Run
10435170

Run 10435170

Task 146544 (Supervised Classification) ML2017-challenge-2 Uploaded 29-12-2019 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
0.6465 ± 0.0117
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7579 ± 0.0017
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.0114 ± 0.0073
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-0.0842 ± 0.0079
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2699 ± 0.0011
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2801 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Weighted recall
0.8324 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Number of instances
39948
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Azul Systems, Inc.', '11.0.5', 'amd64', 'Windows 7', '6.1']
Precision
0.8162 ± 0.0373
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8324 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.6541 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9636 ± 0.0041
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3742 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3672 ± 0.0012
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9813 ± 0.0034
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1015.7068
Unweighted recall
0.5034 ± 0.0022
Cross-validation details (10-fold Crossvalidation)