def run_experiment(pool_size, threshold, distance_method, X_train, pred_train, clf, X_test, y_test):
anchors = []
for i in range(pool_size):
astar = AStar(X_train.iloc[i], pred_train.iloc[i], X_train.iloc[:200], pred_train[:200], clf, threshold,
list(X_train.columns), distance_method=distance_method)
path = list(astar.astar(Anchor({}, list(X_train.columns))))
anchors.append((path[-1].anchor, pred_train.iloc[i]))
covered = 0
precise = 0
collisions = 0
for i in range(len(X_test)):
anchors_found = 0
for j in range(len(anchors)):
if is_relevant(X_test.iloc[i], anchors[j][0]) and anchors_found == 0:
covered += 1
anchors_found += 1
if anchors[j][1] == y_test.iloc[i]:
precise += 1
if is_relevant(X_test.iloc[i], anchors[j][0]) and anchors_found == 1:
collisions += 1
break
precision = precise / covered
coverage = covered / len(X_test)
return precision, coverage
