Model.plot_scree(ax=None, **style_kwds,)
Draws a decomposition scree plot.
ax : Matplotlib axes object
from verticapy.learn.decomposition import PCA model = PCA(name = "public.PCA_titanic") model.drop() model.fit("public.titanic",) model.plot_scree()
<AxesSubplot:xlabel='"dimensions"', ylabel='"percentage_explained_variance"'>