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1 vote
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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
2 answers
793 views

Label distribution over training, validation and test [closed]

I am wondering over whether the number of classes distributed over my training, validation, and test label affects the model.
Martin Xristev's user avatar
1 vote
1 answer
38 views

A good machine learning approach for distribution of a whole?

So I had done with different classification, regression and clustering approaches for predictions of values etc. I was wondering if there is a machine learning approach for distribution of a whole ...
Hamza's user avatar
  • 143
2 votes
0 answers
124 views

How to estimate the marginal distribution of a class with respect to one predictor in a classification task?

I have a dataset with a binary dependent variable $y \in \{0,1\}$ and a set of predictors $x1,x2,..,t$. Here, $t$ is the time in minutes (in 24 hrs, that is $t \in (0,1440)$). I want to estimate the ...
Shanthan K's user avatar
4 votes
2 answers
61 views

Is it possible to train probabilistic model to return several distributions?

I have nonlinear data of function y(x), which is let's say parabolic. At some points of x there are several y's (look at the picture). Is it possible to train a probabilistic model to return several ...
BatyaGG's user avatar
  • 141
2 votes
1 answer
174 views

Does classification of a balanced data-set lead to any problem?

So I came across a bioinformatics paper, where I found a line which says: One potential problem with using a training set with equal numbers of positive and negative examples in cross-validation ...
girl101's user avatar
  • 1,161