In machine learning and statistics, classification is the problem of identifying which of a set of categories a new observation belongs to, on the basis of a training set of data containing observations whose category membership (label) is known.
I've been using the ada R package for a while, and more recently, caret. According to the documentation, caret's train() …
r machine-learning data-mining classification adaboostI am trying to implement an application that uses AdaBoost algorithm. I know that AdaBoost uses set of weak classifiers, …
machine-learning artificial-intelligence classification adaboostI'm using the current stable version 0.13 of scikit-learn. I'm applying a linear support vector classifier to some data using the …
python scikit-learn classification svm normalizationI am new using TensorFlow and I don't know how to classify a picture with a trained model. I have …
python tensorflow classification deep-learning predictionI am trying to do classification with randomForest, but I am repeatedly getting an error message for which there seems …
r classification data-analysis random-forestI have a multiclass classification task. When I run my script based on the scikit example as the follows: classifier = …
python scikit-learn classification confusion-matrixI am currently working on a projet to perform image recognition. There is a big set of images and I …
python image-processing classification svm image-recognitionI have a datasets with information like age, city, age of children, ... and a result (confirm, accept). To help modelisation …
java algorithm machine-learning classification decision-treeI am training a binary classifier using Sigmoid activation function with Binary crossentropy which gives good accuracy around 98%. The same …
binary classification keras softmax sigmoidSo I have a matrix with my sample images (all turned into vectors) which was run trough PCA/LDA, and …
python opencv classification svm