Comments on: Predictive Maintenance: Predicting Machine Failure using Sensor Data with XGBoost and Python https://www.relataly.com/predictive-maintenance-predicting-machine-failure-with-python/10618/ The Business AI Blog Fri, 02 Feb 2024 12:54:40 +0000 hourly 1 https://wordpress.org/?v=7.0 By: shravya https://www.relataly.com/predictive-maintenance-predicting-machine-failure-with-python/10618/#comment-890 Fri, 02 Feb 2024 12:54:40 +0000 https://www.relataly.com/?p=10618#comment-890 could you suggest any ideas on areospace industry problems

]]> By: Alex Berns https://www.relataly.com/predictive-maintenance-predicting-machine-failure-with-python/10618/#comment-815 Sun, 12 Nov 2023 15:51:44 +0000 https://www.relataly.com/?p=10618#comment-815 Hey Florian,

sorry, I see that you have done the testing further above, my bad.
I believe that your model is still kinda condition based. I don’t think your model is telling the user ahead of time when a potential failure will occur.

Regards
Alex

]]> By: Alex Berns https://www.relataly.com/predictive-maintenance-predicting-machine-failure-with-python/10618/#comment-814 Sun, 12 Nov 2023 15:41:57 +0000 https://www.relataly.com/?p=10618#comment-814 Hi Florian,

I liked your article, however I don’t see where you have actually done the prediction testing with your actual test data. From my understanding the cross validation function automatically splits your data into train and validations portions so you can do the hyperparameter tuning. Once you are happy with the results of the crossvalidation you can finally check it one more time with your test data.

regards
Alex

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