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Results tagged with anomaly-detection
Search options not deleted user 134976
Anomaly detection refers to the problem of finding patterns in data that do not conform to expected behaviour. This is also known as outlier detection.
1 vote
Cross-validation for anomaly detection on time series data
I don't recommend k-fold for time series data, since you shouldn't be randomizing the inputs and the time series sequence must be preserved. However, you can do your own permutations of the training d …
- 431
1 vote
Anomaly Detection
This is a pretty simple example and I would not rely on ANY automatic detection algorithm until I manually looked at this or historical data and labelled data points as "unusual" according to some bus …
- 431
1 vote
How to compute threshold?
This is just one way of doing it. The example used a training set with a small amount of noise to calculate the maximum of the mean average error between a data point and the prediction as the thresho …
- 431