| import numpy as np
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| import joblib
|
|
|
|
|
| loaded_model = joblib.load("risk_model.pkl")
|
|
|
| print("=== Risk Bashorat Tizimi ===")
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|
|
|
|
| age = int(input("Yoshni kiriting: "))
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| income = float(input("Oylik daromadni kiriting: "))
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| debt = float(input("Qarz miqdorini kiriting: "))
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| job_years = float(input("Ish staji (yil): "))
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|
|
|
|
| sample = np.array([[age, income, debt, job_years]])
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|
|
|
|
| prediction = loaded_model.predict(sample)[0]
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| probability = loaded_model.predict_proba(sample)[0][1]
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|
|
|
|
| print("\n=== NATIJA ===")
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|
|
| if prediction == 1:
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| print("Risk yuqori bo‘lishi mumkin")
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| else:
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| print("Risk past")
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|
|
| print(f"Ehtimollik: {probability:.2f}")
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|
|
