DEVELOPMENT... OpenML
Run
66264

Run 66264

Task 3809 (Supervised Classification) visualizing_ethanol Uploaded 29-11-2014 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
0.447
Per class
Build CPU time
3.5332
Build memory
1002769787.0909
F measure
0.474
Per class
Kappa
-0.0492
KB relative information score
-1.1254
Mean absolute error
0.5045
Mean prior absolute error
0.4997
Number of instances
88
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.4752
Per class
Predictive accuracy
0.4773
Prior entropy
0.9996
Recall
0.4773
Per class
Relative absolute error
1.0096
Root mean prior squared error
0.4999
Root mean squared error
0.5212
Root relative squared error
1.0426
SciMark benchmark
876.8852