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Challenge #18: Predicting Baseball Wins

yuval
Météoroïde

choose the most importance column with  random forest model

olga_strubbe
Bolide
Révélation
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
Quasar
Révélation
ed_hayter_0-1684775416329.png

 

SaiKrishna2589
Astéroïde

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
Astéroïde
Révélation
 
ntakeda
Quasar

Difficult.

Révélation
ntakeda_0-1687223516945.png

 

aroumpelaki
Astéroïde

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

rachel_lynch
Alteryx
Alteryx
Révélation
Predicting Baseball Wins.png

Rachel Lynch
arielmmoreira
Météoroïde

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

MatteoReddavide
Astéroïde

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

 

Révélation
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