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<< /S /GoTo /D (section.1) >>
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(INTRODUCTION)
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<< /S /GoTo /D (section.2) >>
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(RESEARCH METHOD)
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<< /S /GoTo /D (subsection.2.1) >>
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(Data Source)
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<< /S /GoTo /D (subsection.2.2) >>
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(Data Cleaning)
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<< /S /GoTo /D (subsection.2.3) >>
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(Label Encoding)
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<< /S /GoTo /D (subsection.2.4) >>
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24 0 obj
(Data Normalization)
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<< /S /GoTo /D (subsection.2.5) >>
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(Feature Selection)
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<< /S /GoTo /D (subsection.2.6) >>
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(Resampling)
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<< /S /GoTo /D (subsection.2.7) >>
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(Data Splitting)
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<< /S /GoTo /D (subsection.2.8) >>
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(Hyper Parameter Tuning GridSearch \046 RandomSearch)
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<< /S /GoTo /D (subsection.2.9) >>
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(Categorical Boosting)
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<< /S /GoTo /D (subsection.2.10) >>
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(Light Gradient Boosting)
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<< /S /GoTo /D (subsection.2.11) >>
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(Histogram Gradient Boosting)
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<< /S /GoTo /D (subsection.2.12) >>
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(Extreme Gradient Boosting)
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<< /S /GoTo /D (subsection.2.13) >>
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(Evaluation)
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<< /S /GoTo /D (section.3) >>
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(RESULT AND ANALYSIS)
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<< /S /GoTo /D (subsection.3.1) >>
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(Comparison of Confusion Matrix)
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<< /S /GoTo /D (subsection.3.2) >>
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(Comparison of Evaluation Metrics and Time Execution)
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<< /S /GoTo /D (subsection.3.3) >>
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(Comparison with Other Methods in Previous Research)
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<< /S /GoTo /D (section.4) >>
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(CONCLUSION)
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<< /S /GoTo /D (section.5) >>
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(ACKNOWLEDGEMENTS)
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<< /S /GoTo /D (section.6) >>
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(DECLARATIONS)
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<< /S /GoTo /D [90 0 R /Fit] >>
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