MATLAB: How to predict housing price using Neural Network Toolbox

Deep Learning Toolboxhousing pricesnn toolbox

I would like to predict housing prices using inputs such as distance away from subway, numbers of rooms etc.. which of the 4 wizards ( fitting tool, pattern recognition tool, clustering tool, time series tool) should i use?
Thank You WT Lim

Best Answer

Use the fitting tool with fitnet
Also, see
 help house_dataset
 doc  house_dataset
 help fitnet
 doc  fitnet
 [ x,t ] = house_dataset;  
 [ I N ] = size(x)        % [ 13 506 ]
 [ O N ] = size(t)        % [ 1 506 ]
 MSE00   = mean(var(t',1)) % 84.42
 net     = fitnet;
 rng('default')
 [net tr y e ] = train(net,x,t); % e=t-y
 NMSE          = mse(e)/MSE00    % normalized MSE = 0.071101
 R2            = 1-NMSE          % Rsquare (See Wikipedia) = 0.9289
% ~ 93% of the target variance is modeled by the net. % Obtain details from the training record
 tr = tr
Hope this helps
Thank you for formally accepting my answer
Greg
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