Using datasets to predict the results for other devices
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I have a datasets that contain results from a series of physical tests. It has about a dozen features and the outcome of each test is distinguished by 3 different classes.
The dataset includes features like: [X, Y, Z, temperature, input voltage]
and as far as I know, these are all independent variables.
I then have a result column for the test [failure, success, other]
I have multiple of these datasets from testing of different devices.
I am trying to figure out if I can use the data from one device to predict the results for any of the other devices. If I can, I would like some way to measure how closely they are correlated, and which variables most strongly contribute to the prediction.
python data-mining predictive-modeling feature-extraction
asked 4 hours ago
CuriousCurious
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I have a datasets that contain results from a series of physical tests. It has about a dozen features and the outcome of each test is distinguished by 3 different classes.
The dataset includes features like: [X, Y, Z, temperature, input voltage]
and as far as I know, these are all independent variables.
I then have a result column for the test [failure, success, other]
I have multiple of these datasets from testing of different devices.
I am trying to figure out if I can use the data from one device to predict the results for any of the other devices. If I can, I would like some way to measure how closely they are correlated, and which variables most strongly contribute to the prediction.
python data-mining predictive-modeling feature-extraction
asked 4 hours ago
CuriousCurious
12
New contributor
Curious 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 datasets that contain results from a series of physical tests. It has about a dozen features and the outcome of each test is distinguished by 3 different classes.
The dataset includes features like: [X, Y, Z, temperature, input voltage]
and as far as I know, these are all independent variables.
I then have a result column for the test [failure, success, other]
I have multiple of these datasets from testing of different devices.
I am trying to figure out if I can use the data from one device to predict the results for any of the other devices. If I can, I would like some way to measure how closely they are correlated, and which variables most strongly contribute to the prediction.
python data-mining predictive-modeling feature-extraction
asked 4 hours ago
CuriousCurious
12
New contributor
Curious 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 datasets that contain results from a series of physical tests. It has about a dozen features and the outcome of each test is distinguished by 3 different classes.
The dataset includes features like: [X, Y, Z, temperature, input voltage]
and as far as I know, these are all independent variables.
I then have a result column for the test [failure, success, other]
I have multiple of these datasets from testing of different devices.
I am trying to figure out if I can use the data from one device to predict the results for any of the other devices. If I can, I would like some way to measure how closely they are correlated, and which variables most strongly contribute to the prediction.
python data-mining predictive-modeling feature-extraction
python data-mining predictive-modeling feature-extraction
asked 4 hours ago
CuriousCurious
12
New contributor
Curious is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 4 hours ago
CuriousCurious
12
New contributor
Curious is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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edited 6 mins ago
Curious
asked 4 hours ago
CuriousCurious
12
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Curious is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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asked 4 hours ago
CuriousCurious
12
asked 4 hours ago
CuriousCurious
12
12
New contributor
Curious is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Curious 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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