Run
47388

Run 47388

Task 1723 (Learning Curve) mushroom Uploaded 05-11-2014 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_VotedPerceptron(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_VotedPerceptron(2)_I10
weka.Bagging_VotedPerceptron(2)_P100
weka.Bagging_VotedPerceptron(2)_S1
weka.Bagging_VotedPerceptron(2)_Wweka.classifiers.functions.VotedPerceptron
weka.Bagging_VotedPerceptron(2)_num-slots1
weka.VotedPerceptron(2)_E1.0
weka.VotedPerceptron(2)_I1
weka.VotedPerceptron(2)_M10000
weka.VotedPerceptron(2)_S1

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 ± 0
Per class
Build CPU time
0.3341
Build memory
1614043148.0533
F measure
0.999 ± 0.001
Per class
Kappa
0.998 ± 0.0019
KB relative information score
0.9974 ± 0.002
Mean absolute error
0.0014 ± 0.001
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
0.999 ± 0.001
Per class
Predictive accuracy
0.999 ± 0.001
Prior entropy
0.9991 ± 0.0001
Recall
0.999 ± 0.001
Per class
Relative absolute error
0.0028 ± 0.002
Root mean prior squared error
0.4997 ± 0
Root mean squared error
0.0282 ± 0.0144
Root relative squared error
0.0564 ± 0.0289
SciMark benchmark
1631.9056