Run
10435247

Run 10435247

Task 146188 (Supervised Classification) analcatdata_fraud 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
0.4271 ± 0.3407
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5323 ± 0.2877
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.0687 ± 0.3911
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-0.1916 ± 0.7187
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4849 ± 0.2779
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4307 ± 0.0337
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.5238 ± 0.2709
Cross-validation details (10-fold Crossvalidation)
Number of instances
42
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Azul Systems, Inc.', '11.0.5', 'amd64', 'Windows 7', '6.1']
Precision
0.5429 ± 0.3251
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5238 ± 0.2709
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8929 ± 0.1019
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.1256 ± 0.6644
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4624 ± 0.0352
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.685 ± 0.2009
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.4814 ± 0.4536
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
979.7764
Unweighted recall
0.4642 ± 0.243
Cross-validation details (10-fold Crossvalidation)