Mean Square Error of Prediction is the average of the squared prediction errors of MEBV.
Our reported prediction accuracies are the average of these iterative cycles of prediction for the optimized model.
A simple physically based model is also developed for the prediction of the average size of precipitates during artificial aging of pre-aged alloys, when "growth" is the controlling mechanism of precipitation.
SOP models for DSA systems broadly target occupancy parameters such as channel availability, i.e. prediction of channel status as idle or busy, as well as, duty cycle, i.e. prediction of the average fraction of time the primary user is occupying the channel [7, 8].
The results indicate that the mean-value theory is an acceptable predictor when cylindrical shells are considered, but requires minor modification for the prediction of the average admittance in the case of a transversely vibrating beam composite or sandwich.
Although ignoring the heterogeneities of the system can lead to adequate prediction of the average behavior of sulfate-reducing related products, it can also lead to an overestimation of the overall accumulation of iron-reducing bacteria, as well as the rate and extent of iron reduction.
The prediction of the average duration of infectiousness (D = 5.1 days) is also new.
In particular, our prediction of the average lifetime of a PIG-A mutated clone agrees closely with the experimental results available for the PIG-A gene mutation in healthy adults.
For most families of transcription factors the best available methods utilize k-nearest neighbor (KNN) algorithms to make specificity predictions based on the average of the specificities of the k most similar proteins with defined specificities.
In addition, the modelling effort provided insight into the probable atomic configurations of the amorphous structures allowing predictions of the average distance to the first and second nearest neighbours in the system.
