DEVELOPMENT... OpenML
Run
65814

Run 65814

Task 3647 (Supervised Classification) rabe_266 Uploaded 25-11-2014 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
0.9975
Per class
Build CPU time
3.6547
Build memory
393866679.2
F measure
0.9667
Per class
Kappa
0.9333
KB relative information score
107.5933
Mean absolute error
0.0568
Mean prior absolute error
0.4988
Number of instances
120
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9672
Per class
Predictive accuracy
0.9667
Prior entropy
0.9983
Recall
0.9667
Per class
Relative absolute error
0.1138
Root mean prior squared error
0.4994
Root mean squared error
0.1491
Root relative squared error
0.2986
SciMark benchmark
941.326