Run
1810265

Run 1810265

Task 3524 (Supervised Classification) fbis.wc Uploaded 27-07-2016 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_J48(3)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.J48(33)_C0.25
weka.J48(33)_M2
weka.AdaBoostM1_J48(3)_P100
weka.AdaBoostM1_J48(3)_S1
weka.AdaBoostM1_J48(3)_I10
weka.AdaBoostM1_J48(3)_Wweka.classifiers.trees.J48

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
0.9664
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8029
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7836
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1956.4344
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0225
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1047
Cross-validation details (10-fold Crossvalidation)
Number of instances
2463
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8015
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8084
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.5848
Cross-validation details (10-fold Crossvalidation)
Recall
0.8084
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2145
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2288
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1397
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6103
Cross-validation details (10-fold Crossvalidation)