Which supervised learning algorithm is based on the idea of minimizing the sum of squared errors between the predicted and actual target values?Review LaterLinear regressionLogistic regressionK-nearest neighborsDecision tree

Which supervised learning algorithm is based on the idea of minimizing the cross-entropy loss between the predicted and actual target classes?Review LaterLinear regressionLogistic regressionRecallMean Squared Error

The "Regression" technique in Machine Learning is a group of algorithms that are used for:

Question 2The "Regression" technique in Machine Learning is a group of algorithms that are used for:1 pointPrediction of class/category of a case; for example, a cell is benign or malignant, or a customer will churn or not.Finding items/events that often co-occur; for example grocery items that are usually bought together by a customer.Predicting a continuous value; for example predicting the price of a house based on its characteristics.

What is a decision tree algorithm used for?1 pointa. Classificationb. Regressionc. Clusteringd. Dimensionality reduction

In machine learning, which algorithm is known for creating an optimal hyperplane to classify data points?Review LaterAdaBoost ClassifierRandom ForestSupport Vector Machine (SVM)K-Nearest Neighbors