Run
24482

Run 24482

Task 16 (Supervised Classification) mfeat-karhunen Uploaded 10-07-2014 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)_I10
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
Cross-validation details (10-fold Crossvalidation)
F measure
0.9605
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9561
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1902.4443
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0118
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
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
0.9606
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9605
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.9605
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0657
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0855
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2849
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
592.7092[339.61073769918625900.8672571222878241.6160587335068523.6596040803772957.7925636876275]