Run
501448

Run 501448

Task 10095 (Supervised Classification) breast-tissue Uploaded 13-12-2015 by Casey Davis
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Flow

weka.Logistic(6)le Cessie, S., van Houwelingen, J.C. (1992). Ridge Estimators in Logistic Regression. Applied Statistics. 41(1):191-201.
weka.Logistic(6)_R1.0E-8
weka.Logistic(6)_M-1

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
0.6929
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.3753
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2571
Cross-validation details (10-fold Crossvalidation)
KB relative information score
27.9931
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.229
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2763
Cross-validation details (10-fold Crossvalidation)
Number of instances
106
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_60, amd64, Linux, 3.16.0-38-generic]
Precision
0.3706
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.3868
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.5667
Cross-validation details (10-fold Crossvalidation)
Recall
0.3868
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.829
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3716
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3727
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0029
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1254.1389
UserCPU time millis
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10-fold Crossvalidation)