Data Science Intermediate Quiz 5

Welcome to the Data Intermediate Quiz!
You're about to test your knowledge of essential data concepts, including data types, storage, analysis techniques, and more. Answer each question carefully and within the given time limit.

Good luck! Let's begin!

1 / 10

What is the main purpose of the confusion matrix in classification problems?

To compute the loss

To assess the performance of the classification model

To visualize the distribution of the dataset

To identify correlated features

2 / 10

Which activation function is most commonly used in deep learning models?

Sigmoid

Tanh

ReLU (Rectified Linear Unit)

Softmax

3 / 10

Which of the following is a commonly used method for handling missing data in a dataset?

Delete all rows with missing values

Replace missing values with the mean or median

Predict missing values using a machine learning algorithm

All of the above

4 / 10

What does the term “overfitting” refer to in machine learning?

The model performs well on the training data but poorly on new data

The model performs poorly on both training and new data

The model performs equally well on training and new data

The model fails to find any pattern in the data

5 / 10

Which of the following techniques is used to reduce the dimensionality of the data?

Decision Trees

Principal Component Analysis (PCA)

Naive Bayes

K-Nearest Neighbors (KNN)

6 / 10

In a linear regression model, which metric is used to evaluate the goodness of fit?

Accuracy

Precision

R-squared

Recall

7 / 10

What does a p-value in hypothesis testing indicate?

The probability that the null hypothesis is true

The probability of observing the data given that the null hypothesis is true

The probability of observing the data given that the alternative hypothesis is true

The confidence level of the test

8 / 10

In Python, which library is primarily used for numerical computations?

pandas

matplotlib

NumPy

seaborn

9 / 10

Which of the following is NOT a supervised learning algorithm?

Decision Trees

K-Means Clustering

Support Vector Machines

Random Forests

10 / 10

What is the primary purpose of Exploratory Data Analysis (EDA)?

To clean the data

To make predictions

To summarize the main characteristics of the data

To perform hypothesis testing

Your score is

The average score is 80%

0%

Data Science Intermediate Quiz 5

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