DEVELOPMENT... OpenML
Run
66320

Run 66320

Task 3055 (Supervised Classification) monks-problems-3 Uploaded 29-11-2014 by Felicia West
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Flow

weka.Bagging_MultilayerPerceptron(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_MultilayerPerceptron(2)_I80
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
0.9911
Per class
Build CPU time
97.647
Build memory
623966344
F measure
0.9945
Per class
Kappa
0.9887
KB relative information score
174.4019
Mean absolute error
0.0212
Mean prior absolute error
0.4967
Number of instances
182
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.9946
Per class
Predictive accuracy
0.9945
Prior entropy
0.9989
Recall
0.9945
Per class
Relative absolute error
0.0426
Root mean prior squared error
0.4971
Root mean squared error
0.0817
Root relative squared error
0.1644
SciMark benchmark
785.9104