When a problem has many attributes that impact the classification of different patterns, decision trees may be a useful approach.

Question

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Decision trees are useful in cases where there are multiple attributes or features that impact the classification of patterns. By splitting the data based on different attributes and their values, decision trees can help identify the most relevant factors in determining the classification of the dataset.

When a Problem Has Many Attributes That Impact the Classification