Run
10435221

Run 10435221

Task 4514 (Supervised Classification) visualizing_ethanol 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
0.5552 ± 0.1966
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.5352 ± 0.1596
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.07 ± 0.3035
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
0.0257 ± 0.0824
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.4896 ± 0.0325
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4997 ± 0.0011
Cross-validation details (10 times 10-fold Crossvalidation)
Weighted recall
0.5352 ± 0.1534
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
880
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
['Azul Systems, Inc.', '11.0.5', 'amd64', 'Windows 7', '6.1']
Precision
0.5353 ± 0.177
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.5352 ± 0.1534
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9996 ± 0.0031
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.9797 ± 0.065
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4999 ± 0.0011
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.5027 ± 0.0352
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.0057 ± 0.0704
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
979.7764
Unweighted recall
0.535 ± 0.1529
Cross-validation details (10 times 10-fold Crossvalidation)