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Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.

4 votes
1 answer
111 views

How to tackle imbalanced regression?

I've recently encountered a problem where I want to fit a regression model on data that's target variable is like 75% zeroes, and the rest is a continuous variable. … This makes it a regression problem, however, the non-zero values also have a very high variance: they can take anywhere from between 1 to 105 million. …
lte__'s user avatar
  • 1,359
2 votes
1 answer
127 views

SKLearn DT regressor - good enough score?

What constitutes as a "good enough" score for a Decision Tree Regressor? The .score() function gives us a general score about our model. This can be 1 if the model predicts all data with a 100% accura …
lte__'s user avatar
  • 1,359
2 votes
1 answer
38 views

Structuring experiment/training data with months in mind

We're using a whole year's data to predict a certain target variable.The model works like data - OneHot encoding the categorical variables - MinMaxScaler - PCA (to choose a subset of 2000 components o …
lte__'s user avatar
  • 1,359
1 vote
1 answer
69 views

LabelEncoder with a Multi-Layer Perceptron?

So we're working on a machine learning project at work and it's the first time I'm working with an actual team on this. I got pretty good results with a model that uses the following SKLearn pipeline: …
lte__'s user avatar
  • 1,359