You are training a KNN regression model to predict the housing price in Tucson. You are excited to find that your regression model achieves excellent performance on the training set. However, your model performs much worse on the test set. You know that your implementation has no error, so what could be the reason behind the problem?

Which following statement is incorrect about feature selection and dimensionality reduction?

Which of the following is NOT an attribute of Unsupervised Learning?

Google has been collecting users’ search history to identify users’ interest and improve its search results. It is estimated that around 100,000 searches are made every single second on Google for various items, such as books, news, and images. Which characteristic of Big Data is not reflected in this situation?

Which of the following statements on the k-means clustering algorithm is correct?

An e-commerce business is considering the design of its database for users’ shopping cart. They want the shopping cart function to operate 24/7 so that shoppers can make purchases whenever they like. They also want to ensure that the shopping cart function will not be disrupted in case of local network failures. Based on the information, which of the following database designs will you choose?

For hierarchical clustering, which statement is NOT correct?

“fzero” is a hybrid method that combines three interpolation techniques to find roots. List those three methods in the order of the operation.First, [ Answer 1 ]If the first fails, [ Answer 2 ]If both the first and the second fails,  [ Answer 3 ]

Pablo works for a company that has changed its in-house professional development program for employees. In 2024, it had a traditional compliance focus, and in 2025, it was more individualized, using AI to support the training. Group A (2024 cohort): Employees trained with traditional compliance-focused Group B (2025 cohort): Employees trained with AI support Pablo compared communication skill scores between employees trained in 2024 vs. 2025. What is the correct null hypothesis for a non-parametric test?

Below are five closing values for Apple in November 2025 Find the simple exponential smoothing forecast for Day 6 where the alpha = 0.2. Use JMP with customized alpha.  Round your answer to two values after the decimal. Apple closing stock values 11/10/25  11/11/2025 11/12/2025 11/13/2025 11/14/2025 269.43 275.25 273.47 272.95 272.41