Select two best classifier using F1-score,Recall and precision
I have three classifiers that classify same dataset with these results:
classifier A:
precision recall f1-score
micro avg 0.36 0.36 0.36
macro avg 0.38 0.43 0.36
weighted avg 0.36 0.36 0.32
classifier B:
precision recall f1-score
micro avg 0.55 0.55 0.55
macro avg 0.60 0.60 0.56
weighted avg 0.61 0.55 0.53
classifier C:
precision recall f1-score
micro avg 0.34 0.34 0.34
macro avg 0.36 0.38 0.32
weighted avg 0.39 0.34 0.32
I want two select two best of them, and I know F1-score is a parameter for compare the classifiers because of its harmony between precision and recall.
So, at first I select classifier B for its best F1-score. for next, both A and C have a same F1-measure,
I want to ask how can I select between them?
machine-learning python classification
asked 1 hour ago
Saha
164
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I have three classifiers that classify same dataset with these results:
classifier A:
precision recall f1-score
micro avg 0.36 0.36 0.36
macro avg 0.38 0.43 0.36
weighted avg 0.36 0.36 0.32
classifier B:
precision recall f1-score
micro avg 0.55 0.55 0.55
macro avg 0.60 0.60 0.56
weighted avg 0.61 0.55 0.53
classifier C:
precision recall f1-score
micro avg 0.34 0.34 0.34
macro avg 0.36 0.38 0.32
weighted avg 0.39 0.34 0.32
I want two select two best of them, and I know F1-score is a parameter for compare the classifiers because of its harmony between precision and recall.
So, at first I select classifier B for its best F1-score. for next, both A and C have a same F1-measure,
I want to ask how can I select between them?
machine-learning python classification
asked 1 hour ago
Saha
164
New contributor
Saha is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
I have three classifiers that classify same dataset with these results:
classifier A:
precision recall f1-score
micro avg 0.36 0.36 0.36
macro avg 0.38 0.43 0.36
weighted avg 0.36 0.36 0.32
classifier B:
precision recall f1-score
micro avg 0.55 0.55 0.55
macro avg 0.60 0.60 0.56
weighted avg 0.61 0.55 0.53
classifier C:
precision recall f1-score
micro avg 0.34 0.34 0.34
macro avg 0.36 0.38 0.32
weighted avg 0.39 0.34 0.32
I want two select two best of them, and I know F1-score is a parameter for compare the classifiers because of its harmony between precision and recall.
So, at first I select classifier B for its best F1-score. for next, both A and C have a same F1-measure,
I want to ask how can I select between them?
machine-learning python classification
asked 1 hour ago
Saha
164
New contributor
Saha is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
I have three classifiers that classify same dataset with these results:
classifier A:
precision recall f1-score
micro avg 0.36 0.36 0.36
macro avg 0.38 0.43 0.36
weighted avg 0.36 0.36 0.32
classifier B:
precision recall f1-score
micro avg 0.55 0.55 0.55
macro avg 0.60 0.60 0.56
weighted avg 0.61 0.55 0.53
classifier C:
precision recall f1-score
micro avg 0.34 0.34 0.34
macro avg 0.36 0.38 0.32
weighted avg 0.39 0.34 0.32
I want two select two best of them, and I know F1-score is a parameter for compare the classifiers because of its harmony between precision and recall.
So, at first I select classifier B for its best F1-score. for next, both A and C have a same F1-measure,
I want to ask how can I select between them?
machine-learning python classification
machine-learning python classification
asked 1 hour ago
Saha
164
New contributor
Saha is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 1 hour ago
Saha
164
New contributor
Saha is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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asked 1 hour ago
Saha
164
New contributor
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asked 1 hour ago
Saha
164
asked 1 hour ago
Saha
164
164
New contributor
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New contributor
Saha is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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add a comment |
add a comment |
1 Answer
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f1-score combines precision and recall in a single figure. As both are pretty similar in A and C cases, f1-score is similar too.
Your choice depends on what it is less harmful in your categorization: false positives or false negatives.
I do recommend you to read the 3rd chapter of "DEEP LEARNING:From Basics to Practice" volume 1 by Andrew Glassner. There you have the three concepts (precision, recall and f1-score) described in a very illustrative way.
answered 50 mins ago
David
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they are not comparable if we dont have FP or FN?
– Saha
46 mins ago
add a comment |
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1 Answer
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active
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votes
1 Answer
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f1-score combines precision and recall in a single figure. As both are pretty similar in A and C cases, f1-score is similar too.
Your choice depends on what it is less harmful in your categorization: false positives or false negatives.
I do recommend you to read the 3rd chapter of "DEEP LEARNING:From Basics to Practice" volume 1 by Andrew Glassner. There you have the three concepts (precision, recall and f1-score) described in a very illustrative way.
answered 50 mins ago
David
212
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David is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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they are not comparable if we dont have FP or FN?
– Saha
46 mins ago
add a comment |
f1-score combines precision and recall in a single figure. As both are pretty similar in A and C cases, f1-score is similar too.
Your choice depends on what it is less harmful in your categorization: false positives or false negatives.
I do recommend you to read the 3rd chapter of "DEEP LEARNING:From Basics to Practice" volume 1 by Andrew Glassner. There you have the three concepts (precision, recall and f1-score) described in a very illustrative way.
answered 50 mins ago
David
212
New contributor
David is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
they are not comparable if we dont have FP or FN?
– Saha
46 mins ago
add a comment |
f1-score combines precision and recall in a single figure. As both are pretty similar in A and C cases, f1-score is similar too.
Your choice depends on what it is less harmful in your categorization: false positives or false negatives.
I do recommend you to read the 3rd chapter of "DEEP LEARNING:From Basics to Practice" volume 1 by Andrew Glassner. There you have the three concepts (precision, recall and f1-score) described in a very illustrative way.
answered 50 mins ago
David
212
New contributor
David is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
f1-score combines precision and recall in a single figure. As both are pretty similar in A and C cases, f1-score is similar too.
Your choice depends on what it is less harmful in your categorization: false positives or false negatives.
I do recommend you to read the 3rd chapter of "DEEP LEARNING:From Basics to Practice" volume 1 by Andrew Glassner. There you have the three concepts (precision, recall and f1-score) described in a very illustrative way.
answered 50 mins ago
David
212
New contributor
David is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
answered 50 mins ago
David
212
New contributor
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answered 50 mins ago
David
212
answered 50 mins ago
David
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they are not comparable if we dont have FP or FN?
– Saha
46 mins ago
add a comment |
they are not comparable if we dont have FP or FN?
– Saha
46 mins ago
they are not comparable if we dont have FP or FN?
– Saha
46 mins ago
they are not comparable if we dont have FP or FN?
– Saha
46 mins ago
add a comment |
Saha is a new contributor. Be nice, and check out our Code of Conduct.
Saha is a new contributor. Be nice, and check out our Code of Conduct.
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