studyvcmfc的专栏

scipy.stats.chi2 — SciPy v1.8.1 Manual

cross_val_score,cross_val_predict,cross_validate理解 - 知乎

sklearn中cross_val_score、cross_val_predict的用法比较_程大海的博客-优快云博客_cross_val_predict

sklearn的train_test_split()各函数参数含义解释（非常全）sklearn的train_test_split()各函数参数含义解释（非常全） - The-Chosen-One - 博客园

https://zhuanlan.zhihu.com/p/100451993

https://wenku.baidu.com/view/eb88c8e4bbd528ea81c758f5f61fb7360a4c2b72.html

https://scikit-learn.org/stable/modules/generated/sklearn.inspection.permutation_importance.html

Some inputs do not have OOB scores. This probably means too few trees were used to compute any reliable oob estimates. warn("Some inputs do not have OOB scores. "

如果是None，则使用estimator的误差估计函数（3）scoring=None模型评价标准，默认None,这时需要使用score函数；或者如scoring='roc_auc'，根据所选模型不同，评价准则不同。字符串（函数名），或是可调用对象，需要其函数签名形如：scorer(estimator, X, y)；如果是None，则使用estimator的误差估计函数。具体值的选取看本篇第三节内容。https://blog.youkuaiyun.com/weixin_41988628/...

上面报错原因:logloss使用过程中,必须要求将输出用one-hot表示ValueError: y_true and y_pred contain different number of classes 9, 2. Please provide the true labehttps://blog.youkuaiyun.com/qq_41475067/article/details/114002102

UserWarning: The least populated class in y has only 1 members, which is less than n_splits=10https://blog.youkuaiyun.com/weixin_46254549/article/details/106540547

https://zhuanlan.zhihu.com/p/37702043

https://blog.youkuaiyun.com/MingRachel/article/details/115038730

而min_samples_split限定，⼀个结点必须要包含⾄少min_samples_split个训练样本，这个结点才允许被分⽀，否则分⽀就不会发⽣。min_samples_leaf限定，⼀个结点在分⽀后的每个⼦结点都必须包含⾄少min_samples_leaf个训练样本，否则分⽀就不会发⽣，或者，分⽀会朝着满⾜每个⼦结点都包含min_samples_leaf个样本的⽅向去发⽣。⼀般搭配max_depth使⽤，在回归树中有神奇的效果，可以让模型变得更加平滑。这个参数的数量设置得太⼩会引起过拟合，

https://blog.youkuaiyun.com/qq_16633405/article/details/58596368

分析代码源自from sklearn.metrics import confusion_matrix如何写混淆矩阵手动分析如下一 将y_true y_pred写成列向量的形式y_true y_pre 是否匹配(真实值与预测值是否匹配)0 1 n1 1 y0 1 n1 0 n二 统计二分类混淆矩阵列如下（1代表阳性 0 代表阴性） ..

https://blog.youkuaiyun.com/vesper305/article/details/44927047

https://blog.youkuaiyun.com/pearl8899/article/details/109877348

https://sklearn.org/modules/classes.html

线性代数运算 APIhttps://docs.scipy.org/doc/scipy/reference/generated/scipy.linalg.norm.html

https://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.CountVectorizer.html#sklearn.feature_extraction.text.CountVectorizer

https://blog.youkuaiyun.com/liuerin/article/details/91492708

https://blog.youkuaiyun.com/ChenglinBen/article/details/84426942

https://www.jianshu.com/p/fa061c9ae72f

https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MinMaxScaler.html#sklearn.preprocessing.MinMaxScaler.fit

如下10种分类算法对比names = ["Nearest Neighbors", "Linear SVM", "RBF SVM", "Gaussian Process", "Decision Tree", "Random Forest", "Neural Net", "AdaBoost", "Naive Bayes", "QDA"]https://scikit-learn.org/stable/auto_examples/classification/pl.

有监督学习的算法fit(x,y)传两个参数无监督学习的算法是fit(x)，即传一个参数https://www.jianshu.com/p/55e261ce9b3e

https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/feature_extraction/text.py#L664

https://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.CountVectorizer.html

https://blog.youkuaiyun.com/anneqiqi/article/details/64443711

https://scikit-learn.org/stable/auto_examples/model_selection/plot_randomized_search.html#sphx-glr-auto-examples-model-selection-plot-randomized-search-py

https://blog.youkuaiyun.com/qq_16000815/article/details/80954039

When can you use the model - use each option as many times as necessarya = ‘regression’b = ‘classification’c = ‘both regression and classification’models = {‘decision trees’: c,# Letter here,‘ra...

https://www.jianshu.com/p/55e261ce9b3e

https://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.CountVectorizer.html#sklearn.feature_extraction.text.CountVectorizer