Probability Calibration For Machine Learning in Python

Ғылым және технология

In this video we learn about probability calibration and calibrated classifiers in Scikit-Learn and Python.
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Пікірлер: 10

  • @meghaanchliya1333
    @meghaanchliya13335 ай бұрын

    Relly nice must watch

  • @tecnom7133
    @tecnom71335 ай бұрын

    Nice topic Thanks man

  • @franky12
    @franky124 ай бұрын

    There are also some other ML parameters, that can be used to calibrate classification models, especially "sample_weights" and "class_weights"

  • @thechen6985
    @thechen69854 ай бұрын

    Is the repository somewhere online?

  • @josetorres1221
    @josetorres12215 ай бұрын

    Appreciate you covering niche topics like this. Can I ask how you came across this topic?

  • @NeuralNine

    @NeuralNine

    5 ай бұрын

    I had to use LIME to explain a LinearSVC and the library needed the predict_proba method for this to work.

  • @christiansetzkorn6241

    @christiansetzkorn6241

    3 ай бұрын

    I would dare to say it is not or at least should not be a niche dataset. Unless you only care about discrimination then use AUC.

  • @christiansetzkorn6241
    @christiansetzkorn62413 ай бұрын

    Shouldn't you really also have a calibration hold out dataset?!

  • @geekygeckoadi
    @geekygeckoadi5 ай бұрын

    Nice bro

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