Limitations of predictive analytics

 

Predictive analytics is a branch of data analytics that uses statistical algorithms and machine learning techniques to analyse historical data and make predictions about future events.


Limitations


Limitation 1: Data quality

One of the most significant limitations of predictive analysts is the quality of the data, predicative models rely on large, accurate and relevant datasets to produce their accurate predictions.


Limiitation 2: Overfitting

Another limitation of predictive analytics is overfitting. Overfitting occurs when a model is trained on a specific dataset and becomes too complex making it difficult to generalize to new data.


Limitation 3: changing conditions

Predictive analytics models are designed to predict future outcomes based on historical data. However, the future is inherently uncertain, and conditions can change quickly.


In conclusion
predictive analytics is a powerful tool that can help organizations make informed decisions and plan for the future

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