From: Machine learning based efficient prediction of positive cases of waterborne diseases
Model | Accuracy | |
---|---|---|
Comparison of all algorithm results malaria dataset | ||
Decision tree algorithm Random forest algorithm Support vector machine algorithm Logistics Regression algorithm KNN algorithm | 0.5925 0.6003 0.586 0.5864 0.5948 | |
Comparison of all algorithms results typhoid dataset | ||
Decision tree algorithm Random forest algorithm Support vector machine algorithm Logistics Regression algorithm KNN algorithm | 0.6189 0.775 0.6095 0.6152 0.6155 |