\babel@toc {english}{}\relax 
\contentsline {section}{\numberline {1}Introduction}{1}{section.1}%
\contentsline {section}{\numberline {2}Data analysis}{1}{section.2}%
\contentsline {subsection}{\numberline {2.1}Dataset}{1}{subsection.2.1}%
\contentsline {subsection}{\numberline {2.2}Data cleaning and feature engineering}{1}{subsection.2.2}%
\contentsline {subsection}{\numberline {2.3}Handling missing values}{2}{subsection.2.3}%
\contentsline {subsection}{\numberline {2.4}Training, validation and test sets}{2}{subsection.2.4}%
\contentsline {section}{\numberline {3}Model selection}{2}{section.3}%
\contentsline {section}{\numberline {4}Model Training and Hyperparameter Tuning}{2}{section.4}%
\contentsline {subsection}{\numberline {4.1}Models and methods used}{2}{subsection.4.1}%
\contentsline {subsection}{\numberline {4.2}Validation Results}{2}{subsection.4.2}%
\contentsline {subsection}{\numberline {4.3}Caveats and restrictions}{2}{subsection.4.3}%
\contentsline {section}{\numberline {5}Model Evaluations}{3}{section.5}%
\contentsline {subsection}{\numberline {5.1}Analyzing the Confusion Matricies}{3}{subsection.5.1}%
\contentsline {subsection}{\numberline {5.2}Analyzing Weighted Performance Metrics}{3}{subsection.5.2}%
\contentsline {subsection}{\numberline {5.3}Analyzing the Performance}{4}{subsection.5.3}%
\contentsline {subsection}{\numberline {5.4}Overfitting and Underfitting}{4}{subsection.5.4}%
\contentsline {subsection}{\numberline {5.5}Feature Importance}{4}{subsection.5.5}%
\contentsline {section}{\numberline {6}Summary}{4}{section.6}%
\contentsfinish