DEVELOPMENT... OpenML
Run
48354

Run 48354

Task 62 (Learning Curve) anneal Uploaded 05-11-2014 by Jason
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  • curves 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
0.9897 ± 0.0075
Per class
Build CPU time
0.163
Build memory
1946656303.9556
F measure
0.9517 ± 0.0199
Per class
Kappa
0.8785 ± 0.0514
KB relative information score
0.7956 ± 0.0388
Mean absolute error
0.0392 ± 0.0052
Mean prior absolute error
0.1343 ± 0.0012
Number of instances
8980
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9517 ± 0.0189
Per class
Predictive accuracy
0.9519 ± 0.02
Prior entropy
1.1915 ± 0.0248
Recall
0.9519 ± 0.02
Per class
Relative absolute error
0.2915 ± 0.0386
Root mean prior squared error
0.2582 ± 0.0023
Root mean squared error
0.1151 ± 0.0154
Root relative squared error
0.4458 ± 0.0597
SciMark benchmark
1627.4256