Difference between revisions of "TDSM 7.15"
From The Data Science Design Manual Wikia
(Created page with "Miss Universe: The baseline model should be Random Forest. As random forest will help to extract the relevant features easily.") |
|||
| (4 intermediate revisions by one other user not shown) | |||
| Line 1: | Line 1: | ||
Miss Universe: | Miss Universe: | ||
The baseline model should be Random Forest. As random forest will help to extract the relevant features easily. | The baseline model should be Random Forest. As random forest will help to extract the relevant features easily. | ||
| + | |||
| + | Movie gross: Baseline model - Logistic regression | ||
| + | |||
| + | Baby weight: Baseline model - Average birth weight | ||
| + | |||
| + | Art of Auction: Baseline model - Nearest Neighbour | ||
| + | |||
| + | Snow on Christmas - Nearest neighbor (Clustering) | ||
| + | |||
| + | Super Bowl / College Champion: Baseline model - Nearest Neighbour Model | ||
| + | |||
| + | Ghoul Pool - Lifetables | ||
| + | |||
| + | Future Gold / Oil Price -Baseline model - Linear Regression | ||
Latest revision as of 19:14, 13 December 2017
Miss Universe: The baseline model should be Random Forest. As random forest will help to extract the relevant features easily.
Movie gross: Baseline model - Logistic regression
Baby weight: Baseline model - Average birth weight
Art of Auction: Baseline model - Nearest Neighbour
Snow on Christmas - Nearest neighbor (Clustering)
Super Bowl / College Champion: Baseline model - Nearest Neighbour Model
Ghoul Pool - Lifetables
Future Gold / Oil Price -Baseline model - Linear Regression
