diff --git a/cognoml/analysis.py b/cognoml/analysis.py
index 4906e39..f51904c 100644
--- a/cognoml/analysis.py
+++ b/cognoml/analysis.py
@@ -54,7 +54,6 @@ def classify(sample_id, mutation_status, **kwargs):
     obs_df['testing'] = obs_df.sample_id.isin(X_test.index).astype(int)
     
     pipeline.fit(X=X_train, y=y_train)
-    #cv_score_df = grid_scores_to_df(clf_grid.grid_scores_)
     
     predict_df = pd.DataFrame.from_items([
         ('sample_id', X_whole.index),
@@ -95,6 +94,12 @@ def classify(sample_id, mutation_status, **kwargs):
     performance['cv'] = {'auroc': round(clf_grid.best_score_, 5)}
     results['performance'] = performance
     
+    gs = collections.OrderedDict()
+    gs['mean_scores'] = utils.mean_grid_scores_to_df(clf_grid.grid_scores_)
+    gs['fold_scores'] = utils.grid_scores_to_df(clf_grid.grid_scores_)
+    gs = utils.value_map(gs, utils.df_to_datatables)
+    results['grid_search'] = gs
+    
     results['model'] = utils.model_info(clf_grid.best_estimator_)
 
     feature_df = utils.get_feature_df(clf_grid.best_estimator_, X.columns)
diff --git a/data/api/hippo-output.json b/data/api/hippo-output.json
index 48dddce..1d07303 100644
--- a/data/api/hippo-output.json
+++ b/data/api/hippo-output.json
@@ -32,6 +32,1269 @@
       "auroc": 0.62524
     }
   },
+  "grid_search": {
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+  },
   "model": {
     "class": "SGDClassifier",
     "module": "sklearn.linear_model.stochastic_gradient",