Delete lapse_model.pkl

lapse_model.pkl

@@ -1,25 +0,0 @@
-import pandas as pd
-import xgboost as xgb
-import pickle
-
-# Example dummy dataset
-data = {
-    "policy_term": [10, 15, 20],
-    "policy_age": [2, 5, 7],
-    "payment_mode_encoded": [0, 1, 2],
-    "communication_score": [0.3, 0.7, 0.5],
-    "lapse_label": [1, 0, 1]
-}
-df = pd.DataFrame(data)
-
-# Split features and label
-X = df[["policy_term", "policy_age", "payment_mode_encoded", "communication_score"]]
-y = df["lapse_label"]
-
-# Train model
-model = xgb.XGBClassifier()
-model.fit(X, y)
-
-# Save the model
-with open("lapse_model.pkl", "wb") as f:
-    pickle.dump(model, f)