Run
65675

Run 65675

Task 284 (Supervised Classification) hepatitis 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
0.836
Per class
Cross-validation details (33% Holdout set)
Build CPU time
25.279
Cross-validation details (33% Holdout set)
Build memory
3477968688
Cross-validation details (33% Holdout set)
F measure
0.8211
Per class
Cross-validation details (33% Holdout set)
Kappa
0.5234
Cross-validation details (33% Holdout set)
KB relative information score
15.521
Cross-validation details (33% Holdout set)
Mean absolute error
0.2308
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.3579
Cross-validation details (33% Holdout set)
Number of instances
51
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8195
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.8235
Cross-validation details (33% Holdout set)
Prior entropy
0.7418
Cross-validation details (33% Holdout set)
Recall
0.8235
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.6449
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4381
Cross-validation details (33% Holdout set)
Root mean squared error
0.3799
Cross-validation details (33% Holdout set)
Root relative squared error
0.8671
Cross-validation details (33% Holdout set)
SciMark benchmark
943.4955