Sentence examples for building a classifier from inspiring English sources

Our aim was to identify the best characteristics that discriminate BD families from control by building a classifier with the main characteristics found from different scales.

According to standard procedure, building a classifier using machine learning is a fully automated process that follows the preparation of training data by a domain expert.

Previous works address this class-description problem by either analyzing the correlation of each attribute with the class, or by producing rules as in building a classifier.

But as we discussed in Section 8.3, accuracy is not a good measure for ''small" classes because always saying no, a strategy that defeats the purpose of building a classifier, will achieve high accuracy.

In conclusion, we have demonstrated that a supervised machine learning approach to building a classifier for finding patients that might have FH using EHR data is feasible with a positive predictive value of 0.88, sensitivity of 0.75 and specificity of 0.99.

(ii)Building a classifier.

Two of the key characteristics for building a robust classifier ensemble include (a) the diversity among the classifier models in the ensemble [ 84] and (b) the reasonably high accuracy of the individual members in the ensemble.

Although training and retraining the classifier for feature identification, we found that the selection of the mask radius was absolutely critical to building a good classifier.

These challenges include, as in any pattern recognition problem, data acquisition and annotation, feature extraction and finding the most salient features, and building a robust classifier.

Thus, the procedure of building a weak classifier has to choose the triplet of an optimal feature and its two thresholds T h 1 and T h 2. The general idea of fuzzy decision is illustrated in Fig. 5.

The backward elimination procedure was initiated by building a RF classifier that included all candidate biomarkers.