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How to build confusion matrix , when predicted value and actual value is in sentence?
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$begingroup$
I am building some model, which predict on basis of highest probability from history and I am assuming this is best action.
I am comparing this with real action.
Predicted : process resumed somedate2
Actual : process resumed at somedate1
As both are similar and assumed this is correct prediction.
I have applied cosine similarity for same and doing comparison.
Is there any better way to compare same and to check accuracy ?
Any help will be appreciated.
machine-learning python nlp confusion-matrix
New contributor
$endgroup$
add a comment |
$begingroup$
I am building some model, which predict on basis of highest probability from history and I am assuming this is best action.
I am comparing this with real action.
Predicted : process resumed somedate2
Actual : process resumed at somedate1
As both are similar and assumed this is correct prediction.
I have applied cosine similarity for same and doing comparison.
Is there any better way to compare same and to check accuracy ?
Any help will be appreciated.
machine-learning python nlp confusion-matrix
New contributor
$endgroup$
add a comment |
$begingroup$
I am building some model, which predict on basis of highest probability from history and I am assuming this is best action.
I am comparing this with real action.
Predicted : process resumed somedate2
Actual : process resumed at somedate1
As both are similar and assumed this is correct prediction.
I have applied cosine similarity for same and doing comparison.
Is there any better way to compare same and to check accuracy ?
Any help will be appreciated.
machine-learning python nlp confusion-matrix
New contributor
$endgroup$
I am building some model, which predict on basis of highest probability from history and I am assuming this is best action.
I am comparing this with real action.
Predicted : process resumed somedate2
Actual : process resumed at somedate1
As both are similar and assumed this is correct prediction.
I have applied cosine similarity for same and doing comparison.
Is there any better way to compare same and to check accuracy ?
Any help will be appreciated.
machine-learning python nlp confusion-matrix
machine-learning python nlp confusion-matrix
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New contributor
New contributor
asked 4 mins ago
AkhileshAkhilesh
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