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Home
Python 3
Training the Logistic Regression Model

Training the Logistic Regression Model

Training the Logistic Regression Model
Create the Model
Train the Model
Explanation

Training the Logistic Regression Model

Training is the process where the machine learning model learns patterns from the training dataset. The model analyzes the TF-IDF features along with their corresponding labels to identify characteristics of fake and genuine reviews.

Create the Model

model = LogisticRegression(random_state=42)

Train the Model

model.fit(X_train, y_train)

Explanation

The fit() method trains the Logistic Regression model using:

X_train → TF-IDF feature vectors
y_train → Review labels

Once training is complete, the model is ready to classify new reviews.

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Training the Logistic Regression Model

Contents

Training the Logistic Regression Model

Create the Model

Train the Model

Explanation

Fake Review Detection System using Machine Learning

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