Research on machine learning divorce prediction method
DOI:
https://doi.org/10.15381/risi.v16i1.23418Keywords:
divorce, prediction, method, simulationAbstract
The present investigation shows a list of important data for the prediction of divorce in machine learning. The model of the current repository is made, with 170 records and 54 variables, integer attribute type, with characteristics of the multivariate, univariate data set. The Rapid Miner program was obtained to process all the information, following the steps, as mentioned in the flowchart, see Figure 3, and the best method of the Decision Tree and Deep learning simulator was obtained. Where I throw the best 4% error result, it has better performance, less error and the determining algorithms are the variables that most influence the positive and negative.
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Copyright (c) 2023 Aurón Eduardo Mendoza Canales
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