Evolution.inc

Have dedicated algorithms improve it before the ML parts. Assess the impact of your data properties regarding size, noise and sparseness levels. Employ various simulation techniques in order to overcome data challenges. Transform raw data into more meaningful representations to enhance machine learning. Generate new, creative feature relations by automatic mathematical manipulations. Instead of having one model to treat the whole dataset, split data into several packages. Run a variety of algorithms, each on its own data package, to combine their advantages. Create new boosting mechanisms of various datasets and algorithms working in parallel. Evolve traditional structures of classification models to express complex behaviors.