Which part of the data should I use for Linear Regression?
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I have a dataset composed of Carbon Monoxide level per 5 seconds (up to 20 seconds) as my independent variables/features and mg/dl (Glucose) as dependent variable. I want to use Regression to make a model for the CO level in breath vs Glucose in blood. Should I use the average of four instances (5s, 10s, 15s, 20s), should I have them all as features? Or should I manipulate it first?
My data goes like this
CO(5s) | CO(10s) | CO(15s) | CO(20s) | mg/dl
161 168 165 170 8.6
machine-learning regression
asked 16 hours ago
James-Andrew R. SarmientoJames-Andrew R. Sarmiento
61
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add a comment |
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I have a dataset composed of Carbon Monoxide level per 5 seconds (up to 20 seconds) as my independent variables/features and mg/dl (Glucose) as dependent variable. I want to use Regression to make a model for the CO level in breath vs Glucose in blood. Should I use the average of four instances (5s, 10s, 15s, 20s), should I have them all as features? Or should I manipulate it first?
My data goes like this
CO(5s) | CO(10s) | CO(15s) | CO(20s) | mg/dl
161 168 165 170 8.6
machine-learning regression
asked 16 hours ago
James-Andrew R. SarmientoJames-Andrew R. Sarmiento
61
New contributor
James-Andrew R. Sarmiento 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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It is best that you plot your variables and dependant variables to see whether there is any seasonality, or how they fluctuate..Yes, usually you have to do some rolling average smooth the trend or some differencing to make your series stationary. Without knowing details, it would be hard to give good suggestions.
$endgroup$
– Majid Mortazavi
15 hours ago
add a comment |
$begingroup$
I have a dataset composed of Carbon Monoxide level per 5 seconds (up to 20 seconds) as my independent variables/features and mg/dl (Glucose) as dependent variable. I want to use Regression to make a model for the CO level in breath vs Glucose in blood. Should I use the average of four instances (5s, 10s, 15s, 20s), should I have them all as features? Or should I manipulate it first?
My data goes like this
CO(5s) | CO(10s) | CO(15s) | CO(20s) | mg/dl
161 168 165 170 8.6
machine-learning regression
asked 16 hours ago
James-Andrew R. SarmientoJames-Andrew R. Sarmiento
61
New contributor
James-Andrew R. Sarmiento 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 composed of Carbon Monoxide level per 5 seconds (up to 20 seconds) as my independent variables/features and mg/dl (Glucose) as dependent variable. I want to use Regression to make a model for the CO level in breath vs Glucose in blood. Should I use the average of four instances (5s, 10s, 15s, 20s), should I have them all as features? Or should I manipulate it first?
My data goes like this
CO(5s) | CO(10s) | CO(15s) | CO(20s) | mg/dl
161 168 165 170 8.6
machine-learning regression
machine-learning regression
asked 16 hours ago
James-Andrew R. SarmientoJames-Andrew R. Sarmiento
61
New contributor
James-Andrew R. Sarmiento is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 16 hours ago
James-Andrew R. SarmientoJames-Andrew R. Sarmiento
61
New contributor
James-Andrew R. Sarmiento is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 16 hours ago
James-Andrew R. SarmientoJames-Andrew R. Sarmiento
61
New contributor
James-Andrew R. Sarmiento is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 16 hours ago
James-Andrew R. SarmientoJames-Andrew R. Sarmiento
61
asked 16 hours ago
James-Andrew R. SarmientoJames-Andrew R. Sarmiento
61
61
New contributor
James-Andrew R. Sarmiento is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
James-Andrew R. Sarmiento is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
James-Andrew R. Sarmiento is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$begingroup$
It is best that you plot your variables and dependant variables to see whether there is any seasonality, or how they fluctuate..Yes, usually you have to do some rolling average smooth the trend or some differencing to make your series stationary. Without knowing details, it would be hard to give good suggestions.
$endgroup$
– Majid Mortazavi
15 hours ago
add a comment |
$begingroup$
It is best that you plot your variables and dependant variables to see whether there is any seasonality, or how they fluctuate..Yes, usually you have to do some rolling average smooth the trend or some differencing to make your series stationary. Without knowing details, it would be hard to give good suggestions.
$endgroup$
– Majid Mortazavi
15 hours ago
$begingroup$
It is best that you plot your variables and dependant variables to see whether there is any seasonality, or how they fluctuate..Yes, usually you have to do some rolling average smooth the trend or some differencing to make your series stationary. Without knowing details, it would be hard to give good suggestions.
$endgroup$
– Majid Mortazavi
15 hours ago
$begingroup$
It is best that you plot your variables and dependant variables to see whether there is any seasonality, or how they fluctuate..Yes, usually you have to do some rolling average smooth the trend or some differencing to make your series stationary. Without knowing details, it would be hard to give good suggestions.
$endgroup$
– Majid Mortazavi
15 hours ago
add a comment |
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$begingroup$
It is best that you plot your variables and dependant variables to see whether there is any seasonality, or how they fluctuate..Yes, usually you have to do some rolling average smooth the trend or some differencing to make your series stationary. Without knowing details, it would be hard to give good suggestions.
$endgroup$
– Majid Mortazavi
15 hours ago