Model detection method based on feature selection
A technology of model detection and feature selection, applied in character and pattern recognition, instruments, computer components, etc., can solve the problems of large amount of calculation of Internet data, difficulty in obtaining stable data, frequent data changes, etc., to improve generalization ability, The effect of reducing the scale and improving the correctness of classification
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[0025] The present invention is further illustrated below by means of examples, but the present invention is not limited to the scope of the examples.
[0026] Such as figure 1 Shown, the model detection method based on feature selection of the present invention comprises the following steps:
[0027] Step 101, randomly split the original data set, and put the split data into the original training set, verification set and test set;
[0028] Step 102, using the original training set to train a model;
[0029] Step 103, using the model to predict the original training set and verification set, and obtain the prediction error of the original training set and the prediction error of the verification set respectively;
[0030] Step 104, delete the jth feature in the original training set to obtain a new training set, use the model to predict the new training set, and obtain the prediction error of the new training set, wherein the initial value of j is 1;
[0031] Step 105, ass...
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Abstract
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