Sometimes a single technique (decision trees, neural networks) are not sufficient to obtain the model that performs well. One option in this case would be comprised of a set of tools that can be used one after the other, comparing the results on the same data or unify the strengths of each method by combining PCB Library Managment results.
The data and the results of the search must be put in perspective of their context, and not to focus on the data, otherwise errors of interpretation may arise as well as loss of time and money.
It is impossible to use and interpret the results of a model outside the context in which it was constructed. Interpreting results based on similar but different cases is also due to errors, but it is not specific to the arguments related to data mining.