Run
1810604

Run 1810604

Task 3529 (Supervised Classification) oh5.wc Uploaded 29-07-2016 by Jan van Rijn
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Flow

weka.AdaBoostM1_LMT(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.LMT(4)_I-1
weka.LMT(4)_M15
weka.LMT(4)_W0.0
weka.AdaBoostM1_LMT(3)_P100
weka.AdaBoostM1_LMT(3)_S1
weka.AdaBoostM1_LMT(3)_I10
weka.AdaBoostM1_LMT(3)_Wweka.classifiers.trees.LMT

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
0.9746
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8827
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8673
Cross-validation details (10-fold Crossvalidation)
KB relative information score
802.6427
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0238
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1775
Cross-validation details (10-fold Crossvalidation)
Number of instances
918
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8849
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8824
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.2382
Cross-validation details (10-fold Crossvalidation)
Recall
0.8824
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1343
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2979
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1487
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4991
Cross-validation details (10-fold Crossvalidation)