Machine Learning for Healthcare Applications. Группа авторов

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Machine Learning for Healthcare Applications - Группа авторов

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of the web application.

Health status Model 1 Model 2
Accuracy: Phase-I Accuracy: Phase-II Accuracy: Phase-I Accuracy: Phase-II
Sleep 90.54 93.64 91.54 94.64
Smoke 92.21 94.01 94.21 96.01
Drink 94.63 95.99 96.63 97.99
Screen 93.11 94.76 94.11 95.76
Calories 94.00 97.83 95.00 98.83
Bar chart depicts accuracy: Model-I vs Model-II.

       2.5.1.2 Precision

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

image

       2.5.1.3 Recall

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

image Bar chart depicts precision: Model-I vs Model-II.
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
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
Bar chart depicts recall: Model-I vs Model-II.

       2.5.1.4 F1-Score

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

image

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