Run
65649

Run 65649

Task 1815 (Supervised Classification) trains Uploaded 23-11-2014 by Joaquin Vanschoren
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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
0.6752
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Build CPU time
9.457
Cross-validation details (5 times 2-fold Crossvalidation)
Build memory
3084335492
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.64
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.28
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
7.0072
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.4395
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
50
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.64
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.64
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
1
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.64
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.879
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.4918
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.9837
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
942.728