Run
10435196

Run 10435196

Task 1778 (Supervised Classification) mfeat-fourier 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
0.8668 ± 0.0245
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.6948 ± 0.0147
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.663 ± 0.017
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
0.6876 ± 0.0172
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.0608 ± 0.003
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (5 times 2-fold Crossvalidation)
Weighted recall
0.6967 ± 0.0153
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
10000
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
OS information
['Azul Systems, Inc.', '11.0.5', 'amd64', 'Windows 7', '6.1']
Precision
0.6934 ± 0.0145
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.6967 ± 0.0153
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.3379 ± 0.0168
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.2425 ± 0.0076
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.8084 ± 0.0253
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
1015.7068
Unweighted recall
0.6967 ± 0.0153
Cross-validation details (5 times 2-fold Crossvalidation)