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WEKA_mlp.txt
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WEKA_mlp.txt
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=== Run information ===
Scheme: weka.classifiers.functions.MultilayerPerceptron -L 0.3 -M 0.2 -N 500 -V 0 -S 0 -E 20 -H a
Relation: WEKA data-weka.filters.unsupervised.attribute.Remove-R3-5,7-8-weka.filters.unsupervised.attribute.Normalize-S1.0-T0.0
Instances: 596
Attributes: 4
AREA
BFIHOST
PROPWET
Index flood
Test mode: split 80.0% train, remainder test
=== Classifier model (full training set) ===
Linear Node 0
Inputs Weights
Threshold -0.03773326196072205
Node 1 0.8004893240661958
Node 2 -0.5598491279234958
Sigmoid Node 1
Inputs Weights
Threshold 2.0627353046757615
Attrib AREA 4.565756233001882
Attrib BFIHOST -0.7669484380471449
Attrib PROPWET 2.0226487842495415
Sigmoid Node 2
Inputs Weights
Threshold -2.1393339476835616
Attrib AREA -0.49685088219831586
Attrib BFIHOST 0.06593883348466277
Attrib PROPWET 2.2632843275776486
Class
Input
Node 0
Time taken to build model: 0.12 seconds
=== Evaluation on test split ===
Time taken to test model on test split: 0 seconds
=== Summary ===
Correlation coefficient 0.8886
Mean absolute error 48.1624
Root mean squared error 74.9671
Relative absolute error 46.2215 %
Root relative squared error 45.9096 %
Total Number of Instances 119