DEVELOPMENT... OpenML
Run
48427

Run 48427

Task 1740 (Learning Curve) soybean 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
0.996 ± 0.0022
Per class
Build CPU time
0.0919
Build memory
711314349.5
F measure
0.9305 ± 0.0224
Per class
Kappa
0.9245 ± 0.0227
KB relative information score
0.8796 ± 0.0109
Mean absolute error
0.0238 ± 0.0014
Mean prior absolute error
0.0961 ± 0.0001
Number of instances
683
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9328 ± 0.0206
Per class
Predictive accuracy
0.9312 ± 0.0207
Prior entropy
3.8358 ± 0.0227
Recall
0.9312 ± 0.0207
Per class
Relative absolute error
0.2475 ± 0.0145
Root mean prior squared error
0.2191 ± 0.0002
Root mean squared error
0.0868 ± 0.0051
Root relative squared error
0.396 ± 0.0233
SciMark benchmark
1627.4256