MODEL_METRICS#

Python object: phenotypic.schema._model_metrics.MODEL_METRICS

Generic fit-quality metrics and diagnostics shared by all ModelFitter subclasses.

These columns are produced by any model fitter that wraps scipy.optimize.least_squares, independent of the specific mathematical model. Subclass-specific fitted parameters live in the subclass’s own MeasurementInfo class (e.g., LOG_GROWTH_MODEL).

Category: ModelMetrics#

Column label

Description

ModelMetrics_MAE

The mean absolute error

ModelMetrics_MSE

The mean squared error

ModelMetrics_RMSE

The root mean squared error

ModelMetrics_R2

The coefficient of determination

ModelMetrics_NumSamples

The number of samples used for model fitting

ModelMetrics_OptimizerLoss

The loss of model fitting

ModelMetrics_OptimizerStatus

The output of the optimizer status