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Multivariate Time series analysis: When is a CNN vs. LSTM appropriate?

I have multiple features in a time series and want to predict the values of the same features for the next time step. I have already trained an LSTM which...

Asked on 09/05/2021 by drops

3 answer

Multi-country model or single model

I am working on a ML model to be deployed in a product operating in many countries. The issue that I am having is the following: should Itrain one model...

Asked on 09/05/2021 by David Masip

7 answer

How to measure deviance resulting from different random seeds in machine learning?

I'm running an xgboost model to predict probabilities to a binary classification problem. Then I aggregate the results based on the Age variable (what is the aggregated risk of getting...

Asked on 09/05/2021 by user100740

1 answer

Confidence rating for regression tasks

In classification tasks, we can interpret the output vector as how "confident" the model is that the input has a certain label. For example,y = [0.01 0.20 ...

Asked on 09/05/2021 by Mossmyr

2 answer

Output value of a gradient boosting decision tree node that has just a single example in it

The general gradient boosting algorithm for tree-based classifiers is as follows: Input: training set ${displaystyle {(x_{i},y_{i})}_{i=1}^{n},}{displaystyle {(x_{i},y_{i})}_{i=1}^{n},}$a differentiable loss function ${displaystyle L(y,F(x)),}{displaystyle L(y,F(x)),}$ number of iterations M. Algorithm:Initialize...

Asked on 09/05/2021

0 answer

Cost sensitive learning and class balancing

I am facing a classification problem with classes that are really imbalanced (more or less 1% of positive cases). In addition, the "cost" of a False Negative (FN) is much...

Asked on 09/05/2021 by A1010

2 answer

How to perform feature selection on dataset with categorical and numerical features?

I am working on a dataset with 30 columns (29 numerical, 1 non-ordinal categorical). I hot-encoded the categorical feature and reached at 35 columns. To improve training efficiency, I want...

Asked on 09/05/2021 by Songyu Yan

2 answer

LSTM for time series forcasting

I manipulate the time series using the different structures of the neural networks in order to make a prediction, and I wonder if there is a way to choose the...

Asked on 09/05/2021 by El abassi Rida

1 answer

AlexNet CNN how can it be applied to my case?

I'm working on my last year project where I'm given digitized WSI (Whole Slide Images), though they're fairly small around 1390x1040 size (which is unusual). These images are of cases...

Asked on 09/05/2021 by Vocaloidas

4 answer

Best common metric for comparing classic time series forecasting methods (ARIMA/Prophet) with ML approach?

I am new to time series forecasting and looking to compare the performance of ARIMA/Prophet with an XGBoost model in predicting future stock market values based on historical stock market...

Asked on 09/05/2021 by Darcey BM

3 answer

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