DEVELOPMENT... OpenML
Run
154821

Run 154821

Task 1702 (Learning Curve) kr-vs-kp 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
0.9612 ± 0.0168
Per class
F measure
0.9612 ± 0.0166
Per class
Kappa
0.9223 ± 0.0332
KB relative information score
0.9219 ± 0.0339
Mean absolute error
0.039 ± 0.0169
Mean prior absolute error
0.499 ± 0.0001
Number of instances
3196
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9612 ± 0.016
Per class
Predictive accuracy
0.9612 ± 0.0166
Prior entropy
0.9986 ± 0.0002
Recall
0.9612 ± 0.0166
Per class
Relative absolute error
0.0781 ± 0.0339
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.1972 ± 0.0413
Root relative squared error
0.3947 ± 0.0828
SciMark benchmark
639.2945