solve bug scoring multiclas

code/bolsonaro/models/omp_forest_classifier.py

@@ -98,8 +98,7 @@ class OmpForestMulticlassClassifier(OmpForest):
         predictions = self.predict(X)
 
         if metric == 'indicator':
-            # todo corriger bug ici
-            evaluation = np.abs(np.mean(np.abs(np.sign(predictions) - y) - 1))
+            evaluation = np.sum(np.ones_like(predictions)[predictions == y]) / X.shape[0]
         else:
             raise ValueError("Unsupported metric '{}'.".format(metric))