Run
10435216

Run 10435216

Task 4496 (Supervised Classification) rabe_97 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
0.8778 ± 0.1273
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9065 ± 0.1463
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.8117 ± 0.2959
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
0.7935 ± 0.3004
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1044 ± 0.1495
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4964 ± 0.0056
Cross-validation details (10 times 10-fold Crossvalidation)
Weighted recall
0.9065 ± 0.1513
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
460
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
['Azul Systems, Inc.', '11.0.5', 'amd64', 'Windows 7', '6.1']
Precision
0.9066 ± 0.1103
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9065 ± 0.1513
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9945 ± 0.0161
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.2103 ± 0.2986
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4981 ± 0.0056
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3088 ± 0.2441
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.62 ± 0.4871
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
979.7764
Unweighted recall
0.906 ± 0.1455
Cross-validation details (10 times 10-fold Crossvalidation)