Add RandomForestClassifier for Model Training and Prediction

[Mubashir-Ul-Hassan]

Implement a RandomForestClassifier to train a model and make predictions based on the given dataset. The code will use n_estimators=10 and random_state=15 to ensure reproducibility. After training, the model should predict the results on the test data, and the accuracy score will be calculated for performance evaluation.

Steps:

Train the model using RandomForestClassifier. Fit the model on x_train and y_train data. Predict the labels for x_test. Print the accuracy score comparing y_test and the predicted labels y_pred.

Tasks:

Implement the RandomForestClassifier code. Validate the model by calculating the accuracy score. Ensure reproducibility with random_state=15.

[VadisettyRahul]

I'm interested @Mubashir-Ul-Hassan please assign to me.

[Mubashir-Ul-Hassan]

@VadisettyRahul assign to you.