diff --git a/dev/infra/Dockerfile b/dev/infra/Dockerfile
index ccf0c932b0ef..2a70bd3f98f4 100644
--- a/dev/infra/Dockerfile
+++ b/dev/infra/Dockerfile
@@ -17,9 +17,9 @@
 
 # Image for building and testing Spark branches. Based on Ubuntu 20.04.
 # See also in https://hub.docker.com/_/ubuntu
-FROM ubuntu:focal-20220801
+FROM ubuntu:focal-20220922
 
-ENV FULL_REFRESH_DATE 20220706
+ENV FULL_REFRESH_DATE 20221019
 
 ENV DEBIAN_FRONTEND noninteractive
 ENV DEBCONF_NONINTERACTIVE_SEEN true
diff --git a/python/pyspark/pandas/mlflow.py b/python/pyspark/pandas/mlflow.py
index 094215743e2b..469349b37eee 100644
--- a/python/pyspark/pandas/mlflow.py
+++ b/python/pyspark/pandas/mlflow.py
@@ -159,7 +159,7 @@ def load_model(
     ...     lr = LinearRegression()
     ...     lr.fit(train_x, train_y)
     ...     mlflow.sklearn.log_model(lr, "model")
-    LinearRegression(...)
+    LinearRegression...
 
     Now that our model is logged using MLflow, we load it back and apply it on a pandas-on-Spark
     dataframe: