DEVELOPMENT... OpenML
Run
54126

Run 54126

Task 1717 (Learning Curve) mfeat-morphological 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
0.9586 ± 0.0032
Per class
Build CPU time
1.0001
Build memory
2349034578.4727
F measure
0.7006 ± 0.0154
Per class
Kappa
0.6683 ± 0.0185
KB relative information score
0.7428 ± 0.0153
Mean absolute error
0.0677 ± 0.0029
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
0.7009 ± 0.017
Per class
Predictive accuracy
0.7015 ± 0.0167
Prior entropy
3.3219
Recall
0.7015 ± 0.0167
Per class
Relative absolute error
0.3762 ± 0.0162
Root mean prior squared error
0.3
Root mean squared error
0.195 ± 0.0052
Root relative squared error
0.6501 ± 0.0173
SciMark benchmark
1615.5755