Questions tagged [concept-drift]
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11 questions
2 votes
0 answers
26 views
What is the state-of-the-art of learning on streaming and non-stationary data?
I am trying to understand what are some of the methods to learn on streaming non-stationary data? Some examples of such data include Fraud Detection, Salary Prediction from browsing habits etc. The ...
- 31
4 votes
3 answers
822 views
What techniques are used to analyze data drift?
I've created a model that has recently started suffering from drift. I believe the drift is due to changes in the dataset but I don't know how to show that quantitatively. What techniques are ...
- 701
0 votes
0 answers
106 views
How to visualize a data drift?
I want to show that my data distribution changes between data windows. Is it enough to visualize the mean and variance for every window? Is there any other solution? thank you
- 21
1 vote
1 answer
324 views
What are the advantages of model drift vs concept drift in online learning?
I have asked this question here but I'm also posting it here to get a better insight: https://stats.stackexchange.com/questions/602282/what-are-the-advantages-of-model-drift-vs-concept-drift-in-online-...
- 127
2 votes
1 answer
566 views
What is the differenc between Real concept drift, virtual concept drift and feature drift
As far as I know, the real concept drift is caused by changes in the decision boundary while virtual drift occurs because of changes in data distribution. Some researchers mention that virtual drift ...
- 21
8 votes
1 answer
6k views
What is the difference between Covariate Shift, Label Shift, Concept Shift, Concept Drift, and Prior Probability Shift?
As a beginner in MLOps, I was overwhelmed by some confusing definitions. As far as I understand, when we have a classifier or regressor with y = f(X) function: <...
1 vote
1 answer
47 views
How can you determine whether there is concept drift or whether a model is affecting the distribution of the target class?
Assume that I am building a churn prediction model, and I collect observational data of customers who registered in the last 12-18 months. Assume that 50% of customers churned. Customers who are ...
- 111
2 votes
0 answers
266 views
Detecting Data Drift in Audio Data
For a give set of audio files collected from an industrial process via a microphone, I have extracted suitable features and fed them into a neural network for training a binary classifier as depicted ...
- 4,429
2 votes
1 answer
117 views
Dealing with historic data drift
I'm trying to predict a continuous target in an industrial context. The problem I'm facing is that the some of the predictors have changed over time, for example the pressure in the machine was ...
- 21
3 votes
2 answers
453 views
Is it possible to detect drift with real time predictions?
I have been reading up on detecting data drift and concept drift, I have found this library but it seems all the methods here detect concept drift and take input as if the prediction was correct or ...
- 31
3 votes
2 answers
237 views
Predictive modeling when output affects future input
Assume I have a model which predicts the outcome of the number of icecreams sold in a store. The model is trained on data for the last 5 years while keeping the last year as a validation set and has ...
- 520