Use sklearn.datasets iris flower dataset to train your model using $(1)$ Logistic regression. You need to figure out $(2)$ accuracy of your model and use that to $(3)$ predict different samples in your test dataset. Present the $(4)$ confusion matrix and the $(5)$ heatmap.

$$In iris dataset there are $150$ samples containing following features,

$1.$Sepal Length

$2.$Sepal Width

$3.$Petal Length

$4.$Petal Width