DEVELOPMENT... OpenML
Run
16417

Run 16417

Task 40 (Supervised Classification) glass Uploaded 04-06-2014 by Felicia West
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Flow

weka.Bagging_MultilayerPerceptron(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_MultilayerPerceptron(1)_I80
weka.Bagging_MultilayerPerceptron(1)_P100
weka.Bagging_MultilayerPerceptron(1)_S1
weka.Bagging_MultilayerPerceptron(1)_Wweka.classifiers.functions.MultilayerPerceptron
weka.Bagging_MultilayerPerceptron(1)_num-slots1
weka.MultilayerPerceptron(1)_E20
weka.MultilayerPerceptron(1)_Ha
weka.MultilayerPerceptron(1)_L0.3
weka.MultilayerPerceptron(1)_M0.2
weka.MultilayerPerceptron(1)_N500
weka.MultilayerPerceptron(1)_S0
weka.MultilayerPerceptron(1)_V0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.5701
Per class
F measure
0.0323
Per class
KB relative information score
10.4129
Mean absolute error
0.2451
Mean prior absolute error
0.2116
Number of instances
214
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.0184
Per class
Predictive accuracy
0.1355
Prior entropy
2.2315
Recall
0.1355
Per class
Relative absolute error
1.1585
Root mean prior squared error
0.3244
Root mean squared error
0.3715
Root relative squared error
1.1451
SciMark benchmark
947.78[560.66879002876651016.0584738187666484.75925509327664907.70082742804311769.7127006129608]