Run
10435197

Run 10435197

Task 1780 (Supervised Classification) mfeat-karhunen Uploaded 30-12-2019 by chimi wangmo
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.9844 ± 0.0028
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.922 ± 0.01
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.9134 ± 0.0111
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
0.9214 ± 0.0094
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.0157 ± 0.0019
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (5 times 2-fold Crossvalidation)
Weighted recall
0.9221 ± 0.01
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
0.9221 ± 0.0096
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.9221 ± 0.01
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.0874 ± 0.0107
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
0.1196 ± 0.0073
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.3986 ± 0.0243
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
1015.7068
Unweighted recall
0.9221 ± 0.01
Cross-validation details (5 times 2-fold Crossvalidation)