Data Science Questions, Problems & Solutions : TransWikia.com ~ Page 277

How can we model the class which maximizes the event probability?

I’d like to ask about a case when we would like to predict the best class of some input variable, so that the probability of event will be maximized. ...

Asked on 12/18/2020 by user73749

3 answer

Decision Trees and Feature Selection

I'm trying to experiment with the performance of different machine learning algorithms before and after applying feature selection. I tested SVM, Random Forest, KNN, Linear Regression, and, Decision Tree and...

Asked on 12/18/2020 by NST

2 answer

Can I test my already trained model using the data it was trained on?

I have a model that predicts multiple choice answers to questions. I used an 80/20 train test split of my questions and tuned it. The questions actually form part of...

Asked on 12/18/2020 by OultimoCoder

1 answer

Do learning rate scheduler have any significant improvement or redundant on Adam optimizer?

As in paper, Adam optimizer is adaptive learning rates algorithm. Is learning rate scheduler become redundant when use with Adam and AdamW ? Is it best practices...

Asked on 12/18/2020 by Haha TTpro

0 answer

Not sure how to manage 1 hot encoded data in RNN

ContextI am trying to build a plain RNN using Tensorflow for letter-level language detection. I realize that my approach isn't the ideal one, but I'm trying to learn by doing...

Asked on 12/18/2020 by wheresmycookie

0 answer

Using DNN as the objective function for a multi-objective optimization algorithm

When creating a multi-objective optimisation/MCDM algorithm such as NSGA-ii, does it make sense to use a deep neural network trained on a supervised tabular regression prediction task, in place of...

Asked on 12/18/2020 by MachuPichu

1 answer

oversampling plus down sampling using smote not working on random forests

I am trying to solve a classification problem on a highly imbalanced data set. I am using SMOTE to over sample the minority samples and down sample the majority ones....

Asked on 12/18/2020

4 answer

Determine model hyper-parameter values for grid search

I built machine learning model for Ridge,lasso, elastic net and linear regression, for that I used gridsearch for the parameter tuning, i want to know how give value range for...

Asked on 12/18/2020 by randunu galhena

1 answer

Getting NN weights for every batch / epoch from Keras model

I am trying to get weights for every batch / epoch from Keras model after it is trained. To do so I use callback to make model save weights during...

Asked on 12/18/2020

2 answer

RBF neural network python library/implementation

I want to use a Radial Basis Function Neural Network for my thesis. Is there any library that implements it? And in the negative case, which is the best...

Asked on 12/18/2020 by phemps

1 answer

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