@app.route('/boosted')
def boosted():

    input_sepal_len = request.args.get("sepal_len")
    input_sepal_width = request.args.get("sepal_width")
    input_petal_lengh = request.args.get("petal_lengh")
    input_petal_width = request.args.get("petal_width")

    if input_sepal_len:

        list_of_data_to_fit =  [
            float(input_sepal_len),
            float(input_sepal_width),
            float(input_petal_lengh),
            float(input_petal_width)
        ]

        predicted           =  boosted_model.predict(list_of_data_to_fit).tolist()
        # probabilities       =  boosted_model.predict_proba(list_of_data_to_fit).tolist()

        result = {
            "response": "ok",
            "predictions": predicted,
            # "score": boosted.score(df, y),
            # "probabilities": {flower: probabilities[0][index] for index, flower in enumerate(boosted.classes_.tolist())}
        }

    else:
        return "Please pass an input"

    return jsonify(result)