在 英语 中使用 Classification accuracy 的示例及其翻译为 中文
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It has been shown that ELUs obtain higher classification accuracy than ReLUs.
Once the classification accuracy on the validation_data has saturated, we stop training.
How does Area Under the Curve(AUC) differ from classification accuracy?
Experiment result shows that classification accuracy of the system can reach 91.63%.
The classification accuracy is the percentage of correctly classified examples out of all predictions made.
In both cases, we end up with a classification accuracy somewhat over 96 percent.
Good classification accuracy on this problem is above 90% correct, typically 96% or better.
Finally, at around epoch 280 the classification accuracy pretty much stops improving.
Second, classification accuracy is based on a simple count of the errors, and you should know more than this.
Overall, the UTSA's smart system has a 90% vehicle detection rate anda vehicle classification accuracy of 72%.
Let's now look at how the classification accuracy on the test data changes over time:.
Using Geographic Information Systems to Determine Street, Road,and Highway Functional Classification Accuracy.
Both methods achieved the same 70-percent classification accuracy, indicating AprilTags are no longer needed.
The classification accuracy is 83.5%, which keeps consistent with the accuracy obtained by the cross-validation technique.
For example, the graph below shows the image classification accuracy of different methods on the ImageNet dataset;
Each approach is quite precise, andsome experts claimed that they could achieve approximately 65% of sentiment classification accuracy.
Where y is the classification accuracy, x is the training set, and b1,b2 correspond to the learning rate and decay rate.
As an example, the random forest algorithm combines random decisiontrees with bagging to achieve very high classification accuracy.
Neural networks can now offer superior classification accuracy in many domains, such as computer vision or natural language processing.
This makes it more likely that the interval boundaries(split-points)are defined to occur in places that may help improve classification accuracy.
CaffeOnSpark has enabled Flickr to train millions of photos on Hadoop clusters,and improve classification accuracy significantly.
In terms of parameterized learning, this involves tuning parameters such as our weight matrix W orbias vector b to improve classification accuracy.
A standard benchmark used by computer vision researchershas shown a fourfold improvement in image classification accuracy from 2010 to 2014.
The non-linearity of the network, as well as the ability to easily integrate pre-trained word embeddings,often lead to superior classification accuracy.
It says that internally, in tests of an updated version of Rekognition,it observed“no difference” in gender classification accuracy across all ethnicities.
There are many ways to estimate the skill of a classification predictive model,but perhaps the most common is to calculate the classification accuracy.
Moreover, because the researchers had tuned ShadowCam specifically to the garage's lighting conditions,the system achieved a classification accuracy of around 86 percent.
Moreover, because the researchers had tuned ShadowCam specifically to the garage's lighting conditions,the system achieved a classification accuracy of around 86 percent.
In binary and multiclass classification, the Jaccard similarity coefficient score is equal to the classification accuracy.
As you can see, the classification accuracies improve considerably as we use more training data.