Added more machine learning quiz questions and explanations #7214
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Added multiple questions and explanations related to machine learning concepts, including overfitting, gradient descent, dimensionality reduction, evaluation metrics, reinforcement learning, confusion matrix, and neural network challenges.
Ebazhanov
reviewed
Oct 31, 2025
necessary changes made Co-authored-by: Evgenii Bazhanov <[email protected]>
Ebazhanov
requested changes
Oct 31, 2025
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| Techniques like PCA aim to compress data by keeping maximum variance with fewer features. | ||
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here as well
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| Accuracy is only meaningful for classification, not regression. | ||
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| The reward function provides feedback based on actions taken, guiding the agent’s learning. | ||
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| It summarizes true/false positives and negatives, helping analyze accuracy, precision, and recall. | ||
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Just made the necessary changes. Kindly have a look.
Regards
…On Fri, 31 Oct 2025 at 22:21, Evgenii Bazhanov ***@***.***> wrote:
***@***.**** requested changes on this pull request.
left some comments
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In machine-learning/machine-learning-quiz.md
<#7214 (comment)>
:
> +
+---
+
+#### Q131. What is the main goal of dimensionality reduction?
+
+a) Reduce the number of input features while retaining important information
+b) Increase model complexity
+c) Improve bias at the cost of variance
+d) Remove all correlations between features
+
+**Explanation:**
+The correct answer is a) Reduce the number of input features while retaining important information
+
+Techniques like PCA aim to compress data by keeping maximum variance with fewer features.
+
+---
⬇️ Suggested change
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here as well
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In machine-learning/machine-learning-quiz.md
<#7214 (comment)>
:
> +
+---
+
+#### Q132. Which of these metrics is **not** suitable for evaluating a regression model?
+
+a) Accuracy
+b) RMSE
+c) MAE
+d) R²
+
+**Explanation:**
+The correct answer is a) Accuracy.
+
+Accuracy is only meaningful for classification, not regression.
+
+---
⬇️ Suggested change
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In machine-learning/machine-learning-quiz.md
<#7214 (comment)>
:
> +
+---
+
+#### Q133. You are developing a reinforcement learning model. What is the main component that guides the learning process?
+
+a) Loss function
+b) Reward function
+c) Activation function
+d) Clustering function
+
+**Explanation:**
+The correct answer is b) Reward function.
+
+The reward function provides feedback based on actions taken, guiding the agent’s learning.
+
+---
⬇️ Suggested change
----
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In machine-learning/machine-learning-quiz.md
<#7214 (comment)>
:
> +
+---
+
+#### Q134. What is a confusion matrix used for?
+
+a) Evaluating classification model performance
+b) Measuring model bias
+c) Checking data imbalance
+d) Computing correlation
+
+**Explanation:**
+The correct answer is a) Evaluating classification model performance
+
+It summarizes true/false positives and negatives, helping analyze accuracy, precision, and recall.
+
+---
⬇️ Suggested change
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Oct 31, 2025
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Added multiple questions and explanations related to machine learning concepts, including overfitting, gradient descent, dimensionality reduction, evaluation metrics, reinforcement learning, confusion matrix, and neural network challenges.
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