Run
286224

Run 286224

Task 1777 (Supervised Classification) breast-cancer Uploaded 12-03-2015 by Joaquin Vanschoren
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Flow

weka.J48graft(1)Geoff Webb: Decision Tree Grafting From the All-Tests-But-One Partition. In: , San Francisco, CA, 1999.
weka.J48graft(1)_C0.25
weka.J48graft(1)_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.

22 Evaluation measures

Area under ROC curve
0.5944
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.677
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.1921
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
127.0531
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.3797
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
0.6865
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
0.9078
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
0.4552
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.9961
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
892.0148
UserCPU time millis
Cross-validation details (5 times 2-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (5 times 2-fold Crossvalidation)