Chapter 3. Random Forest on iOS
This chapter will provide you with an overview of the random forest algorithm. We will first look at the decision tree algorithm and, once we have a handle on it, try to understand the random forest algorithm. Then, we will use Core ML to create a machine learning program that leverages the random forest algorithm and predicts the possibility of a patient being diagnosed with breast cancer based on a given set of breast cancer patient data.
As we already saw in Chapter 1, Introduction to Machine Learning on Mobile, any machine learning program has four phases: define the machine learning problem, prepare the data, build/rebuild/test the model, and deploy it for usage. In this chapter, we will try to relate these with random forest and solve the underlying machine learning problem.
Problem definition: The breast cancer data for certain patients is provided and we want to predict the possibility of diagnosing breast cancer for a new data item.
We will be covering...
