ML Basic MCQs DS300123

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  1. In a decision tree, what measure is commonly used to determine the best split at each node?
    a) Gini impurity
    b) Mean squared error
    c) Cross-entropy
    d) Variance
  2. What is the purpose of regularization in machine learning algorithms?
    a) To reduce bias
    b) To reduce variance
    c) To improve model interpretability
    d) To speed up training
  3. Which algorithm is commonly used for dimensionality reduction?
    a) Random Forest
    b) K-means clustering
    c) Principal Component Analysis (PCA)
    d) Gradient Boosting
  4. What is the purpose of the loss function in a neural network?
    a) To measure the accuracy of the model’s predictions
    b) To optimize the model’s parameters during training
    c) To prevent overfitting
    d) To handle missing data
  5. What is the main goal of unsupervised learning?
    a) To classify data into predefined categories
    b) To make predictions based on labeled examples
    c) To discover patterns or structure in data
    d) To evaluate the performance of a model
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1.a)Gini Impurity
2.b)To reduce variance
3.c) Principal Component Analysis(PCA)
4.b) To optimize the model’s parameters during training
5.c) To discover patterns or structure in data

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@nagmafariyal2017
Correct :100: and very nice :+1:

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