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Python 3
Multiple Choice Questions (MCQs)

Multiple Choice Questions (MCQs)

Multiple Choice Questions (MCQs)

Multiple Choice Questions (MCQs)

1. Which dataset is used in this project?

a. MNIST Dataset

b. Iris Dataset

c. Fake Reviews Dataset

d. Titanic Dataset

Answer: c. Fake Reviews Dataset

The project uses the Fake Reviews Dataset to classify customer reviews as fake or genuine.

2. Which feature extraction technique is used to convert review text into numerical values?

a. PCA

b. TF-IDF Vectorization

c. K-Means Clustering

d. Linear Regression

Answer: b. TF-IDF Vectorization

TF-IDF converts customer reviews into numerical feature vectors for machine learning.

3. Which machine learning algorithm is used in this project?

a. Decision Tree

b. K-Nearest Neighbors

c. Logistic Regression

d. Random Forest

Answer: c. Logistic Regression

Logistic Regression is used to classify customer reviews into fake and genuine categories.

4. Which evaluation metric summarizes the model's prediction performance using True Positives, False Positives, True Negatives, and False Negatives?

a. Histogram

b. Confusion Matrix

c. Scatter Plot

d. Pie Chart

Answer: b. Confusion Matrix

The Confusion Matrix provides a detailed breakdown of the model's classification results.

5. Which Python library provides the TF-IDF Vectorizer and Logistic Regression used in this project?

a. TensorFlow

b. OpenCV

c. Scikit-learn

d. Keras

Answer: c. Scikit-learn

Scikit-learn provides both the TF-IDF Vectorizer and the Logistic Regression classifier used in this project.

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Multiple Choice Questions (MCQs)

Contents

Multiple Choice Questions (MCQs)

1. Which dataset is used in this project?

2. Which feature extraction technique is used to convert review text into numerical values?

3. Which machine learning algorithm is used in this project?

4. Which evaluation metric summarizes the model's prediction performance using True Positives, False Positives, True Negatives, and False Negatives?

5. Which Python library provides the TF-IDF Vectorizer and Logistic Regression used in this project?

Fake Review Detection System using Machine Learning

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Computer Architecture

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Docker Tutorial

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GIT Guide

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Spring Boot Tutorial

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Java Examples Tutorial

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Java 8 Tutorial

Java 9 Tutorial

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Building a Contact Us Form in ReactJS

Building a Age Calculator App Using ReactJS

Movie Recommendation System Project Using Content-Based Filtering

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Deep learning Tutorial

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