Following Dr. Sam Wang from the Princeton Electoral Consortium, I have ranked the different models using a Brier score. It seems like my scores came out slightly different from his, probably because of the data I was able to find, but the results seem consistent.
As input the numbers provided by the New York Times Senate Model Comparison. I have converted each of the totals provided by them to the probability of a Republican win. Therefore, if they predicted a Democratic win by 75%, the number was converted to a Republican win by 1-D% resulting in a 25% chance of a Democratic win.
After calculating the Brier score for each of the models, here are the outcomes in order of best to worst (lower Brier score is better):
Place
|
Name
|
Brier
Score
|
#1
|
Daily
Kos
|
0.091
|
#2
|
Washington
Post
|
0.104
|
#3
|
PredictWise
|
0.125
|
#4
|
538
|
0.126
|
#5
|
HuffPo
|
0.139
|
#6
|
NYT
|
0.139
|
#7
|
SanityIID
|
0.161
|
#8
|
PEC
|
0.172
|
As you can see, all the various models did really well.
Links:
Princeton Electoral Consortium – http://election.princeton.edu/
Wikipedia: Brier Score – http://en.wikipedia.org/wiki/Brier_score
New York Times: 2014 Senate Model Comparison – http://www.nytimes.com/newsgraphics/2014/senate-model/#comparisons