Test and tune your impulse with realistic data
Clone this project to run performance calibration.
Select and save a config
Your impulse can be configured with a post-processing algorithm that will minimize either false activations or false rejections. The chart shows a range of suggested configs. If you save one, it will be used when your impulse is deployed.
Suggested config Saved config
Mean FAR : %
Mean FRR : %
Averaging window duration : ms
Detection threshold :
Suppression period : ms
Shows the performance statistics for each label.
|Label||FAR||FRR||True positives||False positives||True negatives||False negatives|
Results for selected config
Shows any errors your impulse makes on a sample of data.
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