DEVELOPMENT... OpenML
Run
54127

Run 54127

Task 1721 (Learning Curve) mfeat-zernike Uploaded 08-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.Bagging_RandomForest(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_RandomForest(2)_I10
weka.Bagging_RandomForest(2)_P100
weka.Bagging_RandomForest(2)_S1
weka.Bagging_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.Bagging_RandomForest(2)_num-slots1
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
0.9714 ± 0.005
Per class
Build CPU time
2.4981
Build memory
2178653406.5455
F measure
0.7643 ± 0.0269
Per class
Kappa
0.7417 ± 0.0316
KB relative information score
0.7091 ± 0.0161
Mean absolute error
0.0811 ± 0.0028
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
0.7625 ± 0.024
Per class
Predictive accuracy
0.7675 ± 0.0284
Prior entropy
3.3219
Recall
0.7675 ± 0.0284
Per class
Relative absolute error
0.4505 ± 0.0154
Root mean prior squared error
0.3
Root mean squared error
0.1845 ± 0.0056
Root relative squared error
0.6149 ± 0.0185
SciMark benchmark
1615.5755