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Run
18163

Run 18163

Task 11 (Supervised Classification) balance-scale Uploaded 10-06-2014 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)_I20
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
0.9795
Per class
F measure
0.9278
Per class
Kappa
0.8734
KB relative information score
534.434
Mean absolute error
0.0498
Mean prior absolute error
0.3798
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9276
Per class
Predictive accuracy
0.928
Prior entropy
1.3212
Recall
0.928
Per class
Relative absolute error
0.1312
Root mean prior squared error
0.4356
Root mean squared error
0.201
Root relative squared error
0.4616
SciMark benchmark
941.8262[561.93317930202351013.6533959159474483.88543266528814911.48820099582031738.1709066016394]