AI improvement
We kept working on the machine learning and after trying different algorithms we obtained a maximum accuracy of 80 % with random forest.
Here are the different algorithms we tried:
- Knearest neighbour (Accuracy: 71.11 %)
- Centroids (Accuracy: 38.27)
- Gaussian Naïve Bayes (Accuracy: 66.30 %)
- Linear Discriminant Analisis (Accuracy: 58.89 %)
- Decision trees (Accuracy: 70.12 %)
- Bagging with Knearest neighbour (Accuracy: 72.22 %) - Random Forest (Accuracy: 77.40 %)
- AdaBoost (Accuracy: 8.89 %)
- Gradient Boosting (Accuracy: 70.74 %)
- Support Vector Machines (Accuracy: 74.69 %)
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