DEVELOPMENT... OpenML
Run
154825

Run 154825

Task 1713 (Learning Curve) mfeat-fourier 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
0.8092 ± 0.0148
Per class
F measure
0.656 ± 0.0287
Per class
Kappa
0.6183 ± 0.0296
KB relative information score
0.6408 ± 0.0279
Mean absolute error
0.0687 ± 0.0053
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6565 ± 0.0317
Per class
Predictive accuracy
0.6565 ± 0.0267
Prior entropy
3.3219
Recall
0.6565 ± 0.0267
Per class
Relative absolute error
0.3817 ± 0.0296
Root mean prior squared error
0.3
Root mean squared error
0.2621 ± 0.0102
Root relative squared error
0.8737 ± 0.034
SciMark benchmark
639.2945
UserCPU time millis
50
UserCPU time millis training
50