I am solving this assignment using vectorization. Was wondering if the below implementation is correct? I am getting an error “Wrong output. Expected: 2.15510667 got: 1.8975454646678849”

```
def compute_cost(X, y, w, b, lambda_= 1):
"""
Computes the cost over all examples
Args:
X : (ndarray Shape (m,n)) data, m examples by n features
y : (array_like Shape (m,)) target value
w : (array_like Shape (n,)) Values of parameters of the model
b : scalar Values of bias parameter of the model
lambda_: unused placeholder
Returns:
total_cost: (scalar) cost
"""
m, n = X.shape
### START CODE HERE ###
# code removed
### END CODE HERE ###
return total_cost
```