Run
225960

Run 225960

Task 1893 (Supervised Classification) breast-cancer Uploaded 01-03-2015 by Joaquin Vanschoren
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Flow

weka.IB1(1)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.

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
0.6014
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.6743
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.2092
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
505.616
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.3203
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4183
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
2860
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6702
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.6797
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.8796
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.6797
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.7656
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.457
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.5659
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.2383
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
854.5188
UserCPU time millis
30
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
30
Cross-validation details (10 times 10-fold Crossvalidation)