English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

We introduce TabRepo, a new dataset of tabular model evaluations andpredictions. TabRepo contains the predictions and metrics of 1206 modelsevaluated on 200 regression and classification datasets. We illustrate thebenefit of our datasets in multiple ways. First, we show that it allows toperform analysis such as comparing Hyperparameter Optimization against currentAutoML systems while also considering ensembling at no cost by usingprecomputed model predictions. Second, we show that our dataset can be readilyleveraged to perform transfer-learning. In particular, we show that applyingstandard transfer-learning techniques allows to outperform currentstate-of-the-art tabular systems in accuracy, runtime and latency.

TabRepo: A Large Scale Repository of Tabular Model Evaluations and its AutoML Applications