Any suggestions regarding choice of machine learning method, if dataset is small or large, imbalanced, dimention is greater than size of instance?

More Soumen Roy's questions See All

What is the difference between LOOCV and LOUOCV?

Leave one out cross validation and leave one user out cross validation are more appropriate machine learning model evaluation test options. But what is the main difference between these two?

08 September 2018 2,961 0 View

Which type of CV test option is appropriate to evaluate machine learning model when repeated samples for each sub are included in the dataset?

Many type of Cross Validation test options (k-fold, 2 fold, 5 fold, 10 fold, training vs testing ratio, LOOCV, LOUOCV, Bootstrap, ...) are used to evaluate the system performance. But which one is...

07 August 2018 6,511 3 View

How class imbalanced is handled in cross validation?

Class imbalance dataset in training samples during CV decreases the model accuracy. How it can be handled?

07 August 2018 4,368 3 View

Deep learning model is best suited when the dataset is unstructured and larger, if the dataset is small, is oversampling would be the solution?

Deep learning is suitable in the domain of image classification, object detection when dataset is unstructured and must be larger. Is oversampling is suitable to make the dataset larger and could...

07 August 2018 6,735 8 View

Why should we choose deep learning to machine learning? Why is CNN better for image classification? Can I get Typical Answer?

What Characteristics makes CNN work better?

03 March 2021 1,458 4 View

What are some of the research gaps in machine learning and artificial intelligence in africa?

i would to know some of the research gaps in the artificial intelligence field in most african countries.

03 March 2021 6,145 3 View

Can we classify HV and LV lines based on line length?

I have dataset which shows the length of power lines. I need to classify the lines based on the line length. Is there a rule to classify the High voltage (HV) and low voltage (LV) lines based on...

03 March 2021 4,116 4 View

Anyone plz suggest relevant topic for research in image processing+Deep learning.?

I have selected brain tumor images ...but now found that already lots of research done n this topic.

03 March 2021 5,774 3 View

How to increase a model accuracy ?

dear community, my model is based feature extraction from non stationary signals using discrete Wavelet Transform and then using statistical features then machine learning classifiers in order to...

03 March 2021 6,994 5 View

What analysis to choose with a large neste dataset and clearly skewed or kurtotic distributions?

Hello! I have a dataset of n=3000 nested within 8 countries with approximately 200 or 400 responses in each country. I originally planned to perform multilevel modelling with 4 dependent variables...

02 March 2021 6,865 1 View

Can you share me how teacher education is managed in your respective national educational system?

I feel that the practice in teacher education in my country is below the expected performance level due to very poor management system. Hope I will learn something from your experiences.

02 March 2021 1,516 4 View

Do you know any MR image dataset?

I would like to research on MR images (0.5T and 3T). Can you please suggest some websites that I can download dataset including both 0.5T and 3T MR images? Thank you.

02 March 2021 7,735 3 View

Can NFL theorem be valid in infinite search space in ML?

NFL theorem is valid for algorithms training in fixed training set. However, the general characteristic of algorithms in expanded or open dataset has not been proved yet. Could you show your...

01 March 2021 1,189 3 View

Does anyone have kinetic and kinematic dataset for gait classification?

I want to differentiate between normal and abnormal movement. For this reason, I am looking forward to this type of dataset.

01 March 2021 9,485 1 View

Erik Cuevas

Machine learnin techniques opérates in all these cases. I recomend you bosting schemes. They conider cases in which the data set is reduced and even with outliers

Aws Naser Jaber

Try hybrid LDA-PCA it should work smoother

Mohammed Abdallah Bakr Mahmoud

You can use the generated images from generator network of GAN model to oversample the minor class