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About 56% of a male group and 55% of a feminine group reported they have been non-Hispanic, white. About 20% of males. Females identified as Hispanic. The 2,651 variables had been included in the Minimum Redundancy Maximum Relevance (MRMR) feature choice course of. Five performance measures had been used: sensitivity, specificity, constructive predictive worth (PPV), unfavorable predictive worth (NPV), and receiver working characteristic (ROC). About 65% of respondents in every group graduated from high school and had some school associate diploma. 2,651) and the numbers of variables included were 27. Table three reveals the partial lists of the highest-ranked variables by MRMR in male and female groups. Table four shows the efficiency of the prediction models beginning with 0.5% of 2,651 variables. 0.9617) in a male group. Prediction models were constructed with less than 1% of the complete variables and their performances have been measured. 0.9600) in a feminine group. A mannequin with the perfect 1.2% of variables was considered as the perfect on this research because it had fewer minimum knowledge than a model with 1.3% variables for a feminine group.