A regression problem is one where the goal is to predict a single numeric value. For example, you might want to predict the price of a house based on its square footage, age, number of bedrooms and ...

Machine learning accurately predicts peak and average IOP, aiding glaucoma management by informing treatment decisions. Random forest regression (RFR) outperformed other algorithms in predicting ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, offering a more reliable and efficient alternative to traditional estimation ...

A regression problem is one where the goal is to predict a single numeric value. For example, you might want to predict the annual income of a person based on their sex, age, state where they live and ...

A machine learning model bests traditional methods for predicting cirrhosis mortality among hospitalized patients.

Researchers at Pennsylvania State University examined whether machine learning could predict the risk and contributing ...

Kinds of machine learning Machine learning can solve non-numeric classification problems (e.g., “predict whether this applicant will default on his loan”) and numeric regression problems (e.g ...

Findings from a new study published in Annals of Family Medicine show that a machine learning model accurately predicts ...