Run
91895

Run 91895

Task 3592 (Supervised Classification) fri_c2_100_5 Uploaded 08-12-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.J48(13)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.J48(13)_C0.25
weka.J48(13)_M2

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.

21 Evaluation measures

Area under ROC curve
0.6935
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0006
Cross-validation details (10-fold Crossvalidation)
Build memory
295383090.4
Cross-validation details (10-fold Crossvalidation)
F measure
0.7467
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4681
Cross-validation details (10-fold Crossvalidation)
KB relative information score
39.5617
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2953
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4804
Cross-validation details (10-fold Crossvalidation)
Number of instances
100
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7473
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.75
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9721
Cross-validation details (10-fold Crossvalidation)
Recall
0.75
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6146
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4899
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4746
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9687
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
922.2602