Sentence examples for most robust classifiers from inspiring English sources

SVM is known to be one of the most robust classifiers in many domains.

The results demonstrated that the combination of subfield volumes and the presubiculum were the most robust classifiers, identifying 81.1%% of MCI-c correctly, and were better than using total hippocampal volume alone.

Because we aimed to obtain the most robust classifier possible, and had access to 2 reliable datasets (our own dataset with 26 samples [training dataset B] and the dataset of Borup et al. with 40 samples [dataset A]), we decided to use both of them sequentially for classifier construction.

There are two main goals of the classification experiments - to find the most robust and versatile classifier for imbalanced bioassay data and to find out the optimal misclassification cost setting for a classifier.

It is considered as the most robust approach for classifier evaluation [33].

The Receiver Operating Characteristic (ROC) curve is probably the most robust approach for classifier evaluation and comparison [ 15].

MCC is defined as: (8) The Receiver Operating Characteristic (ROC) curve is probably the most robust approach for classifier evaluation and comparison [ 15].

The receiver operating characteristic (ROC) curve is probably the most robust technique for evaluating classifiers and visualizing their performance (Egan, 1975).

Rather than simply implementing the existing PCR-based PAM50 signature on the NanoString platform, scientific best practices dictate that a de novo retraining of the PAM50 breast cancer intrinsic subtype classifier should be performed on the nCounter in order to develop the most accurate and robust classifier.

However, in general, the machine-learning model based on the Random Forest classifier showed the most robust performance.

For instance, the combined subfield volumes classifier, which was the most robust for MCI-c predidentifiedentified only 48.7%% of MCI-s with a HC-like subfield structure.