DEVELOPMENT... OpenML
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22352

Run 22352

Task 54 (Supervised Classification) hepatitis Uploaded 21-06-2014 by Felicia West
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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)_I80
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
0.7349
Per class
F measure
0.8172
Per class
Kappa
0.4356
KB relative information score
53.4819
Mean absolute error
0.1827
Mean prior absolute error
0.3299
Number of instances
155
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8153
Per class
Predictive accuracy
0.8194
Prior entropy
0.7418
Recall
0.8194
Per class
Relative absolute error
0.5538
Root mean prior squared error
0.4048
Root mean squared error
0.4147
Root relative squared error
1.0245
SciMark benchmark
934.2037[547.12689127429631007.294772822431479.1351424176555908.64471704177161728.8171800653784]

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