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Challenge #18: Predicting Baseball Wins

avinashsunchu
8 - Asteroid
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aheikes
8 - Asteroid
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atcodedog05
22 - Nova
22 - Nova

On a spree to binge complete weekly challenges

 

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This is my solution

atcodedog05_0-1585205426425.png

 

Got bit confused with the later calculation. Had to check for hints.

 

 

steven4320555
8 - Asteroid

A new type of challenge! Nice

 

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The top 10 most relevant variables are straight forward.

I'd love to spend some more time understanding and fine tuning the models, although, I got some sensible results. Note: given the small number of records, I have used all values to fit the linear regression model. 

steven4320555_1-1586021265680.png


I'd love to spend some time looking at solutions and predictions submitted by others. 

steven4320555
8 - Asteroid

 

I clicked reply from here: https://community.alteryx.com/t5/Weekly-Challenge/Challenge-18-Predicting-Baseball-Wins/m-p/79508/hi...

 

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Hi Jamie,

 

I was having similar thoughts for a while, about the 161 games 🙂 

It turns out the assumption for 162 games is used to calculate the predicted losses from predicted wins. 

 

Steven

 

But it appeared at the end of the thread. 

 

 

steven4320555
8 - Asteroid

Wow!!! Such a nice and comprehensive explanation! Is for @samjohnson

 

https://community.alteryx.com/t5/Weekly-Challenge/Challenge-18-Predicting-Baseball-Wins/m-p/86248/hi...

 

Goes very well with 

  • Interactive Lessons: Predictive Modeling

 https://community.alteryx.com/t5/Interactive-Lessons/tkb-p/interactive-lessons/label-name/Predictive...

 

 

Without domain knowledge, building a practical model can be tough. I guess, this is part of reason why most people just used a linear regression by default. 

 

Thanks!

Steven

Jean-Balteryx
16 - Nebula
16 - Nebula

Here is my solution !

JeremyGonzva
8 - Asteroid

my solution

erambeau
7 - Meteor

Hi,

 

Here is my solution.

 

For the sake of curiosity, I added a stepwise after the modelisation with the 10 variables, in order the avoid some multi-colinearity issues. The number of variables dropped down to 5.

 

The predictions are quite the same, and the sum of least squares is better on the 6 cities considered.

AMansour
11 - Bolide

Hello,

 

Here's my solution

 

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Cheers,

Amr