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Table 2 Evaluation metrics shown by different models on predicting outpatients no-show using 70/30 holdout method

From: Predictors of outpatients’ no-show: big data analytics using apache spark

  Accuracy Precision Recall F-measure ROC Area
Random Forest 0.76 0.76 0.76 0.68 0.77
Gradient Boosting 0.79 0.77 0.79 0.76 0.81
Logistic Regression 0.75 0.73 0.75 0.70 0.73
SVM 0.73 0.70 0.73 0.62 0.73
Multilayer Perceptron 0.77 0.75 0.77 0.72 0.78