DEVELOPMENT... OpenML
Run
21620

Run 21620

Task 57 (Supervised Classification) ionosphere Uploaded 19-06-2014 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)_I40
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
0.9726
Per class
F measure
0.8937
Per class
Kappa
0.7648
KB relative information score
264.6961
Mean absolute error
0.1137
Mean prior absolute error
0.4604
Number of instances
351
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9058
Per class
Predictive accuracy
0.8974
Prior entropy
0.9425
Recall
0.8974
Per class
Relative absolute error
0.2469
Root mean prior squared error
0.4797
Root mean squared error
0.2658
Root relative squared error
0.554
SciMark benchmark
915.4929[547.4703642434524989.704664392416430.5300088475373890.73739133928871719.0221135167596]