Run
55843

Run 55843

Task 1705 (Learning Curve) letter Uploaded 12-11-2014 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
0.9796 ± 0.0034
Per class
Build CPU time
474.2578
Build memory
3033290679.4667
F measure
0.8656 ± 0.0061
Per class
Kappa
0.8596 ± 0.0065
KB relative information score
0.8674 ± 0.0063
Mean absolute error
0.0159 ± 0.0005
Mean prior absolute error
0.074 ± 0
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8722 ± 0.0051
Per class
Predictive accuracy
0.865 ± 0.0063
Prior entropy
4.6998 ± 0.0001
Recall
0.865 ± 0.0063
Per class
Relative absolute error
0.2146 ± 0.0068
Root mean prior squared error
0.1923 ± 0
Root mean squared error
0.0857 ± 0.002
Root relative squared error
0.4454 ± 0.0102
SciMark benchmark
1614.7273