The weighted k-nearest neighbors (k-NN) classification algorithm is a relatively simple technique to predict the class of an item based on two or more numeric predictor variables. For example, you ...

Price weighted average = (Sum of prices) / (Number of stocks) For example, if you want to calculate a price-weighted average of four stocks with prices of $100, $70, $60, and $30, you can do so as ...

With this weighted average, we can now calculate a different and more accurate EPS of $0.80 per share. Bear in mind that this is a simplified example, and a company's number of outstanding shares ...