classification performance metric for high risk medical decisions The 2019 Stack Overflow Developer Survey Results Are InBinary classification model for sparse / biased dataPredictive models with class value belonging to a set of observationsClassification using xgboost - predictionsWhy are precision and recall used in the F1 score, rather than precision and NPV?ROC curves/AUC values as a performance metricGround-truth and feature extraction for predictive modellingDoes the training set of one topic will be useful to predicate the sentiment for any other topic?How much should I pay attention to the f1 score on this case?Understanding the Gini/AUC metric as out-of-development performance metricWhat’s more appropriate for outlier detection? Classification or Regression?
Inverse Relationship Between Precision and Recall
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classification performance metric for high risk medical decisions
The 2019 Stack Overflow Developer Survey Results Are InBinary classification model for sparse / biased dataPredictive models with class value belonging to a set of observationsClassification using xgboost - predictionsWhy are precision and recall used in the F1 score, rather than precision and NPV?ROC curves/AUC values as a performance metricGround-truth and feature extraction for predictive modellingDoes the training set of one topic will be useful to predicate the sentiment for any other topic?How much should I pay attention to the f1 score on this case?Understanding the Gini/AUC metric as out-of-development performance metricWhat’s more appropriate for outlier detection? Classification or Regression?
$begingroup$
What is the best classification performance metric for risky medical treatments like surgery? for example a patient should NOT suggest a surgery (negative) if he/she can be treated by medicine (positive). Does Negative predictive value (TN/TN+FN) works for this situation?
classification predictive-modeling performance
asked Jul 31 '18 at 1:24
Amad ArianAmad Arian
31
$endgroup$
add a comment |
$begingroup$
What is the best classification performance metric for risky medical treatments like surgery? for example a patient should NOT suggest a surgery (negative) if he/she can be treated by medicine (positive). Does Negative predictive value (TN/TN+FN) works for this situation?
classification predictive-modeling performance
asked Jul 31 '18 at 1:24
Amad ArianAmad Arian
31
$endgroup$
add a comment |
$begingroup$
What is the best classification performance metric for risky medical treatments like surgery? for example a patient should NOT suggest a surgery (negative) if he/she can be treated by medicine (positive). Does Negative predictive value (TN/TN+FN) works for this situation?
classification predictive-modeling performance
asked Jul 31 '18 at 1:24
Amad ArianAmad Arian
31
$endgroup$
What is the best classification performance metric for risky medical treatments like surgery? for example a patient should NOT suggest a surgery (negative) if he/she can be treated by medicine (positive). Does Negative predictive value (TN/TN+FN) works for this situation?
classification predictive-modeling performance
classification predictive-modeling performance
asked Jul 31 '18 at 1:24
Amad ArianAmad Arian
31
asked Jul 31 '18 at 1:24
Amad ArianAmad Arian
31
asked Jul 31 '18 at 1:24
Amad ArianAmad Arian
31
asked Jul 31 '18 at 1:24
Amad ArianAmad Arian
31
asked Jul 31 '18 at 1:24
Amad ArianAmad Arian
31
31
add a comment |
add a comment |
2 Answers
2
active
oldest
votes
$begingroup$
- Minimizing false negatives is definitely a good strategy.
- You can also generalize to using weighted f-measure. It allows you to give tunable weightage.
answered Jul 31 '18 at 3:20
hssayhssay
1,0931311
$endgroup$
add a comment |
$begingroup$
This could be the concept you are looking for:
Cost curves.
https://link.springer.com/content/pdf/10.1007/s10994-006-8199-5.pdf
The concept is ROC curve but with cost associated for every type of cost.
For example: False negatives have a cost of 100. False positives have a cost of 5. Using cost-associated ROC curves will help you punishing much more FN than FP or viceversa.
answered 1 hour ago
Juan Esteban de la CalleJuan Esteban de la Calle
12
New contributor
Juan Esteban de la Calle 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 |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
- Minimizing false negatives is definitely a good strategy.
- You can also generalize to using weighted f-measure. It allows you to give tunable weightage.
answered Jul 31 '18 at 3:20
hssayhssay
1,0931311
$endgroup$
add a comment |
$begingroup$
- Minimizing false negatives is definitely a good strategy.
- You can also generalize to using weighted f-measure. It allows you to give tunable weightage.
answered Jul 31 '18 at 3:20
hssayhssay
1,0931311
$endgroup$
add a comment |
$begingroup$
- Minimizing false negatives is definitely a good strategy.
- You can also generalize to using weighted f-measure. It allows you to give tunable weightage.
answered Jul 31 '18 at 3:20
hssayhssay
1,0931311
$endgroup$
- Minimizing false negatives is definitely a good strategy.
- You can also generalize to using weighted f-measure. It allows you to give tunable weightage.
answered Jul 31 '18 at 3:20
hssayhssay
1,0931311
answered Jul 31 '18 at 3:20
hssayhssay
1,0931311
answered Jul 31 '18 at 3:20
hssayhssay
1,0931311
answered Jul 31 '18 at 3:20
hssayhssay
1,0931311
1,0931311
add a comment |
add a comment |
$begingroup$
This could be the concept you are looking for:
Cost curves.
https://link.springer.com/content/pdf/10.1007/s10994-006-8199-5.pdf
The concept is ROC curve but with cost associated for every type of cost.
For example: False negatives have a cost of 100. False positives have a cost of 5. Using cost-associated ROC curves will help you punishing much more FN than FP or viceversa.
answered 1 hour ago
Juan Esteban de la CalleJuan Esteban de la Calle
12
New contributor
Juan Esteban de la Calle 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 |
$begingroup$
This could be the concept you are looking for:
Cost curves.
https://link.springer.com/content/pdf/10.1007/s10994-006-8199-5.pdf
The concept is ROC curve but with cost associated for every type of cost.
For example: False negatives have a cost of 100. False positives have a cost of 5. Using cost-associated ROC curves will help you punishing much more FN than FP or viceversa.
answered 1 hour ago
Juan Esteban de la CalleJuan Esteban de la Calle
12
New contributor
Juan Esteban de la Calle 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 |
$begingroup$
This could be the concept you are looking for:
Cost curves.
https://link.springer.com/content/pdf/10.1007/s10994-006-8199-5.pdf
The concept is ROC curve but with cost associated for every type of cost.
For example: False negatives have a cost of 100. False positives have a cost of 5. Using cost-associated ROC curves will help you punishing much more FN than FP or viceversa.
answered 1 hour ago
Juan Esteban de la CalleJuan Esteban de la Calle
12
New contributor
Juan Esteban de la Calle is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
This could be the concept you are looking for:
Cost curves.
https://link.springer.com/content/pdf/10.1007/s10994-006-8199-5.pdf
The concept is ROC curve but with cost associated for every type of cost.
For example: False negatives have a cost of 100. False positives have a cost of 5. Using cost-associated ROC curves will help you punishing much more FN than FP or viceversa.
answered 1 hour ago
Juan Esteban de la CalleJuan Esteban de la Calle
12
New contributor
Juan Esteban de la Calle is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
answered 1 hour ago
Juan Esteban de la CalleJuan Esteban de la Calle
12
New contributor
Juan Esteban de la Calle is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
answered 1 hour ago
Juan Esteban de la CalleJuan Esteban de la Calle
12
answered 1 hour ago
Juan Esteban de la CalleJuan Esteban de la Calle
12
12
New contributor
Juan Esteban de la Calle is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Juan Esteban de la Calle is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Juan Esteban de la Calle 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 |
add a comment |
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