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    Optimal amout of training data for algorithm

    Optimal amout of training data for algorithm

    NewToThis
    Member

    Hello all!

    I read that too much training data can compromise the performance of AI just as too less can. I'm wondering if there is a way to find out the optimal amount of training data for the algorithm?

    I'm working with 3 classes and the standard temperature profile.

    Thank you!

    7 REPLIES 7

    BSTRobin
    Community Moderator
    Community Moderator

    Hi NewToThis, Adrián,

    If you use a new sensor, you need to run it for at least 24 hours to allow the sensor to stabilize before recording the data.
    Refer application note: https://www.bosch-sensortec.com/media/boschsensortec/downloads/application_notes_1/bst-bme688-an001....

    BME AI-Studio record data a few thins to keep in mind.png

    Hi again,

    unfortunately, that wasn't the question. I asked whether there is a way to find out the optimal amount/ total recording time of the data that I use to train the algorithm in AI studio.

    BSTRobin
    Community Moderator
    Community Moderator

    Hi NewToThis,

    In theory, longer recording time, larger sample size, and higher accuracy after training.

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