- Random Forest classification modeling was used to predict type of cancer (Malign / Banign) observed in patient
- Best Hyperparameters were found out using GridSearchCV and n_estimators (no. of Decision Trees in Random Forest) were found out using OOB (Out Of Bag) Error Rate.
- Classification Modelling Performance metrices like Accuracy, Precision, Recall and F1 Score were used to evaluate the model's performance.
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Random Forest classification modeling was used to predict type of cancer (Malign / Benign) observed in patient.
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