Create lapse_model.pkl

lapse_model.pkl

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+from xgboost import XGBClassifier
+from sklearn.model_selection import train_test_split
+import pandas as pd
+import pickle
+
+# Example dataset
+df = pd.read_csv("lapse_training_data.csv")
+
+X = df[["policy_term", "policy_age", "payment_mode_encoded", "communication_score"]]
+y = df["lapse_label"]
+
+model = XGBClassifier()
+model.fit(X, y)
+
+# Save model
+pickle.dump(model, open("lapse_model.pkl", "wb"))