Run
10435169

Run 10435169

Task 4198 (Supervised Classification) monks-problems-2 Uploaded 29-12-2019 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
0.5402 ± 0.0701
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.5026 ± 0.0179
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
-0.0736 ± 0.0599
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
-0.0237 ± 0.0341
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.4476 ± 0.0109
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4507 ± 0.0025
Cross-validation details (10 times 10-fold Crossvalidation)
Weighted recall
0.6191 ± 0.034
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
6010
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
['Azul Systems, Inc.', '11.0.5', 'amd64', 'Windows 7', '6.1']
Precision
0.423 ± 0.0124
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.6191 ± 0.034
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9274 ± 0.0074
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.9931 ± 0.0235
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4746 ± 0.0026
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4794 ± 0.0101
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.01 ± 0.0201
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1015.7068
Unweighted recall
0.471 ± 0.0252
Cross-validation details (10 times 10-fold Crossvalidation)