Does this behavior happen because the inputs are so highly correlated? That is, the prediction line magnitude (pos and neg) is so much higher than the inputs. Stocks went down slightly 2 days in a row, but the graph is still positive even though it trending down.
Does this behavior happen because the inputs are so highly correlated? That is, the prediction line magnitude (pos and neg) is so much higher than the inputs. Stocks went down slightly 2 days in a row, but the graph is still positive even though it trending down.