官术网_书友最值得收藏!

Remove outliers

Outliers in data are values that are unlike any other values in the series and affect all learning methods to various degrees. These can be extreme values, which could be detected with confidence intervals and removed by using a threshold. The best approach is to visualize the data and inspect the visualization to detect irregularities. An example is shown in the following diagram. Visualization applies to low-dimensional data only:

主站蜘蛛池模板: 田东县| 晋宁县| 洛南县| 绥德县| 乌兰县| 上思县| 武清区| 湘乡市| 迁安市| 景洪市| 旅游| 屯昌县| 新和县| 宣化县| 施秉县| 罗甸县| 贡山| 屏山县| 桓台县| 繁峙县| 兴国县| 射洪县| 景德镇市| 溧水县| 尼木县| 宁河县| 卢氏县| 水城县| 松原市| 元氏县| 庆元县| 洪江市| 札达县| 伊宁县| 东辽县| 五大连池市| 通州市| 荔波县| 高要市| 原阳县| 富裕县|