DEVELOPMENT... OpenML
Run
182840

Run 182840

Task 283 (Supervised Classification) vehicle Uploaded 25-02-2015 by Felicia West
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Flow

weka.REPTree(9)Weka implementation of REPTree
weka.REPTree(9)_M2
weka.REPTree(9)_V0.001
weka.REPTree(9)_N3
weka.REPTree(9)_S1
weka.REPTree(9)_L-1
weka.REPTree(9)_I0.0

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
0.8588
Per class
F measure
0.6771
Per class
Kappa
0.5719
KB relative information score
153.7095
Mean absolute error
0.2052
Mean prior absolute error
0.3748
Number of instances
279
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6743
Per class
Predictive accuracy
0.681
Prior entropy
1.9991
Recall
0.681
Per class
Relative absolute error
0.5475
Root mean prior squared error
0.4328
Root mean squared error
0.3372
Root relative squared error
0.779
SciMark benchmark
1325.942
UserCPU time millis
20
UserCPU time millis testing
10
UserCPU time millis training
10