Run
10435254

Run 10435254

Task 4513 (Supervised Classification) kidney 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
0.7688 ± 0.1604
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7196 ± 0.1705
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.4416 ± 0.323
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
0.328 ± 0.2049
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.3431 ± 0.095
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4987 ± 0.0018
Cross-validation details (10 times 10-fold Crossvalidation)
Weighted recall
0.7197 ± 0.1631
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
760
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
['Azul Systems, Inc.', '11.0.5', 'amd64', 'Windows 7', '6.1']
Precision
0.7249 ± 0.165
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.7197 ± 0.1631
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.998 ± 0.0052
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.688 ± 0.1901
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4993 ± 0.0018
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4529 ± 0.1069
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9071 ± 0.2136
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
979.7764
Unweighted recall
0.7222 ± 0.1618
Cross-validation details (10 times 10-fold Crossvalidation)