Run
10435260

Run 10435260

Task 4459 (Supervised Classification) sleuth_case1202 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
0.8931 ± 0.0984
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.812 ± 0.1126
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.602 ± 0.233
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
0.5273 ± 0.1752
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2295 ± 0.0774
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.475 ± 0.0104
Cross-validation details (10 times 10-fold Crossvalidation)
Weighted recall
0.8129 ± 0.113
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
930
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
['Azul Systems, Inc.', '11.0.5', 'amd64', 'Windows 7', '6.1']
Precision
0.8116 ± 0.1081
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8129 ± 0.113
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9629 ± 0.0305
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.4831 ± 0.1595
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4871 ± 0.0107
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3666 ± 0.1077
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.7526 ± 0.2167
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
979.7764
Unweighted recall
0.7982 ± 0.1172
Cross-validation details (10 times 10-fold Crossvalidation)