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      <title>Personality Prediction Project by Luca Vlad</title>
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      <pubDate>2022-10-14 09:16:27 UTC</pubDate>
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         <title>Personality Prediction Project</title>
         <author>lucavlad50</author>
         <link>https://padlet.com/lucavlad50/p7rdku49m6g8grzc/wish/2340111507</link>
         <description><![CDATA[<div>One of the greatest applications of machine learning is to <strong>classify individuals based on their personality traits</strong>. Each person on this planet is unique and carries a unique personality. The availability of a high-dimensional and large amount of data has paved the way for increasing marketing campaigns' effectiveness by targeting specific people. Such personality-based communications are highly effective in increasing the popularity and attractiveness of products and services. It <strong>increased</strong> <strong>usage, customer satisfaction, and broader acceptance</strong> among users.<br><br></div>]]></description>
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         <pubDate>2022-10-14 09:17:24 UTC</pubDate>
         <guid>https://padlet.com/lucavlad50/p7rdku49m6g8grzc/wish/2340111507</guid>
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         <title>Dataset</title>
         <author>lucavlad50</author>
         <link>https://padlet.com/lucavlad50/p7rdku49m6g8grzc/wish/2340112322</link>
         <description><![CDATA[<div>https://www.kaggle.com/datasets/datasnaek/mbti-type</div>]]></description>
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         <pubDate>2022-10-14 09:18:10 UTC</pubDate>
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         <title>Link to colab</title>
         <author>lucavlad50</author>
         <link>https://padlet.com/lucavlad50/p7rdku49m6g8grzc/wish/2440857953</link>
         <description><![CDATA[<div>https://colab.research.google.com/drive/121iRLZL8dUtg-tX26hQKBI8DzsomE-w4?usp=sharing</div>]]></description>
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         <pubDate>2023-01-11 14:05:49 UTC</pubDate>
         <guid>https://padlet.com/lucavlad50/p7rdku49m6g8grzc/wish/2440857953</guid>
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         <title>Random Forest</title>
         <author>alexandrapert99</author>
         <link>https://padlet.com/lucavlad50/p7rdku49m6g8grzc/wish/2441004033</link>
         <description><![CDATA[<div>For our dataset the accuracy is: 0.36</div>]]></description>
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         <pubDate>2023-01-11 15:37:15 UTC</pubDate>
         <guid>https://padlet.com/lucavlad50/p7rdku49m6g8grzc/wish/2441004033</guid>
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         <title>MultinominalNB</title>
         <author>alexandrapert99</author>
         <link>https://padlet.com/lucavlad50/p7rdku49m6g8grzc/wish/2441008343</link>
         <description><![CDATA[<div>For our dataset the accuracy is : 0.34</div>]]></description>
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         <pubDate>2023-01-11 15:39:52 UTC</pubDate>
         <guid>https://padlet.com/lucavlad50/p7rdku49m6g8grzc/wish/2441008343</guid>
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         <title>Support vector machines</title>
         <author>alexandrapert99</author>
         <link>https://padlet.com/lucavlad50/p7rdku49m6g8grzc/wish/2441013712</link>
         <description><![CDATA[<div>For our dataset the accuracy is:  0.58</div>]]></description>
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         <pubDate>2023-01-11 15:43:08 UTC</pubDate>
         <guid>https://padlet.com/lucavlad50/p7rdku49m6g8grzc/wish/2441013712</guid>
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         <title>Refine the data</title>
         <author>alexandrapert99</author>
         <link>https://padlet.com/lucavlad50/p7rdku49m6g8grzc/wish/2441024660</link>
         <description><![CDATA[<div>oversampling&nbsp;<br>undersampling</div>]]></description>
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         <pubDate>2023-01-11 15:50:13 UTC</pubDate>
         <guid>https://padlet.com/lucavlad50/p7rdku49m6g8grzc/wish/2441024660</guid>
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         <title>Oversampling and Undersampling</title>
         <author>alexandrapert99</author>
         <link>https://padlet.com/lucavlad50/p7rdku49m6g8grzc/wish/2441031135</link>
         <description><![CDATA[<div><strong><br>Oversampling </strong>— Duplicating samples from the minority class</div><div><strong><br>Undersampling</strong> — Deleting samples from the majority class.</div>]]></description>
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         <pubDate>2023-01-11 15:54:39 UTC</pubDate>
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