Predicting Cardiovascular Risks using Pattern Recognition and Data ...

Zoo SmallThis data contains 101 cases distributed in 7 categories and 18 attributes (15 Boolean, 2 numerical, and1 unique attributes). The results in Table 4.3 show the accuracy and error for 10 experiments withalternative randomised data sets for the KMIX algorithm. The average error is about 0.15 (0.84 ofaccuracy). This error result is similar to the results of Shehroz and Shri (2007) (0.166).Random experiments Accuracy ErrorRand0 0.90 0.10Rand1 0.75 0.25Rand2 0.90 0.10Rand3 0.82 0.18Rand4 0.90 0.10Rand5 0.88 0.12Rand6 0.81 0.19Rand7 0.84 0.16Rand8 0.87 0.128Rand9 0.80 0.198Average 0.84 0.15Std Deviation 0.05 0.05Table 4.3: 10 test results of Zoo data set in randomisation.Vote dataThe data set contains 435 records with 2 output classes labelled as 168 “republicans” and 267“democrats”. Table 4.4 shows the experimental results from 10 randomised data sets. Overall, theaccuracy is about 86%. The sensitivity rates are quite consistent (an average of 0.95) over theexperiments except in Rand0 (0.83). Figure 4.9 shows that although the experiments fluctuate insensitivity and specificity rates their accuracy and the error rates remain consistent.56