Sentence examples for accuracy training from inspiring English sources

Although it is unfair to compare our method with PL+SVM for the latter is based on the accuracy training set from pixel labeling, we still take PL+SVM as a baseline method.

As mentioned above, the classification accuracy of our method (GL+LpcSVM) is slightly lower than PL+SVM as the latter is based on the accuracy training set from pixel labeling.

Susceptibility class Verification (30% flood points) Accurate (high to very high class) Prediction accuracy Training (70% flood points) Success (high to very high class) Success rate 1 Very low 0 42 0.977 or 97.7% 0 94 0.94 or 94.0% 2 Low 0 0 3 Medium 1 6 4 High 20 45 5 Very high 22 49 Total 43 100.

These names, encoded using the popular One-Hot representation and Word Embeddings in addition to Integer representation and an Enhanced Integer representation (proposed in this paper), were given as Input and the performance is evaluated on accuracy, training times and size of input layer.

For this classification problem with large training dataset, accuracy, training and testing speed and memory usage are the main concerns.

Although this is a preliminary sample of data from a small group of subjects, this finding suggests that accuracy training, in addition to strength training, may also contribute to the rehabilitation of swallowing difficulties.

This selection is generally based on the criterion of high accuracy on training data, but also strives to ensure generalizability beyond the training data.

The accuracy of training process was characterized in terms of the number of delays.

This demonstrates the efficiency of the proposed method without pre-processing and with high accuracy and training speed.

SVM-RBF gives, in both EU and SA, the best accuracy with training sets ≥5000 people and KNN the worst.

MemBrain-Contact obtains 62%/64.1% prediction accuracy on training and independent dataset on top L/5 contact prediction, respectively.