How to test and import a model form computer to test accuracy using Sklearn library

[Anldra12]

@jefsummers quite simple let suppose we want to check others types of data model instead of Iris data
How we import this model for the predictions for example look at the codes as follow
This an iris data set but replace this model

from sklearn.datasets import load_iris
iris = load_iris() 

I replace iris to other model how this will happen just for an example

from sklearn.datasets import  Cancer_df
 Cancer = load_ Cancer_df() 

After that we apply your proposed model
Two types of data - continuous and categorical
Four types of predictions, then -
Continuous -> Continuous - use linear regression (or similar)
Continuous -> Categorical - use logistic regression
Categorical -> Continuous - use ANOVA (analysis of variance)
Categorical -> Categorical - use chi square