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Sleeping
Surbhi
commited on
Commit
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295702b
1
Parent(s):
1ed90b8
Fix name error
Browse files
app.py
CHANGED
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@@ -66,6 +66,16 @@ dataset_mapping = {
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dataset_path = dataset_mapping.get(problem, "datasets/spam_detection.csv")
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df = pd.read_csv(dataset_path)
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# Generated AI Code
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generated_code = f"""
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# AI Model Code
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@@ -149,15 +159,6 @@ if task == "Classification":
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smote = SMOTE()
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X_train, y_train = smote.fit_resample(X_train, y_train)
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# Model Initialization
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model_mapping = {
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"KNN": KNeighborsClassifier() if task == "Classification" else KNeighborsRegressor(),
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"SVM": SVC() if task == "Classification" else SVR(),
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"Random Forest": RandomForestClassifier() if task == "Classification" else RandomForestRegressor(),
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"Decision Tree": DecisionTreeClassifier() if task == "Classification" else DecisionTreeRegressor(),
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"Perceptron": Perceptron()
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}
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model_instance = model_mapping[model]
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# Train Model
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dataset_path = dataset_mapping.get(problem, "datasets/spam_detection.csv")
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df = pd.read_csv(dataset_path)
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# Model Initialization
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model_mapping = {
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"KNN": KNeighborsClassifier() if task == "Classification" else KNeighborsRegressor(),
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"SVM": SVC() if task == "Classification" else SVR(),
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"Random Forest": RandomForestClassifier() if task == "Classification" else RandomForestRegressor(),
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"Decision Tree": DecisionTreeClassifier() if task == "Classification" else DecisionTreeRegressor(),
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"Perceptron": Perceptron()
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}
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# Generated AI Code
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generated_code = f"""
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# AI Model Code
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smote = SMOTE()
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X_train, y_train = smote.fit_resample(X_train, y_train)
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model_instance = model_mapping[model]
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# Train Model
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