DEVELOPMENT... OpenML
Run
16952

Run 16952

Task 51 (Supervised Classification) trains Uploaded 05-06-2014 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)_I20
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
0.68
Per class
F measure
0.697
Per class
Kappa
0.4
KB relative information score
1.7299
Mean absolute error
0.4195
Mean prior absolute error
0.5
Number of instances
10
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7083
Per class
Predictive accuracy
0.7
Prior entropy
1
Recall
0.7
Per class
Relative absolute error
0.8391
Root mean prior squared error
0.5
Root mean squared error
0.4766
Root relative squared error
0.9532
SciMark benchmark
947.7391[567.04832706770641015.52310425331483.23216931738307911.17132945493631761.7203488120049]