Run
554188

Run 554188

Task 3731 (Supervised Classification) visualizing_livestock Uploaded 10-04-2016 by Martijn Post
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  • study_15 study_20 weka weka_3.7.13
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Flow

weka.JRip(5)William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
weka.JRip(5)_F3
weka.JRip(5)_N2.0
weka.JRip(5)_O2
weka.JRip(5)_S1

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
0.7663
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8885
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6549
Cross-validation details (10-fold Crossvalidation)
KB relative information score
51.803
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1846
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_66, amd64, Windows 10, 10.0]
Precision
0.8955
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8846
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.7158
Cross-validation details (10-fold Crossvalidation)
Recall
0.8846
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5889
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3941
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3175
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8056
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1834.908