DEVELOPMENT... OpenML
Run
66258

Run 66258

Task 2272 (Supervised Classification) meta_all.arff Uploaded 28-11-2014 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
0.7195
Per class
Build CPU time
201.8543
Build memory
744754894.1972
F measure
0.6614
Per class
Kappa
0.4363
KB relative information score
25.0568
Mean absolute error
0.1529
Mean prior absolute error
0.2065
Number of instances
71
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.6558
Per class
Predictive accuracy
0.6901
Prior entropy
1.9094
Recall
0.6901
Per class
Relative absolute error
0.7402
Root mean prior squared error
0.317
Root mean squared error
0.2978
Root relative squared error
0.9396
SciMark benchmark
876.8852