The puzzle I can't interpret the values in the leaves of a CatBoostRegressor tree. The fitted model correctly captures the logic of the dataset, but the scale
webautomation
long-click
glfw
dynamics-ax-2009
postman-pre-request-script
content-security-policy
instant-messaging
distributed-training
nslock
acts-as-audited
mqttnet
sap-analytics-cloud
vmrun
contentobserver
emit
terragrunt
minimum-spanning-tree
localizable.strings
gitlab-8
sp-blitz
windows-forms-designer
ionic-webview
math
android-task
qt-creator
font-style
visualworks
stochastic-process
nsdragginginfo
aws-kinesis
