https://github.com/byte7/mnist-classification
MNIST classification using scikit-learn
https://github.com/byte7/mnist-classification
mnist mnist-classification mnist-classifier mnist-digits
Last synced: 10 months ago
JSON representation
MNIST classification using scikit-learn
- Host: GitHub
- URL: https://github.com/byte7/mnist-classification
- Owner: Byte7
- License: mit
- Created: 2017-12-03T15:55:02.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2018-01-01T12:09:34.000Z (about 8 years ago)
- Last Synced: 2025-01-31T01:16:24.278Z (12 months ago)
- Topics: mnist, mnist-classification, mnist-classifier, mnist-digits
- Language: Jupyter Notebook
- Size: 21.5 KB
- Stars: 0
- Watchers: 1
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# MNIST-Classification
MNIST classification using scikit-learn
Classifiers used are -
1. SGDClassifier(for binary classification) - 98% accuracy
2. RandomForestClassifier - 95% accuracy
3. KNeighborsClassifier - 97% accuracy
### Improvements
1. Over 97% accuracy can be achieved using KNeighborsClassifier with good hyperparameters values(grid search on weights and n_neighbors hyperparameters)(takes long time)
2. CNN can be used to get over 99%