Selection of Categorical Features on basis of their values frequency
I am working on basic Machine Learning Linear Regression Model creation.
I have Categorical Features which are having kind of skewed counts like
AllPub 1459
NoSeWa 1
Name: Utilities, dtype: int64
As one can see that AllPub is the one which is contributed more. So is it useful in model creation? Shall i use it or not??
machine-learning
asked Nov 13 '18 at 10:17
N6t9NN6t9N
213
add a comment |
I am working on basic Machine Learning Linear Regression Model creation.
I have Categorical Features which are having kind of skewed counts like
AllPub 1459
NoSeWa 1
Name: Utilities, dtype: int64
As one can see that AllPub is the one which is contributed more. So is it useful in model creation? Shall i use it or not??
machine-learning
asked Nov 13 '18 at 10:17
N6t9NN6t9N
213
add a comment |
I am working on basic Machine Learning Linear Regression Model creation.
I have Categorical Features which are having kind of skewed counts like
AllPub 1459
NoSeWa 1
Name: Utilities, dtype: int64
As one can see that AllPub is the one which is contributed more. So is it useful in model creation? Shall i use it or not??
machine-learning
asked Nov 13 '18 at 10:17
N6t9NN6t9N
213
I am working on basic Machine Learning Linear Regression Model creation.
I have Categorical Features which are having kind of skewed counts like
AllPub 1459
NoSeWa 1
Name: Utilities, dtype: int64
As one can see that AllPub is the one which is contributed more. So is it useful in model creation? Shall i use it or not??
machine-learning
machine-learning
asked Nov 13 '18 at 10:17
N6t9NN6t9N
213
asked Nov 13 '18 at 10:17
N6t9NN6t9N
213
asked Nov 13 '18 at 10:17
N6t9NN6t9N
213
asked Nov 13 '18 at 10:17
N6t9NN6t9N
213
asked Nov 13 '18 at 10:17
N6t9NN6t9N
213
213
add a comment |
add a comment |
1 Answer
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As you can see most of the values are of AllPub, only one value is of NoSeWa. It will not make much difference if you keep or remove.
Another way of thinking might be a outlier. Since there is count of only one, it might have entered incorrectly. You can impute that value with mode.
answered Nov 13 '18 at 11:53
sandeep patilsandeep patil
362
add a comment |
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As you can see most of the values are of AllPub, only one value is of NoSeWa. It will not make much difference if you keep or remove.
Another way of thinking might be a outlier. Since there is count of only one, it might have entered incorrectly. You can impute that value with mode.
answered Nov 13 '18 at 11:53
sandeep patilsandeep patil
362
add a comment |
As you can see most of the values are of AllPub, only one value is of NoSeWa. It will not make much difference if you keep or remove.
Another way of thinking might be a outlier. Since there is count of only one, it might have entered incorrectly. You can impute that value with mode.
answered Nov 13 '18 at 11:53
sandeep patilsandeep patil
362
add a comment |
As you can see most of the values are of AllPub, only one value is of NoSeWa. It will not make much difference if you keep or remove.
Another way of thinking might be a outlier. Since there is count of only one, it might have entered incorrectly. You can impute that value with mode.
answered Nov 13 '18 at 11:53
sandeep patilsandeep patil
362
As you can see most of the values are of AllPub, only one value is of NoSeWa. It will not make much difference if you keep or remove.
Another way of thinking might be a outlier. Since there is count of only one, it might have entered incorrectly. You can impute that value with mode.
answered Nov 13 '18 at 11:53
sandeep patilsandeep patil
362
answered Nov 13 '18 at 11:53
sandeep patilsandeep patil
362
answered Nov 13 '18 at 11:53
sandeep patilsandeep patil
362
answered Nov 13 '18 at 11:53
sandeep patilsandeep patil
362
362
add a comment |
add a comment |
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