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machine-learningdata-ai

plot-catboost-feature-importance-with-custom-styling

Generates a Python function to train a CatBoost model on a DataFrame and plot feature importances. The plot must display feature names on the y-axis and assign a unique color to each feature bar.

View Sourcemachine-learning
ECNU-ICALK
maintainer
ECNU-ICALK
Updated 3/13/2026
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304
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34
quick start

Installation and usage

Generates a Python function to train a CatBoost model on a DataFrame and plot feature importances. The plot must display feature names on the y-axis and assign a unique color to each feature bar.

Installation
$ install --globalskills.sh
Usage

Once installed, you can use this skill by running the following command in your terminal:

skills use plot-catboost-feature-importance-with-custom-styling