OpenML
550049

Run 550049

Task 3784 (Supervised Classification) analcatdata_seropositive 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
0.9666
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9308
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.846
Cross-validation details (10-fold Crossvalidation)
KB relative information score
107.1786
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0903
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4548
Cross-validation details (10-fold Crossvalidation)
Number of instances
132
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
0.9329
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9318
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9347
Cross-validation details (10-fold Crossvalidation)
Recall
0.9318
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1986
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4765
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2141
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4494
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
939.6553
UserCPU time millis
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10-fold Crossvalidation)