Machine Learning with iFlow
Machine learning algorithms build a model based on sample data, known as "training data", in order to make predictions or decisions without being explicitly programmed to do so. The following are machine leanring techniques currently supported in iFlow.
Regression is a method for estimating the relationships between a dependent variable and one or more independent variables.
Pearson correlation is a method to measure the relationship, whether causal or not, between two variables.
k-nearest neighbors classification
k-nearest neighbors is a method that classifies a member into different categories.
k-means clustering is a method that partitions n observations into k clusters in which each observation belongs to the cluster with the nearest mean (cluster centers or centroid).