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2 votes

how can I fix my model to accurately assess zero values?

Currently you predict a single Y scalar value, in the unit interval, for each pixel. higher emphasis on 0 values? You're describing your Loss function, and saying that in the Business Domain a ten ...
J_H's user avatar
  • 1,035
1 vote

I got 100% accuracy on my test set,is there something wrong?

Also check if one of tour predictores is a derived features from the Target variable, u can do that check-in with value_counts on ur Target and also on variables where You SEE too much similarity. You ...
Victor Henostroza's user avatar
0 votes

What if the votes for 2 classes are equal in an ensemble learning technique?

Technically RF in sklearn to get final prediction sums the probability values and divides by number of estimators. Refer to _accumulate_prediction function in the repo: ...
Abhishek Sawant's user avatar
2 votes

Error while executing the adaptiverandomforest with river libraray

What version of the river package are you using? If you check the documentation, you will see that the ...
Oxbowerce's user avatar
  • 7,507

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