Hi,
Developing a Neural Network in R to predict the quality of wine.Attached is
the Wine Data Set.Tried twice once by selecting specific features and once
by using all features to predict quality of wine
Each time I run the Neural Network I am getting a huge error.Tried using
feature selection and also used all features
*With Feature Selection*
*winequal<-
neuralnet(quality~volatile.acidity+citric.acid+sulphates+alcohol,winetrain,hidden=2,lifesign="minimal",linear.output=FALSE,threshold=0.1)*
*hidden:2 thresh:0.1 rep:1/1 steps: 52 error:
8486.01111 time: 2.41secs*
*No feature selection*
*winequal1<-neuralnet(quality~fixed.acidity+volatile.acidity+citric.acid+residual.sugar+chlorides+free.sulfur.dioxide+total.sulfur.dioxide+density+pH*
*++sulphates+alcohol,winetrain1,hidden=4,lifesign="minimal",linear.output=FALSE,threshold=0.1)*
Model Produced:
*hidden: 4 thresh:0.1 rep: 1/1 steps: 26 error: 8486.08992
time: 0.1 secs*
Is there any method I can use to reduce the error ? Changing the threshold
or the number of hidden layers does not help.Any tips will be
helpful.Thanks.
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