Run
2041993

Run 2041993

Task 145682 (Supervised Classification) spectrometer Uploaded 16-04-2017 by D E
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Flow

weka.Bagging_AdaBoostM1_J48(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.J48(38)_C0.17
weka.J48(38)_M10
weka.AdaBoostM1_J48(5)_P100
weka.AdaBoostM1_J48(5)_S1
weka.AdaBoostM1_J48(5)_I9
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)_I9
weka.Bagging_AdaBoostM1_J48(1)_Wweka.classifiers.meta.AdaBoostM1

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
0.9522
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5023
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.496
Cross-validation details (10-fold Crossvalidation)
KB relative information score
105.0996
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0378
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
0.4878
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5235
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.5235
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9537
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1331
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9462
Cross-validation details (10-fold Crossvalidation)