The combined business model is very easy to conceptualize.
The model is very easy to fit, and we did so in Excel.
Once you wrap your head around this, you will see that the query processing model is very easy to understand: You build persistent queries that process records as they arrive".
Furthermore, model expansions are very easy to implement, due to the modular model structure which links different modules by signal flows only.
This model is a very easy and convenient tool for bacterial virulence determination.
It reproduces the processes of the human leptospirosis in the animal models using a very easy way.
kNN models are also very easy to update with new data: each new correctly classified patient can be added to the training database and used to classify subsequent cases.
"When an investor looks at a company with 200 stores, and it can grow to 600 stores, it's a very easy model to understand".
The model therefore requires some level of prior experimental work to be conducted to calibrate the model for a particular set up which in turns makes the model very computationally simple and easy to apply.
