Recognition of Food-Borne Pathogenic Bacteria by Raman Spectroscopy Based on Random Forest Algorithm

Number	Latin name
10869	Yersinia enterocolitica
10870	Klebsiella pneumoniae
21482	Salmonella enterica subsp. enterica serovarInfantis
21530	Escherichia coli EHEC O157:H7
21534	Shigella flexneri
21560	Cronobacter sakazakii
21600	Staphylococcus aureus
21617	Vibrio parahaemolyticus
22933	Acinetobacter baumannii
22956	Salmonella enterica subsp. enterica serovarTyphimurium
23794	Vibrio cholerae

Table 2. Work process of decision tree algorithm

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Table 2. Work process of decision tree algorithm

Decision tree algorithm
Input: sample X, sample numbers N, feature counts M
Output:Decision Tree model
X→for bagging∥processing X with bagging cycles
end for
while extracting n_try(n_try=N)→X_train do
M→m_try(m_try≪M)∥ random selection of m_try attributes
m_try→the best node
X→X_samples// build samples using Bootstrap
end while
for (i_tree=0; 1<i_tree≤N_tree; i_tree++)
∥ node splitting by optimal attributes to generate decision trees
end for
end procedure

Table 3. Process of algorithm used for prediction of food-borne pathogenic bacteria

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Table 3. Process of algorithm used for prediction of food-borne pathogenic bacteria

Food-borne pathogenic bacteria prediction algorithm
Input: sample X, training set X_train, test set X_test
Output: K trees, prediction result r
for all i = 1 to K do
while j≤N do
row_sample=row_sample+select $(X_{train})$
j++
end while
while stop condition not true do
col_sample-select $(ro w_{sample})$
split_Attribute-min{Gini(col_sample)}
∥ classification attributes are determined by the minimum Gini value
tree-AddNode $(split_Attribute)$
end while
leaf_node←node
end for
for all i-1 to K do
R_i=T_i_Predict $(D_{test})$
R=MostCommon(R_i)
end for
end procedure

Table 4. Accuracy of each model
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Table 4. Accuracy of each model
Model Accuracy /%
PCA + KNN(K-nearest neighbors) 88.19
PCA + logistic regression 88.25
PCA + SVM(support vector machines) 83.86
PCA + decision tree 82.63
PCA + RF(our) 91.36

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Qi Wang, Wandan Zeng, Zhiping Xia, Zhiping Li, Han Qu. Recognition of Food-Borne Pathogenic Bacteria by Raman Spectroscopy Based on Random Forest Algorithm[J]. Chinese Journal of Lasers, 2021, 48(3): 0311002

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