I am learning python and trying myself out at mashine learning. I am reproducing a super simple example - based on the infamous iris dataset. Here it goes:
from sklearn import datasets iris = datasets.load_iris() X = iris.data y = iris.target from sklearn.cross_validation import train_test_split X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = .5) from sklearn import tree nordan_tree = tree.DecisionTreeClassifier() nordan_tree.fit(X_train, y_train) from sklearn.metrics import accuracy_score
I get the following error message:
Traceback (most recent call last): File "tree3.py", line 17, in <module> print(accuracy_score(y_test, predictions)) NameError: name 'predictions' is not defined
I don't get it. As far as I understand,
predictions is the vector containing all the predictions produced with
DecisionTreeClassifier? What am I doing wrong?