Run
10435227

Run 10435227

Task 4255 (Supervised Classification) analcatdata_asbestos Uploaded 30-12-2019 by chimi wangmo
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Flow

weka.classifiers.functions.Logistic(3)le Cessie, S., van Houwelingen, J.C. (1992). Ridge Estimators in Logistic Regression. Applied Statistics. 41(1):191-201.
weka.classifiers.functions.Logistic(3)_C["false"]
weka.classifiers.functions.Logistic(3)_R["1.0E-8"]
weka.classifiers.functions.Logistic(3)_M["-1"]
weka.classifiers.functions.Logistic(3)_output-debug-info["false"]
weka.classifiers.functions.Logistic(3)_-do-not-check-capabilities["false"]
weka.classifiers.functions.Logistic(3)_num-decimal-places["4"]

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

20 Evaluation measures

Area under ROC curve
0.8392 ± 0.164
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7921 ± 0.1362
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.5816 ± 0.2705
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
0.4304 ± 0.1714
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2961 ± 0.0782
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4943 ± 0.0055
Cross-validation details (10 times 10-fold Crossvalidation)
Weighted recall
0.7916 ± 0.1354
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
830
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
['Azul Systems, Inc.', '11.0.5', 'amd64', 'Windows 7', '6.1']
Precision
0.7949 ± 0.1323
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.7916 ± 0.1354
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9915 ± 0.016
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.5992 ± 0.1575
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4971 ± 0.0056
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3954 ± 0.0999
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.7954 ± 0.2005
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
979.7764
Unweighted recall
0.7932 ± 0.1357
Cross-validation details (10 times 10-fold Crossvalidation)