Hello people :)
Before I begin, I want to say that I am a beginner in the Neural Network field so, if the question seems stupid... please give me a correct answer :)
Yesterday I began to experiment with the Neural Network tools, more precisely with nnstart and nftool. I started with the famous house pricing example. I did everything the tutorial told me to do and I got an answer consisting in a matrix with one row and 506 columns, stored in the output variable.
The first three elements are as follows:
And so on. So far so good. But here are my questions:
Thank you in advance.
Q1. How to interpret those results? What should I understand from them? That the median price for neighborhood 1 should be or will be 24.6073?
A1. For a house with those 13 input parameters, the predicted median house price is $24,607.30
Q2.Let's say that I have a 507th set of data. How can I find the answer for that single set of data, based on the data that the NN already has, without entering it into the input variables, re-training the network, etc.?
A2. The purpose of training the model is to estimate a median price given the 13 input parameters. Since the model is trained, to estimate the price of other houses not in the original set of 506, just use
priceestimate = net(newinput)
Otherwise design another model.
Hope this helps.
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