Add app.py, backend, requirements, ignore models folder

backend/train_model.py

@@ -80,11 +80,11 @@ def train_model():
     models = {
         "LogReg_L1": Pipeline([
             ("scaler", StandardScaler()),
-            ("clf", LogisticRegression(penalty="l1", solver="liblinear", max_iter=2000))
+            ("clf", LogisticRegression(penalty="l1", solver="liblinear"))
         ]),
         "LogReg_L2": Pipeline([
             ("scaler", StandardScaler()),
-            ("clf", LogisticRegression(penalty="l2", solver="lbfgs", max_iter=2000))
+            ("clf", LogisticRegression(penalty="l2", solver="lbfgs"))
         ]),
         "DecisionTree": DecisionTreeClassifier(random_state=42),
         "RandomForest": RandomForestClassifier(random_state=42),