---
title: "Interpretable kNN (ikNN)"
url: https://daily.dev/posts/interpretable-knn-iknn--f7err1guw
source_url: https://towardsdatascience.com/interpretable-knn-iknn-33d38402b8fc
type: article
source: "Medium"
published: 2024-05-15T03:30:01.340Z
updated: 2024-05-15T03:29:59.674Z
tags: ["machine-learning", "deep-learning", "classification"]
reading_time: 10
upvotes: 3
comments: 0
language: en
---

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# Interpretable kNN (ikNN)

**[Medium](https://daily.dev/sources/medium_js)** · 10 min read · 3 upvotes · 0 comments

## Summary

Interpretable kNN (ikNN) is an interpretable classifier that provides explanations for its predictions. It uses an ensemble of 2d kNN models to increase interpretability while maintaining accuracy. The ikNN model weighs the influence of input features by considering their predictive power and consistency.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://towardsdatascience.com/interpretable-knn-iknn-33d38402b8fc>

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---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#deep-learning](https://daily.dev/tags/deep-learning), [#classification](https://daily.dev/tags/classification)

[View this post on daily.dev](https://daily.dev/posts/interpretable-knn-iknn--f7err1guw)
