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I have the following dataset:
Area,Consumer_profile,Product_category,Product_type,AC_1001_Issue,AC_1002_Issue,AC_1003_Issue,TV_2001_Issue,TV_2002_Issue,TV_2003_Issue,Claim_Value,Service_Centre,Product_Age,Purchased_from,Call_details,Purpose,Fraud,ID
Rural,Personal,Household,AC,0.0,1.0,2.0,0.0,0.0,0.0,4474.0,12.0,202.0,Manufacturer,30.0,Claim,0,7957.0
Urban,Personal,Entertainment,TV,0.0,0.0,0.0,1.0,1.0,1.0,25000.0,13.0,60.0,Dealer,1.3,Complaint,0,1396.0
Rural,Business,Household,AC,0.0,0.0,0.0,0.0,0.0,0.0,10000.0,12.0,3.0,Dealer,2.5,Claim,0,7582.0
Rural,Personal,Entertainment,TV,0.0,0.0,0.0,1.0,1.0,0.0,4216.0,10.0,672.0,Dealer,25.0,Other,0,5824.0
Rural,Business,Household,AC,0.0,0.0,0.0,0.0,0.0,0.0,20000.0,13.0,3.0,Manufacturer,6.5,Claim,0,4086.0
Urban,Personal,Entertainment,TV,0.0,0.0,0.0,0.0,1.0,1.0,4000.0,10.0,275.0,Dealer,11.0,Claim,0,6721.0
Rural,Business,Entertainment,TV,0.0,0.0,0.0,0.0,0.0,0.0,50000.0,12.0,10.0,Manufacturer,1.6,Claim,0,1185.0
Urban,Personal,Household,AC,0.0,2.0,1.0,0.0,0.0,0.0,13000.0,13.0,7.0,Manufacturer,1.6,Claim,0,3954.0
Urban,Business,Household,AC,1.0,0.0,0.0,0.0,0.0,0.0,10000.0,13.0,6.0,Dealer,1.4,Complaint,0,8820.0
Rural,Business,Entertainment,TV,0.0,0.0,0.0,0.0,0.0,0.0,25000.0,10.0,4.0,Dealer,0.5,Complaint,0,58231.0
.........
Urban,Personal,Entertainment,TV,0.0,0.0,0.0,0.0,0.0,0.0,10000.0,14.0,60.0,Dealer,1.4,Complaint,0,6689.0
Which is available here:
Everything worked fine during testing with postman. Here is my code:
from flask import Flask, request, jsonify
from flask_cors import CORS
import joblib
import traceback
import pandas as pd
import sys
app = Flask(__name__)
CORS(app)
@app.route('/predict', methods=['POST'])
def predict():
if model:
try:
json_ = request.json
print(json_)
query = pd.DataFrame(json_)
query = query.reindex(columns=model_columns)
"""
for col in numeric_features:
if query[col].isnull().any():
query[col].fillna(X[col].mean(), inplace=True)
"""
query = query.reindex(columns=model_columns, fill_value = 0)
probabilities = model.predict_proba(query)[:, 1] # Probabilidad de fraude
predictions = [1 if p >= 0.5 else 0 for p in probabilities]
response = [{"probability": float(prob), "fraud": int(pred)} for prob, pred in zip(probabilities, predictions)]
return jsonify(response)
except Exception as e:
return jsonify({'trace': traceback.format_exc()})
else:
print ('Train the model first')
return ('No model here to use')
if __name__ == '__main__':
try:
port = int(sys.argv[1])
except:
port = 12345
model = joblib.load("../Models/model.pkl")
model_columns = joblib.load("../Models/model_columns.pkl")
# numeric_features = joblib.load("../Models/numeric_features.pkl")
app.run(port = port, debug = True)
With this example data:
[
{
"Area": "Urban",
"Consumer_profile": "Personal",
"Product_category": "Entertainment",
"Product_type": "TV",
"AC_1001_Issue": 0.0,
"AC_1002_Issue": 0.0,
"AC_1003_Issue": 0.0,
"TV_2001_Issue": 1.0,
"TV_2002_Issue": 1.0,
"TV_2003_Issue": 0.0,
"Claim_Value": 25000.0,
"Service_Centre": 13.0,
"Product_Age": 60.0,
"Purchased_from": "Dealer",
"Call_details": 1.3,
"Purpose": "Complaint"
},
{
"Area": "Rural",
"Consumer_profile": "Commercial",
"Product_category": "Appliances",
"Product_type": "Washing Machine",
"AC_1001_Issue": 1.0,
"AC_1002_Issue": 0.0,
"AC_1003_Issue": 0.0,
"TV_2001_Issue": 0.0,
"TV_2002_Issue": 0.0,
"TV_2003_Issue": 0.0,
"Claim_Value": 15000.0,
"Service_Centre": 8.0,
"Product_Age": 24.0,
"Purchased_from": "Online",
"Call_details": 2.0,
"Purpose": "Repair"
}
]
I get the following output in Postman (It´s correct):
[
{
"fraud": 0,
"probability": 0.01
},
{
"fraud": 0,
"probability": 0.03923567770672705
}
]
But I´m trying to create a simple front end that can interact with my API and I´m not able to do it. This is mi code:
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Fraud Detection Form</title>
<style>
body { font-family: Arial, sans-serif; background-color: #f0f0f0; padding: 20px; }
h2 { text-align: center; }
form { background-color: #fff; padding: 20px; border-radius: 8px; box-shadow: 0 0 10px rgba(0,0,0,0.1); max-width: 600px; margin: 20px auto; }
label { display: block; margin: 10px 0 5px; }
input, select { width: 100%; padding: 8px; margin-bottom: 10px; }
button { background-color: #007BFF; color: #fff; padding: 10px; border: none; border-radius: 4px; cursor: pointer; }
button:hover { background-color: #0056b3; }
.result { margin-top: 20px; padding: 10px; border-radius: 4px; text-align: center; }
.fraud { background-color: #ff4d4d; color: white; }
.no-fraud { background-color: #4CAF50; color: white; }
</style>
</head>
<body>
<h2>Warranty Claim Fraud Detection</h2>
<form id="fraudForm">
<label for="area">Area:</label>
<select name="Area" id="area">
<option value="Urban">Urban</option>
<option value="Rural">Rural</option>
</select>
<label for="consumer_profile">Consumer profile:</label>
<select name="Consumer_profile" id="consumer_profile">
<option value="Personal">Personal</option>
<option value="Business">Business</option>
</select>
<label for="product_category">Product category:</label>
<select name="Product_category" id="product_category">
<option value="Entertainment">Entertainment</option>
<option value="Household">Household</option>
</select>
<label for="product_type">Product type:</label>
<select name="Product_type" id="product_type">
<option value="TV">TV</option>
<option value="AC">AC</option>
</select>
<label>AC 1001 Issue:</label>
<input type="number" name="AC_1001_Issue" step="0.1" value="0.2" required>
<label>AC 1002 Issue:</label>
<input type="number" name="AC_1002_Issue" step="0.1" value="1.5" required>
<label>AC 1003 Issue:</label>
<input type="number" name="AC_1003_Issue" step="0.1" value="1.0" required>
<label>TV 2001 Issue:</label>
<input type="number" name="TV_2001_Issue" step="0.1" value="1.7" required>
<label>TV 2002 Issue:</label>
<input type="number" name="TV_2002_Issue" step="0.1" value="1.0" required>
<label>TV 2003 Issue:</label>
<input type="number" name="TV_2003_Issue" step="0.1" value="0.8"required>
<label>Claim Value:</label>
<input type="number" name="Claim_Value" step="0.1" value="55555.0" required>
<label>Service Centre:</label>
<input type="number" name="Service_Centre" step="0.1" value="50.0" required>
<label>Product Age (months):</label>
<input type="number" name="Product_Age" step="0.1" value="890.0" required>
<label for="purchased_from">Purchased from:</label>
<select name="Purchased_from" id="purchased_from">
<option value="Manufacturer">Manufacturer</option>
<option value="Dealer">Dealer</option>
</select>
<label>Call Details:</label>
<input type="number" name="Call_details" step="0.1" value="0" required>
<label for="purpose">Purpose:</label>
<select name="Purpose" id="purpose">
<option value="Claim">Claim</option>
<option value="Complaint">Complaint</option>
</select>
<button type="submit">Submit</button>
</form>
<div id="result"></div>
<script>
document.getElementById('fraudForm').addEventListener('submit', async function(event) {
event.preventDefault();
const formData = new FormData(this);
const jsonData = [Object.fromEntries(formData.entries())];
try {
const response = await fetch('127.0.0.1:12345/predict', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify(jsonData)
});
if (!response.ok) throw new Error('Network response was not ok');
const data = await response.json();
const resultDiv = document.getElementById('result');
const result = data[0]; // El primer objeto de la lista de respuesta
if (result.fraud === 1) {
resultDiv.textContent = `Fraud detected with probability ${result.probability.toFixed(2)}`;
resultDiv.className = 'result fraud';
} else {
resultDiv.textContent = `No fraud detected with probability ${result.probability.toFixed(2)}`;
resultDiv.className = 'result no-fraud';
}
} catch (error) {
console.error('Error:', error);
const resultDiv = document.getElementById('result');
resultDiv.textContent = 'An error occurred while submitting the form. Please try again.';
resultDiv.className = 'result fraud';
}
});
</script>
</body>
</html>
I always get an error:
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