Is There a Cat in Here?
summary
Begins with four random samples from a toy bin and builds a classification tree (CART/Prim) using features: fur, eyes, and leg count. Counts reveal snakes with zero legs, an alien with three legs, many two‑legged toys and a misclassified four‑legged My Little Pony; wheels confuse the leg feature. Discusses type one/type two errors and a Care Bear with plastic fur that breaks the fur rule. No toy cat in the bin; a real cat sits beside it with a dog toy.
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chapters (17)
- 0:00Start
- 0:11Is There a Cat in Here?
- 0:28Mine for a Cat in a Bin of Toys
- 0:39What is in Here?
- 1:03Four Samples
- 1:25What Does a Cat Look Like?
- 1:54Animal, not Animal
- 2:15Splitting Variables Having Legs into How many legs
- 2:42Miss Classification Type One Error Type Two Error
- 2:56Eyes
- 3:09How are Legs Different than Wheels?
- 3:27Missing Predictive Values Fur
- 3:41Classification Trees
- 3:55PRIM patient rule induction method
- 4:08Move Sides
- 4:23Four Legs
- 4:41What I found, Real Cat with Dog Toy
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