Run
10435255

Run 10435255

Task 4342 (Supervised Classification) analcatdata_michiganacc 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
0.7792 ± 0.1498
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7303 ± 0.1391
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.4534 ± 0.2774
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
0.3634 ± 0.1886
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.3224 ± 0.0865
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4939 ± 0.0024
Cross-validation details (10 times 10-fold Crossvalidation)
Weighted recall
0.7306 ± 0.1349
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
1080
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
['Azul Systems, Inc.', '11.0.5', 'amd64', 'Windows 7', '6.1']
Precision
0.7301 ± 0.1424
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.7306 ± 0.1349
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9911 ± 0.0069
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.6527 ± 0.1756
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4969 ± 0.0024
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4407 ± 0.0956
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.8869 ± 0.1929
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
979.7764
Unweighted recall
0.7263 ± 0.1375
Cross-validation details (10 times 10-fold Crossvalidation)