User Craig

3 votes

How can I perform categorical encoding when the dataset is too large for memory?

answered Jan 6, 2020 at 14:15

3 votes

Accepted

How to use scikit metrics for a statsmodel or vice versa?

answered Jan 7, 2020 at 12:54

3 votes

Accepted

How to view entire 5788 rows and 7 columns.?

answered May 13, 2020 at 10:45

3 votes

Accepted

What could go wrong if I sample before classification?

answered Nov 19, 2021 at 21:32

2 votes

Dealing with unbalanced training set compared with real world data

answered Oct 8, 2021 at 12:15

2 votes

The Differences Between Weka Random Forest and Scikit-Learn Random Forest

answered Jan 5, 2022 at 9:58

2 votes

Linear Regression model underfitting

answered Jan 28, 2022 at 11:54

2 votes

Population Stability Index(PSI)

answered Jul 28, 2020 at 10:14

2 votes

Accepted

Can one property name be used twice in the same branch of a DecisionTreeRegressor?

answered Mar 12, 2020 at 10:12

2 votes

Model localization: one big model vs two small models

answered Oct 11, 2017 at 12:15

2 votes

Max depth for a decision tree in sklearn

answered Oct 13, 2017 at 19:08

2 votes

Accepted

forcing decision tree use specific features first

answered May 9, 2022 at 10:28

2 votes

Probability each day till payment

answered Aug 3, 2022 at 9:03

2 votes

Understanding log odds equation with multiple variables

answered Aug 4, 2022 at 12:40

2 votes

Accepted

Can I use hyperparameters obtained from tuning in R in the final model training in python?

answered Jul 28, 2022 at 9:34

2 votes

Can Gradient Descent boosted decision trees miss the forest for the trees?

answered Oct 28, 2022 at 12:23

1 vote

Incorrect example of applying Bayes theorem

answered May 8, 2022 at 19:50

1 vote

Accepted

What is the implication of having features with less variation in a tree based model?

answered Jul 28, 2022 at 9:49

1 vote

Distribution / number of examples

answered Aug 16, 2022 at 12:17

1 vote

Accepted

Is it possible to implement logistic regression (or any other ML method) to impute null values in a categorical feature with multiple values?

answered Aug 24, 2022 at 12:39

1 vote

Meassage "AUC-PR: the dataset only contains pos or neg samples"

answered Apr 18, 2022 at 12:17

1 vote

Accepted

Ordered categorical xlabel number - what to call xlabel

answered Feb 22, 2022 at 10:02

1 vote

Visualization of an Order Verified by Wilcoxon

answered Sep 17, 2019 at 17:58

1 vote

How to compensate for class imbalance in prediction model?

answered Feb 28, 2017 at 9:40

1 vote

How to select variables based on the mean correlation in a correlation matrix?

answered Feb 25, 2020 at 11:37

1 vote

How to measure model success in production

answered May 7, 2020 at 9:58

1 vote

Is there any reason not to use classification instead of regression when looking for ranges?

answered Sep 4, 2020 at 10:29

1 vote

Accepted

What if outliers still exist after variable transformation?

answered May 27, 2021 at 9:54

1 vote

How do I decide on my X and Y variables for the prediction of a coin toss?

answered Jun 23, 2021 at 12:03

1 vote

Logic Behind IQR Outlier Detection

answered Jan 4, 2022 at 11:59

Stack Exchange Network

54 Answers

How can I perform categorical encoding when the dataset is too large for memory?

How to use scikit metrics for a statsmodel or vice versa?

How to view entire 5788 rows and 7 columns.?

What could go wrong if I sample before classification?

Dealing with unbalanced training set compared with real world data

The Differences Between Weka Random Forest and Scikit-Learn Random Forest

Linear Regression model underfitting

Population Stability Index(PSI)

Can one property name be used twice in the same branch of a DecisionTreeRegressor?

Model localization: one big model vs two small models

Max depth for a decision tree in sklearn

forcing decision tree use specific features first

Probability each day till payment

Understanding log odds equation with multiple variables

Can I use hyperparameters obtained from tuning in R in the final model training in python?

Can Gradient Descent boosted decision trees miss the forest for the trees?

Incorrect example of applying Bayes theorem

What is the implication of having features with less variation in a tree based model?

Distribution / number of examples

Is it possible to implement logistic regression (or any other ML method) to impute null values in a categorical feature with multiple values?

Meassage "AUC-PR: the dataset only contains pos or neg samples"

Ordered categorical xlabel number - what to call xlabel

Visualization of an Order Verified by Wilcoxon

How to compensate for class imbalance in prediction model?

How to select variables based on the mean correlation in a correlation matrix?

How to measure model success in production

Is there any reason not to use classification instead of regression when looking for ranges?

What if outliers still exist after variable transformation?

How do I decide on my X and Y variables for the prediction of a coin toss?

Logic Behind IQR Outlier Detection