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Run
23170

Run 23170

Task 14 (Supervised Classification) mfeat-fourier Uploaded 24-06-2014 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
0.6461
Per class
F measure
0.1246
Per class
Kappa
0.0489
KB relative information score
254.8154
Mean absolute error
0.1748
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.2555
Per class
Predictive accuracy
0.144
Prior entropy
3.3219
Recall
0.144
Per class
Relative absolute error
0.9709
Root mean prior squared error
0.3
Root mean squared error
0.3038
Root relative squared error
1.0125
SciMark benchmark
941.9324[544.22486162903641015.2555353338006474.68690723372646908.64471704177161766.8499488170112]

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