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. 2018 Feb 13;19(2):218–229. doi: 10.1002/acm2.12283

Table 3.

The best feature combinations that yield the highest predictive accuracy of statistical models for heart toxicity‐based classification. Features that are consistently selected by all the models are bold

Nearest neighbors Linear SVM RBF SVM Decision Trees Random Forest Ada‐boost Naive Bayes Linear DA Quadratic DA
Selected Features VolB VolB VolB VolB VolB VolB VolB VolB VolB
DisH‐B Thickness DisH‐B DisH‐B VolH
VolipsL
DisH‐B
Laterality
Thickness
Accuracy 0.83 0.77 0.83 0.73 0.77 0.73 0.83 0.83 0.93

VolB: Breast Volume; VolH: Heart Volume; VolipsL: IpsiLung Volume; DisH‐B: Distance between Breast and Heart; Thickness: Deep breath motion thickness variation.