From dc5b009ee252946f95d46b83c2cef36d252b7b6a Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?J=C3=A9r=C3=A9mie=20du=20Boisberranger?= <34657725+jeremiedbb@users.noreply.github.com> Date: Thu, 19 May 2022 11:38:57 +0200 Subject: [PATCH] DOC additional fixes what's new 1.1.1 (#23417) --- doc/whats_new/v1.1.rst | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/doc/whats_new/v1.1.rst b/doc/whats_new/v1.1.rst index 5ba8d78657d0f..ee0b80d743090 100644 --- a/doc/whats_new/v1.1.rst +++ b/doc/whats_new/v1.1.rst @@ -16,7 +16,7 @@ Changelog ....................... - |Fix| Avoid timeouts in :func:`datasets.fetch_openml` by not passing a - `timeout` argument, :pr:`23358` by `Loïc Estève `. + `timeout` argument, :pr:`23358` by :user:`Loïc Estève `. :mod:`sklearn.decomposition` ............................ @@ -34,7 +34,7 @@ Changelog :mod:`sklearn.metrics` ...................... -- |Fix| Fixes `metrics.precision_recall_curve` to compute precision-recall at 100% +- |Fix| Fixes :func:`metrics.precision_recall_curve` to compute precision-recall at 100% recall. The Precision-Recall curve now displays the last point corresponding to a classifier that always predicts the positive class: recall=100% and precision=class balance.