I want to predict prices of stocks, from a set of examples, based on two quantities: average price over the last month and the time of the year (both expressed as numbers). I create a scatterplot with the average price on the horizontal axis and the time of year on the vertical. I plot each stock in my dataset as a point in these axes. What have I drawn? the feature space O the model space the loss surface the principal components