Run
10435259

Run 10435259

Task 4285 (Supervised Classification) fruitfly 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
0.5667 ± 0.1616
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.572 ± 0.1235
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.0999 ± 0.2427
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
0.0231 ± 0.0848
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.4663 ± 0.0312
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.477 ± 0.0053
Cross-validation details (10 times 10-fold Crossvalidation)
Weighted recall
0.6072 ± 0.1099
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
1250
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
['Azul Systems, Inc.', '11.0.5', 'amd64', 'Windows 7', '6.1']
Precision
0.5816 ± 0.1662
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.6072 ± 0.1099
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9661 ± 0.0155
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.9775 ± 0.066
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4882 ± 0.0055
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4942 ± 0.0342
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.0122 ± 0.0698
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
979.7764
Unweighted recall
0.5457 ± 0.1132
Cross-validation details (10 times 10-fold Crossvalidation)