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Challenge #18: Predicting Baseball Wins

yuval
6 - Meteoroid

choose the most importance column with  random forest model

olga_strubbe
11 - Bolide
Spoiler
olga_strubbe_0-1684761975999.png

 

Thank you, @GeneR, for a neat challenge.  It helped me to practice Predictive tools that I am just starting to learn. 

ed_hayter
12 - Quasar
Spoiler
ed_hayter_0-1684775416329.png

 

SaiKrishna2589
8 - Asteroid

Lot of solutions didn't seem to have considered multi-collinearity in predictor variables (top 10)

for instance R and R_G are highly co-related although they both are significant. It makes sense to use only 1 f these variables to avoid multi-collinearity issue. Similarly, it makes sense to remove 'PA' as well for the same reason.

cusher
8 - Asteroid
Spoiler
 
ntakeda
11 - Bolide

Difficult.

Spoiler
ntakeda_0-1687223516945.png

 

aroumpelaki
8 - Asteroid

Had to peek to the solution... Interesting to see how different models behave!

rachel_lynch
Alteryx
Alteryx
Spoiler
Predicting Baseball Wins.png

Rachel Lynch
arielmmoreira
6 - Meteoroid

Isn't it necessary to normalize the variables before applying a model?

MatteoReddavide
8 - Asteroid

Very hard as first approach to predictive tools, but a great GREAT training!

 

Spoiler
Screenshot 2023-07-17 160337.png