Run
2040499

Run 2040499

Task 145682 (Supervised Classification) spectrometer Uploaded 12-04-2017 by Milan Tresoor
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Flow

weka.J48(39)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.J48(39)_M2
weka.J48(39)_Rtrue
weka.J48(39)_N10
weka.J48(39)_Q1
weka.J48(39)_num-decimal-places3

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
0.8292
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3825
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3759
Cross-validation details (10-fold Crossvalidation)
KB relative information score
229.5505
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0273
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
0.3866
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4105
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.4105
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6883
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1292
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9189
Cross-validation details (10-fold Crossvalidation)
Total cost