Accuracy
نسبة الدقة الإجمالية
النسبة المئوية البسيطة لإجمالي التنبؤات الصحيحة التي حققها النموذج مقارنة بكامل المحاولات المتاحة.
Accuracy
Also translated asمعدل الصحة الحسابي للتنبؤات، الصحة العامة للنموذج
First appears in this corpus in: Random Forests (2001)
Appears in these papers
- beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework2017in the sky ✦
- Unsupervised Visual Representation Learning by Context Prediction2015in the sky ✦
- A ConvNet for the 2020s2022in the sky ✦
- Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding2016in the sky ✦
- EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks2019in the sky ✦
- Emergent Abilities of Large Language Models2022in the sky ✦
- Are Emergent Abilities of Large Language Models a Mirage?2023in the sky ✦
- Are Emergent Abilities of Large Language Models a Mirage?2023in the sky ✦
- GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding2018in the sky ✦
- GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding2018in the sky ✦
- ImageNet: A Large-Scale Hierarchical Image Database2009in the sky ✦
- Distilling the Knowledge in a Neural Network2015in the sky ✦
- When Does Label Smoothing Help?2019in the sky ✦
- Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour2017in the sky ✦
- LightGBM: A Highly Efficient Gradient Boosting Decision Tree2017in the sky ✦
- "Why Should I Trust You?": Explaining the Predictions of Any Classifier2016in the sky ✦
- The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks2019in the sky ✦
- The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks2019in the sky ✦
- Mixed Precision Training2018in the sky ✦
- MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications2017in the sky ✦
- Random Forests2001in the sky ✦
- Self-Consistency Improves Chain of Thought Reasoning in Language Models2022in the sky ✦
- Self-Instruct: Aligning Language Models with Self-Generated Instructions2022in the sky ✦
- A Unified Approach to Interpreting Model Predictions2017in the sky ✦
- Spatial Transformer Networks2015in the sky ✦
- Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows2021in the sky ✦
- VQA: Visual Question Answering2015in the sky ✦