Python 中的欺诈检测
Charlotte Werger
Data Scientist
分类目标： 用已知欺诈样本训练模型，识别新的欺诈样本
示例：
待预测变量：$y \in {0,1} $
0：负类（"多数"正常样本）
1：正类（"少数"欺诈样本）
from sklearn.ensemble import RandomForestClassifier model = RandomForestClassifier(random_state=42) model.fit(X_train, y_train) predicted = model.predict(X_test) print (metrics.accuracy_score(y_test, predicted))
from sklearn.ensemble import RandomForestClassifier
model = RandomForestClassifier(random_state=42)
model.fit(X_train, y_train)
predicted = model.predict(X_test)
print (metrics.accuracy_score(y_test, predicted))
0.991324200913242
Preparing Video For Download...
