Machine Learning for SQL: train, deploy, score your models using SQL...

CREATE TABLE customers (    id                NUMBER  PRIMARY KEY,    children          NUMBER,    age               NUMBER,    gender            CHAR(1),    salary            NUMBER,    married           CHAR(1),    will_buy_an_house NUMBER);-- Inserting a very small data set to train -- the machine learning model...INSERT INTO customers VALUES (1,0,20,'F',1200,'N',0);INSERT INTO customers VALUES (2,3,48,'M',2800,'N',0);INSERT INTO customers VALUES (3,1,33,'F',2500,'Y',1);INSERT INTO customers VALUES (4,2,37,'F',1800,'Y',1);INSERT INTO customers VALUES (5,0,52,'M',2000,'Y',0);INSERT INTO customers VALUES (6,1,61,'M',1700,'Y',0);COMMIT;SELECT * FROM customers; ID  CHILDREN  AGE  GENDER  SALARY  MARRIED  WILL_BUY_AN_HOUSE--- --------- ---- ------- ------- -------- ------------------  1         0   20       F    1200        N                  0  2         3   48       M    2800        N                  0  3         1   33       F    2500        Y                  1  4         2   37       F    1800        Y                  1  5         0   52       M    2000        Y                  0  6         1   61       M    1700        Y                  0-- Configuration...CREATE TABLE config (    setting_name  VARCHAR2(30),    setting_value VARCHAR2(4000));-- Neural Network algorithm for classificationINSERT INTO config VALUES ('ALGO_NAME', 'ALGO_NEURAL_NETWORK');-- Automatic data preparation: enabled!INSERT INTO config VALUES ('PREP_AUTO','ON');COMMIT;-- Now training...BEGIN    DBMS_DATA_MINING.CREATE_MODEL(        model_name          => 'NN_Classification',        mining_function     => DBMS_DATA_MINING.classification,        data_table_name     => 'customers',        case_id_column_name => 'id',        target_column_name  => 'will_buy_an_house',        settings_table_name => 'config'     );END;/PL/SQL procedure successfully completed.Elapsed: 00:00:00.742-- Likely to buy an house?SELECT 100 *        PREDICTION_PROBABILITY(NN_Classification,               1 USING              43 AS age,               2 AS children,             'M' AS gender,            2300 AS salary,             'Y' AS married) AS probability_to_buy_an_house  FROM dual;              PROBABILITY_TO_BUY_AN_HOUSE             ----------------------------                        79.05203574218477