u930973931_answers 10 min Score: 0 Attempted: 0/10 Subscribe 1. What is distributed data mining (DDM)? (A) Mining data on a single machine only (B) Mining data that is distributed across multiple machines or nodes (C) Storing data across multiple databases (D) Sharing data between different organizations 2. Which of the following is a key advantage of … Read more
15 min Score: 0 Attempted: 0/15 Subscribe 1. What is one of the main challenges in handling big data in data mining? (A) Difficulty in ensuring data privacy and security (B) High cost of computing power (C) Lack of storage space (D) Inability to process small datasets 2. Which challenge is most commonly associated with … Read more
10 min Score: 0 Attempted: 0/10 Subscribe 1. What is the primary characteristic of Big Data? (A) It involves large amounts of structured data only (B) It is used for storing and analyzing small datasets (C) It involves high volume, velocity, and variety of data (D) It requires specialized software for real-time processing 2. Which … Read more
15 min Score: 0 Attempted: 0/15 Subscribe 1. What does the ROC Curve (Receiver Operating Characteristic Curve) visualize? (A) The trade-off between True Positive Rate (TPR) and False Positive Rate (FPR) (B) The relationship between Precision and Recall (C) The correlation between actual values and predicted values (D) The distribution of the predicted probabilities 2. … Read more
14 min Score: 0 Attempted: 0/14 Subscribe 1. What does Precision measure in a classification model? (A) The proportion of predicted positive instances that are actually positive (B) The proportion of actual negative instances correctly predicted as negative (C) The proportion of actual positive instances correctly predicted as positive (D) The proportion of predicted negative … Read more
12 min Score: 0 Attempted: 0/12 Subscribe 1. In a confusion matrix, what does a True Positive (TP) represent? (A) The number of instances incorrectly predicted as negative (B) The number of instances correctly predicted as positive (C) The number of instances correctly predicted as negative (D) The number of instances incorrectly predicted as positive … Read more
10 min Score: 0 Attempted: 0/10 Subscribe 1. What is the purpose of cross-validation in machine learning? (A) To reduce the size of the dataset (B) To increase the number of training examples (C) To improve the model’s accuracy by adding more features (D) To evaluate the model’s performance and reduce overfitting 2. Which of … Read more
15 min Score: 0 Attempted: 0/15 Subscribe 1. Which of the following is a primary feature of the Hadoop framework? (A) In-memory processing for real-time data (B) Interactive data visualization (C) Built-in machine learning algorithms (D) Distributed storage and processing of large-scale datasets 2. What is the core component of Hadoop responsible for storing large … Read more
15 min Score: 0 Attempted: 0/15 Subscribe 1. Which of the following tools is an open-source data mining software that provides a graphical user interface for building machine learning models? (A) Weka (B) Tableau (C) SQL Server (D) Microsoft Power BI 2. What is the primary use of the Python library Scikit-learn? (A) Data visualization … Read more
15 min Score: 0 Attempted: 0/15 Subscribe 1. Which of the following is a popular open-source data mining tool? (A) KNIME (B) SAS (C) Tableau (D) SPSS 2. What is the primary function of the data mining tool Weka? (A) Data visualization (B) Data cleaning and preprocessing (C) Performing natural language processing (D) Implementing machine … Read more