Exact(24)
The AD measures derived from class probability estimates in classification and regression mode were analyzed.
The regression mode of the library for support vector machines (LibSVM) [56] tool is employed to train an SVR model.
In case of RF the classification mode has a slight edge while for NNs and SVMs the regression mode wins.
In the two-class case studied here, there are slight differences between classification and regression mode but these are negligible for a practitioner.
The goodness of fit for this multiple regression mode show adjusted R 2 = 0.348 which is less than R 2 = 0.354 (Table 5).
For those techniques that were run in classification and regression mode, the respective class probability estimates (i.e. (hat{p}) and (bar{p})) ranked top.
Similar(35)
Then, to identify the predictors of sexual behaviors among ART attendants, only variables that were significantly associated in the bivariate analysis were entered into multinomial regression modes.
The significant predictor variables for self-reported function (WOMAC) and reported weekly duration of physical activity using multiple regression modes are shown in Table 4.
Polytomous regression modes were used to estimate ORs, PARs and 95 % CI by subsite (base of the tongue, mobile tongue, gums, floor of the mouth, hard/soft palate, and other parts of the oral cavity).
PLS-reg (for PLS-regression mode) is used to model an 'asymmetric' or uni-directional relationship between the two data sets, i.e. we want to predict the matrix Y with the data X.
In multiple linear regression model, modes of transmission knowledge score (adjβ: 0.18, 95% CI: 0.06 0.29) and the work experience (adjβ: 0.06 95% CI: 0.02 0.09) were the only significant predictors of universal precautions score.
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