Particle swarm optimization (PSO) algorithm with k-fold cross validation is used to determine the optimal hyperparameters or random parameters in the four machine learning (ML) methods, namely that, back-propag
Support Vector Machine (SVM) Decision Tree Naïve Bayes Random Forest ML Algorithms - Regression Random Forest Linear Regression ML Algorithms - Clustering Overview K-means Algorithm Mean Shift Algorithm Hierarchical Clustering ML Algorithms - KNN Algorithm Finding Nearest Neighbors Performance Metrics Autom...
src/ lib/ Library code (public API in root) lib/core Core library (KDtree traversal, data representations) lib/io Input/Output (Different file formats) py/ SWIG based python bindings doc/ Doxygen documentation and (the start of) a manual tests/ Start of regression tests (I need more) too...
How many variables does a simple linear regression have? What is the difference between linear and nonlinear regression lines? Name one reason why a predictor variable may be included in a multiple regression model which is used for prediction, even if the variable is not ...
(2014) used Kano Model and Kano Regression Method, verified consumer preferences, satis‐ faction and emotional experiences inspired by social and cultural products. The results of their researches offered designers with a better cognitive approach about how to design better products to meet consumer ...
The findings show that ANNs can be applied to this scenario and outperform more classical approaches, such as multiple linear regression or support vector machines." According to the news editors, the research concluded: "Still existing problems are largely due to the provided data, e.g., a ...