Examples of using Classification or regression in English and their translations into Chinese
{-}
-
Political
-
Ecclesiastic
-
Programming
Is this a classification or regression problem?
It uses a non-parametric method for classification or regression.
For a normal classification or regression problem we would do this using cross validation.
It is a nonparametric method used for classification or regression.
The impurity at is computed using an impurity function,the choice of which depends on the task being solved(classification or regression).
Most types of Machine Learning projects result in a classification or regression typically using supervised learning approaches.
If the code example was two-class classification, update it for multi-class classification or regression.
The output of k-NN depends on whether it is used for classification or regression: In k-NN classification, the output is a class membership.
This includes algorithms like supervised, unsupervised, segmentation, classification, or regression.
The final layer(s) use all these generated features for classification or regression(the last layer in a convolutional net is, essentially, multinomial logistic regression). .
The output of k-NN depends on whether it is used for classification or regression:.
These can be regions of consistent category or of constant value,depending on whether you are doing classification or regression.
This is often used in combination with classification or regression.
To understand what it's doing, you first have to understand that most machinelearning problems can be broken down into either classification or regression.
First, transfer-learning research primarily focuses on classification or regression problems.
These can be regions of consistent category or of constant value,depending on whether you are doing classification or regression.
The output depends on whether k-NN is used for classification or regression:.
The output depends on whether k-NN is used for classification or regression:.
The output of k-NN depends on whether it is used for classification or regression:.
The throughput is reliable on whether k-NN is used for classification or regression:.
The throughput is reliable on whether k-NN is used for classification or regression:.
The output is determineddifferently when k-NN is used for classification or regression:.
They are adaptable atsolving any kind of problem at hand(classification or regression).
The output is determineddifferently when k-NN is used for classification or regression:.
They are adaptable atsolving any kind of problem at hand(classification or regression).
They are adaptable atsolving any kind of problem at hand(classification or regression).
It is a decision tree learning technique that outputs either classification or regression trees.
Basically, it is a supervised Machine Learning algorithm for classification or regression problems.
It is a decision tree learning technique that outputs either classification or regression trees.
SVM is a supervised machinelearning algorithm which can be used for classification or regression problems.