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klara 2024-06-08 18:13:18 +02:00
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@ -100,10 +100,8 @@ The following two hypotheses were applied in this project:
1. Using ECG data, a classifier can classify the four disease groupings with an accuracy of 80%. 1. Using ECG data, a classifier can classify the four disease groupings with an accuracy of 80%.
The first hypothesis will be tested at the end of the Project...
Result: Result:
- coming soon... - For the first hypothesis, an accuracy of 83 % was achieved with the XGBoost classifier.
2. Sinus bradycardia occurs significantly more frequently in the 60 to 70 age group than in other age groups. 2. Sinus bradycardia occurs significantly more frequently in the 60 to 70 age group than in other age groups.