Regression variable colums (not all measures available)?
$begingroup$
I have a dataset it looks this way
X = [location, measure_type, value]
y = [target_value]
The goal is to predict the target_value. It is the same for each location.
So for example for location "A" there may be:
X_1 = [A, type_1, 0.2]
X_2 = [A, type_6, 0.4]
X_3 = [A, type_8, 0.01]
with
Y_1 = Y_2 = Y_3 = [0.5]
One Idea that I have would be to place each type in a column and fill the not available values with zeroes. However, some locations may have only one column filled and others much more.
Any Idea of how to deal with such data? Maybe there is some kind of best practice.
Thanks a lot!
PS: One more explanation. The types are kind of related and there are a limit number of types. Right now about 10. So you could imagine it is the sensor model for example (but they produce really different results)
regression feature-selection feature-construction
asked 2 days ago
MichaelRazumMichaelRazum
11
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add a comment |
$begingroup$
I have a dataset it looks this way
X = [location, measure_type, value]
y = [target_value]
The goal is to predict the target_value. It is the same for each location.
So for example for location "A" there may be:
X_1 = [A, type_1, 0.2]
X_2 = [A, type_6, 0.4]
X_3 = [A, type_8, 0.01]
with
Y_1 = Y_2 = Y_3 = [0.5]
One Idea that I have would be to place each type in a column and fill the not available values with zeroes. However, some locations may have only one column filled and others much more.
Any Idea of how to deal with such data? Maybe there is some kind of best practice.
Thanks a lot!
PS: One more explanation. The types are kind of related and there are a limit number of types. Right now about 10. So you could imagine it is the sensor model for example (but they produce really different results)
regression feature-selection feature-construction
asked 2 days ago
MichaelRazumMichaelRazum
11
New contributor
MichaelRazum 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 have a dataset it looks this way
X = [location, measure_type, value]
y = [target_value]
The goal is to predict the target_value. It is the same for each location.
So for example for location "A" there may be:
X_1 = [A, type_1, 0.2]
X_2 = [A, type_6, 0.4]
X_3 = [A, type_8, 0.01]
with
Y_1 = Y_2 = Y_3 = [0.5]
One Idea that I have would be to place each type in a column and fill the not available values with zeroes. However, some locations may have only one column filled and others much more.
Any Idea of how to deal with such data? Maybe there is some kind of best practice.
Thanks a lot!
PS: One more explanation. The types are kind of related and there are a limit number of types. Right now about 10. So you could imagine it is the sensor model for example (but they produce really different results)
regression feature-selection feature-construction
asked 2 days ago
MichaelRazumMichaelRazum
11
New contributor
MichaelRazum is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I have a dataset it looks this way
X = [location, measure_type, value]
y = [target_value]
The goal is to predict the target_value. It is the same for each location.
So for example for location "A" there may be:
X_1 = [A, type_1, 0.2]
X_2 = [A, type_6, 0.4]
X_3 = [A, type_8, 0.01]
with
Y_1 = Y_2 = Y_3 = [0.5]
One Idea that I have would be to place each type in a column and fill the not available values with zeroes. However, some locations may have only one column filled and others much more.
Any Idea of how to deal with such data? Maybe there is some kind of best practice.
Thanks a lot!
PS: One more explanation. The types are kind of related and there are a limit number of types. Right now about 10. So you could imagine it is the sensor model for example (but they produce really different results)
regression feature-selection feature-construction
regression feature-selection feature-construction
asked 2 days ago
MichaelRazumMichaelRazum
11
New contributor
MichaelRazum is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 2 days ago
MichaelRazumMichaelRazum
11
New contributor
MichaelRazum is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
edited 2 days ago
MichaelRazum
asked 2 days ago
MichaelRazumMichaelRazum
11
New contributor
MichaelRazum is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 2 days ago
MichaelRazumMichaelRazum
11
asked 2 days ago
MichaelRazumMichaelRazum
11
11
New contributor
MichaelRazum is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
MichaelRazum is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
MichaelRazum is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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