kappa ----------------------------------------- :funcelse:`improvelib.metrics.`:funcname:`kappa`:funcelse:`(y_true, y_pred)` Compute Cohen's kappa. Uses `sklearn.metrics.cohen_kappa_score() `_. Used in :doc:`api_metrics_compute_metrics` and can be used directly. .. container:: utilhead: Parameters: **y_true** : np.ndarray Ground truth. **y_pred** : np.ndarray Predictions made by the model. .. container:: utilhead: Returns: **kappa** : float The computed Cohen's kappa. .. container:: utilhead: Example This function is called by :doc:`api_metrics_compute_metrics` which is called by :doc:`api_utils_compute_performance_scores`, which also saves the scores. You can use this function directly, for example during model training like so: .. code-block:: import improvelib.metrics as metr kappa_to_monitor = metr.kappa(y_true, y_pred)