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Interpret the Model (Feature Impacts on Target (Four relationships for…
Interpret the Model
Feature Impacts on Target
Four relationships for exploring outcomes
The overall impact of a feature without impact of other features
treats feature as a standalone target
overall impact of the feature adjusted for impact of other features
select feature impact
this will examine model performance relative to all the features
then the most important feature is scored 100% and all others are scored relative to that
data robot will put top features into a new feature list
then you can run a new model
the partial impact of a feature
go to compute model xray
shows list of features ranked by their influence on the target
look at graph display
DB then averages prediction probabilities
partial dependance plot shows marginal effects of a value
directional impact of a feature
whether the presence of a value helps the model in predicting
click on insights then variable effects to see this
examine log loss scores
consider looking at the leaderboard for directional information
The Power of Language
AutoML makes it easy to train subject matter experts
information displayed in a word cloud represents words with the highest coefficients
select only unique values
Hotspots
shows the most relevant combos of features and their effect on the target
deeper the color tone the more impact the feature has
click hot/cold column header to select only red or blue
this panel is visually pleasing but sometimes to complex to present
Reason Codes
understand data at a granular individual level
reason codes refer to validation data
left and right of threshold show specification of the probability cutoffs
fewer than three cases are shown in the preview area
powerful tool for supplementing decisions
be careful because this is slower than computing predictions because of the complexity