Run
55668

Run 55668

Task 1705 (Learning Curve) letter Uploaded 12-11-2014 by Jan van Rijn
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  • curves study_2 study_37 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
0.9947 ± 0.0007
Per class
Build CPU time
0.7504
Build memory
2385935646.4
F measure
0.9017 ± 0.0069
Per class
Kappa
0.8975 ± 0.0073
KB relative information score
0.8893 ± 0.0046
Mean absolute error
0.016 ± 0.0004
Mean prior absolute error
0.074 ± 0
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9025 ± 0.0069
Per class
Predictive accuracy
0.9015 ± 0.007
Prior entropy
4.6998 ± 0.0001
Recall
0.9015 ± 0.007
Per class
Relative absolute error
0.2158 ± 0.0055
Root mean prior squared error
0.1923 ± 0
Root mean squared error
0.0787 ± 0.0014
Root relative squared error
0.4091 ± 0.0074
SciMark benchmark
1525.9265