Teachable Machine: Approachable Web-Based Tool for Exploring Machine Learning Classification.
Michelle CarneyBarron WebsterIrene AlvaradoKyle PhillipsNoura HowellJordan GriffithJonas JongejanAmit PitaruAlexander ChenPublished in: CHI Extended Abstracts (2020)
Keyphrases
- machine learning
- machine learning methods
- decision trees
- feature selection
- pattern recognition
- machine learning algorithms
- support vector machine
- supervised machine learning
- supervised learning
- text classification
- supervised classification
- classification systems
- classification accuracy
- classification scheme
- information extraction
- classification algorithm
- classification method
- machine learning approaches
- classification rules
- roc analysis
- predictive modeling
- data mining
- pattern classification
- automatic classification
- explanation based learning
- feature extraction
- support vector
- semi supervised learning
- computer science
- feature space
- learning systems
- knowledge representation
- image classification
- face recognition
- reinforcement learning
- preprocessing
- statistical learning
- knowledge acquisition
- model selection
- training samples
- support vector machine svm
- decision rules
- class labels