Learning speed or prediction accuracy? Comparative analysis of program-ming frameworks for artificial intelligence

The purpose of the article is to analyze frameworks for artificial intelligence applications. In particular, effectiveness, time-consumption and resources requirement. Linear regression, random forests k nearest neighbors models were created each framework. learning data a dataset containing informations about diamonds their prices. Each model was designed learn diamonds’ prices then make prediction depending on its specific characteristics such as cut, color, volume. divided into sets different sizes show changes in amount training data.