Machine Learning - Save Variable(s) - Probabilities of Each Response

Creates new variables containing predicted probabilities of each response from a machine learningmachine learning model or ensembleensemble.

Example

A table of probabilities of a binary outcome variable.

Technical details

Uses the Probabilities method from the R package flipData. Unlike the defaults in most R packages, this implementation assigns probabilities for observations not in the estimation sample.

Code

var __webpack_modules__ = ({});
// The module cache
var __webpack_module_cache__ = {};

// The require function
function __webpack_require__(moduleId) {

// Check if module is in cache
var cachedModule = __webpack_module_cache__[moduleId];
if (cachedModule !== undefined) {
return cachedModule.exports;
}
// Create a new module (and put it into the cache)
var module = (__webpack_module_cache__[moduleId] = {
exports: {}
});
// Execute the module function
__webpack_modules__[moduleId](module, module.exports, __webpack_require__);

// Return the exports of the module
return module.exports;

}

// webpack/runtime/rspack_version
(() => {
__webpack_require__.rv = () => ("1.7.2")
})();
// webpack/runtime/rspack_unique_id
(() => {
__webpack_require__.ruid = "bundler=rspack@1.7.2";
})();
includeWeb('QScript R Output Functions');

saveVariables('Probabilities', 'Machine Learning, MachineLearningEnsemble or Regression', 'flipData::Probabilities(', ')', null, null, 'prob', ['MachineLearning', 'MachineLearningEnsemble', 'Regression']);