Run
243724

Run 243724

Task 1812 (Supervised Classification) heart-c Uploaded 02-03-2015 by Joaquin Vanschoren
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Flow

weka.Logistic(5)le Cessie, S., van Houwelingen, J.C. (1992). Ridge Estimators in Logistic Regression. Applied Statistics. 41(1):191-201.
weka.Logistic(5)_R1.0E-8
weka.Logistic(5)_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
0.8795
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.8206
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.6371
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
811.7072
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.0886
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.2004
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
1515
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8214
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.8205
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
1.0792
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.8205
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.4421
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.315
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.2365
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.7507
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
1386.5717
UserCPU time millis
60
Cross-validation details (5 times 2-fold Crossvalidation)
UserCPU time millis training
60
Cross-validation details (5 times 2-fold Crossvalidation)