All Questions
Tagged with sensitivity-specificity f1
7 questions
1
vote
1
answer
23
views
Is there an equivalent for Yates' correction for a confusion matrix-derived metrics?
Given the following table of predictions vs. actual states:
...
- 1,291
2
votes
1
answer
118
views
Binary classification metrics - Combining sensitivity and specificity?
The harmonic mean between precision and recall (F1 score) is a common metric to evaluate binary classification. It is useful because it strikes a balance between precision (FP) and recall (FN).
For ...
- 1,257
1
vote
4
answers
239
views
Why don't we use the harmonic mean of sensitivity and specificity?
There is this question on the F-1 score, asking why we compute the harmonic mean of precision and recall rather than its arithmetic mean. There were good arguments in the answers in favor of the ...
- 211
8
votes
2
answers
475
views
Calculating the Brier or log score from the confusion matrix, or from accuracy, sensitivity, specificity, F1 score etc
Suppose I have a confusion matrix, or alternatively any one or more of accuracy, sensitivity, specificity, recall, F1 score or friends for a binary classification problem.
How can I calculate the ...
- 131k
22
votes
2
answers
3k
views
Academic reference on the drawbacks of accuracy, F1 score, sensitivity and/or specificity
Accuracy, as a KPI for assessing binary classification models, has major drawbacks: Why is accuracy not the best measure for assessing classification models?. The exact same issues also plague the F1 ...
- 131k
2
votes
2
answers
246
views
Classifier can predict time series 1 day in advance, but not more. Why?
To ask the question more precisely: when doing Time Series classification, I observe the classifier prediction is good if test data directly follows (in chronology) the train data. But when the train ...
- 81
0
votes
1
answer
191
views
PPV vs Sensitivity, they look the same!
I am looking at the equation PPV and Sensitivity
and I got this
PPV = TP / (TF+FN)
and
Sensitivity = TP / (TF+FN)
Which ...
- 311