Run
280667

Run 280667

Task 13 (Supervised Classification) breast-cancer Uploaded 08-03-2015 by Joaquin Vanschoren
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Flow

weka.FT(1)Joao Gama (2004). Functional Trees. Niels Landwehr, Mark Hall, Eibe Frank (2005). Logistic Model Trees.
weka.FT(1)_I15
weka.FT(1)_F0
weka.FT(1)_M15
weka.FT(1)_W0.0

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.

22 Evaluation measures

Area under ROC curve
0.5375
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6253
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0785
Cross-validation details (10-fold Crossvalidation)
KB relative information score
12.6832
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3738
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4183
Cross-validation details (10-fold Crossvalidation)
Number of instances
286
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
0.616
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6399
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8796
Cross-validation details (10-fold Crossvalidation)
Recall
0.6399
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8935
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.457
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5521
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2081
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
912.7324
UserCPU time millis
70
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
60
Cross-validation details (10-fold Crossvalidation)