官术网_书友最值得收藏!

Variable types

Put simply, dependent variables respond to the influence of the independent variables. In data mining, the dependent variables are often called output vars because they are the outcome of whatever underlying mathematical or statistical behavior you are trying to model. Indeed, predictive analytics attempts to model the dependent variables' response to the independent variables in the dataset and, by doing so, predict its output in future events. Practitioners will often refer to independent variables collectively as X and dependent variables as Y

  • Independent variables: The features of a dataset; these are often denoted as X in XY data terminology.
  • Dependent variables: The output in response to independent feature variables; the Y in XY data terminology:
It is important to note that multi-output data is common, so Y can be a multi-column matrix as well.  
主站蜘蛛池模板: 昭苏县| 丹巴县| 泾源县| 东莞市| 哈密市| 泉州市| 华池县| 福建省| 观塘区| 孙吴县| 兴安县| 涿鹿县| 邹平县| 静乐县| 济宁市| 德江县| 铜川市| 新绛县| 凉山| 新兴县| 会理县| 龙州县| 正安县| 上高县| 永定县| 汾阳市| 阿图什市| 新疆| 秭归县| 普格县| 田阳县| 株洲市| 淄博市| 平乡县| 广灵县| 吴旗县| 宜良县| 漳州市| 塘沽区| 竹溪县| 凤庆县|