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Table 1 Evaluation metrics of bi-stream CNN and conventional machine learning models

From: Bi-stream CNN Down Syndrome screening model based on genotyping array

Models Evaluation metrics of different models
  Accuracy Precision Recall F-score False-positive rate False-negative rate
Decision tree 96.9(+-1.0)% 94.1% 95.4% 94.6% 2.2% 8.0%
Random forest 97.1(+-0.7)% 94.4% 94.9% 94.7% 1.9% 8.1%
SVM 96.7(+-0.9)% 92.7% 95.9% 94.2% 2.9% 5.3%
Bi-Stream CNN 99.3(+-0.4)% 99.2% 98.4% 99.3% 0.6% 1.1%