[DOCS] Add total feature importance to classification example #1382
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
lcawl
changed the title
valeriy42
approved these changes
Sep 30, 2020
Comment on lines
+407
to
+414
| If you chose to calculate {feat-imp}, the destination index also contains | ||
| `ml.feature_importance` objects. Every field that is included in the | ||
| {classanalysis} (known as a _feature_ of the data point) is assigned a {feat-imp} | ||
| value. This value has both a magnitude and a direction (positive or negative), | ||
| which indicates how each field affects a particular prediction. Only the most | ||
| significant values (in this case, the top 10) are stored in the index. However, | ||
| the trained model metadata also contains the average magnitude of the {feat-imp} | ||
| values for each field across all the training data. You can view this |
lcawl
added a commit
to lcawl/stack-docs
that referenced
this pull request
Sep 30, 2020
lcawl
added a commit
that referenced
this pull request
Sep 30, 2020
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Related to elastic/kibana#78238 and elastic/ml-cpp#1387 and #1378 and #1379
This PR adds total feature importance values to the classification example (https://www.elastic.co/guide/en/machine-learning/master/flightdata-classification.html). It also adds an example of a classification job with more than two classes in the feature importance overview (https://www.elastic.co/guide/en/machine-learning/master/ml-feature-importance.html).
It also refreshes some screenshots in the example that were out-dated.
Preview