https://github.com/giacomolat/classification-of-exotic-fruits
The goal of this project is to develop an automatic classification system for exotic fruits based on numerical features using the K-nearest neighbors (K-NN) algorithm
https://github.com/giacomolat/classification-of-exotic-fruits
anomalies-detection auc-roc-curve confusion-matrix gridsearchcv hold-out-cross-validation knn knn-classification machine-learning matplotlib matplotlib-pyplot multiclass-classification normalization-techniques numpy pandas python scikit-learn seaborn stratified-cross-validation
Last synced: 3 months ago
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The goal of this project is to develop an automatic classification system for exotic fruits based on numerical features using the K-nearest neighbors (K-NN) algorithm
- Host: GitHub
- URL: https://github.com/giacomolat/classification-of-exotic-fruits
- Owner: giacomolat
- License: gpl-3.0
- Created: 2025-08-04T22:08:07.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2025-08-05T01:20:53.000Z (4 months ago)
- Last Synced: 2025-08-12T12:06:52.979Z (4 months ago)
- Topics: anomalies-detection, auc-roc-curve, confusion-matrix, gridsearchcv, hold-out-cross-validation, knn, knn-classification, machine-learning, matplotlib, matplotlib-pyplot, multiclass-classification, normalization-techniques, numpy, pandas, python, scikit-learn, seaborn, stratified-cross-validation
- Language: Jupyter Notebook
- Homepage:
- Size: 307 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0