Run
1673302

Run 1673302

Task 3019 (Supervised Classification) Australian Uploaded 21-07-2016 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
0.9079
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8434
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6827
Cross-validation details (10-fold Crossvalidation)
KB relative information score
470.1542
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1565
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.8433
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8435
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8435
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3169
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3822
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.769
Cross-validation details (10-fold Crossvalidation)