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Run
23662

Run 23662

Task 35 (Supervised Classification) dermatology Uploaded 26-06-2014 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
0.9983
Per class
F measure
0.9728
Per class
Kappa
0.9658
KB relative information score
349.5639
Mean absolute error
0.0141
Mean prior absolute error
0.2664
Number of instances
366
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9731
Per class
Predictive accuracy
0.9727
Prior entropy
2.4378
Recall
0.9727
Per class
Relative absolute error
0.0529
Root mean prior squared error
0.3649
Root mean squared error
0.0931
Root relative squared error
0.2552
SciMark benchmark
932.9494[558.15700481002.5780215010175478.4945829226523892.86107486506131732.6565416426442]