AutoML
Automated Machine Learning (AutoML) is a general concept which covers diverse techniques for automated model learning including automatic data preprocessing, architecture search, and model selection. Source: Evaluating recommender systems for AI-driven data science (1905.09205)
Source: CHOPT : Automated Hyperparameter Optimization Framework for Cloud-Based Machine Learning Platforms
Papers
Showing 1–25 of 641 papers
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | marc.boulle | Rank (AutoML5) | 6.4 | — | Unverified |
| 2 | reference_mb | Rank (AutoML5) | 5.2 | — | Unverified |
| 3 | postech.mlg_exbrain | Rank (AutoML5) | 5.2 | — | Unverified |
| 4 | abhishek4 | Rank (AutoML5) | 4.6 | — | Unverified |
| 5 | reference | Rank (AutoML5) | 4.4 | — | Unverified |
| 6 | reference_ls | Rank (AutoML5) | 4 | — | Unverified |
| 7 | djajetic | Rank (AutoML5) | 3 | — | Unverified |
| 8 | aad_freiburg | Rank (AutoML5) | 1.6 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Logistic Regression | Accuracy | 97.02 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Zero-shot-BERT-SORT | 1:1 Accuracy | 55 | — | Unverified |
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | Logistic Regression | accuracy | 98.33 | — | Unverified |