Sentence examples for evaluate the prediction accuracy from inspiring English sources

Exact(36)

In addition, it is difficult to evaluate the prediction accuracy because we have no evaluation formula for the variance of the predicted value.

To further validate the relationship between spatial gene-gene interactions, we used the known gene function of the interacting genes of a target gene to predict its function and evaluate the prediction accuracy.

Also, this study used the mean absolute percentage error (MAPE) to evaluate the prediction accuracy of the developed methodology (which means the difference between the predicted and measured energy performance).

Once the classifier is built, we apply it on test data to evaluate the prediction accuracy and then apply it to real data to predict unexpressed fragment attractors and remove their fragment alignments.

In the first experiment, we compared the predicted value of the trained EPCNN model with the actual value to evaluate the prediction accuracy of the model.

Further investigations required to comprehensively evaluate the prediction accuracy of the system are discussed.

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Similar(24)

To further evaluate the prediction accuracies of our rule-based methods for each subcellular location in this dataset, we retrieved protein entries having an annotated, unique subcellular location from UniProtKB/Swiss-Prot UniProtKB/Swiss-Prot

We compare the predicted results with the actual results for the holdout sample for evaluating the prediction accuracy with several statistical measures and find that mFPT performs best in these data mining methods in predicting protein localization.

The spatial-level comparison is additionally conducted by evaluating the prediction accuracy at both room-level and house-level.

We evaluated the prediction accuracy of the model using data sets generated on 68 original synthetic compounds from the Mitsubishi Tanabe Pharma Corporation and over 2500 drugs from the National Institutes of Health Chemical Genomics Center Pharmaceutical Collection for their ability to activate hPXR.

We evaluated the prediction accuracy of our CA model, by comparing results from the CA model with remote sensing satellite data from the disaster areas and measurements of the mudflow disaster area.

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