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The recall of the model is calculated using the equation given below.

Figure 2.4 Precision: Model-I vs Model-II.

Table 2.3 Precision of the model.

Health status	Model 1	Model 2
Precision:Phase-I	Precision:Phase-II	Precision:Phase-I	Precision:Phase-II
Sleep	95.5555556	97.826087	95.6043956	97.8723404
Smoke	95.6989247	95.8333333	95.8333333	97.8947368
Drink	95.5555556	97.8723404	97.8947368	98.9473684
Screen	96.7032967	97.8494624	97.826087	96.8421053
Calories	97.3494624	97.9381443	97.8494624	98.9690722

Table 2.4 Recall of the model.

Health status	Model 1	Model 2
Recall:Phase-I	Recall:Phase-II	Recall:Phase-I	Recall:Phase-II
Sleep	93.4782609	94.7368421	94.5652174	95.8333333
Smoke	95.6989247	97.8723404	97.8723404	97.8947368
Drink	93.4782609	96.8421053	97.8947368	98.9473684
Screen	95.6521739	95.7894737	95.7446809	97.8723404
Calories	95.78941737	98.9583333	96.8085106	98.9690722

Figure 2.5 Recall: Model-I vs Model-II.

Table 2.4 shows the Recall comparison between the model-1 and model-2.

Figure 2.5 shows the Recall comparison between the two models which are proposed in this chapter and it is observed the model-II gives more accuracy than the model-I.