We can use the Extra Trees to get the feature importances of various features of a dataset. These feature importances are impurity-based feature importances. Please note that impurity-based feature importances are strongly biased. They favor numerical features over...
What is linear regression? Linear regression tries to find a linear relationship between the predictor variables or the features and the target variable. The target variable is the dependent variable here and the features or the predictor variables are the independent...
What is linear regression? Linear regression tries to find a linear relationship between the predictor variables or the features and the target variable. The target variable is the dependent variable here and the features or the predictor variables are the independent...
Let’s say a dataset has n number of features. Now, we may not need all the features to run a machine learning model. If we have more than the necessary features, then that can lead to inefficient inferences or increase the training time of the machine learning model....
What is the F1 score in machine learning? In our previous article, we discussed what precision and recall are in machine learning and how to calculate precision and recall scores using the sklearn Python library. The F1 score is the harmonic mean of precision and...
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