There can be many reasons why this might happen; in our case, if we make all the columns as input and try to generate the data mining structure, it will definitely take a long time because there will be a large number of trees or clusters to be generated depending on the algorithm that we are using. We will discuss a few of the commonly used algorithms and the parameters that can be altered to improve the processing performance.
The information that is required to classify data will proportionately increase with the increase in the input values. Therefore, there is a need to optimize the performance. The performance can be optimized by the following aspects:
Reducing the number of inputs
While grouping the items into bins, group only those values that provide the maximum information
We want to reduce the tree growth while trying not to lose the consistency and accuracy of the model. The following parameters help...