All Questions
Tagged with moving-window classification
6 questions
1
vote
2
answers
804
views
How to analyse results of classification for time series + sliding windows
Here is my context:
I have a time series composed of only 1 features. I want to be able to classify between two classes. To get more information out of these data, I am using a sliding time windows.
...
1
vote
2
answers
944
views
Cross Validation for Time Series Classification (Not Forecasting!)
Is it possible to use regular k-fold cross validation where the folds contain entire time series in time series classification? I'm asking because most sources discussing cross validation with time ...
5
votes
0
answers
690
views
Predict churn in a range of time after observation window is finished
I'm building a churn model. Each user's historic data (observation window) is a constant period, but each observation window contains different dates.
For example the next figure:
Let's say, that the ...
1
vote
0
answers
350
views
what is it an activity window in churn model?
I know that in a churn model many times you define an observation window (historic data) and a performance window (also dependent window, or response window).
I have read an article that the authors (...
1
vote
0
answers
748
views
How to make predictions on sliding window?
I need help understanding how to construct sliding windows as well as how to perform final prediction. Any help is appreciated!
I have a dataset from sensing data with multiple features aggregated ...
2
votes
2
answers
1k
views
Supervised learning: setting labels on sliding windows of sensor data
Suppose that I have a set of accelerometer data collected with one sensor and one label for each measured data point. These labels describe different states of my system e.g., $state_A, state_B, ...