DEVELOPMENT... OpenML
Run
65563

Run 65563

Task 1786 (Supervised Classification) mfeat-zernike Uploaded 22-11-2014 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
0.9778
Per class
Build CPU time
4222.6751
Build memory
912718800.8
F measure
0.8179
Per class
Kappa
0.8012
KB relative information score
8340.2391
Mean absolute error
0.0449
Mean prior absolute error
0.18
Number of instances
10000
Per class
OS information
[Oracle Corporation, 1.8.0_05, amd64, Linux, 2.6.32-358.18.1.el6.x86_64]
Precision
0.8151
Per class
Predictive accuracy
0.8211
Prior entropy
3.3219
Recall
0.8211
Per class
Relative absolute error
0.2495
Root mean prior squared error
0.3
Root mean squared error
0.1524
Root relative squared error
0.5079
SciMark benchmark
909.6624