How do I run a docker pulled machine learning image (smizy/scikit-learn) running jupyter notebook

Steps followed:

1. Create a Docker linode

2. SSH into it: ssh root@<ip_address>

3. Pull the image from docker hub: docker pull smizy/scikit-learn

4. Run the container: docker run -it --rm smizy/scikit-learn

5. Output shows url to paste into browser and open jupyter notebook:

   To access the notebook, open this file in a browser:
   file:///home/jupyter/.local/share/jupyter/runtime/nbserver-9-open.html
   Or copy and paste one of these URLs:
   http://ddd6edc96a7c:8888/?token=967d7d9cd650fb78819922c966a4b0ad72573b398cd2a852
   or http://127.0.0.1:8888/?token=967d7d9cd650fb78819922c966a4b0ad72573b398cd2a852

6. I command/ctrl click on either of the URLS, but get a "site can't be reached error."

I also tried the following as an alternative to step 2.

1. ssh -L 8000:localhost:8889 root@<ip_address>
2. run container
3. type localhost:8000 into any browser
4. "Site can't be reached error"

I notice in my terminal this:
channel 3: open failed: connect failed: Connection refused
channel 4: open failed: connect failed: Connection refused
channel 3: open failed: connect failed: Connection refused
channel 3: open failed: connect failed: Connection refused
channel 4: open failed: connect failed: Connection refused
channel 3: open failed: connect failed: Connection refused