DEVELOPMENT... OpenML
Run
25155

Run 25155

Task 70 (Learning Curve) balance-scale 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
0.9447 ± 0.0149
Per class
Build CPU time
0.0497
Build memory
1340428102.65
F measure
0.8188 ± 0.0238
Per class
Kappa
0.6719 ± 0.0557
KB relative information score
0.5714 ± 0.0486
Mean absolute error
0.1477 ± 0.021
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
6250
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.8267 ± 0.0179
Per class
Predictive accuracy
0.811 ± 0.0357
Prior entropy
1.3181 ± 0.0119
Recall
0.811 ± 0.0357
Per class
Relative absolute error
0.3889 ± 0.0553
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.2866 ± 0.0243
Root relative squared error
0.6579 ± 0.0556
SciMark benchmark
1177.3049[689.1508137755416982.6389809975685536.0668061671846960.23442552563442718.4336297801447]