Run
61435

Run 61435

Task 1723 (Learning Curve) mushroom Uploaded 16-11-2014 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_BFTree(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.BFTree(2)_Ctrue
weka.BFTree(2)_M2
weka.BFTree(2)_N5
weka.BFTree(2)_PPOSTPRUNED
weka.BFTree(2)_S1
weka.Bagging_BFTree(2)_I10
weka.Bagging_BFTree(2)_P100
weka.Bagging_BFTree(2)_S1
weka.Bagging_BFTree(2)_Wweka.classifiers.trees.BFTree
weka.Bagging_BFTree(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
1
Per class
Build CPU time
2.9867
Build memory
1469724896.48
F measure
0.9995 ± 0.0009
Per class
Kappa
0.999 ± 0.0017
KB relative information score
0.9983 ± 0.0013
Mean absolute error
0.0009 ± 0.0006
Mean prior absolute error
0.4994 ± 0
Number of instances
8124
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9995 ± 0.0009
Per class
Predictive accuracy
0.9995 ± 0.0009
Prior entropy
0.9991 ± 0.0001
Recall
0.9995 ± 0.0009
Per class
Relative absolute error
0.0019 ± 0.0012
Root mean prior squared error
0.4997 ± 0
Root mean squared error
0.0181 ± 0.0127
Root relative squared error
0.0363 ± 0.0254
SciMark benchmark
1592.7924