Create a decision tree by creating a 'Decision Tree Al Modell for classifying handwritten alphabets. Divide
the class into groups of 5 or 6 students and do the following:
1. Develop a Decision tree to recognise the pattern of converted alphabets for differentiating the
different alphabets.
2. Develop a decision tree to convert the handwritten alphabets into pixels.
please answer fast.
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A Decision Tree is a simple representation for classifying examples. It is a Supervised Machine Learning where the data is continuously split according to a certain parameter.
Decision Tree consists of :
Nodes : Test for the value of a certain attribute.
Edges/ Branch : Correspond to the outcome of a test and connect to the next node or leaf.
Leaf nodes : Terminal nodes that predict the outcome (represent class labels or class distribution).
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