Run
54299

Run 54299

Task 1711 (Learning Curve) mfeat-factors Uploaded 08-11-2014 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
0.9958 ± 0.0014
Per class
Build CPU time
0.4088
Build memory
2466569932.1455
F measure
0.9326 ± 0.0124
Per class
Kappa
0.925 ± 0.0137
KB relative information score
0.8853 ± 0.0083
Mean absolute error
0.0358 ± 0.0018
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
0.9331 ± 0.0108
Per class
Predictive accuracy
0.9325 ± 0.0123
Prior entropy
3.3219
Recall
0.9325 ± 0.0123
Per class
Relative absolute error
0.1988 ± 0.0102
Root mean prior squared error
0.3
Root mean squared error
0.1104 ± 0.0064
Root relative squared error
0.3679 ± 0.0212
SciMark benchmark
1615.5755