DEVELOPMENT... OpenML
Run
47753

Run 47753

Task 77 (Learning Curve) mfeat-morphological Uploaded 05-11-2014 by Jason
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  • curves weka weka_3.7.12-SNAPSHOT
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Flow

weka.Bagging_REPTree(3)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(3)_I10
weka.Bagging_REPTree(3)_P100
weka.Bagging_REPTree(3)_S1
weka.Bagging_REPTree(3)_Wweka.classifiers.trees.REPTree
weka.Bagging_REPTree(3)_num-slots1
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_V0.001

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 ± 0.0058
Per class
Build CPU time
0.0175
Build memory
1942620110.8145
F measure
0.7107 ± 0.0278
Per class
Kappa
0.6803 ± 0.0305
KB relative information score
0.7506 ± 0.0161
Mean absolute error
0.0678 ± 0.0029
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7114 ± 0.029
Per class
Predictive accuracy
0.7123 ± 0.0274
Prior entropy
3.3219
Recall
0.7123 ± 0.0274
Per class
Relative absolute error
0.3769 ± 0.0159
Root mean prior squared error
0.3
Root mean squared error
0.1885 ± 0.0069
Root relative squared error
0.6284 ± 0.0228
SciMark benchmark
1729.8248