Advertisement · 728 × 90

Posts by Michael Kendle

I love this show so much so far! 💚

5 hours ago 1 0 1 0

I still can't believe most content creators and players in the Pokémon community won't leave Twitter.

21 hours ago 77 12 3 1

Yes, a bunch aren't loading.

21 hours ago 0 0 0 0

The side pony wag! 🤣

23 hours ago 1 0 0 0
Post image

🐭
OC

清書した

2 months ago 69 18 1 0

Yaaaasss!

3 days ago 0 0 0 0

Peak cuteness?

3 days ago 0 0 0 0
Advertisement

That's really fun. I love that.

3 days ago 1 0 0 0

I wanna say, "Hey look, it's Strongbad!" cause that's funny, but I know it's Incineroar.

3 days ago 1 0 1 0

Pro tip: When you want to post art that you are a bit embarrassed about you can always write "commission"

4 days ago 466 91 13 5

It, again, truly doesn't matter whether vibecoding actually caused the outages or not - when you start bragging about how claude is making every engineer on staff more productive and the site goes through months of persistent downtime, that's a Statement.

6 days ago 4272 1472 4 2
an artwork by Spindle of the character/persona Spinde, sitting in seiza position, startled by a smol lil Starly pokemon that showed up on her lap. She's wearing an ivory croptop, and ivory baggy capro pants. Red earrings and necklace, while holding a cig

an artwork by Spindle of the character/persona Spinde, sitting in seiza position, startled by a smol lil Starly pokemon that showed up on her lap. She's wearing an ivory croptop, and ivory baggy capro pants. Red earrings and necklace, while holding a cig

random starly showed up

1 week ago 5835 780 42 2

This episode made me worry for the rest of the season. 😭

6 days ago 1 0 0 0
Jump Rope Details for Pokopia

Jump Rope Details for Pokopia

Starting next week, Bulbasaur will host a Jump Rope Contest in Pokémon Pokopia!

You can get a limited-time Trophy by getting 50+ jumps!

🏆 50 Jumps
📅 April 19-26th

1 week ago 28 4 2 0

This was funny.

1 week ago 0 0 0 0

Is that a Pokeball?! 😯

1 week ago 2 0 1 0
Advertisement

I can see this.

1 week ago 0 0 1 0
Clustering Player Performance in Pokémon TCG Tournaments: A K-means Approach to Identifying Performance Groups Based on Wins, Losses, and Tournament Statistics ABSTRACTThis study applies K-means clustering to analyze player performance in competitive Pokémon  TCG  tournaments,  categorizing  players  into  four  distinct  performance groups based on metrics such as wins, losses, and ties. Using a dataset comprising over 186,000 players, the study identifies key clusters representing varying levels of success in the game. The data was preprocessed by handling missing values and standardizing    features    to    ensure    uniform    contribution    across    metrics. MiniBatchKMeans was employed to optimize clustering for large datasets, resulting in a model that groups players into low, moderate, and high-performance categories. The  clustering  results  provide  valuable  insights  into  the  distribution  of  player performance and help identify trends in competitive dynamics. A Silhouette Score of 0.4582  indicates  that  the  clustering  is  moderately  effective,  with  some  overlap between clusters, suggesting that further refinement may be needed. Visualizations, including scatter plots, box plots, and heatmaps, were used to interpret the cluster characteristics,  showing  that  top-performing  players  cluster  into  smaller  groups, while  a  large  majority  of  players  exhibit  moderate  performance.  The  findings  offer important  implications  for  both  players  and  tournament  organizers:  players  can refine strategies based on their cluster profiles, while organizers can use clustering insights to design more balanced and engaging tournament formats. Future research could explore alternative clustering methods and incorporate additional performance features to further optimize player segmentation and enhance tournament design.

Clustering Player Performance in Pokémon TCG Tournaments: A K-means Approach to Identifying Performance Groups Based on Wins, Losses, and Tournament Statistics ABSTRACTThis study applies K-means clustering to analyze player performance in competitive Pokémon TCG tournaments, categorizing players into four distinct performance groups based on metrics such as wins, losses, and ties. Using a dataset comprising over 186,000 players, the study identifies key clusters representing varying levels of success in the game. The data was preprocessed by handling missing values and standardizing features to ensure uniform contribution across metrics. MiniBatchKMeans was employed to optimize clustering for large datasets, resulting in a model that groups players into low, moderate, and high-performance categories. The clustering results provide valuable insights into the distribution of player performance and help identify trends in competitive dynamics. A Silhouette Score of 0.4582 indicates that the clustering is moderately effective, with some overlap between clusters, suggesting that further refinement may be needed. Visualizations, including scatter plots, box plots, and heatmaps, were used to interpret the cluster characteristics, showing that top-performing players cluster into smaller groups, while a large majority of players exhibit moderate performance. The findings offer important implications for both players and tournament organizers: players can refine strategies based on their cluster profiles, while organizers can use clustering insights to design more balanced and engaging tournament formats. Future research could explore alternative clustering methods and incorporate additional performance features to further optimize player segmentation and enhance tournament design.

🚨 #PokemonTCG paper alert 🚨, and it cites my co-authored paper from last year! My first academic citation!!

Among other things, the authors find that a staggering 60% of players drop out of tournaments. They go on to offer some innovative ways to improve player engagement and tournament structure.

1 week ago 6 2 1 0
Post image

ハルスグと…(トレパロ)

1 year ago 31 13 0 0

Yep.

1 week ago 0 0 0 0

Came to the comments to see if this was here, lol. So close to cowboy hat Caterpie. Like, it almost feels insulting that they'd give Caterpie a hat and it NOT be a cowboy hat.

1 week ago 4 0 0 0

I first read that as Nintendo switches and was super confused for longer than I want to admit.

1 week ago 0 0 0 0

🤯

2 weeks ago 0 0 0 0

This is so cute!

2 weeks ago 1 0 1 0
Post image

ASI ES COMO FUNCIONA UN TEST DE ANTIGENOS POR DENTRO

1 year ago 884 347 4 3
Advertisement

This was a crucial part of my childhood, lol.

2 weeks ago 0 0 0 0
Post image

Jumping on the gyaru Bulbasaur trend.
💚💚💚

2 weeks ago 2005 430 24 0

I'm excited for more of this. Still haven't decided whether to watch it week to week or wait till the season is over.

2 weeks ago 1 0 0 0
Preview
Reddit - https://i.redd.it/6wobm5kwotsg1.jpeg

ARTEMIS FROM SAILOR MOON WAS AT THE ARTEMIS 2 LAUNCH AND IM VERY EMOTIONAL ABOUT IT

www.reddit.com/media?url=ht...

2 weeks ago 6316 2426 47 129
Bluesky日本語公式アカウント(@jp.bsky.app)のプロフィール画面スクリーンショット。

Bluesky日本語公式アカウント(@jp.bsky.app)のプロフィール画面スクリーンショット。

日本のBlueskyユーザーの皆さん、こんにちは!👋
英語以外の言語として初の、日本語公式アカウントを開設しました。

今後、 @bsky.app などの投稿の翻訳、日本向けの告知などを行っていく予定です。

ぜひこの投稿をリポストして、多くの方にこのアカウントを知っていただけるようご協力ください。

2 weeks ago 8935 8352 81 141