Run
10435235

Run 10435235

Task 4436 (Supervised Classification) visualizing_livestock 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
0.7876 ± 0.1785
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8367 ± 0.1067
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.484 ± 0.3327
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
0.3719 ± 0.396
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1622 ± 0.1032
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.3135 ± 0.0234
Cross-validation details (10 times 10-fold Crossvalidation)
Weighted recall
0.8338 ± 0.1081
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
1300
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
['Azul Systems, Inc.', '11.0.5', 'amd64', 'Windows 7', '6.1']
Precision
0.8402 ± 0.1062
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8338 ± 0.1081
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.7064 ± 0.0784
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.5175 ± 0.3276
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3941 ± 0.0298
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3882 ± 0.1598
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.985 ± 0.4078
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
979.7764
Unweighted recall
0.7509 ± 0.174
Cross-validation details (10 times 10-fold Crossvalidation)