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. 2021 Oct 22;2021:2376391. doi: 10.1155/2021/2376391

Table 4.

Threshold discriminative metric evaluation for show and no-show appointment prediction.

Algorithm Accuracy Precision Recall F1-score
Random forest 84.96% 80% 93% 86.25%
Decision tree 85.18% 82% 90% 86.42%
Logistic regression 85.35% 83% 89% 86.18%
XG Boost 76.69% 80% 83% 81.44%
Gradient boosting 73.53% 76% 77% 77.32%
Adaboost 70.46% 74% 72% 73.17%
SVM 67.09% 69% 74% 72.15%
Naive Bayes 63.98% 66% 70% 68.44%
SGD 67.14% 60% 84% 70.18%
Multilayer perceptron 80.93% 64% 77% 70.52%