Sentence examples for fraction of instances from inspiring English sources

This paper provides a real life application of the recently published Anticipative Hybrid Extreme Rotation Forest (AHERF), which is an heterogeneous ensemble classifier that anticipates the correct fraction of instances from each basic classifier architecture to be included in the ensemble.

Thus, it gives us an idea of the fraction of instances whose class could be correctly predicted by building separating hyperplanes that are parallel to one of the axis in the attribute space.

The use of Big Data provides advantages to Health Informatics by allowing for more tests cases or more features for research, leading to both quicker validation of studies and the ability to accrue enough instances for training when only a small fraction of instances exist within the positive class.

This is computed as the fraction of instances

Then, for each TE we computed the fraction of instances in the dataset carrying particular TFs.

We therefore score the cluster purity via the average precision per cluster, defined as the fraction of instances belonging to the majority class present in each cluster.

We evaluated the performance of the algorithm by reporting the test accuracy (the proportion of total correct guesses with respect to the total test set), the precision (the fraction of retrieved instances that are relevant), and the recall@1 (the fraction of relevant instances that are retrieved) after 4,000 iterations.

Here, precision is the fraction of retrieved instances that are relevant to the particular classification, while recall is the fraction of relevant instances that retrieved: Precision=frac{TP}{TP+FP} (3) Recall=frac{TP}{TP+FN} (4).

When the cost of misclassifying is different, the X-axis does not only represent the fraction of positive instances, but the product of the cost of misclassifying and the probability of an instance being from the positive class.

where CIA is the complexity of the IA preceding the (possible) MRB decoding attempt, while α represents the fraction of decoding instances in which MRB is invoked, i.e., the rate of the calls to MRB.

Furthermore, the fraction of all instances of each motif that is modified can also be determined.