Ppu = (USL - 50 percentile) / (99.865 percentile - 50 percentile) The smaller of these two is an estimate of Ppk. Ppk = Minimum ( Ppl, Ppu ) Note that this procedure will work with for process outputs that have normal distributions as well as those that have non-normal distributions, Weibull or otherwise. I hope this helps.
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X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42). And now we're ready to train the model. XGBoost classifier will do the job, so make sure to install it first (pip install...
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