...quo;re unsure, or to get confidence intervals) or if you expect to receive more training data in the future that you want to be able to quickly incorporate into your model. 逻辑回归: 有很多正则化模型的方法，而且你不必像在用朴素贝叶斯那样担心你的特征是否相关...

...quo;re unsure, or to get confidence intervals) or if you expect to receive more training data in the future that you want to be able to quickly incorporate into your model. 逻辑回归: 有很多正则化模型的方法，而且你不必像在用朴素贝叶斯那样担心你的特征是否相关...

...quo;re unsure, or to get confidence intervals) or if you expect to receive more training data in the future that you want to be able to quickly incorporate into your model. 逻辑回归: 有很多正则化模型的方法，而且你不必像在用朴素贝叶斯那样担心你的特征是否相关...

...quo;re unsure, or to get confidence intervals) or if you expect to receive more training data in the future that you want to be able to quickly incorporate into your model. 逻辑回归: 有很多正则化模型的方法，而且你不必像在用朴素贝叶斯那样担心你的特征是否相关...

...quo;re unsure, or to get confidence intervals) or if you expect to receive more training data in the future that you want to be able to quickly incorporate into your model. 逻辑回归: 有很多正则化模型的方法，而且你不必像在用朴素贝叶斯那样担心你的特征是否相关...

...quo;re unsure, or to get confidence intervals) or if you expect to receive more training data in the future that you want to be able to quickly incorporate into your model. 逻辑回归: 有很多正则化模型的方法，而且你不必像在用朴素贝叶斯那样担心你的特征是否相关...

...quo;re unsure, or to get confidence intervals) or if you expect to receive more training data in the future that you want to be able to quickly incorporate into your model. 逻辑回归: 有很多正则化模型的方法，而且你不必像在用朴素贝叶斯那样担心你的特征是否相关...

...quo;re unsure, or to get confidence intervals) or if you expect to receive more training data in the future that you want to be able to quickly incorporate into your model. 逻辑回归: 有很多正则化模型的方法，而且你不必像在用朴素贝叶斯那样担心你的特征是否相关...

...quo;re unsure, or to get confidence intervals) or if you expect to receive more training data in the future that you want to be able to quickly incorporate into your model. 逻辑回归: 有很多正则化模型的方法，而且你不必像在用朴素贝叶斯那样担心你的特征是否相关...

...quo;re unsure, or to get confidence intervals) or if you expect to receive more training data in the future that you want to be able to quickly incorporate into your model. 逻辑回归: 有很多正则化模型的方法，而且你不必像在用朴素贝叶斯那样担心你的特征是否相关...