Sentence examples for logistic regression prediction from inspiring English sources
The accuracy for predicting hospital mortality by SVM is comparable to that of logistic regression prediction.
In a preliminary set of analyses, we estimated for each country a logistic regression prediction model for which the criterion was a high score in both Literacy and Numeracy.
dSensitivity, specificity and area under the curve (AUC) were calculated with a logistic regression prediction model without adjustment for sex, age and smoking status.
As shown in Table 1, the average value of accuracy for the logistic regression prediction model with the wrapper-based approach was 75.3%.
The evidence favors targeted use: logistic regression prediction of treatment choice from pretreatment characteristics is substantially higher than 50%, which would be expected for a random choice between the 2 SNRIs.
On logistic regression, prediction of ICU mortality was better (AUC = 0.901 vs 0.787) when cardiac abnormalities detected by echocardiography were added to a model based on age and SAPS II.
Multivariate logistic regression predictions yielded an area under the curve of 0.786.
The close fit of Weibull II logistic regression enables prediction of pattern-scale relationships beyond the area of analysis.
The regression parameters of the logistic regression for prediction of being in the work state are summarized in Table 3.
An occupancy variable was added to an existing multivariate logistic regression mortality prediction model to investigate the general effect occupancy variable have on the mortality outcome [ 45].
Even though logistic regression and prediction CFA focus on the same data characteristics, on the relations among predictor variables and criterion, standard models of logistic regression (a variable-oriented approach) and prediction CFA (a person-oriented approach) vary.
