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1 vote

When are Transformers better than LSTMs in time-series tasks such as classification?

Both the architecture have some use cases based on their architecture. Transformer Transformers are good when there are long-range dependencies, in those cases they outperform the LSTMs. Main key ...
Hiren Namera's user avatar
0 votes

Is it possible that Precision and Recall increase together?

Yes, just look at the fomulas: $$ \begin{align} Prec &= \frac{TP}{TP+FP}\\ Recall &= \frac{TP}{TP+FN}\\ \end{align} $$ And the fixed "constraints": $$ \begin{align} \text{Actual ...
Tran Khanh's user avatar
1 vote

Is it possible that Precision and Recall increase together?

PR curves need not be monotonic. Suppose some model, such as a logistic regression, makes predictions p below and that the true outcomes are ...
Dave's user avatar
  • 548
2 votes

Is it possible that Precision and Recall increase together?

Often references to the precision-recall trade-off are discussing setting the classification threshold for a probabilistic classifier. A probabilistic classifier is one that returns a probability of ...
Lynn's user avatar
  • 131
3 votes

is there a mathematical explanation of precision and recall tradeoff?

The tradeoff between precision and recall occurs because increasing the threshold for classification will result in fewer false positives (increasing precision) but also more false negatives (...
lkahtz's user avatar
  • 131

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