Run
2040471

Run 2040471

Task 145682 (Supervised Classification) spectrometer Uploaded 11-04-2017 by Wouter Nuijten
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Flow

weka.CVParameterSelection_J48(1)R. Kohavi (1995). Wrappers for Performance Enhancement and Oblivious Decision Graphs. Department of Computer Science, Stanford University.
weka.J48(38)_C0.25
weka.J48(38)_M2
weka.CVParameterSelection_J48(1)_X10
weka.CVParameterSelection_J48(1)_S1
weka.CVParameterSelection_J48(1)_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
0.7476
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4571
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4269
Cross-validation details (10-fold Crossvalidation)
KB relative information score
223.3622
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0233
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
0.4635
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4557
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.4557
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5877
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1423
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0119
Cross-validation details (10-fold Crossvalidation)