Run
52143

Run 52143

Task 1701 (Learning Curve) anneal Uploaded 07-11-2014 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_MultilayerPerceptron(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_MultilayerPerceptron(2)_I10
weka.Bagging_MultilayerPerceptron(2)_P100
weka.Bagging_MultilayerPerceptron(2)_S1
weka.Bagging_MultilayerPerceptron(2)_Wweka.classifiers.functions.MultilayerPerceptron
weka.Bagging_MultilayerPerceptron(2)_num-slots1
weka.MultilayerPerceptron(2)_E20
weka.MultilayerPerceptron(2)_Ha
weka.MultilayerPerceptron(2)_L0.3
weka.MultilayerPerceptron(2)_M0.2
weka.MultilayerPerceptron(2)_N500
weka.MultilayerPerceptron(2)_S0
weka.MultilayerPerceptron(2)_V0

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
0.9954 ± 0.008
Per class
Build CPU time
89.8964
Build memory
251247354.6667
F measure
0.9885 ± 0.0061
Per class
Kappa
0.972 ± 0.0328
KB relative information score
0.9511 ± 0.0359
Mean absolute error
0.0082 ± 0.004
Mean prior absolute error
0.1343 ± 0.0013
Number of instances
898
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9889 ± 0.0055
Per class
Predictive accuracy
0.9889 ± 0.013
Prior entropy
1.1915 ± 0.026
Recall
0.9889 ± 0.013
Per class
Relative absolute error
0.061 ± 0.0301
Root mean prior squared error
0.2582 ± 0.0024
Root mean squared error
0.0576 ± 0.0255
Root relative squared error
0.2229 ± 0.0986
SciMark benchmark
1590.7686