Run
2081913

Run 2081913

Task 145682 (Supervised Classification) spectrometer Uploaded 21-04-2017 by Wouter Nuijten
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Flow

weka.AdaBoostM1_J48(5)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(38)_C0.25
weka.J48(38)_M5
weka.AdaBoostM1_J48(5)_P100
weka.AdaBoostM1_J48(5)_S1
weka.AdaBoostM1_J48(5)_I10
weka.AdaBoostM1_J48(5)_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
0.8821
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4675
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.446
Cross-validation details (10-fold Crossvalidation)
KB relative information score
241.6442
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0251
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0396
Cross-validation details (10-fold Crossvalidation)
Number of instances
531
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.4833
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4765
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.4765
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6333
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1244
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.885
Cross-validation details (10-fold Crossvalidation)