (10-fold Crossvalidation)
Number of instances
20000
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.0059
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.0709
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.6998
Cross-validation details (10-fold Crossvalidation)
Recall
0.0709
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9815
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1923
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1905
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9907
Cross-validation details (10-fold Crossvalidation)