OpenML
18686

Run 18686

Task 29 (Supervised Classification) credit-approval Uploaded 11-06-2014 by Joaquin Vanschoren
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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)_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
0.8772
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8228
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6406
Cross-validation details (10-fold Crossvalidation)
KB relative information score
433.083
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1852
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
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
0.8229
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8232
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.8232
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3749
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3906
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7859
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
943.3959[563.02150163949781006.5056202244749482.7975877024999910.85475360997441753.8001309030865]