DEVELOPMENT... OpenML
Run
48421

Run 48421

Task 1730 (Learning Curve) credit-g 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
0.7773 ± 0.0444
Per class
Build CPU time
0.0426
Build memory
3885773310.8445
F measure
0.736 ± 0.0362
Per class
Kappa
0.3461 ± 0.0909
KB relative information score
0.1864 ± 0.0365
Mean absolute error
0.3399 ± 0.0129
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7426 ± 0.0359
Per class
Predictive accuracy
0.757 ± 0.0295
Prior entropy
0.8813
Recall
0.757 ± 0.0295
Per class
Relative absolute error
0.809 ± 0.0307
Root mean prior squared error
0.4583
Root mean squared error
0.4081 ± 0.0151
Root relative squared error
0.8905 ± 0.033
SciMark benchmark
1729.8248