Sentence examples for based on the classification model from inspiring English sources

According to the following three dimensions, a decision is classified as informed or uninformed based on the classification model of Marteau et al 8: knowledge (sufficient/insufficient), attitude (positive/negative) and intention/implementation (yes/no).

The building and testing of comparison model based on the classification model framework can be accomplished using the following steps: 1) Sample positive and negative target genes data as a training model of the data set, from positive target genes (788 groups) and negative target genes (4000 groups) randomly, with total of 4788 target genes.

Based on the classification obtained by this model, these sequences are classified and a new model is trained, thus obtaining the final model.

And, p-value denotes the probability at which one candidate was classified as a positive hit by mistake based on the SVM classification model.

We extracted the type of model based on the classification mentioned above.

One would therefore choose a specificity close to one and could read from the ROC curve the achievable sensitivity based on the underlying classification model.

Three levels of risk debates, modified from Renn (1992), based on the knowledge classification model by Funtowicz and Ravetz (1985).

A small but significant detail will be pointed out here: Renn's two-dimensional scheme (based on the knowledge classification model by Funtowicz and Ravetz (1985)) might be interpreted in a way that for conflicts with low intensity and low complexity, knowledge and expertise are completely sufficient for achieving a solution.

Many subsequent studies were based on the above classification model.

Similarly in the test phase, the test data are embedded in the low dimensional space, Y_{text{new}} = X_{text{new}} A (3)and the embedded data are subsequently classified into spikes or non-spikes based on the learnt classification model.

Our results thus showed that classifying molecular descriptors may have been far from unique, taking into account ties in proximity; therefore, the reliability of models based on the classification of descriptors needs to be ascertained as there is a good change of bias.