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Orion Stark
bb6f6deaa4
|
6 years ago | |
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datasets/Glass Dataset | 6 years ago | |
glass-classification | 6 years ago | |
image-classification | 6 years ago | |
iris-classification | 6 years ago | |
utils | 6 years ago | |
LICENSE | 6 years ago | |
README.md | 6 years ago |
README.md
Machine Learning Sample
Some machine learnings example for my activity on freeday XD Built in with Scikit-learn library
6 Algorithms Used on This Project
- KNN
- Logistic Linear
- Decission Tree Classifier
- SVM
- Gaussian NB
- Linear Discrimination Analysis
2 Evaluate Models For The Datasets
- K Fold CV ( K Fold Cross Validation )
- LOOCV ( Leave One Out Cross Validation )
How it choose it's own best algorithm
There are 2 evaluate models in this project. Each models produce an array that filled up with 6 models and it's accuracy score. So it'll look for the best one and pick it up as the algorithm to use.
Next Step?
- Glass Classification Section
- Image Classification with default datasets from scikit-learn itself
- Maybe fixed the method of choosing the best algorithm, because sometimes there are 2 algorithms that had same score. So it may use both of them and show it's result.
Author
Robby Muhammad Nst
OrionStark