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https://github.com/ksharma67/partial-dependent-plots-and-individual-conditional-expectation-plots
Individual Conditional Expectation (ICE) plots display one line per instance that shows how the instance's prediction changes when a feature changes. The Partial Dependence Plot (PDP) for the average effect of a feature is a global method because it does not focus on specific instances, but on an overall average.
https://github.com/ksharma67/partial-dependent-plots-and-individual-conditional-expectation-plots
eda gradient-boosting individual-conditional-expectation linear-regression matplotlib numpy pandas partial-dependence-plot python seaborn sklearn xgboost
Last synced: 11 days ago
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Individual Conditional Expectation (ICE) plots display one line per instance that shows how the instance's prediction changes when a feature changes. The Partial Dependence Plot (PDP) for the average effect of a feature is a global method because it does not focus on specific instances, but on an overall average.
- Host: GitHub
- URL: https://github.com/ksharma67/partial-dependent-plots-and-individual-conditional-expectation-plots
- Owner: ksharma67
- Created: 2022-11-08T16:18:25.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2022-11-18T17:03:49.000Z (almost 2 years ago)
- Last Synced: 2023-03-08T12:19:51.431Z (over 1 year ago)
- Topics: eda, gradient-boosting, individual-conditional-expectation, linear-regression, matplotlib, numpy, pandas, partial-dependence-plot, python, seaborn, sklearn, xgboost
- Language: Jupyter Notebook
- Homepage:
- Size: 554 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0