Machine Learning Case Studies
by Evidence Based Machine Learning Lab
How should I impute? – imputation techniques comparison.
Łukasz Brzozowski; Wojtek Kretowicz; Kacper Siemaszko;
2020-06-21
1201 words
imputation
machine learning
missing values
Data for Takeaway: A Quest for the Missing Data
Mateusz Bąkała; Michał Pastuszka; Karol Pysiak;
2020-06-20
1289 words
imputation
missing data
machine learning
story
entertainment
Can you build an explainable model outperforming black box?
Mikołaj Malec; Maciej Paczóski; Bartosz Rożek;
2020-06-16
391 words
XAI
black-boxes
interpretability
Correlation between reproducibility of research papers and their objective
Patryk Wrona; Marceli Korbin; Mikołaj Jakubowski;
2020-06-16
655 words
reproducibility
Improving glass-box models with various variables transformations
Piotr Piątyszek; Marcin Łukaszyk; Ngoc Anh Nguyen;
2020-06-16
392 words
glass-box
black-box
features importance
features transformations
features engineering
Scientific magazines & reproducibility
Ada Gąssowska; Mateusz Grzyb; Elżbieta Jowik;
2020-06-16
942 words
reproducibility
magazines
Black-box VS White-box Duel
Bartłomiej Eljasiak; Konrad Komisarczyk; Mariusz Słapek;
2020-06-15
757 words
Interpretability
Machine Learning
XAI
Divide et Conquer - improve your white box model!
Paweł Koźmiński; Anna Urbala; Wojciech Szczypek;
2020-06-15
806 words
No tag
It is possible to measure reproducibility?
Jakub Pingielski; Paulina Przybyłek; Renata Rólkiewicz; Jakub Wiśniewski;
2020-06-15
379 words
ML
reproducibility
article rating
The R Journal
Hajada trials
Olaf Werner; Bogdan Jastrzębski;
2020-06-14
639 words
imputation
ML
OpenML
dataset
missings
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