Meta Classification Model of Surface Appearance for Small Dataset Using Parallel Processing

Machine learning algorithms have become a very essential tool in the fields of math and engineering, as well for industrial purposes (fabric, medicine, sport, etc.). This research leverages classical machine innovative accurate efficient fabric protrusion detection. We present an approach improving model training with small dataset. use few classic statistics (decision trees, logistic regression, etc.) fully connected neural network (NN) model. also to optimize accuracy rate execution time finding best using parallel processing Dask (Python).