What is the primary goal of training a supervised learning model?<br /> A. 1. Minimize error between predicted and actual outputs <br />B. 2. Classify data into categories <br />C. 3. Optimize a function without labeled data <br />D. 4. Discover hidden patterns in data

What is the purpose of training an ML model? a) To evaluate the model's performance b) To preprocess the input data c) To optimize the model's parameters d) To generate predictions

What is supervised learning?Review LaterLearning with labeled data, where the target variable is knownLearning with unlabeled data, where the target variable is unknownLearning with feedback, where the machine learns from its mistakesLearning with a teacher, where the machine learns by example

What is a supervised learning algorithm?Select one:a.An algorithm that can only perform classification tasksb.An algorithm that can only perform regression tasksc.An algorithm that can learn from unlabeled datad.An algorithm that can learn from labeled data

Supervised Learning Algorithms: 3 Main Types❑ Use labeled training data to learn mapping function 𝑭 that turns inputvariables (𝑋) into the output variable 𝑌 :𝑌 = 𝐹(𝑋)1. Classificationo Using inputs to predict the input outcome in form of categories.o Response output variable y is qualitative or categoricalo Eg: use Apple data to classify its sector as Technology, Consumer,...o Eg, Clustering, PCA, Decision trees2. Regressiono Using inputs to predict the outcome in real values.o Response output variable y is quantitativeo Eg, using Apple data to predict its future stock price.o Eg. Linear Reg, Logistic Reg, CART, NaÔve-Bayes, K-Nearest Neighbor

Explain the mechanism of supervised learning as a fundamental approach in machine learning. Emphasizing how algorithms map inputs to outputs. Provide an example of a supervised learning algorithm, such as logistic regression, and describe its application in a specific domain