Quiz | Croma Campus

What is the purpose of the activation function in a neural network?

To determine the learning rate of the network.
To transform the input data into a different representation.
To control the number of layers in the network.
To introduce non-linearity to the model.

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What is the primary purpose of a hash function in data processing?

To sort data in ascending order.
To transform data into a unique fixed-size value.
To remove duplicates from a dataset.
To compute the mean value of a set of numbers.

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In a confusion matrix, which term represents the number of true positive predictions?

True Positive (TP)
False Positive (FP)
True Negative (TN)
False Negative (FN)

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Which algorithm is used for predicting a discrete class label for a given input data point?

Linear Regression
K-Means Clustering
Decision Tree
Principal Component Analysis (PCA)

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What is the primary goal of feature scaling in machine learning?

To convert categorical features into numerical features.
To remove outliers from the dataset.
To standardize the range of feature values.
To select the most relevant features for the model.

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In a confusion matrix, which term represents the number of true positive predictions?

True Positive (TP)
False Positive (FP)
True Negative (TN)
False Negative (FN)

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What is the main purpose of the "test set" in machine learning?

To fine-tune hyperparameters.
To evaluate the model's performance on unseen data.
To perform feature engineering.
To select the best algorithm for the task.

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Which statistical test is used to determine whether there is a significant difference between the means of two or more groups?

T-Test
ANOVA (Analysis of Variance)
Chi-Square Test
Pearson Correlation

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Which algorithm is used for predicting a discrete class label for a given input data point?

Linear Regression
K-Means Clustering
Decision Tree
Principal Component Analysis (PCA)

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What is the primary advantage of using ensemble methods in machine learning?

They require less computational resources.
They reduce the risk of underfitting.
They are less prone to overfitting.
They improve the interpretability of models.

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What is the primary goal of time series forecasting?

To classify data into different categories.
To transform continuous variables into categorical variables.
To predict future values based on historical data.
To perform dimensionality reduction on a dataset.

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Which algorithm is often used for natural language processing tasks such as language translation?

Random Forest
Support Vector Machine (SVM)
Recurrent Neural Network (RNN)
K-Means Clustering

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Which technique is used to reduce the impact of outliers in a dataset?

Normalization
Feature Scaling
Outlier Detection
Data Imputation

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What is the goal of hyperparameter tuning in machine learning?

To increase the complexity of the model.
To reduce the number of features in the dataset.
To optimize the model's performance by selecting the best hyperparameters.
To eliminate noise from the data.

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What is the main drawback of the K-Nearest Neighbors (KNN) algorithm?

It is computationally expensive during training.
It cannot handle categorical data.
It requires a labeled dataset for training.
It is sensitive to the choice of the number of neighbors (k).

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What is the purpose of cross-validation in machine learning?

To split the dataset into training and testing sets.
To assess the performance of a model on unseen data.
To reduce overfitting by penalizing complex models.
To calculate the gradient descent in optimization algorithms.

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Which type of data preprocessing technique is used to convert textual data into a format suitable for machine learning algorithms?

Normalization
Feature Scaling
Tokenization
Standardization

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What is the purpose of the activation function in a neural network?

To determine the learning rate of the network.
To transform the input data into a different representation.
To control the number of layers in the network.
To introduce non-linearity to the model.

Mark for review

What is the main purpose of the "test set" in machine learning?

To fine-tune hyperparameters.
To evaluate the model's performance on unseen data.
To perform feature engineering.
To select the best algorithm for the task.

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Which data visualization technique is used to display the relationship between two continuous variables?

Bar Chart
Scatter Plot
Histogram
Box Plot

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What is the primary purpose of a hash function in data processing?

To sort data in ascending order.
To transform data into a unique fixed-size value.
To remove duplicates from a dataset.
To compute the mean value of a set of numbers.

Mark for review

What is the purpose of regularization in machine learning algorithms?

To make the model more complex.
To make the model less interpretable.
To penalize large coefficient values and prevent overfitting.
To increase the training accuracy of the model.

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Which algorithm is used for solving optimization and search problems through a process of mimicking the process of natural selection?

Genetic Algorithm
Decision Tree
K-Means Clustering
Support Vector Machine (SVM)

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What is the main goal of exploratory data analysis (EDA)?

Building predictive models.
Cleaning and preprocessing data.
Making inferences about a population.
Summarizing and visualizing data to uncover insights.

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Which technique is used to prevent overfitting in decision trees?

Pruning
Bagging
Boosting
Clustering

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