Working tree with samples and first test

main.py

@@ -0,0 +1,10 @@
+from trees.Stree import Stree
+from sklearn.datasets import make_classification
+
+random_state = 1
+X, y = make_classification(n_samples=1500, n_features=3, n_informative=3, 
+                    n_redundant=0, n_repeated=0, n_classes=2, n_clusters_per_class=2,
+                    class_sep=1.5, flip_y=0,weights=[0.5,0.5], random_state=random_state)
+model = Stree(random_state=random_state)
+model.fit(X, y)
+model.show_outcomes()