Rank (AutoML5): 1.60Set1 (F1): 0.7947Set2 (PAC): 0.4061Set3 (AUC): 0.5543
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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)
<span class="description-source">Source: CHOPT : Automated Hyperparameter Optimization Framework for Cloud-Based Machine Learning Platforms </span>
논문
Kendall's Tau: 0.888Spearman's Rho: 0.982
Test Accuracy: 93.2Validation Accuracy: 0.844
accuracy: 98.33
1:1 Accuracy: +55%
Kendall's Tau: 0.53Spearman's Rho: 0.73Pearson R: 0.72Acc. (test): 93.29
Test Accuracy: 93.23
Test Accuracy: 93.46
Accuracy (%): 93.58%
Test Accuracy: 93.05
Specificity (VEB+): 95.04F1 score: 0.8929
Test Accuracy: 93.55
Test Accuracy: 93.90
Test Accuracy: 94.02
Test Accuracy: 94.13
R2: 0.9314