Run
10435224

Run 10435224

Task 4443 (Supervised Classification) rabe_131 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
0.9404 ± 0.1234
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.9239 ± 0.1324
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.8436 ± 0.2742
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
0.8425 ± 0.2609
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.076 ± 0.1254
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4877 ± 0.0093
Cross-validation details (10 times 10-fold Crossvalidation)
Weighted recall
0.924 ± 0.1296
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
500
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
['Azul Systems, Inc.', '11.0.5', 'amd64', 'Windows 7', '6.1']
Precision
0.9239 ± 0.1105
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.924 ± 0.1296
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9815 ± 0.027
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.1559 ± 0.2571
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4936 ± 0.0092
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.2707 ± 0.2268
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.5485 ± 0.4588
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
979.7764
Unweighted recall
0.9207 ± 0.1357
Cross-validation details (10 times 10-fold Crossvalidation)