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Machine Learning Project for AI Class

In earthquake.pdf you can see my approach to this problem and the algorithms I used. You can review the presentation (huseyin_pekkan_201401016_yap470_project.docx) that I prepared for this problem in the AI Course. The presentation is in Turkish.

English description is available below

Data Distribution

Numerical Features

Binary Features

Categorical Features

Correlations

Covariance Matrix

k-means of geo_level_id_1, go_level_id_2 and geo_level_id_3

k-means of geo_level_id_1, go_level_id_2 and age

k-means of geo_level_id_1, go_level_id_2 and one of binary feature

Best KNN Result

Best Decision Tree Classifier Result

Best Random Forrest Classifier Result

Best AdaBoost Classifier Result

Best Gradient Boosting Classifier Result

Best MLP (5x5) Result

Best Mlp (10x10) Result

Best XGBoost Classifier Result

Best Model's predicts on test data

All Model's Comparision

10 Most Important Features that Random Forrest's Use