DEVELOPMENT... OpenML
Run
21379

Run 21379

Task 26 (Supervised Classification) nursery Uploaded 19-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_MultilayerPerceptron(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_MultilayerPerceptron(1)_C3
weka.MultiBoostAB_MultilayerPerceptron(1)_I160
weka.MultiBoostAB_MultilayerPerceptron(1)_P100
weka.MultiBoostAB_MultilayerPerceptron(1)_S1
weka.MultiBoostAB_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
0.9998
Per class
F measure
0.9958
Per class
Kappa
0.9937
KB relative information score
12850.2842
Mean absolute error
0.0025
Mean prior absolute error
0.273
Number of instances
12960
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.996
Per class
Predictive accuracy
0.9957
Prior entropy
1.7176
Recall
0.9957
Per class
Relative absolute error
0.0092
Root mean prior squared error
0.3695
Root mean squared error
0.0324
Root relative squared error
0.0877
SciMark benchmark
942.5752[561.20997989739871014.4538012229739477.4307645158636898.06100736794291761.7203488120049]