OpenML
550191

Run 550191

Task 3988 (Supervised Classification) AP_Endometrium_Lung 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
0.9591
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9159
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8133
Cross-validation details (10-fold Crossvalidation)
KB relative information score
147.6091
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.088
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4402
Cross-validation details (10-fold Crossvalidation)
Number of instances
187
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
0.9228
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9144
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9129
Cross-validation details (10-fold Crossvalidation)
Recall
0.9144
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1998
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4688
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2863
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6107
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1356.0643
UserCPU time millis
690540
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
40
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
690500
Cross-validation details (10-fold Crossvalidation)