I m用2类病媒进行初步检测,试图将其与校准分开。 我在马特拉布和三厘米线(使用校准)获得78.2%的正确身份识别率,但在韦卡,我获得的电算率约为95%。
No cross-validation was done in Weka; just trained model and then read in test dataset and classified it.
谁能作解释? 提前感谢。
I m用2类病媒进行初步检测,试图将其与校准分开。 我在马特拉布和三厘米线(使用校准)获得78.2%的正确身份识别率,但在韦卡,我获得的电算率约为95%。
No cross-validation was done in Weka; just trained model and then read in test dataset and classified it.
谁能作解释? 提前感谢。
如果你没有提供单独的测试数据,则应确定验证单,10或预期价值。 但是,确保这两个方案都使用相同的SVMType和kerneltype。 Weka缺席使用C-SVC,具有半射线功能。
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