A supervised learning algorithm, decision trees can also be used for either classification problems or regression problems. It’s called a “tree” because it possesses a hierarchical structure.

Which kind of algorithm works best (supervised, unsupervised, classification, regression, etc.) depends on the kind of problem you’re solving, the computing resources available, and the nature ...

Which kind of algorithm works best (supervised, unsupervised, classification, regression, etc.) depends on the kind of problem you’re solving, the computing resources available, and the nature ...

They found that the algorithm with the best correlation does not always have the best selection rate. Instead of building a regression curve that fits all the training data, classification ...

A team of Master’s students in Data Science and Big Data at Hassan II University in Casablanca has designed an artificial ...

includes classification algorithms such as neural networks, gradient boosting, Random Forest, Naïve Bayes, Support Vector Machines (SVM), k-Nearest Neighbors (k-NN), logistic regression ...

The original AdaBoost ("adaptive boosting") algorithm is a binary classification technique (predicting a variable that has two possible values, such as the sex of a person). The AdaBoost.R2 ("AdaBoost ...

Algorithms that fuse the information together can support this classification. An international research team has now developed an algorithm that classifies skin lesions more accurately than ...