WEEK 5-Cities and Restaurants

Team Members : Ahmet Oruç, Sergen Topçu, Denizkaan Aracı

You can see the average results of the following three machine learning algorithms on the table:

As you see in the table above, the average results we get with 3 different algorithms are different from each other. We can say that the success rates we have received are very close to each other for the 3 algorithms. You can see that the results we obtained from the Neural Network algorithm are the most successful. We can observe that Decision Tree algorithm yields slightly better results than Naive Bayes algorithm. These observations are made according to the data we use. At the same time, as the number of people making reviews increases, we can say that the results are more successful.

The ways to increase the accuracy rates are as follows:
1. The dirty parts of the data we use can be cleaned.
2. Program can focus on people who have done more reviews.
3. Different results can be obtained by different machine learning algorithms.
4. The number of train data can be increased.