Data update

Task/Diversity-prediction-theorem/Python/diversity-prediction-theorem-1.py

@@ -0,0 +1,15 @@
+def mean(lst):
+    return sum(lst)/len(lst)
+
+def squarediffs(x, lst):
+    return [(x-y)**2 for y in lst]
+
+def diversityprediction(obs, ests):
+    print("True value:", obs)
+    print("Estimates:", *ests)
+    print("Average error:", mean(squarediffs(obs, ests)))
+    print("Crowd error:", (obs-mean(ests))**2)
+    print("Prediction diversity:", mean(squarediffs(mean(ests), ests)))
+
+diversityprediction(49, [48, 47, 51])
+diversityprediction(49, [48, 47, 51, 42])