Typo Decisison tree in classification

Module 5. Decision tree models Intuitions on tree-based models
#1

Hi,
I think there are some typos in the notebook:

  • The partitions found by the algorithm separates the data along the axis “Culmen Length”, discarding the feature “Culmen Depth” -> isn’t it the contrary?

  • We see that the split was done the culmen length feature. The original dataset was subdivided into 2 sets based on the culmen length -> again isn’t it culmen depth instead?

  • Since that during the training -> Since during the training?

  • It is also important to note that the culmen depth -> length?

#2

You are right for all these remarks. I made the corrections upstream.

#3