Run
10435225

Run 10435225

Task 4406 (Supervised Classification) sleuth_case1102 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
0.4047 ± 0.3565
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.4275 ± 0.2516
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
-0.1637 ± 0.4465
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
-0.1115 ± 0.3379
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.5424 ± 0.1532
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4935 ± 0.0123
Cross-validation details (10 times 10-fold Crossvalidation)
Weighted recall
0.4294 ± 0.231
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
340
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
['Azul Systems, Inc.', '11.0.5', 'amd64', 'Windows 7', '6.1']
Precision
0.426 ± 0.2969
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.4294 ± 0.231
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.99 ± 0.0358
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
1.0991 ± 0.3122
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4965 ± 0.0124
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.6318 ± 0.1433
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.2724 ± 0.2894
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
979.7764
Unweighted recall
0.4186 ± 0.2411
Cross-validation details (10 times 10-fold Crossvalidation)