Training loss and validation loss for different methods. by Zhongyi Xia (18953836)

Training loss and validation loss for different models. by Zhongyi Xia (18953836)

Cinacalcet administered early in the inactive phase markedly decrease parathyroid Ki-67 index. by Søren Egstrand (10906087)

Training loss and validation loss. by Ze Wei (556526)

“…Additionally, the WIPIoU loss function is developed to calculate IoU using auxiliary boundaries and address low-quality data, improving small-target recognition and accelerating convergence. …”

Training-Validation accuracy and loss. by Hassaan Malik (10486121)

Training vs validation loss. by Chatla Subbarayudu (21368330)

Training and validation loss of the model. by Yao He (290155)

Significantly Enriched Pathways. by Jiyong Zhang (2498740)

Subjects:

CNN segmentation validation loss throughout training. by Alex J. Allphin (17102503)

Loss map of training set and validation set. by Weiwei Cheng (582223)

Training and validation loss/accuracy curves. by İlhan Uzel (14838394)

The level of miRNA 221 in the myocardium of MIRI mice was decreased. by Hongyu Li (1332669)

Subjects:

Training and validation loss. by Said A. Salloum (13257033)

“…The models were trained and validated using 10-fold cross-validation. XGBoost was trained with up to 300 boosting rounds, and performance was evaluated using accuracy, precision, recall, F1-score, ROC-AUC, and log loss. …”

Decrease of injuries. by Petr Fulin (8380320)

Subjects:

Training loss(T_loss), training accuracy (T_acc), validation loss (V_loss), validation accuracy (V_acc), test loss (Te_loss), test accuracy (Te_acc) for each of the optimizers corr... by Sidratul Montaha (13200394)

Validation loss does not reflect downstream performance. by Mostafa Eltager (17102176)

Loss on the training and validation sets in the training process. by Changsheng Li (278602)

Change graph of loss value (a) Classification loss (b) Regression loss. by Yixing Zhang (9658704)

The fluctuation of accuracy and loss over epochs during training and validation. by Shujuan Wang (30858)

The training and validation losses from the outer folds of the experiment. by Jassim AlMulla (16726296)