Formal evaluation could include testing the predictive capabilities of the models on observed data to see how effective and efficient the algorithms have been in reproducing data.” :
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The question is incomplete and vague. The requirement for the answer has not been given. So, I am giving an assumed answer.
If the question is what the above-given evaluation is called, then the answer is - In-sample forecast.
An in-sample forecast is a formal evaluation that involves testing of the capabilities of the algorithms or predictive models based on the observed data after data mining in order to see how efficient and how effectively the algorithms will reproduce the data. Based on the feedback, the results will be shared after the iterations are made to the updated algorithms.
If the question is what the above-given evaluation is called, then the answer is - In-sample forecast.
An in-sample forecast is a formal evaluation that involves testing of the capabilities of the algorithms or predictive models based on the observed data after data mining in order to see how efficient and how effectively the algorithms will reproduce the data. Based on the feedback, the results will be shared after the iterations are made to the updated algorithms.
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