Research Article
A Comparative Analysis of Business Machine Learning in Making Effective Financial Decisions Using Structural Equation Model (SEM)
| Demographic variables | Features | Frequency | Percent | Gender category | Male | 197 | 86.00 | Female | 32 | 14.00 |
| Age category | Less than 30 years | 66 | 28.80 | 31–40 years | 70 | 30.60 | 41–50 years | 30 | 13.10 | Above 50 years | 63 | 27.50 |
| Type of family currently living | Joint family | 119 | 52.00 | Nuclear family | 110 | 48.00 |
| Nature of industry | Banking companies | 141 | 61.60 | Financial and nonbanking companies | 88 | 38.40 |
| Management cadre | Lower level management | 62 | 27.10 | Middle level management | 134 | 58.50 | Process head | 33 | 14.40 |
| Total experience | Less than 3 years of experience | 60 | 26.20 | 4–8 years | 54 | 23.60 | 8–12 years | 32 | 14.00 | 12–16 years | 19 | 8.30 | Above 16 years | 64 | 27.90 |
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