DEVELOPMENT... OpenML
Run
47352

Run 47352

Task 1702 (Learning Curve) kr-vs-kp Uploaded 05-11-2014 by Jason
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  • 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
0.973 ± 0.0075
Per class
Build CPU time
0.1835
Build memory
983860178.4667
F measure
0.9484 ± 0.0144
Per class
Kappa
0.8965 ± 0.0289
KB relative information score
0.8883 ± 0.0226
Mean absolute error
0.0566 ± 0.011
Mean prior absolute error
0.499 ± 0.0001
Number of instances
3196
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9484 ± 0.0142
Per class
Predictive accuracy
0.9484 ± 0.0144
Prior entropy
0.9986 ± 0.0002
Recall
0.9484 ± 0.0144
Per class
Relative absolute error
0.1133 ± 0.0219
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.2085 ± 0.0253
Root relative squared error
0.4175 ± 0.0507
SciMark benchmark
1445.6628