criticalDanger
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041cd7b
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df62751
Delete model.py
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model.py
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import pandas as pd
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from sklearn.model_selection import train_test_split
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from sklearn.linear_model import LogisticRegression
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from sklearn.metrics import accuracy_score
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import matplotlib.pyplot as plt
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import seaborn as sns
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from sklearn.metrics import confusion_matrix
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from sklearn.metrics import classification_report
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data=pd.read_csv('HeartDisease.csv')
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print(data)
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non_numeric_features = data.select_dtypes(include=['object']).columns.tolist()
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print(non_numeric_features)
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