Run
17470

Run 17470

Task 2079 (Supervised Classification) eucalyptus Uploaded 08-06-2014 by Joaquin Vanschoren
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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
0.857
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6022
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4911
Cross-validation details (10-fold Crossvalidation)
KB relative information score
390.9148
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1658
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3132
Cross-validation details (10-fold Crossvalidation)
Number of instances
736
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6027
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6019
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2629
Cross-validation details (10-fold Crossvalidation)
Recall
0.6019
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5293
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3957
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3714
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9387
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
936.1506[531.45661350856691013.9200573100866481.9307652369574905.8189190131481747.6266666666663]