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Run
15524

Run 15524

Task 11 (Supervised Classification) balance-scale 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)_I40
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
0.8312
Per class
F measure
0.1378
Per class
Kappa
0.0486
KB relative information score
-54.2208
Mean absolute error
0.4495
Mean prior absolute error
0.3798
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9282
Per class
Predictive accuracy
0.1488
Prior entropy
1.3212
Recall
0.1488
Per class
Relative absolute error
1.1837
Root mean prior squared error
0.4356
Root mean squared error
0.487
Root relative squared error
1.1181
SciMark benchmark
941.8072[559.23069257302551011.7904963405887481.49857166643204908.32989414330441748.1861790736805]

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