From: Supervised machine learning predictive analytics for alumni income
ID | Pattern | Support by Class | Confidence | |
---|---|---|---|---|
Low | High | |||
CP1 | IF Age_bin != ’<28’ AND School != ’School_Other’ AND Curr_Emp != ’CurrE_Employee’ THEN Class = ’High’ | 0.32 | 0.74 | 0.64 |
CP2 | IF Age_bin != ’<28’ AND Curr_Emp != ’CurrE_Employee’ AND Gender = ’M’ THEN Class = ’High’ | 0.21 | 0.61 | 0.70 |
CP3 | IF People_in_Charge != ’0’ AND Curr_Emp != ’CurrE_Employee’ AND Age_bin != ’<28’ THEN Class = ’High | 0.3 | 0.7 | 0.66 |