DEVELOPMENT... OpenML
Run
48414

Run 48414

Task 1719 (Learning Curve) mfeat-pixel 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
0.9963 ± 0.002
Per class
Build CPU time
0.1664
Build memory
568039226.3273
F measure
0.963 ± 0.016
Per class
Kappa
0.9589 ± 0.0176
KB relative information score
0.76 ± 0.0104
Mean absolute error
0.0772 ± 0.0021
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9634 ± 0.0151
Per class
Predictive accuracy
0.963 ± 0.0158
Prior entropy
3.3219
Recall
0.963 ± 0.0158
Per class
Relative absolute error
0.429 ± 0.0114
Root mean prior squared error
0.3
Root mean squared error
0.1489 ± 0.0043
Root relative squared error
0.4964 ± 0.0143
SciMark benchmark
1627.4256