DEVELOPMENT... OpenML
Run
66262

Run 66262

Task 2273 (Supervised Classification) meta_batchincremental.arff 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
0.7003
Per class
Build CPU time
192.7561
Build memory
918010543.8919
F measure
0.5484
Per class
Kappa
0.0199
KB relative information score
8.2982
Mean absolute error
0.2124
Mean prior absolute error
0.2519
Number of instances
74
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.5116
Per class
Predictive accuracy
0.5946
Prior entropy
1.3842
Recall
0.5946
Per class
Relative absolute error
0.8433
Root mean prior squared error
0.3504
Root mean squared error
0.3603
Root relative squared error
1.0283
SciMark benchmark
876.8852