New answers tagged classification
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 ...
- 471
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 ...
- 157
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 ...
- 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 ...
- 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 (...
- 131
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