The major findings are: (1) pCR is associated with tumor stage, and tumor size and BPE, but not race, ethnicity, income quintile, and insurance status, (2) ER−/HER2+ has the highest pCR rate, followed by triple negative, ER+/HER2+ and ER+/HER2−, (3) all 4 machine learning models consistently rank ER+/HER2−, ER−/HER2+, radiographic tumor size, and BPE as top predictors of pCR (AUC = 0.74–0.76), (4) OS is associated with pCR status, tumor subtype, tumor stage, some MRI data, and insurance status, race and ethnicity. Here, ERBB2 is linked to neoplasm.