Sentence examples for total number of examples from inspiring English sources

is the total number of examples in the set.

Here, m denotes the number of examples correctly classified, and M denotes the total number of examples.

Similarly, m c and M c denote the number of examples correctly classified and total number of examples, respectively, for a specific class c.

Notice that while evaluating the classification results, the total number of examples per class in the test set can be assumed as known.

Accuracy is defined as the sum of correctly classified examples from all instruments divided by total number of examples from all instruments.

We define B j = ∑∀ j C i,j as the total number of examples originally belonging to class i; A j = ∑∀ i C i,j as the total number of examples labeled as class j; and C total = ∑∀ i ∀ j C i,j.

In this fashion one tests all examples of the training data and measures the fraction of errors over the total number of training examples.

The standard estimator of (epsilon ) is (hat{epsilon } = frac{e}{m},) where (e) is the total number of misclassified examples.

This removed 45.8% of the total number of training examples.

Specificity is a ratio between true negative predictions and the total number of negative examples.

Recall (r): Measures the fraction of known complexes detected by predicted complexes, divided by the total number of positive examples in the test set.