Run
10435175

Run 10435175

Task 1882 (Supervised Classification) anneal 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.

19 Evaluation measures

Area under ROC curve
0.9416 ± 0.0215
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8734 ± 0.0297
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.6868 ± 0.0721
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
0.6751 ± 0.0584
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0519 ± 0.0076
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.1343 ± 0.0015
Cross-validation details (10 times 10-fold Crossvalidation)
Weighted recall
0.8773 ± 0.029
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
8980
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
['Azul Systems, Inc.', '11.0.5', 'amd64', 'Windows 7', '6.1']
Precision
0.8743 ± 0.0286
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8773 ± 0.029
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
1.1915 ± 0.0296
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.3865 ± 0.057
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.2582 ± 0.0029
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.1723 ± 0.0189
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.6671 ± 0.0733
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1015.7068