a modle for diagnosis "breast cancer" which all common Data sciences and machine learning pipeline
the best estimator when using the all features
is SVC(C=0.08, gamma=1000, kernel='linear') with score 98%
the best estimator when using PCA
with 4 components is KNeighborsClassifier(n_neighbors=11) with score 95%
so with this practice, we can figure out which after dimensionality reduction, the model accuracy becomes lower.