Random forest is an ensemble learning method in machine learning. We can use this method for classification or regression. We use random forests regressor to solve regression problems and random forests classifier to solve classification problems. In the case of a...
In one of our previous articles, we discussed linear regression. Linear regression is good if the target variable is linearly related to the features. But, if there are many features and the relation between the features and the target variable is non-linear, then we...
What is the K-Nearest Neighbors (KNN) algorithm? The k-nearest neighbors algorithm is a supervised learning method. The method can be used for solving regression or classification problems. The k-nearest neighbors regressor is used for solving regression problems and...
What is the classification report in machine learning? We can use the classification_report() function to calculate the classification report of a classification problem using the sklearn library in Python. The classification report outputs the precision, recall,...
What is an ROC Curve? An ROC curve plots the True Positive Rate (TPR) vs. the False Positive Rate (FPR) at various classification thresholds. Before we understand the ROC curve clearly, let’s try to understand a few terms. Let’s say the expected or actual output for a...
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