Genetic Programming-Based ML Models

Iplot overall network error at end of each epoch 

Genetic programming (GP) is an artificial intelligence-based exclusive data-driven formalism [49, 50], The GP was originally proposed to automatically generating computer codes that execute prespecified tasks. Later, it was extended to perform symbohc regression (SR). Once the data is submitted in the form of pairs of multiple inputs and single output of a model, the GP-based SR searches and optimizes 

3 Machine Learning Methods in Chemoinformatics for Drug Discovery 

The general form of the model to be secured by the GP-based SR is given as  

GP-based SR is to obtain an appropriate lineai/nonlinear functional form,/ and its parameter vector, a, that best fits the example data. 

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