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Can I use statistics of original data as input features?
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$begingroup$
I've got a problem regarding defect analysis, where the goal is to improve the manufacturing process of a factory.
The factory does one or more batches of production everyday, each one divided by groups of pieces. We call each group in a batch a "spoon".
So, I've been given data of the number of errors and number of produced pieces in each batch, and then I have data of the production process at "spoon" level, and other data from other parts of the process (casts, ovens) which I can relate to the rest by the date and hour.
I do know which "spoons" belong to which batches, but I do not know the exact size of a "spoon" in terms of pieces.
Essentially, given that the output variable "proportion of error" is at batch level, I would need batch instances in order to develop a model using supervised learning.
Do you know if this is possible, via averaging or other statistical measures of the "spoons" that form a batch? Or do I have to proceed directly to unsupervised learning (clustering, outlier detection...)
feature-extraction anomaly-detection
asked 15 hours ago
user3897600user3897600
1
New contributor
user3897600 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've got a problem regarding defect analysis, where the goal is to improve the manufacturing process of a factory.
The factory does one or more batches of production everyday, each one divided by groups of pieces. We call each group in a batch a "spoon".
So, I've been given data of the number of errors and number of produced pieces in each batch, and then I have data of the production process at "spoon" level, and other data from other parts of the process (casts, ovens) which I can relate to the rest by the date and hour.
I do know which "spoons" belong to which batches, but I do not know the exact size of a "spoon" in terms of pieces.
Essentially, given that the output variable "proportion of error" is at batch level, I would need batch instances in order to develop a model using supervised learning.
Do you know if this is possible, via averaging or other statistical measures of the "spoons" that form a batch? Or do I have to proceed directly to unsupervised learning (clustering, outlier detection...)
feature-extraction anomaly-detection
asked 15 hours ago
user3897600user3897600
1
New contributor
user3897600 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
1
$begingroup$
It's not quite clear what the issue is here. You're predicting at the batch level but can use statistics about that batch as you like. Does the variable size of spoons matter? is it that some statistics about spoons vary with size, and you don't know the size and don't know if they're comparable?
$endgroup$
– Sean Owen♦
13 hours ago
add a comment |
$begingroup$
I've got a problem regarding defect analysis, where the goal is to improve the manufacturing process of a factory.
The factory does one or more batches of production everyday, each one divided by groups of pieces. We call each group in a batch a "spoon".
So, I've been given data of the number of errors and number of produced pieces in each batch, and then I have data of the production process at "spoon" level, and other data from other parts of the process (casts, ovens) which I can relate to the rest by the date and hour.
I do know which "spoons" belong to which batches, but I do not know the exact size of a "spoon" in terms of pieces.
Essentially, given that the output variable "proportion of error" is at batch level, I would need batch instances in order to develop a model using supervised learning.
Do you know if this is possible, via averaging or other statistical measures of the "spoons" that form a batch? Or do I have to proceed directly to unsupervised learning (clustering, outlier detection...)
feature-extraction anomaly-detection
asked 15 hours ago
user3897600user3897600
1
New contributor
user3897600 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I've got a problem regarding defect analysis, where the goal is to improve the manufacturing process of a factory.
The factory does one or more batches of production everyday, each one divided by groups of pieces. We call each group in a batch a "spoon".
So, I've been given data of the number of errors and number of produced pieces in each batch, and then I have data of the production process at "spoon" level, and other data from other parts of the process (casts, ovens) which I can relate to the rest by the date and hour.
I do know which "spoons" belong to which batches, but I do not know the exact size of a "spoon" in terms of pieces.
Essentially, given that the output variable "proportion of error" is at batch level, I would need batch instances in order to develop a model using supervised learning.
Do you know if this is possible, via averaging or other statistical measures of the "spoons" that form a batch? Or do I have to proceed directly to unsupervised learning (clustering, outlier detection...)
feature-extraction anomaly-detection
feature-extraction anomaly-detection
asked 15 hours ago
user3897600user3897600
1
New contributor
user3897600 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 15 hours ago
user3897600user3897600
1
New contributor
user3897600 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 15 hours ago
user3897600user3897600
1
New contributor
user3897600 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 15 hours ago
user3897600user3897600
1
asked 15 hours ago
user3897600user3897600
1
1
New contributor
user3897600 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
user3897600 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
user3897600 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
1
$begingroup$
It's not quite clear what the issue is here. You're predicting at the batch level but can use statistics about that batch as you like. Does the variable size of spoons matter? is it that some statistics about spoons vary with size, and you don't know the size and don't know if they're comparable?
$endgroup$
– Sean Owen♦
13 hours ago
add a comment |
1
$begingroup$
It's not quite clear what the issue is here. You're predicting at the batch level but can use statistics about that batch as you like. Does the variable size of spoons matter? is it that some statistics about spoons vary with size, and you don't know the size and don't know if they're comparable?
$endgroup$
– Sean Owen♦
13 hours ago
1
1
$begingroup$
It's not quite clear what the issue is here. You're predicting at the batch level but can use statistics about that batch as you like. Does the variable size of spoons matter? is it that some statistics about spoons vary with size, and you don't know the size and don't know if they're comparable?
$endgroup$
– Sean Owen♦
13 hours ago
$begingroup$
It's not quite clear what the issue is here. You're predicting at the batch level but can use statistics about that batch as you like. Does the variable size of spoons matter? is it that some statistics about spoons vary with size, and you don't know the size and don't know if they're comparable?
$endgroup$
– Sean Owen♦
13 hours ago
add a comment |
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$begingroup$
It's not quite clear what the issue is here. You're predicting at the batch level but can use statistics about that batch as you like. Does the variable size of spoons matter? is it that some statistics about spoons vary with size, and you don't know the size and don't know if they're comparable?
$endgroup$
– Sean Owen♦
13 hours ago