[ML] Incorrect feature importance visualization for classification #146122
Labels
bug
Fixes for quality problems that affect the customer experience
Feature:Data Frame Analytics
ML data frame analytics features
:ml
Team:ML
Team label for ML (also use :ml)
v8.7.0
Kibana version:
Current main branch. (8.7)
Elasticsearch version:
Current main branch (8.7)
Describe the bug:
When I change the class name in the drop-down menu, the feature importance graph is incorrectly recomputed:
Default class:
Changed class:
The DestCountry feature cannot change the probability to a value over 1.0.
Steps to reproduce:
I used the
kbana_sample_data_flights
dataset:The text was updated successfully, but these errors were encountered: