DEVELOPMENT... OpenML
Run
19364

Run 19364

Task 39 (Supervised Classification) sonar Uploaded 13-06-2014 by Felicia West
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Flow

weka.Bagging_MultilayerPerceptron(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_MultilayerPerceptron(1)_I40
weka.Bagging_MultilayerPerceptron(1)_P100
weka.Bagging_MultilayerPerceptron(1)_S1
weka.Bagging_MultilayerPerceptron(1)_Wweka.classifiers.functions.MultilayerPerceptron
weka.Bagging_MultilayerPerceptron(1)_num-slots1
weka.MultilayerPerceptron(1)_E20
weka.MultilayerPerceptron(1)_Ha
weka.MultilayerPerceptron(1)_L0.3
weka.MultilayerPerceptron(1)_M0.2
weka.MultilayerPerceptron(1)_N500
weka.MultilayerPerceptron(1)_S0
weka.MultilayerPerceptron(1)_V0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.5724
Per class
F measure
0.4923
Per class
Kappa
0.0149
KB relative information score
11.4189
Mean absolute error
0.4714
Mean prior absolute error
0.4978
Number of instances
208
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5116
Per class
Predictive accuracy
0.524
Prior entropy
0.9968
Recall
0.524
Per class
Relative absolute error
0.947
Root mean prior squared error
0.4989
Root mean squared error
0.5263
Root relative squared error
1.055
SciMark benchmark
943.2049[566.31191013187331013.6533323510344481.49857166643204903.01071657967621751.5501218345944]