Gachon Univ. SW 201735826 류창민
Best_Model is the main function
Best_Model is Semi-AUTO ML function
You have to put dataframe(After handling noise data), target column name as input of Best_Model function
variables in Best_Model
X - Predictor variables
y - target variable
X_cate - predictor variables that are Categorical values
X_nume - predictor variables that are Numeric values
df_cate_empty - boolean checker for if X_cate is empty or not
df_nume_empty - boolean checker for if X_nume is empty or not
In this function we will use 4 scalers - Standard Scaler, MinMaxScaler, MaxAbsScaler, RobustScaler
In this function we will use 2 encoders - Ordinal Encoder, OneHot Encoder
In this function we will use 4 Classifiers - DecisionTree Classifier(gini),
DecisionTree Classifier(entropy), Logistic Regression, Support Vector Machine(SVM)