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CLASSIFIER - Coggle Diagram
CLASSIFIER
Decision Tree
ii) Where to use it
Frequently used in operations research, particularly in decision analysis.
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iii) How to use it
- Determine what we want to classify based on the dataset.
- Examine the Training dataset.
- Select the best attributes to split data into two sets by separating two different labels.
- Calculate the gain by calculating the entropy of the dataset after each split.
- Select the condition with the highest gain.
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i) What is it
A decision tree is a flowchart-like tree structure, where each internal node (nonleaf node) denotes a test on an attribute, each branch represents an outcome of the test, and each leaf node (or terminal node) holds a class label.
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Clustering
i) What is it
To identify the group of things that are similar to one other but different from the objects in other groupings
ii) Where to use it
It broadly used in many applications such as market research, pattern recognition, data analysis, and image processing.
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iv) When to use it
1) When you’re starting from a large, unstructured dataset.
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