Run
10435222

Run 10435222

Task 4583 (Supervised Classification) confidence 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
0.871 ± 0.1722
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8597 ± 0.1265
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.4614 ± 0.4695
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
0.2159 ± 0.4399
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1742 ± 0.0787
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.2838 ± 0.0279
Cross-validation details (10 times 10-fold Crossvalidation)
Weighted recall
0.8708 ± 0.1095
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
720
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
['Azul Systems, Inc.', '11.0.5', 'amd64', 'Windows 7', '6.1']
Precision
0.858 ± 0.1147
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8708 ± 0.1095
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.6504 ± 0.0961
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.614 ± 0.2851
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3728 ± 0.0353
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3047 ± 0.109
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.8172 ± 0.2934
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
979.7764
Unweighted recall
0.6992 ± 0.2401
Cross-validation details (10 times 10-fold Crossvalidation)