Methods for augmenting binary datasets
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I have a small (~100 samples) dataset with roughly 20 features which are mostly binary, and a few are numeric (~5). I wanted to use methods for augmenting the training set and see if I can get better test accuracy. What methods/code can I use for augmenting binary datasets?
data-augmentation smote boosting
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$begingroup$
I have a small (~100 samples) dataset with roughly 20 features which are mostly binary, and a few are numeric (~5). I wanted to use methods for augmenting the training set and see if I can get better test accuracy. What methods/code can I use for augmenting binary datasets?
data-augmentation smote boosting
$endgroup$
bumped to the homepage by Community♦ 1 hour ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
add a comment |
$begingroup$
I have a small (~100 samples) dataset with roughly 20 features which are mostly binary, and a few are numeric (~5). I wanted to use methods for augmenting the training set and see if I can get better test accuracy. What methods/code can I use for augmenting binary datasets?
data-augmentation smote boosting
$endgroup$
I have a small (~100 samples) dataset with roughly 20 features which are mostly binary, and a few are numeric (~5). I wanted to use methods for augmenting the training set and see if I can get better test accuracy. What methods/code can I use for augmenting binary datasets?
data-augmentation smote boosting
data-augmentation smote boosting
edited Dec 23 '18 at 0:28
wacax
1,91021038
1,91021038
asked Nov 22 '18 at 12:55
S_SS_S
101
101
bumped to the homepage by Community♦ 1 hour ago
This question has answers that may be good or bad; the system has marked it active so that they can be reviewed.
bumped to the homepage by Community♦ 1 hour ago
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add a comment |
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You may try Metropolis–Hastings sampling if multi-dimensional, or else Adaptive rejection, unless you've already tried.
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1 Answer
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1 Answer
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$begingroup$
You may try Metropolis–Hastings sampling if multi-dimensional, or else Adaptive rejection, unless you've already tried.
$endgroup$
add a comment |
$begingroup$
You may try Metropolis–Hastings sampling if multi-dimensional, or else Adaptive rejection, unless you've already tried.
$endgroup$
add a comment |
$begingroup$
You may try Metropolis–Hastings sampling if multi-dimensional, or else Adaptive rejection, unless you've already tried.
$endgroup$
You may try Metropolis–Hastings sampling if multi-dimensional, or else Adaptive rejection, unless you've already tried.
answered Nov 22 '18 at 14:08
Random NerdRandom Nerd
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