Examples of 'confusion matrix' in a sentence
Meaning of "confusion matrix"
confusion matrix - In the context of data analysis or machine learning, a confusion matrix is a table that is used to describe the performance of a classification model on a set of test data for which the true values are known
How to use "confusion matrix" in a sentence
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confusion matrix
Adding the results to the confusion matrix.
A confusion matrix is a summary of prediction results on a classification problem.
The way we are going to model that is we are going to create a confusion matrix.
A confusion matrix will surely help.
The results are analyzed in a confusion matrix.
A confusion matrix is a technique for summarizing the performance of a classification algorithm.
Do this for all four phases of the confusion matrix.
More precisely a confusion matrix is a summary of prediction results in a classification problem.
This allows you to build the most relevant confusion matrix.
A confusion matrix contains information about actual and predicted results given by a classifier.
The classification results of the system are exhibited by using a confusion matrix.
A confusion matrix including the sample and resulting scores was used to assess model performance.
Their productions were analyzed according the criteria established by wasp protocol and by confusion matrix.
Each prediction result or instance of a confusion matrix represents one point in the ROC space.
Before training, characters are clustered based on a confusion matrix.
See also
So here 's an example of a confusion matrix for spelling errors.
Finally, the accuracy of the classification was evaluated by establishing a confusion matrix.
Next, we build a confusion matrix to check the performance of the model.
How to assess accuracy a The confusion matrix.
The confusion matrix consists of a prestored look-up table of frequently confused phonetic sounds.
In a preferred embodiment, before training, characters are clustered based on a confusion matrix.
For example, here is a sample confusion matrix for a binary classification problem,.
The extension of this concept to non-binary classifications yields the confusion matrix.
For multiple label categorization problem, the confusion matrix can be used as an evaluation metric.
To find out how the classifier performed in each class, examine the confusion matrix.
The confusion matrix for a multi-class classification problem can help you determine mistake patterns.
Furthermore, in order to validate the classification, the confusion matrix and kappa index were used.
For each model, the confusion matrix showed a very good model capacity for animal group stratification.
You could use measures such as the F1 score, the accuracy, and the confusion matrix.
With these values, we built a confusion matrix and calculated the Kappa index.
Confusion matrix of Ramen Jiro shop classifier by AutoML Vision ( Advanced mode ).
First, build a confusion matrix.
Table 5 . Confusion Matrix showing Control subjects can be distinguished from Steatosis subjects.
One way to look at this is to think of a 2-by-2 confusion matrix.
The confusion matrix changes considerably when we set the threshold to 0.3.
Table 7 . Confusion Matrix showing Steatosis subjects can be distinguished from steatohepatitis ( NASH ) subjects.
The 2 × 2 confusion matrix ( Table 4 ) shows the algorithm prediction results on the validation cohort.
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