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Update app.py
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app.py
CHANGED
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@@ -16,7 +16,7 @@ def example1():
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def example2():
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model = pickle.load(open('
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input_model = [[41,2,2,0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0]]
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pred=model.predict(input_model)
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churn = "False"
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@@ -29,7 +29,7 @@ def example2():
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def example3():
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model = pickle.load(open('
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input_model = [[10,1.1,2,0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0]]
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pred=model.predict(input_model)
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churn = "False"
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@@ -41,7 +41,7 @@ def example3():
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def example4():
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model = pickle.load(open('
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input_model = [[7,0.8,5,0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0,0, 0, 1]]
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pred=model.predict(input_model)
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churn = "False"
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@@ -95,7 +95,7 @@ def greet(Total_Transaction, Total_Ct_Chng_Q4_Q1, Total_Relationship_Count, Educ
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input_model = [[Total_Transaction,Total_Ct_Chng_Q4_Q1,Total_Relationship_Count,educ, edud, edug, eduh, edup, eduu, ai120, ai40, ai60, ai80, ai0, msd, msm, mss,ctb, ctg, cts]]
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model = pickle.load(open('
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pred=model.predict(input_model)
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churn = "False"
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if pred[0] == 1:
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def example2():
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model = pickle.load(open('model.pkl', 'rb'))
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input_model = [[41,2,2,0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0]]
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pred=model.predict(input_model)
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churn = "False"
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def example3():
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model = pickle.load(open('model.pkl', 'rb'))
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input_model = [[10,1.1,2,0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0]]
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pred=model.predict(input_model)
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churn = "False"
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def example4():
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model = pickle.load(open('model.pkl', 'rb'))
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input_model = [[7,0.8,5,0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0,0, 0, 1]]
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pred=model.predict(input_model)
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churn = "False"
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input_model = [[Total_Transaction,Total_Ct_Chng_Q4_Q1,Total_Relationship_Count,educ, edud, edug, eduh, edup, eduu, ai120, ai40, ai60, ai80, ai0, msd, msm, mss,ctb, ctg, cts]]
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model = pickle.load(open('model.pkl', 'rb'))
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pred=model.predict(input_model)
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churn = "False"
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if pred[0] == 1:
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