DEVELOPMENT... OpenML
Run
23342

Run 23342

Task 36 (Supervised Classification) segment Uploaded 24-06-2014 by Felicia West
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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)_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
0.9944
Per class
F measure
0.9641
Per class
Kappa
0.9581
KB relative information score
2195.4069
Mean absolute error
0.0174
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9644
Per class
Predictive accuracy
0.9641
Prior entropy
2.8074
Recall
0.9641
Per class
Relative absolute error
0.0711
Root mean prior squared error
0.3499
Root mean squared error
0.0936
Root relative squared error
0.2674
SciMark benchmark
944.0401[558.87235220088451014.1868590421574481.49857166643204906.7589715622941758.8835103978397]