Examples of 'classification accuracy' in a sentence
Meaning of "classification accuracy"
classification accuracy - a metric used in machine learning and statistics to determine the percentage of correct predictions made by a classification model. It is a measure of how accurately the model is able to classify new, unseen data points into their correct categories
How to use "classification accuracy" in a sentence
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classification accuracy
Classification accuracy of the results of a search engine.
This allowed for improved classification accuracy.
The stored values of classification accuracy can be rewritten by an external data processing system.
One may want to increase the classification accuracy.
Classification accuracy refers to how correctly the image is interpreted compared to the ground conditions.
Can increase the classification accuracy.
Classification accuracy was assessed using overall accuracy and Kappa coefficient.
Goodness of fit was evaluated by model calibration and classification accuracy.
It means the classification accuracy is high.
The use of multiple dates improves the classification accuracy.
Classification accuracy can be affected by many factors such as,.
The number on the lower right shows the classification accuracy.
The classification accuracy improved also in 3rd return data.
The next step in the evaluation was to determine the classification accuracy of mixed samples.
The classification accuracy was measured using the F1 score.
See also
The compensations decreased intensity variation within targets and improved classification accuracy between targets.
Thus, classification accuracy was influenced by cancer stage, Table XII.
Issues Manitoba The best classification accuracy occurs in Manitoba.
Besides that, class unbalancing is also a barrier to achieve good classification accuracy.
First of all, we evaluate the classification accuracy of the proposed approach.
In a series of experiments, we show that spaced seeds consistently improve the classification accuracy.
Oberai and his team achieved nearly 100 % classification accuracy on other synthetic images.
For this, seven reduction techniques are evaluated for processing time and classification accuracy.
FIG.6 is a flowchart of a classification accuracy selection procedure.
The classification accuracy obtained from SPOT HRV image classification was 81 %.
Analysis of air-photo classification accuracy.
The system 's classification accuracy was 83 % when all the samples were analyzed.
The canonical discriminant analysis gave the best results with a classification accuracy of over 99 percent.
With harsher three tree class categorization 87% classification accuracy was reached.
The performance of the proposed algorithm has an average classification accuracy of 95.2 percent.
The researchers achieved nearly 100 per cent classification accuracy on synthetic images.
Fig . 1, Resolution capability and classification accuracy.
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