Sentence examples for classification model based on from inspiring English sources

In this section, we mainly introduce the text classification model based on semantic similarity.

We propose a novel classification model based on relational association rules mining.

In this sub-module, a predictive classification model based on the selected method and parameters can be established.

The model proposed in this paper is a text classification model based on synonym merging, named SM-CHI.

Another advantage of feature selection is a better interpretability of a classification model based on lesser features.

After constructing a classification model, based on this set of papers, the classifier applies the model to a MEDLINE sample.

First of all, we hope to examine and establish a set of computational strategies, including the property-based rules, the characterization of molecular frameworks and the classification models based on naïve Bayesian classification technique, for drug-likeness evaluation at different levels.

In order to address this question we built classification models based on two datasets measured inhouse at Boehringer-Ingelheim at pH 7.4: one kinetic set of solubility measurements based on nephelometry and one thermodynamic set of solubility measurements based on shake-flask experiments.

Using the 70%ChEMBL1717 dataset allotted to training, the multi-label multi-class classification and single-label multi-class classification models based on the Naïve Bayes concept were generated, see Methods.

The authors employed multi-label multi-class classification models based on SVM, MLK-Nearest-Neighbour, and Neural Network on a dataset of 580 cytochrome p450 substrates and seven isoforms.

An external validation of the classification models based on a validation sample of 148 individuals, revealed an overall well classification by CART model of 85% while those achieved with MLR and FDA models were 72%and77%7%, respectively.