DEVELOPMENT... OpenML
Run
25144

Run 25144

Task 116 (Learning Curve) ionosphere Uploaded 16-08-2014 by Jason
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Flow

weka.RandomForest(2)Leo Breiman (2001). Random Forests. Machine Learning. 45(1):5-32.
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1

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.

21 Evaluation measures

Area under ROC curve
0.9804 ± 0.023
Per class
Build CPU time
0.0581
Build memory
1015191853.8133
F measure
0.935 ± 0.0405
Per class
Kappa
0.8577 ± 0.089
KB relative information score
0.7513 ± 0.069
Mean absolute error
0.1261 ± 0.0298
Mean prior absolute error
0.4604 ± 0.0038
Number of instances
3510
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.936 ± 0.039
Per class
Predictive accuracy
0.9356 ± 0.0397
Prior entropy
0.9418 ± 0.0113
Recall
0.9356 ± 0.0397
Per class
Relative absolute error
0.274 ± 0.0645
Root mean prior squared error
0.4797 ± 0.004
Root mean squared error
0.2234 ± 0.0502
Root relative squared error
0.4657 ± 0.1043
SciMark benchmark
1183.2443[685.6291422943251995.3280053932883548.9477710782409984.02401134242362702.29271684098]