Samane Shirahmadi, Saeed Bashirian, Ali Reza Soltanian, Akram Karimi-Shahanjarini, Farshid Vahdatinia
Effectiveness of theory-based educational interventions of promoting oral health among elementary school students
BMC public health
breast cancer common deadly type cancer world based machine learning algorithms xgboost random forest logistic regression knearest neighbor paper establishes different models classify predict breast cancer provide reference early diagnosis breast cancer recall indicates probability detecting malignant cancer cells medical diagnosis great significance classification breast cancer article takes recall primary evaluation index considers precision accuracy f1score evaluation indicators evaluate compare prediction effect model order eliminate influence different dimensional concepts effect model data standardized order find optimal subset improve accuracy model 15 features screened input model pearson correlation test knearest neighbor model uses crossvalidation method select optimal k value using recall evaluation index problem positive negative sample imbalance hierarchical sampling method used extract training set test set proportionally according different categories experimental results show different dataset division 8 2 7 3 prediction effect model different changes comparative analysis shows xgboost model established paper divides training set test set 8 2 better effects recall precision accuracy f1score 100 0960 0974 0980 respectively