Introduction to classification_middleschool
- 1. AI Club
- 3. What is Classification? An AI method that is used if the output variable (what we are trying to predict) is a category – like Good/Bad, Cat/Dog, etc. For example – Is this a picture of a cat, a dog or a unicorn? Dog Cat
- 4. Example: Classifications in Real Life Is this person feeling Happy or Sad? (Classification) Temperature at 12 Noon tomorrow in Saratoga, CA? (No! Regression) Is this person sick? (Classification)
- 5. Classification Basics • Type of “Supervised Learning” • Needs a label (right answer) for every example Features Labels Number of Countries Visited Number of Years in School Height (Feet) Who am I? 20 15 5.2 Adult 2 3 3.5 Child 10 12 4.9 Adult
- 6. Classification Basics • Type of “Supervised Learning” • Needs a label (right answer) for every example • Can take any type of Feature (numbers, categories, text etc.) • Common real life examples take 100s of features! • Can be Binary (two categories) or Multi-class (more than 2 categories) Features Labels Number of Countries Visited Number of Years in School Height (Feet) Who am I? 20 15 5.2 Adult 2 3 3.5 Child 10 12 4.9 Adult
- 7. Classification Basics • Many algorithms are available • An Algorithm is a particular method for doing something • Examples – KNN, Linear Learner • You can try more than one and pick the best Model that comes out Algorithms