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2.5.1.4 F1-Score

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The F1-score is the harmonic mean of precision and recall. Below equation used to calculate the F1-score.


Figure 2.6 shows the F1-score 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. Table 2.5 shows the F1-Score comparison between the model-1 and model-2.

Table 2.5 F1-score of the model.

Health status Model 1 Model 2
F1-score:Phase-I F1-score:Phase-II F1-score:Phase-I F1-score:Phase-II
Sleep 94.50549 96.25668 95.08197 96.84211
Smoke 95.69892 96.84211 96.84211 97.89474
Drink 94.50549 97.3545 97.89474 98.94737
Screen 96.17486 96.80851 96.77419 97.3545
Calories 96.80851 98.4456 97.3262 98.96907

Figure 2.6 Recall: Model-I vs Model-II.

Machine Learning for Healthcare Applications

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