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Machine learning algorithms build a model of the training data. The term "machine learning" is vaguely defined; it includes what is also called statistical learning, reinforcement learning, unsupervised learning, etc. ALWAYS ADD A MORE SPECIFIC TAG.

1 vote
Accepted

Classification based on a large number of independent continuous variables

If you try to fit 100 data points with 10000 parameters all at once you will be in deep trouble since you have more variables than constraints! You might want to try doing a first pass where you loop …
Greg Petersen's user avatar
1 vote

Predictive Model for Attribution Model

I think they way you are thinking about it is correct, but I would add a little bit more related to how I think the company would use this information. 1.) Maximize your return on investment. You el …
Greg Petersen's user avatar
2 votes
Accepted

How many features should I say I have in my model?

You are explicitly giving your model 4 different degrees of freedom so you would say you are using 4 features.
Greg Petersen's user avatar