Machine Learning Algorithm Transition Quiz
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Questions and Answers

Which method was introduced to improve the accuracy of the model when the response variable was not linearly related to the explanatory variables?

  • Support vector machines
  • Polynomial regression (correct)
  • Ridge regression
  • Logistic regression

    • What problem does the perceptron face as a binary classifier?

  • It cannot handle imbalanced datasets
  • It cannot effectively classify linearly inseparable feature representations (correct)
  • It cannot handle high-dimensional feature space
  • It cannot handle non-linear regression

    • What technique suffers from computational problems due to increasing the dimensions of the feature space?

  • Transforming with support vector machines
  • Regularizing with ridge regression
  • Increasing feature space with polynomial regression (correct)
  • Decreasing feature space with logistic regression

    • What was the special case of multiple linear regression introduced to address the non-linear relationship between the response variable and the explanatory variables?

    <p>Polynomial regression</p> Signup and view all the answers

    What is the primary limitation of using synthetic combinations of features to approximate nonlinear functions with linear models?

    <p>Computational problems</p> Signup and view all the answers

    ما هو الحل الذي تم تقديمه لتحسين دقة النموذج عندما لا تكون المتغير المستجاب ذو علاقة خطية مع المتغيرات التفسيرية؟

    <p>تقديم الانحدار الخطي الكثيري</p> Signup and view all the answers

    ما هي المشكلة الرئيسية التي يواجهها البيرسيبترون كمصنف ثنائي؟

    <p>لا يمكن استخدامه لتصنيف التمثيلات غير الخطية بشكل فعال</p> Signup and view all the answers

    ما هي المشكلة التي واجهناها في مناقشتنا للانحدار الخطي المتعدد في الفصل 2؛ وهي انعدام العلاقة الخطية بين المتغير المستجاب والمتغيرات التفسيرية؟

    <p>التصنيف الخطي غير كافٍ لتحديد التمثيلات غير الخطية</p> Signup and view all the answers

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