How to deal with a situation that the number of features in training dataset is larger than the number of...
$begingroup$
I am playing a Kaggle competition, Don't Overfit Ⅱ
And I am dealing with a situation that the number of features in training dataset is larger than the number of training examples, which has 250 training samples and 300 features.
But I never dealt with similar situations before.
So if not mind, could anyone give me some advice on how to avoid overfitting in such extreme situations?
Thanks sincerely.
machine-learning overfitting
asked 3 mins ago
FreAk PointFreAk Point
303
$endgroup$
add a comment |
$begingroup$
I am playing a Kaggle competition, Don't Overfit Ⅱ
And I am dealing with a situation that the number of features in training dataset is larger than the number of training examples, which has 250 training samples and 300 features.
But I never dealt with similar situations before.
So if not mind, could anyone give me some advice on how to avoid overfitting in such extreme situations?
Thanks sincerely.
machine-learning overfitting
asked 3 mins ago
FreAk PointFreAk Point
303
$endgroup$
add a comment |
$begingroup$
I am playing a Kaggle competition, Don't Overfit Ⅱ
And I am dealing with a situation that the number of features in training dataset is larger than the number of training examples, which has 250 training samples and 300 features.
But I never dealt with similar situations before.
So if not mind, could anyone give me some advice on how to avoid overfitting in such extreme situations?
Thanks sincerely.
machine-learning overfitting
asked 3 mins ago
FreAk PointFreAk Point
303
$endgroup$
I am playing a Kaggle competition, Don't Overfit Ⅱ
And I am dealing with a situation that the number of features in training dataset is larger than the number of training examples, which has 250 training samples and 300 features.
But I never dealt with similar situations before.
So if not mind, could anyone give me some advice on how to avoid overfitting in such extreme situations?
Thanks sincerely.
machine-learning overfitting
machine-learning overfitting
asked 3 mins ago
FreAk PointFreAk Point
303
asked 3 mins ago
FreAk PointFreAk Point
303
asked 3 mins ago
FreAk PointFreAk Point
303
asked 3 mins ago
FreAk PointFreAk Point
303
asked 3 mins ago
FreAk PointFreAk Point
303
303
add a comment |
add a comment |
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