Used Car Price Prediction Using Random Forest Algorithm

Resale Price Prediction in the Used Car Market

Diagnosis of Diabetes Using a Random Forest Algorithm

Background: Diabetes is the fourth leading cause of death in the world. And because so many people around the world have the disease, or are at risk for it, diabetes can be called the disease of the century. Diabetes has devastating effects on the health of people in the community and if diagnosed late, it can cause irreparable damage to vision, kidneys, heart, arteries and so on. Therefore, it...

Prediction of PKCθ Inhibitory Activity Using the Random Forest Algorithm

This work is devoted to the prediction of a series of 208 structurally diverse PKCθ inhibitors using the Random Forest (RF) based on the Mold(2) molecular descriptors. The RF model was established and identified as a robust predictor of the experimental pIC(50) values, producing good external R(2) (pred) of 0.72, a standard error of prediction (SEP) of 0.45, for an external prediction set of 51...

A Random Forest Turbulence Prediction Algorithm

Unlike traditional pilot reports, in-situ EDR reports of atmospheric turbulence from commercial aircraft contain both positive and negative instances, are reported regularly, and have relatively accurate positions and timestamps. These data therefore make it feasible to perform more sophisticated analyses of the causes of atmospheric turbulence than were formerly possible. Several real-time gri...

How much is my car worth? A methodology for predicting used cars prices using Random Forest

Cars are being sold more than ever. Developing countries adopt the lease culture instead of buying a new car due to affordability. Therefore, the rise of used cars sales is exponentially increasing. Car sellers sometimes take advantage of this scenario by listing unrealistic prices owing to the demand. Therefore, arises a need for a model that can assign a price for a vehicle by evaluating its ...