Run
10435207

Run 10435207

Task 4487 (Supervised Classification) rabe_166 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
0.9555 ± 0.1197
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8276 ± 0.1635
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.6546 ± 0.3524
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
0.666 ± 0.258
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1704 ± 0.1216
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4988 ± 0.0036
Cross-validation details (10 times 10-fold Crossvalidation)
Weighted recall
0.8275 ± 0.1693
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
400
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
['Azul Systems, Inc.', '11.0.5', 'amd64', 'Windows 7', '6.1']
Precision
0.8279 ± 0.1409
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8275 ± 0.1693
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9982 ± 0.0104
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.3416 ± 0.2437
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4994 ± 0.0036
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3128 ± 0.1744
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.6264 ± 0.3489
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
979.7764
Unweighted recall
0.8277 ± 0.1759
Cross-validation details (10 times 10-fold Crossvalidation)