Run
554682

Run 554682

Task 3691 (Supervised Classification) sensory Uploaded 10-04-2016 by Martijn Post
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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
0.6545
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6354
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2435
Cross-validation details (10-fold Crossvalidation)
KB relative information score
67.4553
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4348
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4856
Cross-validation details (10-fold Crossvalidation)
Number of instances
576
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_66, amd64, Windows 10, 10.0]
Precision
0.637
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6441
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9792
Cross-validation details (10-fold Crossvalidation)
Recall
0.6441
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8953
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4927
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4765
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9672
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1327.5254
UserCPU time millis
15.625
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
15.625
Cross-validation details (10-fold Crossvalidation)