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2 votes
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How do I interpret probability results in conjunction with my known precision/accuracy/recall scores?

So for example, let's say I give the model a new piece of data to classify and it returns: (0.3, 0.7) Is there only a 90% chance that the 0.7 is correct? The 90% precision means that when the model ...
MuhammedYunus's user avatar
2 votes

Random forest regression model for stock price prediction output has a flat line in the predicted values during the initial values

It is hard to say without knowing the time of inputs you are providing your model, but apparently based on the learned patterns in the training data most of the days as the start of your test data end ...
Oxbowerce's user avatar
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