Run
550068

Run 550068

Task 3823 (Supervised Classification) postoperative-patient-data Uploaded 08-04-2016 by Jan van Rijn
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  • study_15 study_20 weka weka_3.7.13
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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
0.3401
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5689
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.0835
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-11.0242
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4355
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4128
Cross-validation details (10-fold Crossvalidation)
Number of instances
90
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_77, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.4961
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6667
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8732
Cross-validation details (10-fold Crossvalidation)
Recall
0.6667
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0551
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4533
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5046
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1133
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
964.2409
UserCPU time millis
20
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
20
Cross-validation details (10-fold Crossvalidation)