--- title: Iris Flower Classification: What 100% Accuracy Actually... description: A walkthrough of the classic Iris flower classification problem that goes beyond surface-level accuracy scores. Using Logistic Regression, Random Forest, and... canonical: https://daily.dev/posts/iris-flower-classification-what-100-accuracy-actually-hides-ldkmxkbgc twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Iris Flower Classification: What 100% Accuracy Actually Hides | daily.dev og:description: A walkthrough of the classic Iris flower classification problem that goes beyond surface-level accuracy scores. Using Logistic Regression, Random Forest, and... og:url: https://daily.dev/posts/iris-flower-classification-what-100-accuracy-actually-hides-ldkmxkbgc og:image: https://api.daily.dev/og/posts/ldkmxkBgc.png og:image:alt: Iris Flower Classification: What 100% Accuracy Actually Hides og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Iris Flower Classification: What 100% Accuracy Actually Hides **[Medium](https://daily.dev/sources/medium_js)** · 5 min read · 0 upvotes · 0 comments ## Summary A walkthrough of the classic Iris flower classification problem that goes beyond surface-level accuracy scores. Using Logistic Regression, Random Forest, and SVM with scikit-learn, the author demonstrates why a 100% accuracy result on a single train/test split is misleading. Cross-validation reveals more honest scores (97.33% and 96.67%), and a confusion matrix plus a deliberate borderline test case expose where the model actually fails — the versicolor/virginica overlap zone. The key takeaway: EDA visualizations predict model failure points before any training happens, and simpler models are preferable when performance is equivalent. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Visual Pollen Classification Using CNNs and Vision Transformers](https://daily.dev/posts/visual-pollen-classification-using-cnns-and-vision-transformers-oftfxanpl) · Towards Data Science · 1 upvotes · 0 comments - [Eggsperimenting](https://daily.dev/posts/eggsperimenting-m1zg0h3j3) · Simple Thread · 0 upvotes · 0 comments - [The Machine Learning “Advent Calendar” Day 7: Decision Tree Classifier](https://daily.dev/posts/the-machine-learning-advent-calendar-day-7-decision-tree-classifier-7uqnl1wup) · Towards Data Science · 1 upvotes · 0 comments - [My Data Science & AI/ML Learning Journey — Part 10](https://daily.dev/posts/my-data-science-ai-ml-learning-journey-part-10-jxbsjhu2p) · Medium · 0 upvotes · 0 comments --- Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#python](https://daily.dev/tags/python), [#classification](https://daily.dev/tags/classification), [#scikit](https://daily.dev/tags/scikit) [View this post on daily.dev](https://daily.dev/posts/iris-flower-classification-what-100-accuracy-actually-hides-ldkmxkbgc) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Iris Flower Classification: What 100% Accuracy Actually Hides","url":"https://daily.dev/posts/iris-flower-classification-what-100-accuracy-actually-hides-ldkmxkbgc","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/iris-flower-classification-what-100-accuracy-actually-hides-ldkmxkbgc"},"datePublished":"2026-07-21T07:16:36.551Z","dateModified":"2026-07-21T07:18:47.501Z","description":"A walkthrough of the classic Iris flower classification problem that goes beyond surface-level accuracy scores. 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