Run
2042320

Run 2042320

Task 145682 (Supervised Classification) spectrometer Uploaded 17-04-2017 by D E
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Flow

weka.FilteredClassifier_FilteredClassifier_Bagging_AdaBoostM1_J48(1)Weka implementation of FilteredClassifier
weka.J48(38)_C0.15
weka.J48(38)_M10
weka.AdaBoostM1_J48(5)_P100
weka.AdaBoostM1_J48(5)_S1
weka.AdaBoostM1_J48(5)_I10
weka.AdaBoostM1_J48(5)_Wweka.classifiers.trees.J48
weka.Bagging_AdaBoostM1_J48(1)_P100
weka.Bagging_AdaBoostM1_J48(1)_S1
weka.Bagging_AdaBoostM1_J48(1)_num-slots1
weka.Bagging_AdaBoostM1_J48(1)_I10
weka.Bagging_AdaBoostM1_J48(1)_Wweka.classifiers.meta.AdaBoostM1
weka.FilteredClassifier_Bagging_AdaBoostM1_J48(1)_Fweka.filters.supervised.instance.Resample -B 0.055 -S 1 -Z 100.0
weka.FilteredClassifier_Bagging_AdaBoostM1_J48(1)_Wweka.classifiers.meta.Bagging
weka.FilteredClassifier_FilteredClassifier_Bagging_AdaBoostM1_J48(1)_Fweka.filters.unsupervised.attribute.Normalize -S 1.0 -T 0.0
weka.FilteredClassifier_FilteredClassifier_Bagging_AdaBoostM1_J48(1)_Wweka.classifiers.meta.FilteredClassifier

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
0.9442
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4839
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4839
Cross-validation details (10-fold Crossvalidation)
KB relative information score
140.476
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0361
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
0.4742
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5122
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.5122
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9116
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1286
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9145
Cross-validation details (10-fold Crossvalidation)