DEVELOPMENT... OpenML
Run
154859

Run 154859

Task 2102 (Learning Curve) eucalyptus 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
0.6997 ± 0.0347
Per class
F measure
0.5212 ± 0.0451
Per class
Kappa
0.3838 ± 0.0591
KB relative information score
0.428 ± 0.055
Mean absolute error
0.1954 ± 0.02
Mean prior absolute error
0.3132 ± 0.0002
Number of instances
736
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.5249 ± 0.0435
Per class
Predictive accuracy
0.519 ± 0.0489
Prior entropy
2.2621 ± 0.0043
Recall
0.519 ± 0.0489
Per class
Relative absolute error
0.6237 ± 0.0639
Root mean prior squared error
0.3957 ± 0.0003
Root mean squared error
0.4318 ± 0.0247
Root relative squared error
1.0912 ± 0.0626
SciMark benchmark
639.2945
UserCPU time millis
10
UserCPU time millis testing
10