Model | Count | Score HS_Polyp_Y | Score HS_Polyp_N | Classification |

Naïve Bayes | 17** | 27% | 73% | FN |

Naïve Bayes | 19 | 82% | 18% | FP |

Naïve Bayes | 50 | 10% | 90% | TN |

Naïve Bayes | 82 | 90% | 10% | TP |

Neural Network | 14†† | 22% | 78% | FN |

Neural Network | 17 | 83% | 17% | FP |

Neural Network | 52 | 11% | 89% | TN |

Neural Network | 85 | 90% | 10% | TP |

*False negatives using Naive Bayes model

†False negatives using Neural Network model

AUC, area under the curve; FN, false negative;FP, false positive;HS, home collected stool sample;HS_Polyp_N, Home Stool from subjects without polyps; HS_Polyp_Y, Home Stool from subjects with Polyps; Polyp_N, polyp-negative group;Polyp_Y, polyp-positive group;TN, true negative;TP, true positive.