Run
10435251

Run 10435251

Task 4453 (Supervised Classification) transplant 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
0.9977 ± 0.0102
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9855 ± 0.0343
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.9689 ± 0.0735
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
0.9662 ± 0.0739
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0153 ± 0.0332
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4648 ± 0.0081
Cross-validation details (10 times 10-fold Crossvalidation)
Weighted recall
0.9855 ± 0.0337
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
1310
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
['Azul Systems, Inc.', '11.0.5', 'amd64', 'Windows 7', '6.1']
Precision
0.9857 ± 0.0276
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9855 ± 0.0337
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9479 ± 0.0238
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.0329 ± 0.0714
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4818 ± 0.0085
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.1189 ± 0.1073
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.2468 ± 0.223
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
979.7764
Unweighted recall
0.9864 ± 0.0357
Cross-validation details (10 times 10-fold Crossvalidation)