def evaluate_model()

in Python/length_of_stay_utils.py [0:0]

• 19 lines of code
• 1 McCabe index (conditional complexity)

def evaluate_model(observed, predicted, model):
    mean_observed = np.mean(observed)
    se = (observed - predicted)**2
    ae = abs(observed - predicted)
    sem = (observed - mean_observed)**2
    aem = abs(observed - mean_observed)
    mae = np.mean(ae)
    rmse = np.sqrt(np.mean(se))
    rae = sum(ae) / sum(aem)
    rse = sum(se) / sum(sem)
    rsq = 1 - rse
    metrics = OrderedDict([ ("model_name", [model]),
				("mean_absolute_error", [mae]),
                ("root_mean_squared_error", [rmse]),
                ("relative_absolute_error", [rae]),
                ("relative_squared_error", [rse]),
                ("coefficient_of_determination", [rsq]) ])
    print(metrics)
    return(metrics)