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The CSIDOP method performance is assessed using the test dataset of 3812 human interaction pairs.
The predictive power of the model was first evaluated using the test dataset, comprised of the remaining 20% of the 1961 1990 long term average climate data (n = 1054).
The algorithms' performances were evaluated using the test dataset.
Validation of the risk score was performed using the test dataset.
As expected, accuracies declined using the test dataset, but overall remained high, particularly for Plants.
Models were developed using the "training" dataset and internally validated using the "test" dataset.
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After that, the ANN is tested using the testing dataset as outlined in Section 1.5.4.
Consequently, tests conducted using the testing dataset produced the perfect detection rate, i.e., 100% in predictive accuracy of P300.
The built logistic model was tested using the testing dataset (432 cases).
Further, we calculate the average values of these performance measures using the testing dataset for each method, respectively.
When compared with other publicly available servers by using the testing dataset, the new method yields better performance.
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CEO of Professional Science Editing for Scientists @ prosciediting.com