Which algorithm is typically faster for making predictions?

Practice Questions

Q1
Which algorithm is typically faster for making predictions?
  1. Decision Trees
  2. Random Forests
  3. Support Vector Machines
  4. Neural Networks

Questions & Step-by-Step Solutions

Which algorithm is typically faster for making predictions?
  • 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.
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