ConfusionMatrix Class Reference Feedback Definition Namespace: Microsoft.ML.Data Assembly: Microsoft.ML.Data.dll Package: Microsoft.ML v3.0.1 Represents the confusion matrix of the classification results. C# Copy public sealed class ConfusionMatrix Inheritance Object ConfusionMatrix Properties ...
matrix:dict digit:int threshold:FunctionType (function or lambda) file:File object sample_weight: pythonlistor numpyarrayof any stringable objects transpose:bool Runhelp(ConfusionMatrix)forConfusionMatrixobject details For more information visithere ...
第二行:混淆矩阵“Confusion Matrix” 行:预测 列:真实
第二行:混淆矩阵“Confusion Matrix” 行:预测 列:真实
confusion_matrix <- test_performance %>% table confusion_matrix # 性能指标 # Performance analysis tn <- confusion_matrix[1] tp <- confusion_matrix[4] fp <- confusion_matrix[3] fn <- confusion_matrix[2] accuracy <- (tp + tn) / (tp + tn + fp + fn) ...
python multiclassConfusionMatrix(numclass = 多分类混淆矩阵 in Python 在机器学习和模式识别领域,混淆矩阵是一种用于评估分类算法性能的工具。它将算法的预测结果与实际结果进行比较,并将其分类为真阳性、真阴性、假阳性和假阴性。然而,当我们面对多类别分类的情况时,传统的混淆矩阵可能不再适用。为了解决这个问题,...
The current paper presents a novel method for reducing a multiclass confusion matrix into a 2×2 version enabling the exploitation of the relevant performance metrics and methods such as the receiver operating characteristic and area under the curve for the assessment of different classification algorit...
The originality of our work is that we propose to use the confusion matrix of a classifier as a measure of its quality; our contribution is in the line of work which attempts to set up and study the statistical properties of new evaluation measures such as, e.g. ROC curves. In the ...
'confusion_matrix': dataframe containing the confusion matrix per fold (only applicable to classification). fit Cross validate the pipeline and return the results. acceptable by the input pipeline. Sometimes there is a need to specify which examples should not be separated into different folds. Take...
To achieve it for each classifier, false positives and false negatives (FN) were mapped out into a confusion matrix, which identifies the real positives and false negatives (FN). We used statistical measures such as classification or prediction accuracy, precision, recall, and F-Measure for ...