It really depends on our “goal” and our dataset. Classification Accuracy (or misclassification error) makes sense if our class labels are uniformly distributed. Even better, we can compute the ROC area under the curve (even for multi-class sytems), e.g., have a look at the niceICML’04...
Naive Bayes:The Naive Bayes algorithm can be used for classifying problems with more than two classes. It includes Multinomial Naive Bayes, Bernoulli Naive Bayes, and Gaussian Naive Bayes. Naive Bayes classifiers are a group of classification algorithms based on Bayes’ Theorem. They are not just ...
This work proposes a deep learning and fuzzy entropy slime mould algorithm-based architecture for multiclass skin lesion classification. In the first step, we employed the data augmentation technique to increase the training data and further utilized it for training two fine-tuned deep learning ...
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Create new features effortlessly with a single line of code. featurewiz enables you to generate hundreds of interaction, group-by, or target-encoded features, eliminating the need for expert-level skills. What is MRMR? featurewiz provides one of the best automatic feature selection algorithms, MRM...
the algorithms under investigation are not independent [150]. Simulation must therefore be handled with care or used in conjunction with the other types of data mentioned above. Good simulation should not ignore important features of real data and conclusions should be drawn carefully. Two examples ...
1. Mathematics for Machine Learning Before mastering machine learning, it's essential to grasp the fundamental mathematical concepts that underpin these algorithms. ConceptDescription Linear Algebra Crucial for understanding many algorithms, especially in deep learning. Key concepts incl...
(including 12 conventional classification algorithms, two ensemble-learning frameworks and seven deep-learning approaches) and 19 major sequence encoding schemes (in total 147 feature descriptors), outnumbering all the current web servers and stand-alone tools for biological sequence analysis, to the ...
More on the stochastic nature of ML algorithms here: https://machinelearningmastery.com/randomness-in-machine-learning/ Reply Kapil July 19, 2017 at 7:37 am # Thanks Jason for the post. So, in training time the code runs in parallel. I am trying to figure out does the parallelism ha...