DEVELOPMENT... OpenML
Run
21077

Run 21077

Task 53 (Supervised Classification) vehicle Uploaded 18-06-2014 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)_I20
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
0.7196
Per class
F measure
0.1774
Per class
Kappa
0.0135
KB relative information score
125.0271
Mean absolute error
0.3603
Mean prior absolute error
0.3748
Number of instances
846
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.1337
Per class
Predictive accuracy
0.2636
Prior entropy
1.9991
Recall
0.2636
Per class
Relative absolute error
0.9613
Root mean prior squared error
0.4329
Root mean squared error
0.475
Root relative squared error
1.0972
SciMark benchmark
947.1722[565.39404163109531015.5230404536866483.88543266528814909.90626928802961761.1524117823017]