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Exercise 2 #3

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betatim opened this issue Mar 21, 2018 · 23 comments
Open

Exercise 2 #3

betatim opened this issue Mar 21, 2018 · 23 comments

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@betatim
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betatim commented Mar 21, 2018

Post questions and answers about exercise 2 in this thread.

@loikki
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loikki commented Apr 9, 2018

@raimon-fa
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raimon-fa commented Apr 11, 2018

Here are my solutions: https://github.com/raimon-fa/advanced-comp-2018/tree/master/session_2
Raimon Fabregat

@Melonel
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Melonel commented Apr 11, 2018

Hello, my solution (Nathan Bernier) are at
https://github.com/Melonel/advanced-comp-2018/blob/master/exercise2.ipynb

@martin-millon
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@calispac
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Hi all!
My solution will be here : https://github.com/calispac/advanced-computing-2018

@liferrei
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Hello, my solution : https://github.com/liferrei/advanced-comp-2018

@4lukashchuk
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@willpietrak
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@ptuckmantel
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ptuckmantel commented Apr 11, 2018

@makarpov
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@joacohoya
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joacohoya commented Apr 12, 2018

@stephanie-bron
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@adamyanova
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Here are my solutions as well: https://github.com/adamyanova/ACT_2018/tree/master/Ex_2

@kbvw
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kbvw commented Apr 12, 2018

Exercise 1 and 2 (not complete): https://github.com/koenobi/mlcourse

@dsperone
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Here are my answers : https://github.com/dsperone/advanced_comp_tech_2018

@betatim
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betatim commented Apr 19, 2018

If you'd like to find out how much you overtrained your model and how well you predicted the future performance the testing data is here: https://github.com/wildtreetech/advanced-computing-2018/blob/master/data/challenge-test.csv

It also contains the extra column that you need to remove.

The data was taken from this competition: https://www.kaggle.com/c/flavours-of-physics

@4lukashchuk
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4lukashchuk commented Apr 19, 2018

Results on the test data:
accuracy: 0.9172615616547688
roc_auc: 0.9136447763145421

@ptuckmantel
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Predicted:
ROC AUC: 0.909744
Accuracy: 0.916000

Test data:
ROC AUC: 0.911016
Accuracy: 0.916863

https://github.com/ptuckmantel/advanced-comp-2018/blob/master/Scores.png

@stephanie-bron
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stephanie-bron commented Apr 25, 2018

Predicted:
Accuracy: 0.910380952381
AUC ROC score 0.902998700014

Test:
Accuracy: 0.9102115017957699
AUC ROC score 0.9030832773865136

https://github.com/stephanie-bron/advanced-computing-2018/tree/master/lecture-02

@kbvw
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kbvw commented Apr 25, 2018

Predicted:
Accuracy: 0.892
ROC AUC: 0.883

Test:
Accuracy: 0.890
ROC AUC: 0.881

https://github.com/koenobi/mlcourse/tree/master/exercise2

@ZeusHofstetter
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ZeusHofstetter commented May 1, 2018

My answers to the questions are located at https://github.com/ZeusHofstetter/advanced-comp-2018
Albert Hofstetter

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