How to deal with a situation that the number of features in training dataset is larger than the number of training examples Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30 pm US/Eastern) 2019 Moderator Election Q&A - Questionnaire 2019 Community Moderator Election Resultssklearn - overfitting problemBoolean classification on stringsHow can I deal with data that is on the format “Image + single number”?How to deal with categorical variablesHow to choose the number of features to select and number of features to drop?Training a regression algorithm with a variable number of featuresReinforcement learning - How to deal with varying number of actions which do number approximationCan training examples with almost the same features but different output cause machine learning classification algorithms to perform poorly?How to approach a machine learning problem?Having averaged trials which are less than the number of features
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How to deal with a situation that the number of features in training dataset is larger than the number of training examples
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30 pm US/Eastern)
2019 Moderator Election Q&A - Questionnaire
2019 Community Moderator Election Resultssklearn - overfitting problemBoolean classification on stringsHow can I deal with data that is on the format “Image + single number”?How to deal with categorical variablesHow to choose the number of features to select and number of features to drop?Training a regression algorithm with a variable number of featuresReinforcement learning - How to deal with varying number of actions which do number approximationCan training examples with almost the same features but different output cause machine learning classification algorithms to perform poorly?How to approach a machine learning problem?Having averaged trials which are less than the number of features
$begingroup$
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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