[source] # Error Analysis The Error Analysis report measures the differences between the predicted and target values of a regression problem using multiple error measurements (MAE, MSE, RMSE, MAPE, etc.) as well as statistics regarding the distribution of errors. **Estimator Compatibility:** Regressor ## Parameters This report does not have any parameters. ## Example ```php use Rubix\ML\CrossValidation\Reports\ErrorAnalysis; $report = new ErrorAnalysis(); $results = $report->generate($predictions, $labels); echo $results; ``` ```json { "mean absolute error": 0.8, "median absolute error": 1, "mean squared error": 1, "mean absolute percentage error": 14.02077497665733, "rms error": 1, "mean squared log error": 0.019107097505647368, "r squared": 0.9958930551562692, "error mean": -0.2, "error standard deviation": 0.9898464007663, "error skewness": -0.22963966338592326, "error kurtosis": -1.0520833333333324, "error min": -2, "error 25%": -1.0, "error median": 0.0, "error 75%": 0.75, "error max": 1, "cardinality": 10 } ```