Run
10435236

Run 10435236

Task 4462 (Supervised Classification) rabe_148 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
0.9494 ± 0.0721
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9424 ± 0.0842
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.8848 ± 0.1633
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
0.8853 ± 0.163
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.0573 ± 0.0814
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10 times 10-fold Crossvalidation)
Weighted recall
0.9424 ± 0.0825
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
660
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
['Azul Systems, Inc.', '11.0.5', 'amd64', 'Windows 7', '6.1']
Precision
0.9425 ± 0.0636
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.9424 ± 0.0825
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.1147 ± 0.1627
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.2376 ± 0.1922
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.4753 ± 0.3844
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
979.7764
Unweighted recall
0.9424 ± 0.0792
Cross-validation details (10 times 10-fold Crossvalidation)