User cap

3 votes

Training and test split for time series analysis

answered Apr 11, 2019 at 22:37

3 votes

What's the best way to approach a regression problem with a lot of features (over 300), many of which are categorical?

answered Jun 25, 2019 at 9:31

3 votes

Big difference in randomTree accuracy with train and test sets

answered Nov 21, 2019 at 20:08

3 votes

Accepted

What do you call the ratio of positive to negative samples?

answered Dec 4, 2019 at 7:57

2 votes

Types of Machine Learning/Data Analysis

answered Nov 22, 2019 at 1:51

2 votes

Low accuracy in multi-class classification despite all data being generated from rules

answered Mar 23, 2019 at 22:19

2 votes

Accepted

Doubt on retrieving tweets for sentiment analysis?

answered Dec 11, 2019 at 20:54

1 vote

How to use a one-hot encoded nominal feature in a classifier in Scikit Learn?

answered Mar 26, 2019 at 6:16

1 vote

classification performance metric for high risk medical decisions

answered Apr 11, 2019 at 22:57

1 vote

How to display an Heat Map (using Tableau or other BI tool)?

answered Nov 22, 2019 at 15:02

1 vote

Create a new column in Pandas Dataframe based on the 'NaN' values in another column

answered Nov 23, 2019 at 22:43

1 vote

How do you predict a continuous variable when all your independent variables are categorical

answered Dec 4, 2019 at 17:39

1 vote

Accepted

Logistic regression threshold value

answered Dec 7, 2019 at 16:47

1 vote

How to find whether a dataset is blanced or imbalanced?

answered Oct 13, 2019 at 18:58

0 votes

What is the minimum requirement for the dataset for time series forecasting?

answered Nov 19, 2019 at 19:53

0 votes

Visualization for comparing the results of two different models

answered Oct 12, 2019 at 23:06

0 votes

Is ARIMA appropriate for time series prediction involving a mix of explanatory and independent variables?

answered Apr 11, 2019 at 22:13

0 votes

How do I use TF*IDF scores for my machine learning model?

answered Mar 24, 2019 at 5:58

-1 votes

Visualizing decision tree with feature names

answered Mar 23, 2019 at 22:09

Stack Exchange Network

19 Answers

Training and test split for time series analysis

What's the best way to approach a regression problem with a lot of features (over 300), many of which are categorical?

Big difference in randomTree accuracy with train and test sets

What do you call the ratio of positive to negative samples?

Types of Machine Learning/Data Analysis

Low accuracy in multi-class classification despite all data being generated from rules

Doubt on retrieving tweets for sentiment analysis?

How to use a one-hot encoded nominal feature in a classifier in Scikit Learn?

classification performance metric for high risk medical decisions

How to display an Heat Map (using Tableau or other BI tool)?

Create a new column in Pandas Dataframe based on the 'NaN' values in another column

How do you predict a continuous variable when all your independent variables are categorical

Logistic regression threshold value

How to find whether a dataset is blanced or imbalanced?

What is the minimum requirement for the dataset for time series forecasting?

Visualization for comparing the results of two different models

Is ARIMA appropriate for time series prediction involving a mix of explanatory and independent variables?

How do I use TF*IDF scores for my machine learning model?

Visualizing decision tree with feature names