Model evaluation MLP NN and SVM classification (sklearn library)

Name: Model evaluation MLP NN and SVM classification (sklearn library)
Creator: SITI NURFADILAH BINTI JAINI
Published: 2020-05-04T04:44:59.713Z
Keywords: Code of Practice

JAINI, SITI NURFADILAH BINTI

doi:10.17632/5hsnd5tgj9.1

Model evaluation MLP NN and SVM classification (sklearn library)

Published: 04-05-2020| Version 1 | DOI: 10.17632/5hsnd5tgj9.1

Contributor:

SITI NURFADILAH BINTI JAINI

Description

Numerous functions were available in the construction of Multi-Layer Perceptron Neural Network algorithms. Stochastic learning helps in evaluating the MLP NN model based on the datasets. An efficient MLP NN model must had least loss function and high training score. On the other hand, k-fold cross-validation was applied in evaluating SVM model.

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Steps to reproduce

Execute through python, copy code in python software