Questions tagged [scaling]
5 questions
2
votes
2 answers
Splitting and scaling of ML training and test data
I gather you are supposed to split data into training and test before you scale/shift to avoid data leakage. The issue I have with this is how do you cope with values in the test set that are outside of the range of those in the training set?…
BillyBob123
- 23
- 3
1
vote
1 answer
Combining standardizing and normalizing my input data for ML gives the best results, why?
When I combine standardizing and normalizing my input data for my hybrid ANN model, it gives the best results.
But I can't find anywhere, why. I based it on a paper's approach but they don't justify their practice either. Anyone knows…
Mia May
- 11
- 2
1
vote
1 answer
Should normalization be applied on interaction feature
I am working with interaction features in my machine learning model, where I create new features by multiplying a numeric variable with an encoded categorical feature. My question is:
Should normalization be applied to these interaction terms? If…
Harshit Goyal
- 11
- 2
1
vote
1 answer
Time series Data Scaling - per individual or combined?
I have data on many cars over time (a few years per car)
I am planning on creating a model for all the cars combined (not one model per car).
Do I want to scale the data (Normalize / Standardize) per car or for all the cars combined?
e.g.
If…
Joshua
- 135
- 4
0
votes
1 answer
Scaling and handling highly correlated features in tabular data for regression
I am working on a regression problem trying to predict a target variable with seven predictor variables. I have a tabular dataset of 1400 rows. Before delving into the machine learning to build a predictor, I did an EDA(exploratory data analysis)…
hAcKnRoCk
- 101
- 2