Run
10435215

Run 10435215

Task 4418 (Supervised Classification) schlvote 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
0.7391 ± 0.3375
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8084 ± 0.201
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.4873 ± 0.5205
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
0.2509 ± 0.3947
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2809 ± 0.1283
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.3934 ± 0.0151
Cross-validation details (10 times 10-fold Crossvalidation)
Weighted recall
0.8184 ± 0.1749
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
380
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
['Azul Systems, Inc.', '11.0.5', 'amd64', 'Windows 7', '6.1']
Precision
0.8091 ± 0.1878
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8184 ± 0.1749
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.832 ± 0.0469
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.714 ± 0.3258
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4405 ± 0.0166
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4018 ± 0.1569
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9121 ± 0.3565
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
979.7764
Unweighted recall
0.7225 ± 0.2635
Cross-validation details (10 times 10-fold Crossvalidation)