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Which algorithm is typically faster for making predictions?
Practice Questions
Q1
Which algorithm is typically faster for making predictions?
Decision Trees
Random Forests
Support Vector Machines
Neural Networks
Questions & Step-by-Step Solutions
Which algorithm is typically faster for making predictions?
Steps
Concepts
Step 1: Understand that algorithms are methods used to make predictions based on data.
Step 2: Learn about Decision Trees, which are a type of algorithm that uses a tree-like model to make decisions.
Step 3: Realize that when making a prediction with a Decision Tree, you only need to follow a single path down the tree.
Step 4: Compare this to other algorithms that may require more complex calculations or multiple steps to make a prediction.
Step 5: Conclude that because Decision Trees only require traversing one path, they are typically faster for making predictions.
No concepts available.
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