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Run a neural net model on these data, using a single hidden layer with five nodes. Remember to first convert categorical variables into dummies and scale numerical predictor variables to 0–1 (use the scikit-learn transformer MinMaxScaler()). Create a decile lift chart for the training and validation sets. Interpret the meaning (in business terms) of the leftmost bar of the validation decile lift chart. Comment on the difference between the training and validation lift charts. Run a second neural net model on the data, this time setting the number of hidden nodes to 1. Comment now on the difference between this model and the model you ran earlier, and how overfitting might have affected results. What sort of information, if any, is provided about the effects of the various variables?
ID projekta: 29897716

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Hello, I understand your requirements and am eager to tell you that I may have the best deal for you. I am available to fulfill your all project details which you have mentioned. Being Chartered Accountant, I come with over 05 years of experience in providing business analysis. Feel free to contact and discuss your further requirements. I guarantee you: Best Quality, Reliable Service 100% Satisfaction. Money back guarantee. Looking forward to hear from you soon. Thank You Best Regards Faizan Saeed
$25 USD v 1 dnevu
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2,6
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O stranki

Zastava SAUDI ARABIA
Dammam, Saudi Arabia
5,0
19
Plačilna metoda je verificirana
Član(ica) od jul. 17, 2020

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