Run
26663

Run 26663

Task 1777 (Supervised Classification) breast-cancer Uploaded 08-10-2014 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(3)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.J48(3)_C0.25
weka.J48(3)_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
0.598
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Build CPU time
0.001
Cross-validation details (5 times 2-fold Crossvalidation)
Build memory
1126184080
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.6786
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.196
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
125.3673
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.3801
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.4183
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
1430
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6868
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.7175
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
0.8796
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.7175
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.9088
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.457
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.4548
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.9952
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
925.5458