营销分析：用 Python 预测客户流失
Mark Peterson
Director of Data Science, Infoblox
from sklearn.model_selection import train_test_split X_train, X_test, y_train, y_test = train_test_split(telco['data'], telco['target'], test_size=0.2, random_state = 42) from sklearn.svm import SVC svc = SVC() svc.fit(X_train, y_train) svc.predict(X_test)
from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(telco['data'], telco['target'], test_size=0.2, random_state = 42)
from sklearn.svm import SVC svc = SVC() svc.fit(X_train, y_train) svc.predict(X_test)
svc.score(X_test, y_test)
0.857
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