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Based on server logs.\n\n### Evaluation\n#### Evaluation metric for this competition is Accuracy.\n\n### Solution:\n\n### Exploratory Data Analysis\n#### The basic exploratory data analysis of the data,\n* Target distribution\n* Categorical column level count\n#### The above analysis had done by using,\n* pandas \n* numpy\n* seaborn\n* matplotlib\n\n### Model\n#### Created catboost classifier model and tuned hyperparameters by using optuna framework. The model was evaluated by Accuracy.\n#### Packages Used,\n      * Sklearn\n      * Pandas\n      * Numpy\n      * Matplotlib\n      * catboost\n      * optuna\n      * shap\n      \n#### [For more detailed information about the model.](https://github.com/hariprasath-v/DOCEREE_machine-learning-hackathon_round_1/blob/main/Approach_Doceree_Machine_Learning_Hackathon.pdf)     \n\n### Catboost Model Feature Importances\n![Alt text](https://github.com/hariprasath-v/DOCEREE_machine-learning-hackathon_round_1/blob/main/Model%20interpretation%20visualization/Catboost%20Model%20Top%20Feature%20Importances.png)\n\n### SHAP Catboost Model Feature Importances\n![Alt text](https://github.com/hariprasath-v/DOCEREE_machine-learning-hackathon_round_1/blob/main/Model%20interpretation%20visualization/Catboost%20SHAP%20feature%20importance%E2%80%99s.png)\n\n### Catboost Model train and validation accuracy\n![Alt text](https://github.com/hariprasath-v/DOCEREE_machine-learning-hackathon_round_1/blob/main/Model%20interpretation%20visualization/Overall%20Train%20and%20Validation%20Accuracy.png)\n\n### Catboost Model validation data confusion matrix\n![Alt text](https://github.com/hariprasath-v/DOCEREE_machine-learning-hackathon_round_1/blob/main/Model%20interpretation%20visualization/Validation%20data%20Confusion%20matrix.png)\n\n### File information\n\ndoceree-machine-learning-hackathon-1-eda.ipynb[![Open in Kaggle](https://img.shields.io/static/v1?label=\u0026message=Open%20in%20Kaggle\u0026labelColor=grey\u0026color=blue\u0026logo=kaggle)](https://www.kaggle.com/code/hari141v/doceree-machine-learning-hackathon-1-eda/notebook)\n \ndoceree-machine-learning-hackathon-1-model.ipynb[![Open in Kaggle](https://img.shields.io/static/v1?label=\u0026message=Open%20in%20Kaggle\u0026labelColor=grey\u0026color=blue\u0026logo=kaggle)](https://www.kaggle.com/hari141v/doceree-machine-learning-hackathon-1-model)\n \n \n   \n        \n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhariprasath-v%2Fdoceree_machine-learning-hackathon_round_1","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhariprasath-v%2Fdoceree_machine-learning-hackathon_round_1","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhariprasath-v%2Fdoceree_machine-learning-hackathon_round_1/lists"}