Well done everyone! Let's have a look at what you have accomplished in this round. Below you can see an image that represents the overall MSE scores achieved for user and tweet classification tasks. Each point on a scatter plot represents scores for a single student. Lower scores are better , so try to improve your performance by reducing your MSE. Performance of the baseline model and median performance of the class also reported.

I know everyone is curious about the leader board. Since revealing the student ID's is not right and sharing your deanonymized code will give access to your personalized pages, I am just sharing the top 50 MSE scores below. Students with the same scores are more likely to be a team mates and I will share more information on that below.

Tweet MSE User MSE
1 0.135631 0.102760
2 0.135631 0.102760
3 0.135631 0.102760
4 0.135631 0.103397
5 0.144850 0.108114
6 0.149250 0.108114
7 0.149250 0.108114
8 0.149250 0.108114
9 0.149250 0.123137
10 0.149250 0.124583
11 0.155076 0.142409
12 0.155076 0.146200
13 0.155076 0.147000
14 0.155076 0.148000
15 0.158650 0.148000
16 0.161050 0.148650
17 0.161897 0.148800
18 0.165942 0.148800
19 0.165942 0.148800
20 0.165942 0.148800
21 0.165942 0.148800
22 0.165942 0.148800
23 0.171623 0.149000
24 0.173650 0.149000
25 0.181650 0.149000
26 0.181650 0.149000
27 0.181650 0.149000
28 0.181650 0.151000
29 0.181650 0.151000
30 0.187476 0.151000
31 0.189850 0.151000
32 0.191650 0.151600
33 0.196850 0.151600
34 0.196850 0.151600
35 0.196850 0.151600
36 0.196850 0.151600
37 0.198250 0.151600
38 0.198250 0.154400
39 0.198250 0.154400
40 0.198250 0.154400
41 0.198250 0.154400
42 0.200850 0.154400
43 0.200850 0.156800
44 0.200850 0.156800
45 0.200850 0.157200
46 0.203050 0.157200
47 0.203050 0.157200
48 0.203050 0.159400
49 0.203165 0.159400
50 0.203250 0.162400