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Run
16290

Run 16290

Task 49 (Supervised Classification) tic-tac-toe Uploaded 04-06-2014 by Felicia West
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Flow

weka.Bagging_MultilayerPerceptron(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_MultilayerPerceptron(1)_I80
weka.Bagging_MultilayerPerceptron(1)_P100
weka.Bagging_MultilayerPerceptron(1)_S1
weka.Bagging_MultilayerPerceptron(1)_Wweka.classifiers.functions.MultilayerPerceptron
weka.Bagging_MultilayerPerceptron(1)_num-slots1
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
0.9979
Per class
F measure
0.9822
Per class
Kappa
0.9604
KB relative information score
899.8512
Mean absolute error
0.0287
Mean prior absolute error
0.453
Number of instances
958
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9826
Per class
Predictive accuracy
0.9823
Prior entropy
0.9312
Recall
0.9823
Per class
Relative absolute error
0.0634
Root mean prior squared error
0.4759
Root mean squared error
0.1211
Root relative squared error
0.2545
SciMark benchmark
944.6772[557.08738953167771014.1868590421574483.44967579697345908.64471704177161760.017229859821]