Feature scaling missing

[davidglavas]

ml-class/mlclass-ex1/ex1_multi.m

Line 153 in 0b06b73

price = [1 1650 3] * theta;

The size and number of bedrooms should be scaled with the previously computed mean mu and standard deviation sigma.

From Andrew Ng's exercise sheet:

Implementation Note: When normalizing the features, it is important
to store the values used for normalization - the mean value and the stan-
dard deviation used for the computations. After learning the parameters
from the model, we often want to predict the prices of houses we have not
seen before. Given a new x value (living room area and number of bed-
rooms), we must rst normalize x using the mean and standard deviation
that we had previously computed from the training set.

[davidglavas]

Suggestion:

price = 1650;
bedrooms = 3;
example = [1, (price-mu(1))/sigma(1), (bedrooms-mu(2))/sigma(2)];	% feature scaling
price = example*theta; % (You should change this) -> changed it.