DEVELOPMENT... OpenML
Run
48403

Run 48403

Task 1701 (Learning Curve) anneal Uploaded 05-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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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
0.99 ± 0.0084
Per class
Build CPU time
0.1658
Build memory
404047295.9111
F measure
0.9495 ± 0.0203
Per class
Kappa
0.8731 ± 0.0506
KB relative information score
0.7966 ± 0.0474
Mean absolute error
0.0391 ± 0.0062
Mean prior absolute error
0.1343 ± 0.0013
Number of instances
898
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9495 ± 0.0205
Per class
Predictive accuracy
0.9499 ± 0.0191
Prior entropy
1.1915 ± 0.026
Recall
0.9499 ± 0.0191
Per class
Relative absolute error
0.291 ± 0.0462
Root mean prior squared error
0.2582 ± 0.0024
Root mean squared error
0.1153 ± 0.0163
Root relative squared error
0.4464 ± 0.0634
SciMark benchmark
1627.4256