Sentence examples for prediction divided from inspiring English sources
Class C prediction divided the soft clay into two layers based on the information of ground investigation, and achieved better predictions for settlement, pore pressure and lateral movement.
We evaluated the sensitivity (fraction of true-positive junctions predicted) and precision (number of true-positive predictions divided by the total number of junction predictions) for each simulated data set.
The analysis reveals that the type of mathematical model has only a slight effect on the average prediction accuracy (APA, which indicates on average how well a model predicts the final exam scores of all students in the dynamics course) and on the percentage of accurate predictions (PAP, which is calculated as the number of accurate predictions divided by the total number of predictions).
MR is obtained from the overall misclassification rate (i.e., overall number of incorrect predictions divided by the total number of predictions) for the training pool, and ϵ(k) and φ(k) are estimated by fitting beta binomial distributions to the training pool errors and predictions, respectively, as functions of k.
Reliability is defined as the number of positions with consistent predictions divided by the total number of positions having two or more hits to the same SCOP fold.
In Fig. 3 each line represents the accuracy, measured as the ratio of true positive predictions divided by the number of predictions in the extended test set for an increasing number of predicted pairs (the equivalent figure for the Test Set is shown in Fig. S1).
The precision rate is the number of correct predictions divided by the total number of predictions.
Accuracy of classification is calculated by number of correct predictions divided by number of predictions.
It is the fraction of all predictions divided by the total number of trials.
Precision measures the percentage of correct predictions, i.e. the number of correct predictions divided by all predictions.
The cross-validation accuracy (correct predictions divided by total predictions) is computed by taking the average across these datasets.
