CVGRIDSEARCH IN ML

Question

while trying to carry out ML prediction on COVID-19 data ran to tthe problem. Any help The code used # define models and parameters model = LogisticRegression() solvers = ['newton-cg', 'lbfgs', 'liblinear'] penalty = ['l2'] c_values = [100, 10, 1.0, 0.1, 0.01, 0.001]

# define grid search
grid = dict(solver=solvers, penalty=penalty, C=c_values)
cv = RepeatedStratifiedKFold(n_splits=10, n_repeats=3, random_state=1)
grid_search =  GridSearchCV(estimator=model, param_grid=grid, n_jobs=-1, cv=cv, 
                       scoring='accuracy',error_score=0, iid=True)
grid_result = grid_search.fit(X_train, y_train)

# summarize results
print(f"Best: {grid_result.best_score_:.3f} using {grid_result.best_params_}")


TypeError: __init__() got an unexpected keyword argument 'iid'


# define models and parameters
model = LogisticRegression()
solvers = ['newton-cg', 'lbfgs', 'liblinear']
penalty = ['l2']
c_values = [100, 10, 1.0, 0.1, 0.01, 0.001]

# define grid search
grid = dict(solver=solvers, penalty=penalty, C=c_values)
cv = RepeatedStratifiedKFold(n_splits=10, n_repeats=3, random_state=1)
grid_search =  GridSearchCV(estimator=model, param_grid=grid, n_jobs=-1, cv=cv, 
                       scoring='accuracy',error_score=0, iid=True)
grid_result = grid_search.fit(X_train, y_train)

# summarize results
print(f"Best: {grid_result.best_score_:.3f} using {grid_result.best_params_}")

The error output TypeError: init() got an unexpected keyword argument 'iid'

Answer 1

try removing 'iid=True' from all places