When you use abductive machine learning, you draw inferences based on a variety of scenarios. Deep neural networks serve as their foundation. In deductive machine learning, you acquire the result first and then improve it based on your previous findings. In this example, a decision tree is used as the machine learning method.
Inductive machine learning learns from a set of examples and then draws conclusions based on them. It employs statistical machine learning techniques such as KNN, SVM, and others.