Run
501464

Run 501464

Task 35 (Supervised Classification) dermatology Uploaded 13-12-2015 by Casey Davis
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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
0.9923
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9753
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9692
Cross-validation details (10-fold Crossvalidation)
KB relative information score
353.5812
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0085
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2664
Cross-validation details (10-fold Crossvalidation)
Number of instances
366
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_60, amd64, Linux, 3.16.0-38-generic]
Precision
0.9754
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9754
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.4378
Cross-validation details (10-fold Crossvalidation)
Recall
0.9754
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.032
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3649
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0898
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2461
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1254.1389
UserCPU time millis
190
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
190
Cross-validation details (10-fold Crossvalidation)