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SmoteRegress may have some difficulty succeeding on some numeric features.
```r
xy 1 and only the first element will be used
2: In if (class(dat[, col]) %in% c("factor", "character")) { :
the…
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We're trying to use smote to handle an imbalanced classification problem (also see mlr-mbo issue 213)
However, Smote only seems to handle binary problems right now. Is there any reason why it should …
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Thanks for sharing the models and features. I have tried the feature for VQA with my own model, really surprising results indeed :)
I have two questions as follows:
1. As the VQA datasets is b…
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For products with extremely small numbers of purchasers, the probabilities returned will be quite high even though the product is not very likely to be bought in reality. We will probably need to resa…
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## Context of the issue
[This line](https://github.com/rhiever/tpot/blob/master/tpot/metrics.py#L50) in the `balanced_accuracy` function can incur a division by zero error.
## Process to reprodu…
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Hi,
my problem is related to [#1624](https://github.com/fchollet/keras/issues/1624).
I have the following model for a binary classification task.
Any another clue where the error and how to fix it ?
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While working with imbalanced datasets, do you recommend that the input be processed (downsampling, upsampling, or SMOTE, etc), before using designTreatmentsC on it?
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#### Description
I'm trying to use an imbalanced dataset to run LassoCV (that's why the StratifiedShuffleSplit), but it raises an error. Using another cross validation strategy object yields the same…
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Dear martin,
i am trying to predict if the outcome a a variable is 0 or 1. However, trying to implement the darch package and it sets every observation to a 1. regardless of its input variables.
The…