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...
What are precision and recall in machine learning? In a classification problem, precision and recall are two metrics using which we can measure the performance of the machine learning model. We know that: True Positives (TP): True positives are those output labels...
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