Run
244201

Run 244201

Task 3810 (Supervised Classification) arsenic-male-bladder Uploaded 03-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.815
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9734
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6377
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.0608
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0388
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0837
Cross-validation details (10-fold Crossvalidation)
Number of instances
559
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9757
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9767
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.2628
Cross-validation details (10-fold Crossvalidation)
Recall
0.9767
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4635
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2027
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1516
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7477
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1419.2433
UserCPU time millis
50
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
50
Cross-validation details (10-fold Crossvalidation)