The meaning of LEARNING CURVE is a curve plotting performance against practice; especially : one graphing decline in unit costs with cumulative output. How to use learning curve in a sentence.
To analyze the initial learning curve (LC) for robot-assisted pancreaticoduodenectomy (RAPD) and compare RAPD during the initial LC with open pancreaticoduodenectomy (OPD) in terms of outcome. This study is a retrospective review of patients who consecut
So, we can deduce that the elbow point or the knee of the curve is at 20 shots for the CIFAR dataset, and even with a smaller number of samples the algorithm is capable of training the classifier. This shows that our approach has utility in applications, including FER, where there is a...
S-curve leaps can also mean broadening a skill set or moving between functional areas (for example, expertise areas within the function) while staying at the same level of hierarchy. Would you like to learn more about the McKinsey Academy? It may seem safer, easier...
We calculated the receiver operating characteristic (ROC) curve and used the area under the curve (AUC) for the quantitative evaluation of the landslide susceptibility maps using the testing dataset. Better performance in both the training and testing phases was provided by the RNN algorithm (AUC=...
As the relationship between the probability of social learning and residue-based biogas use is nonlinear, the marginal change could be presented by the tangent to the probability curve: $$\begin{aligned} \frac{{\partial \Pr (y_{i} )}}{{\partial X_{i} }} & = \left( {\frac{{\...
2015). There are also many methods that can be applied for model evaluation, such as cross-validation, k-fold, holdout with various metrics such as accuracy (ACC), precision, recall, F1, Matthews correlation coefficient (MCC), receiver operating characteristic (ROC), area under the curve (...
Area under curve DNN: Deep neural network GMM: Gaussian Mixture Model FNN: Feedforward neural network SVM: Support vector machine LR: Logistic regression RF: Random Forest ASR: Automatic speech recognition NLP: Natural language processing BERT: Bidirectional Encoder Representations from Tra...
Machine-learning algorithms trained with retinal fundus images, with subject metadata or with both data types, predict haemoglobin concentration with mean absolute errors lower than 0.75 g dl–1and anaemia with areas under the curve in the range of 0.74–0.89. ...
In coarse solver, 2 of the testing trajectories diverged (NaN) at the 72nd step thus the green curve () stops at the 71st step. b The contours show predicted solution snapshots of velocity magnitude ∥u∥2 for the NS equations, obtained by black-box ConvResNet (baseline), PDE-...