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1 vote
0 answers
38 views

Strange behaviour around zero for predicted distributions from a deep learning regression model

Can somebody help make sense of these very odd distributions that I obtained from my trained deep learning regression model? The model was trained with either MAE or MSE loss, which is what the ...
Daan Scheepens's user avatar
1 vote
1 answer
106 views

Handling gaps in regression model

I'm facing a regression problem where I'm supposed to predict the delay of some trains. There's some peculiar particularity, however: a train is not considered delayed until it has more than 10 mins ...
nprime496's user avatar
3 votes
1 answer
2k views

Normal distribution and Random Forest

I have big table in dataframe (600k rows) which has y column (the variable I want to predict) and other 4 other columns that are the X. I have run RF regressor and I got score of 0.87 when I run it ...
Reut's user avatar
  • 299
6 votes
4 answers
4k views

Regression: How to deal with positive skewness in continuous target variable

I'm working on a regression problem. My aim is to "learn" the distribution of a continuous target $y$ as good as possible to make predictions. My model looks like: $$y_i=\beta X_i + u_i.$$ $y$ is ...
Peter's user avatar
  • 7,776
9 votes
3 answers
6k views

xgboost: Is there a way to perform regression on rates/percentages data?

I have a dependent variable, $Y$, that is made up of rates/percentages data, so each value is between $0$ and $1$. I was attracted to the xgboost library because it allows focusing in on specific ...
Coolio2654's user avatar
1 vote
1 answer
29 views

How to get maintenance interval from maintenance outcomes?

I have a machine, which needs maintenance. Every time the technician visits the machine, there are four possible outcomes: a) The machine is broken, b) The machine is still running, but it's high ...
ChAlbert's user avatar