Sep-02-2017, 12:00 PM
Dear Python Pro's,
I am looking at python and machine learning.
One of the exercises is the following:
Using the fitted model
(Use y_test and X_test to compute the precision score.)
I am looking at python and machine learning.
One of the exercises is the following:
Using the fitted model
m
what is the macro precision score?(Use y_test and X_test to compute the precision score.)
print(m) SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0, decision_function_shape=None, degree=3, gamma='auto', kernel='rbf', max_iter=-1, probability=False, random_state=None, shrinking=True, tol=0.001, verbose=False)How do I approach this? What do I do with this fitted model since I dont have y_train and x_train.