Questions tagged [dummy-variables]
The dummy-variables tag has no usage guidance.
11
questions
1
vote
2answers
118 views
Obtaining consistent one-hot encoding of train / production data
I'm building an app that will require user input. Currently, on the training set, I run the following code, in which data is a pandas dataframe with a combination ...
0
votes
1answer
34 views
convert keywords in one column into several dummy columns
My dataframe has some free text fields named: {'title', 'description', 'location'}
I prepared this text column by: concatenating all into a new column, dropping ...
6
votes
3answers
266 views
How to give a higher importance to certain features in a (k-means) clustering model?
I am clustering data with numeric and categorical variables. To process the categorical variables for the cluster model, I create dummy variables. However, I feel like this results in a higher ...
1
vote
1answer
48 views
How Dummy Variables Should Be Modeled In A Linear Regression Model?
I've a cross sectional model where I want predict number of users that take specific service, to make it I've many variables but have specifically two nominal: isWorkday(0 or 1) and weeday(1,2,3,...,7)...
1
vote
1answer
36 views
caret dummyVars on unseen data
I created my dummy variables, trained my model and tested it as below:
...
2
votes
0answers
40 views
How to deal with a potencially multiple categorical variable
I'm build a model that has, as inputs, some categorical variables. I had already dealt with this sort of data before, and applied different techniques as creation of dummy variables and factor scoring....
0
votes
1answer
26 views
Can you apply PCA to part of your dataset?
I am working with kaggle dataset that has over 130 features composed of 116 categorical and 14 continuous features. I plotted the heatmap for the 14 continuous variables and found that most of them ...
2
votes
1answer
93 views
In which cases shouldn't we drop the first level of categorical variables?
Beginner in machine learning, I'm looking into the one-hot encoding concept.
Unlike in statistics when you always want to drop the first level to have k-1 dummies (...
0
votes
1answer
424 views
Using pandas get_dummies() on real world unseen data
I made a ML model, trained and tested it with my data containing categorical variables.
To create dummy variables I used pd.get_dummies() before the split.
I now ...
1
vote
0answers
45 views
Dummy variables for unseen data in R
I got the following problem: When I trained my model I created my dummy variables(before train-test split) in the following way:
...
3
votes
3answers
109 views
How to obtain original feature names after using one-hot encoding
This question is on an implementation aspect of sklearn DecisionTreeClassifier
How do I get the feature names ranked in descending order, from the feature_importances_ returned by the sklearn ...
