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Multiclass classification problem with more prediction classes than real classes

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1

$begingroup$

Can I have a multiclass classification problem with more prediction classes than real classes?

For example: I want to predict the channel the user is going to watch. The real classes are "user didn't see tv" and "user saw channel C". The prediction classes are "user will not watch tv", "user will watch channel C", "user will watch one of two channels: C or D".

Is this a good formulation of a classification problem?

How can I calculate the performance metrics as recall, precision, and F1-score per class?

Thanks

classification predictive-modeling statistics algorithms multiclass-classification

share|improve this question

asked 6 hours ago

OlivetreeOlivetree

61

New contributor

Olivetree 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 | 

1

$begingroup$

Can I have a multiclass classification problem with more prediction classes than real classes?

For example: I want to predict the channel the user is going to watch. The real classes are "user didn't see tv" and "user saw channel C". The prediction classes are "user will not watch tv", "user will watch channel C", "user will watch one of two channels: C or D".

Is this a good formulation of a classification problem?

How can I calculate the performance metrics as recall, precision, and F1-score per class?

Thanks

classification predictive-modeling statistics algorithms multiclass-classification

share|improve this question

asked 6 hours ago

OlivetreeOlivetree

61

New contributor

Olivetree 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 | 

$begingroup$

Can I have a multiclass classification problem with more prediction classes than real classes?

For example: I want to predict the channel the user is going to watch. The real classes are "user didn't see tv" and "user saw channel C". The prediction classes are "user will not watch tv", "user will watch channel C", "user will watch one of two channels: C or D".

Is this a good formulation of a classification problem?

How can I calculate the performance metrics as recall, precision, and F1-score per class?

Thanks

classification predictive-modeling statistics algorithms multiclass-classification

share|improve this question

asked 6 hours ago

OlivetreeOlivetree

61

New contributor

Olivetree is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

$endgroup$

share|improve this question

asked 6 hours ago

OlivetreeOlivetree

61

New contributor

Olivetree is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

share|improve this question

asked 6 hours ago

OlivetreeOlivetree

61

New contributor

Olivetree is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

asked 6 hours ago

OlivetreeOlivetree

61

New contributor

Olivetree is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

asked 6 hours ago

OlivetreeOlivetree

61