Run
23715

Run 23715

Task 1 (Supervised Classification) anneal Uploaded 27-06-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.9894
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9874
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9691
Cross-validation details (10-fold Crossvalidation)
KB relative information score
846.7362
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0051
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1343
Cross-validation details (10-fold Crossvalidation)
Number of instances
898
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
0.9874
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9878
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2149
Cross-validation details (10-fold Crossvalidation)
Recall
0.9878
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0378
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2582
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0573
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2219
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
939.3188[549.54020994765531010.4640495393572482.14720472367435901.76812573803551752.6744042525834]