How to deal with count data in random forest
$begingroup$
I am working on a classification model where my target class is a biased class with the class shape as
0 1
20694 101
Most of my features are the count of number of times a certain event was triggered. While exploring these features I found that my target variable is only associated with certain values of features. For example as below
0 1
Feature V1
0 12014 75
1 6490 16
2 1177 6
3 402 2
4 176 2
5 100
6 84
7 61
8 39
9 23
10 26
11 14
As we can see that 1 only occurs when V1 has value of 0 to 4.Thus for any unseen data my model would always predict 0 whenever V1 has value greater than 4.
I thought of using bestNormalize package, however the transformations it is suggesting looses correlation when applied to the data.
Any suggestion would be of great help.
Thanks a lot in advance!!
P.S. Happy to share the data if required.
machine-learning random-forest data-cleaning machine-learning-model data-wrangling
asked 59 mins ago
Tushar MehtaTushar Mehta
1
New contributor
Tushar Mehta is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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$endgroup$
add a comment |
$begingroup$
I am working on a classification model where my target class is a biased class with the class shape as
0 1
20694 101
Most of my features are the count of number of times a certain event was triggered. While exploring these features I found that my target variable is only associated with certain values of features. For example as below
0 1
Feature V1
0 12014 75
1 6490 16
2 1177 6
3 402 2
4 176 2
5 100
6 84
7 61
8 39
9 23
10 26
11 14
As we can see that 1 only occurs when V1 has value of 0 to 4.Thus for any unseen data my model would always predict 0 whenever V1 has value greater than 4.
I thought of using bestNormalize package, however the transformations it is suggesting looses correlation when applied to the data.
Any suggestion would be of great help.
Thanks a lot in advance!!
P.S. Happy to share the data if required.
machine-learning random-forest data-cleaning machine-learning-model data-wrangling
asked 59 mins ago
Tushar MehtaTushar Mehta
1
New contributor
Tushar Mehta is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
I am working on a classification model where my target class is a biased class with the class shape as
0 1
20694 101
Most of my features are the count of number of times a certain event was triggered. While exploring these features I found that my target variable is only associated with certain values of features. For example as below
0 1
Feature V1
0 12014 75
1 6490 16
2 1177 6
3 402 2
4 176 2
5 100
6 84
7 61
8 39
9 23
10 26
11 14
As we can see that 1 only occurs when V1 has value of 0 to 4.Thus for any unseen data my model would always predict 0 whenever V1 has value greater than 4.
I thought of using bestNormalize package, however the transformations it is suggesting looses correlation when applied to the data.
Any suggestion would be of great help.
Thanks a lot in advance!!
P.S. Happy to share the data if required.
machine-learning random-forest data-cleaning machine-learning-model data-wrangling
asked 59 mins ago
Tushar MehtaTushar Mehta
1
New contributor
Tushar Mehta is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I am working on a classification model where my target class is a biased class with the class shape as
0 1
20694 101
Most of my features are the count of number of times a certain event was triggered. While exploring these features I found that my target variable is only associated with certain values of features. For example as below
0 1
Feature V1
0 12014 75
1 6490 16
2 1177 6
3 402 2
4 176 2
5 100
6 84
7 61
8 39
9 23
10 26
11 14
As we can see that 1 only occurs when V1 has value of 0 to 4.Thus for any unseen data my model would always predict 0 whenever V1 has value greater than 4.
I thought of using bestNormalize package, however the transformations it is suggesting looses correlation when applied to the data.
Any suggestion would be of great help.
Thanks a lot in advance!!
P.S. Happy to share the data if required.
machine-learning random-forest data-cleaning machine-learning-model data-wrangling
machine-learning random-forest data-cleaning machine-learning-model data-wrangling
asked 59 mins ago
Tushar MehtaTushar Mehta
1
New contributor
Tushar Mehta is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 59 mins ago
Tushar MehtaTushar Mehta
1
New contributor
Tushar Mehta is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 59 mins ago
Tushar MehtaTushar Mehta
1
New contributor
Tushar Mehta is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 59 mins ago
Tushar MehtaTushar Mehta
1
asked 59 mins ago
Tushar MehtaTushar Mehta
1
1
New contributor
Tushar Mehta is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Tushar Mehta is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Tushar Mehta is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
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