K-nearest-neighbor xhpmoonx · COMPLETED
The script uses K-nearest neighbor (KNN) classification to predict the class of a rice sample. It reads data from an Excel file, normalizes the features, appends user-provided sample data, and calculates Euclidean distances to find the K-nearest neighbors. The most common class among these neighbors is assigned to the new sample.
github.com/xhpmoonx/K-nearest-neighbor · ★ 5 · Forks 0 · Size 346 KB
SUMMARY
Technologies 4
Scored 4
Observed 4
Practices 6
Evidence 4
Skips 0
COVERAGE
Analyzed 3 files · 4 commits · 0 API calls
TECHNOLOGIES & DEPTH
Markdown LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
1 files · PRODUCTION
NumPy LIBRARY Depth 54
1 files · PRODUCTION
pandas LIBRARY Depth 54
1 files · PRODUCTION
PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · absentformatting · absent
ACTIVITY & OWNERSHIP
First commit 2024-08-22
Last commit 2025-04-23
Active months 2
Commits 4