官术网_书友最值得收藏!

  • Deep Learning By Example
  • Ahmed Menshawy
  • 158字
  • 2021-06-24 18:52:36

Evaluating your model

In this step, we try to measure the generalization error of our model on the unseen data. Since we only have the specific data without knowing any unseen data beforehand, we can randomly select a test set from the data and never use it in the training process so that it acts like valid unseen data. There are different ways you can to evaluate the performance of the selected model:

  • Simple holdout method, which is dividing the data into training and testing sets
  • Other complex methods, based on cross-validation and random subsampling

Our objective in this step is to compare the predictive performance for different models trained on the same data and choose the one with a better (smaller) testing error, which will give us a better generalization error over the unseen data. You can also be more certain about the generalization error by using a statistical method to test the significance of your results.

主站蜘蛛池模板: 辽宁省| 科技| 芦山县| 图木舒克市| 元谋县| 保康县| 太保市| 辽阳县| 普宁市| 栾城县| 安达市| 丰宁| 邵阳县| 田东县| 五指山市| 恩施市| 邢台县| 郸城县| 金堂县| 元氏县| 肇庆市| 璧山县| 酉阳| 同心县| 镇雄县| 嵩明县| 龙山县| 无棣县| 宁乡县| 湖口县| 军事| 靖州| 桑植县| 文成县| 文山县| 永和县| 神农架林区| 洮南市| 苗栗县| 江川县| 大荔县|