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?
As I observed that if the dataset is small then tree based ML method is good, if dataset is imbalanced then svm is bad, if data is non linear then Deep learning. Could any one suggest me how can I...
03 April 2019 3,720 3 View
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
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 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
What Characteristics makes CNN work better?
03 March 2021 1,458 4 View
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
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
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
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
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
L1 and L2 regularization
28 February 2021 4,187 3 View
The following code (see 1st 2 images attached) is used to produce PID controller values that are designed to control the system (G). The code finds the PID controller values (noted as k) by using...
28 February 2021 6,560 14 View
For instance, the model is trained with A,B,C,D,E features to predict F target. Then, I want to make prediction on a new data, but with only A,C,D,E is known without doing missing value imputation...
28 February 2021 1,556 6 View
I am trying to classify and analyze the results of an SDS-PAGE based array for bacterial detection using machine learning, but I have trouble finding the best way to represent the results with...
27 February 2021 9,176 3 View