eval_pred

a list returned by function <code>bcbcsf_fitpred</code> with <code>X_ts</code> given, or <code>bcbcsf_pred</code>, or by <code>cross_vld</code>.

out_pred

y_ts

a matrix indicting loss function, with element $m_{ij}$ saving the losss from predicting class $i$ with class label $j$

Mloss


This function is used to find error rate, amlp, loss and predictive probabilities at true labels.


classif

d3:evalpred

Fully Bayesian Classification with a subset of high-dimensional features, such as expression levels of genes. The data are modeled with a hierarchical Bayesian models using heavy-tailed t distributions as priors. When a large number of features are available, one may like to select only a subset of features to use, typically those features strongly correlated with the response in training cases. Such a feature selection procedure is however invalid since the relationship between the response and the features has be exaggerated by feature selection. This package provides a way to avoid this bias and yield better-calibrated predictions for future cases when one uses F-statistic to select features.

d3:evalpred: A function for evaluating arrays of predictive probabilities with the true class labels of test cases

Description

Usage

Arguments

Value