confusion_matrix = ConfusionMatrix(y_actu, y_pred) print("Confusion matrix:\n%s" % confusion_matrix) You can see itPredicted cat dog rabbit __all__ Actual cat 3 0 0 3 dog 0 1 2 3 rabbit 2 1 3 6 __all__ 5 2 5 12 Matplotlib plot of a confusion matrix...
The following code shows how to create a new column to an existing DataFrame through row-by-row calculation between or among columns: View Code Pandas provides two different ways to duplicate a DataFrame: Referencing: 藕不断丝连。 Copying: 相互独立。 View Code There're a lot of differences ...
y_train)# 模型预测结果pred = lr.predict(X_train)# 混淆矩阵print(confusion_matrix(y_train, pred))# 精确率、召回率以及f1-scoreprint(classification_report(y_train, pred))#任务三:ROC曲线#绘制ROC曲线'''什么是ROC曲线,ROC曲线的存在是为了解决...
df_2 = DataFrame(data_1, columns=['year', 'state', 'pop']) df_2 | | year | state | pop | | — | — | — | | 0 | 2012 | VA | 5.0 | | 1 | 2013 | VA | 5.1 | | 2 | 2014 | VA | 5.2 | | 3 | 2014 | MD | 4.0 | | 4 | 2015 | MD | 4.1 | 与Series类...
将数据集分为训练集和测试集,对训练集调用python的logistic回归拟合,将拟合结果(即参数w和b)代入到测试集的数据上测试,生成预测的输出值,然后与实际的y值进行比对,作出对测试集的AUC和confusion matrix。confusion矩阵在这里有四个象限:实际为0,预测为0;实际为1,预测为0……。每个象限上对应满足条件的测试集的数据...
df_3 = DataFrame(data_1, columns=['year', 'state', 'pop', 'unempl']) df_3 1. 2. 通过键检索列,返回Series: df_3['state'] ''' 0 VA 1 VA 2 VA 3 MD 4 MD Name: state, dtype: object ''' 1. 2. 3. 4. 5. 6.
Confusion matrix represents a tabular presentation of Actual Vs Predict Value You can calculate the accuracy of your model with: (True Positive + True Negative) / (True Positive + True Negative + False Positive + False Negative) Example: There are two possible predicted classes: “yes” and...
Maybe not a research error, maybe confusion with another similar project. Before Narwhals, I was involved in a group called the dataframe Consortium, which was trying to make a DataFrame standard, like some dataframe API that different dataframe libraries could implement and then people could write...
Can pass multiple columns to GroupBy object, e.g. grouped[[col1, col2]] to only aggregate a subset of the value columns (#383) Add histogram / kde plot options for scatter_matrix diagonals (#1237) Add inplace option to Series/DataFrame.rename and sort_index, DataFrame.drop_duplicates (...