Run
10435241

Run 10435241

Task 4461 (Supervised Classification) visualizing_hamster 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
0.6084 ± 0.2038
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.5772 ± 0.1681
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.1465 ± 0.3136
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
0.0644 ± 0.1266
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.4694 ± 0.0519
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4955 ± 0.0031
Cross-validation details (10 times 10-fold Crossvalidation)
Weighted recall
0.5849 ± 0.1567
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
730
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
['Azul Systems, Inc.', '11.0.5', 'amd64', 'Windows 7', '6.1']
Precision
0.58 ± 0.1986
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.5849 ± 0.1567
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9934 ± 0.0089
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.9474 ± 0.1052
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4977 ± 0.0031
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.5027 ± 0.0594
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.01 ± 0.1197
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
979.7764
Unweighted recall
0.5719 ± 0.1558
Cross-validation details (10 times 10-fold Crossvalidation)