Run
10435210

Run 10435210

Task 4360 (Supervised Classification) elusage 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
0.9254 ± 0.0976
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8508 ± 0.1482
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.6966 ± 0.2985
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
0.683 ± 0.2437
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1568 ± 0.1173
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4922 ± 0.0071
Cross-validation details (10 times 10-fold Crossvalidation)
Weighted recall
0.8509 ± 0.1452
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
550
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
['Azul Systems, Inc.', '11.0.5', 'amd64', 'Windows 7', '6.1']
Precision
0.8508 ± 0.1212
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8509 ± 0.1452
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9883 ± 0.0207
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.3186 ± 0.2378
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4959 ± 0.0072
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3403 ± 0.1896
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.6862 ± 0.3817
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
979.7764
Unweighted recall
0.848 ± 0.1494
Cross-validation details (10 times 10-fold Crossvalidation)