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Run
21464

Run 21464

Task 57 (Supervised Classification) ionosphere Uploaded 19-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_MultilayerPerceptron(1)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_MultilayerPerceptron(1)_I160
weka.AdaBoostM1_MultilayerPerceptron(1)_P100
weka.AdaBoostM1_MultilayerPerceptron(1)_S1
weka.AdaBoostM1_MultilayerPerceptron(1)_Wweka.classifiers.functions.MultilayerPerceptron
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
0.9195
Per class
F measure
0.9159
Per class
Kappa
0.815
KB relative information score
283.2676
Mean absolute error
0.0861
Mean prior absolute error
0.4604
Number of instances
351
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9193
Per class
Predictive accuracy
0.9174
Prior entropy
0.9425
Recall
0.9174
Per class
Relative absolute error
0.187
Root mean prior squared error
0.4797
Root mean squared error
0.2836
Root relative squared error
0.5913
SciMark benchmark
944.3656[553.7272124480361014.1868590421574474.68690723372646911.80521739130441767.4218398162996]