OpenML
550030

Run 550030

Task 3731 (Supervised Classification) visualizing_livestock Uploaded 08-04-2016 by Jan van Rijn
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  • study_15 study_20 weka weka_3.7.13
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Flow

weka.Logistic(6)le Cessie, S., van Houwelingen, J.C. (1992). Ridge Estimators in Logistic Regression. Applied Statistics. 41(1):191-201.
weka.Logistic(6)_R1.0E-8
weka.Logistic(6)_M-1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.7638
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8162
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4406
Cross-validation details (10-fold Crossvalidation)
KB relative information score
36.1341
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1867
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3135
Cross-validation details (10-fold Crossvalidation)
Number of instances
130
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_77, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.8297
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8077
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7158
Cross-validation details (10-fold Crossvalidation)
Recall
0.8077
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5956
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3941
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4203
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0662
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1174.5469
UserCPU time millis
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
10
Cross-validation details (10-fold Crossvalidation)