Matlab部分程式碼：

Data_prediction = load('lichen\Pima-prediction-set.txt');

Data_train = load('lichen\Pima-training-set.txt');

training_data = Data_train(:,1:8);

training_label = Data_train(:,9);

prediction_data = Data_prediction(:,1:8);

prediction_label = Data_prediction(:,9);

nb=NaiveBayes.fit(training_data,training_label);

predict_label1=predict(nb,training_data);

training_accuracy=length(find(predict_label1==training_label))/length(training_label)

首先通過對一個數據集Pima-training-set.txt 進行訓練學習，然後再去預測Pima-prediction-set.txt資料集中的結果，再與原有的正確答案進行比較，算出精確度。

資料集在網盤的blog目錄下