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I have grouped my data into say 3 clusters. So, each cluster has a group of similar users who bought similar items. Each cluster has a pattern. Now, not every user follows this pattern exactly as there are some errors in the model which can not be 100 percent accurate.

I have to create a report in python, which contains the information for each user like

- userid
- How many items correctly matched the cluster pattern
- How many items did not match the cluster pattern due to error.

I have followed the basic approach with the below pseudo code:

foreach cluster
  get cluster pattern
  foreach user under this cluster
     compare if the itemid of user and itemid in the cluster are same
     save such items in a list
     or
     save in another list

Now since this is a huge result, I need to create a pdf of results in python and store it. How can I do this? Are there easy and alternate ways to do this ?

P H
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1 Answers1

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There is Confusion matrix in sklearn module, actually I don`t know can you get from it any report, but you can visualize it. Here is conversation on this topic, and here is official documentation, hope it will help you.

Petro Franchuk
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  • I checked this. But, I want to represent something very fundamental so that it is easy for a non-technical person to understand. Thanks for the reply, appreciate your help. – P H Feb 12 '20 at 14:56