| CARVIEW |
Select Language
HTTP/2 302
server: nginx
date: Tue, 23 Dec 2025 23:10:06 GMT
content-type: text/plain; charset=utf-8
content-length: 0
x-archive-redirect-reason: found capture at 20100208185510
location: https://web.archive.org/web/20100208185510/https://github.com/tensor/contest
server-timing: captures_list;dur=1.018857, exclusion.robots;dur=0.084868, exclusion.robots.policy;dur=0.068712, esindex;dur=0.021528, cdx.remote;dur=7.101868, LoadShardBlock;dur=229.169463, PetaboxLoader3.datanode;dur=61.340353, PetaboxLoader3.resolve;dur=35.844817
x-app-server: wwwb-app28-dc8
x-ts: 302
x-tr: 313
server-timing: TR;dur=0,Tw;dur=0,Tc;dur=1
set-cookie: wb-p-SERVER=wwwb-app28; path=/
x-location: All
x-as: 14061
x-rl: 0
x-na: 0
x-page-cache: MISS
server-timing: MISS
x-nid: DigitalOcean
referrer-policy: no-referrer-when-downgrade
permissions-policy: interest-cohort=()
HTTP/2 200
server: nginx
date: Tue, 23 Dec 2025 23:10:07 GMT
content-type: text/html; charset=utf-8
x-archive-orig-server: nginx/0.7.61
x-archive-orig-date: Mon, 08 Feb 2010 18:55:08 GMT
x-archive-orig-connection: close
x-archive-orig-status: 200 OK
x-archive-orig-etag: "5efeec101974df04d78ddb1cada92243"
x-archive-orig-x-runtime: 201ms
x-archive-orig-content-length: 19630
x-archive-orig-cache-control: private, max-age=0, must-revalidate
x-archive-guessed-content-type: text/html
x-archive-guessed-charset: utf-8
memento-datetime: Mon, 08 Feb 2010 18:55:10 GMT
link: ; rel="original", ; rel="timemap"; type="application/link-format", ; rel="timegate"
content-security-policy: default-src 'self' 'unsafe-eval' 'unsafe-inline' data: blob: archive.org web.archive.org web-static.archive.org wayback-api.archive.org athena.archive.org analytics.archive.org pragma.archivelab.org wwwb-events.archive.org
x-archive-src: 52_14_20100208160534_crawl102_IndexOnly-c/52_14_20100208185255_crawl101.arc.gz
server-timing: captures_list;dur=1.094678, exclusion.robots;dur=0.038476, exclusion.robots.policy;dur=0.022711, esindex;dur=0.015503, cdx.remote;dur=25.980729, LoadShardBlock;dur=189.471754, PetaboxLoader3.datanode;dur=138.775141, PetaboxLoader3.resolve;dur=129.405519, load_resource;dur=196.176250
x-app-server: wwwb-app28-dc8
x-ts: 200
x-tr: 498
server-timing: TR;dur=0,Tw;dur=0,Tc;dur=0
x-location: All
x-as: 14061
x-rl: 0
x-na: 0
x-page-cache: MISS
server-timing: MISS
x-nid: DigitalOcean
referrer-policy: no-referrer-when-downgrade
permissions-policy: interest-cohort=()
content-encoding: gzip
tensor's contest at master - GitHub
This service is courtesy of Pledgie.
tensor / contest
- Source
- Commits
- Network (1)
- Issues (0)
- Downloads (0)
- Wiki (1)
- Graphs
-
Branch:
master
click here to add a description
click here to add a homepage
-
Branches (1)
- master ✓
- Tags (0)
Sending Request…
Enable Donations
Pledgie Donations
Once activated, we'll place the following badge in your repository's detail box:
contest /
| name | age | message | |
|---|---|---|---|
 |
README | Sun Aug 30 08:09:24 -0700 2009 | mmm [CDDB] |
 |
code/ | Sun Aug 30 07:38:04 -0700 2009 | code for github [CDDB] |
| |
results.txt | Sun Aug 30 05:20:30 -0700 2009 | blend.cc [CDDB] |
README
Idea === Blending. Linear blending is not enough to get a high score. I split the test data into several data set and blend each with different predictors and different weights. Language , children and grandparent predictors are not so usefull in my solution. I don't figure out why filters didn't work neither, oooops. The idea blending method should hits 2800 in my test data, while only nearly 2400 were hit actually. Apcluster produce lots of cluster and doesn't work in this solution, if I choose middle value as preference. Todo ==== Learn the weights in KNN More good clusters More smart blending method Read the codes and idea of the leading guy carefully. Credits ======= Thanks to: Daniel Haran && xlvector && jeremybarnes who contribute the ideas and basic codes.