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f-rumblefish/Performance under Different Algorithms

Created April 24, 2018 09:56
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Performance under Different Algorithms
MLP (3 layers, 32 neurons, 30 epochs) ...
accuracy = 0.9986 time = 14.8910531305
[[3378 0 0]
[ 0 3407 0]
[ 13 1 3201]]
Naive Bayes ...
accuracy = 0.9874 time = 1.30055759897
[[3252 0 126]
[ 0 3407 0]
[ 0 0 3215]]
Random Forest ...
accuracy = 1.0 time = 3.23794154915
[[3378 0 0]
[ 0 3407 0]
[ 0 0 3215]]
Gradient Boosting ...
accuracy = 1.0 time = 128.849120774
[[3378 0 0]
[ 0 3407 0]
[ 0 0 3215]]
SVM ...
accuracy = 1.0 time = 116.055568152
[[3378 0 0]
[ 0 3407 0]
[ 0 0 3215]]
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