Final answer:
The Individual explanations tool provides insights on the accuracy of predictions, importance of features, variations based on specific features, and statistics about the predictions. The correct answer is B.
Step-by-step explanation:
The Individual explanations tool provides several insights. It helps identify the number of records that were correctly predicted, which gives an indication of the accuracy of the predictions. It also highlights the importance of features in the prediction for a specific record. The tool can also show how the predictions vary depending on specific features. Lastly, it can provide statistics about the predictions, such as average and standard deviation.
The Individual explanations tool shows the importance of each feature in a prediction. Insights include understanding the regression line's slope, y-intercept, and fit to the data, analyzing residuals to identify outliers, and using the regression line to make predictions.
The Individual explanations tool provides insights into which features were the most important in the prediction for a specific record. This involves understanding the contribution of each feature to the decision made by the predictive model. For example, in the context of a regression analysis, the slope of the regression line indicates the average change in the dependent variable for each unit increase in the independent variable. The y-intercept denotes the expected value of the dependent variable when the independent variable equals zero.
Assessing how well the regression line fits the data involves looking at metrics such as the correlation coefficient and analyzing residuals, which are the differences between the observed values and the values predicted by the regression line. A large residual can indicate that a point is an outlier or an influential point, particularly if it deviates significantly from the trend denoted by the regression line.
For prediction purposes, once the regression equation is established and the significance of the correlation is confirmed, the model can be used to make educated guesses about the data, such as predicting the number of birds that might join a colony based on previous patterns.