DEVELOPMENT... OpenML
Run
65081

Run 65081

Task 3643 (Supervised Classification) sleuth_ex1714 Uploaded 19-11-2014 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)_I160
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
0.8981
Per class
Build CPU time
7.5112
Build memory
78924208
F measure
0.8519
Per class
Kappa
0.7012
KB relative information score
27.0773
Mean absolute error
0.2145
Mean prior absolute error
0.4894
Number of instances
47
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8596
Per class
Predictive accuracy
0.8511
Prior entropy
0.9852
Recall
0.8511
Per class
Relative absolute error
0.4382
Root mean prior squared error
0.4944
Root mean squared error
0.3544
Root relative squared error
0.7167
SciMark benchmark
938.76