Ashutosh Bhatt
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I have applied 5-fold cross validation neural network for time series forecasting having 4 inputs (column) and 1 output (column) as data. On execution, this code is yielding same MSE over and over. Is the code for calculating mse is correct?
data=xlsread(riceyieldata2.xls); k=5; in1=data(:,1:1); in2=data(:,2:2); in3=data(:,3:3); in...
9 years ago | 0 answers | 0
0
answersQuestion
I have applied 5-fold cross validation for time series forecasting having 4 inputs (column) and 1 output (column) (55 rows) as data. On execution, this code is yielding same MSE over and over. Is the code for calculating mse is correct?
data=xlsread(riceyieldata2.xls'); k=5; in1=data(:,1:1); in2=data(:,2:2); in3=data(:,3:3); in4=data(:,4:4); out1=data(:,5:5...
9 years ago | 0 answers | 0
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answersQuestion
is following matlab code for calulating mse for k-fold cross validation neural network is correct
output123=net(trainMatrix{i}(:,1:2)'); errors=gsubtract(trainMatrix{i}(:,3)',output123); performance=perform(net,trainMatrix{i...
9 years ago | 0 answers | 0