Plot sklearn RandomForestRegressor MSE

Question

Does anyone know of a way to plot the MSE of the trees from the random forest regressor in sklearn?

In R this is incredibly easy:

> fit = randomForest(y ~ X)
> plot(fit)

but I haven't found of a way to do this in python.

Answer 1

Like this:

from sklearn.metrics import mean_squared_error

mean_squared_error(y, predictions)

or using numpy:

np.mean((y_test - est.predict(X_test))**2)