Run
2041897

Run 2041897

Task 145682 (Supervised Classification) spectrometer Uploaded 15-04-2017 by Stilyan Tonchev
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Flow

weka.Bagging_REPTree(26)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(26)_P100
weka.Bagging_REPTree(26)_S1
weka.Bagging_REPTree(26)_num-slots1
weka.Bagging_REPTree(26)_I10
weka.Bagging_REPTree(26)_Wweka.classifiers.trees.REPTree
weka.Bagging_REPTree(26)_batch-size200
weka.REPTree(18)_M2
weka.REPTree(18)_V0.001
weka.REPTree(18)_N3
weka.REPTree(18)_S1
weka.REPTree(18)_L-1
weka.REPTree(18)_I0.0

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
0.432
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.0194
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
7.1044
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0396
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
0.0107
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.1036
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.1036
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9978
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1407
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0003
Cross-validation details (10-fold Crossvalidation)