ITE Elective 3 Finals Quiz Reviewer

The training set is used to train the model, while the testing set is used to (a)   its performance on unseen data.

1. Supervised learning is utilized to detect fraudulent activities. By analyzing historical transaction data, algorithms can learn patterns of fraudulent behavior and identify potential fraud in real-time.

(a)  

1. Predictive modeling involves the construction and (a)   of a model based on known 

 outcomes to make predictions or decisions about new or unseen data.

(a)   is the percentage of correctly predicted outcomes.

Data is the (a)   used to train machine learning models

In Reinforcement Learning (RL), agents are trained on a reward and (a)   mechanism. The agent is rewarded for correct moves and punished for the wrong ones. In doing so, the agent tries to minimize wrong moves and maximize the right ones

Predictive modeling involves using data and  (a)   algorithms to forecast future events or behaviors.

 In unsupervised learning, the algorithm learns from (a)   structures in the data without explicit guidance.

1. Linear Regression is used when the relationship is more complex and a curved line better fits the data. 

• False
• True

1. Data is typically split into (a)   and testing sets.