Run
10435243

Run 10435243

Task 4506 (Supervised Classification) sleuth_ex1221 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
0.8257 ± 0.2127
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7803 ± 0.1957
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.5559 ± 0.4103
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
0.5604 ± 0.3917
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2166 ± 0.1934
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4957 ± 0.0072
Cross-validation details (10 times 10-fold Crossvalidation)
Weighted recall
0.781 ± 0.1975
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
420
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
['Azul Systems, Inc.', '11.0.5', 'amd64', 'Windows 7', '6.1']
Precision
0.7806 ± 0.1931
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.781 ± 0.1975
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9935 ± 0.0209
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.437 ± 0.3891
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4977 ± 0.0073
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4538 ± 0.2733
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9118 ± 0.5486
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
979.7764
Unweighted recall
0.7767 ± 0.2057
Cross-validation details (10 times 10-fold Crossvalidation)