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Run
21257

Run 21257

Task 16 (Supervised Classification) mfeat-karhunen Uploaded 18-06-2014 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)_I40
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
0.9907
Per class
F measure
0.9605
Per class
Kappa
0.9561
KB relative information score
1902.4443
Mean absolute error
0.0118
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
0.9606
Per class
Predictive accuracy
0.9605
Prior entropy
3.3219
Recall
0.9605
Per class
Relative absolute error
0.0657
Root mean prior squared error
0.3
Root mean squared error
0.0855
Root relative squared error
0.2849
SciMark benchmark
910.6813[473.849672021567361013.1203667026068429.3250120420448888.92502312110351748.1861790736805]