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Do you think cats are fat

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Top Questions
24 votes

Were more whites slaves brought to North Africa than black slaves were brought to the United States?

history slavery asked Jun 13, 2020 at 19:45
skeptics.stackexchange.com

17 votes

Is Kaggle's private leaderboard a good predictor of out-of-sample performance of the winning model?

model-selection overfitting out-of-sample asked Jun 8, 2017 at 10:21
stats.stackexchange.com

11 votes

Is autocorrelation in a supervised learning dataset a problem?

time-series random-forest autocorrelation supervised-learning nonlinear asked Jul 26, 2017 at 9:44
stats.stackexchange.com

10 votes

Linear regression with overlapping observations

time-series least-squares linear-model robust-standard-error overlapping-data asked Aug 15, 2017 at 8:44
stats.stackexchange.com

10 votes

Cumulative apply within window defined by other columns

python pandas asked Nov 12, 2018 at 15:25
stackoverflow.com

7 votes

Gradient boosting - extreme predictions vs predictions close to 0.5

classification cart boosting xgboost asked May 9, 2017 at 8:15
stats.stackexchange.com

7 votes

A shoe in the safe

lateral-thinking asked Nov 6, 2019 at 15:32
puzzling.stackexchange.com

6 votes

XGBoost feature subsampling

classification overfitting hyperparameter bagging xgboost asked May 15, 2017 at 10:00
stats.stackexchange.com

6 votes

How to identify if a problem is a good candidate for applying machine learning?

machine-learning supervised-learning asked Jun 11, 2018 at 13:39
stats.stackexchange.com

5 votes

Finding most similar training samples for a given ML model output

machine-learning interpretation xgboost model-interpretation asked Jul 20, 2018 at 9:10
stats.stackexchange.com

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Top Answers
137
What reasons are there for a Capitalist to oppose a 100% inheritance tax?
politics.stackexchange.com

31
How do I explain the reasons behind protesting and rioting to my children?
parenting.stackexchange.com

20
What is the need of assumptions in linear regression?
stats.stackexchange.com

16
Industry vs Kaggle challenges. Is collecting more observations and having access to more variables more important than fancy modelling?
stats.stackexchange.com

14
Average precision vs precision
stats.stackexchange.com

13
Biased Data in Machine Learning
stats.stackexchange.com

13
A huge gap between training and validation accuracy, confusion with the concept of Overfitting
stats.stackexchange.com

12
Difference between Pearson's r ~= 0 and p > 0.05
stats.stackexchange.com

11
Difference between preprocessing train and test set before and after splitting
stats.stackexchange.com

8
Determining variance from sum of two random correlated variables
math.stackexchange.com

7
Train vs Test Error Gap and its relationship to Overfitting : Reconciling conflicting advice
stats.stackexchange.com

6
urn with two colors of balls; probability of selecting specific color
stats.stackexchange.com

6
Machine learning on non-fixed-length sequential data?
stats.stackexchange.com

5
Understanding the solution of a riddle about lions and sheep.
math.stackexchange.com

5
Can I use lasso when it is not a high dimensional setting?
stats.stackexchange.com

5
Statistical Test Evaluation?
stats.stackexchange.com

5
Hyper Parameter Tuning for Unbalanced Data
stats.stackexchange.com

5
Oversampling: whole set or training set
stats.stackexchange.com