Machine learning in trading: theory, models, practice and algo-trading - page 2378
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I don't know what you're writing there and how, it's yours, but I need to know that in the target one step out of the future relative to the sample, is this true or not?
It's intricate why so, in the target the result of making a decision on the current line of predictors. I.e. there is no need to shift anything.
It is intricate why, in the target, the decision result of the current line of predictors. That is, there is no need to shift anything.
In short, everything is as you wanted, even by tuning.
Accuracy : 0.535
Throw it away and forget about it.
"Target_P"
Gives 0.97 acurasi
Do you teach regression to ones and zeros?
So?
So?
https://www.machinelearningmastery.ru/why-linear-regression-is-not-suitable-for-binary-classification-c64457be8e28/
Karoch all done as you wanted, even tuning.
Throw it away and forget it.
gives 0.97 akurasi
I still gives me nothing :) Already more than 20 libraries have demanded to download - I continue, but it is not enough :)
What does this line mean:
?
Do you teach regression to ones and zeros?
This idea was expressed by an experienced person - I see no problem checking it out.
I got this result on a training sample:
How do I apply the model to another sample/file?
And why are there so few numbers in the contingency table, if I have 4683 rows in the training file, and here I have 83+59+17+41?
And I get it, you submitted the first 200 lines - right?
But they seemed to be involved in the training.
Oh, thank you!
Now let's try to run it :)
I can't install the glmnet package - I can't find it in the repository via R-Studio :(
What to do?
Install it correctly