DEVELOPMENT... OpenML
Run
154830

Run 154830

Task 1720 (Learning Curve) car Uploaded 10-02-2015 by Jason
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  • study_2 study_37 weka weka_3.7.12
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Flow

weka.RandomTree(10)Weka implementation of RandomTree
weka.RandomTree(10)_K0
weka.RandomTree(10)_M1.0
weka.RandomTree(10)_V0.001
weka.RandomTree(10)_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
0.9248 ± 0.0322
Per class
F measure
0.817 ± 0.0508
Per class
Kappa
0.5985 ± 0.1115
KB relative information score
0.6797 ± 0.0715
Mean absolute error
0.0787 ± 0.0172
Mean prior absolute error
0.229 ± 0.0007
Number of instances
1728
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8151 ± 0.0528
Per class
Predictive accuracy
0.8194 ± 0.046
Prior entropy
1.2058 ± 0.0093
Recall
0.8194 ± 0.046
Per class
Relative absolute error
0.3438 ± 0.0743
Root mean prior squared error
0.3381 ± 0.001
Root mean squared error
0.242 ± 0.0311
Root relative squared error
0.7156 ± 0.0906
SciMark benchmark
639.2945