Run
10435231

Run 10435231

Task 4351 (Supervised Classification) rabe_265 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
0.6952 ± 0.238
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.6905 ± 0.2227
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.3586 ± 0.4387
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
0.2268 ± 0.2669
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.3814 ± 0.1187
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.485 ± 0.0051
Cross-validation details (10 times 10-fold Crossvalidation)
Weighted recall
0.6922 ± 0.2086
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
510
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
['Azul Systems, Inc.', '11.0.5', 'amd64', 'Windows 7', '6.1']
Precision
0.6898 ± 0.2419
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.6922 ± 0.2086
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9775 ± 0.0149
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.7864 ± 0.244
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4922 ± 0.0051
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4807 ± 0.1295
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.9767 ± 0.2621
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
979.7764
Unweighted recall
0.6776 ± 0.2191
Cross-validation details (10 times 10-fold Crossvalidation)