Explanation of Machine Learning Models of Colon Cancer Using SHAP Considering Interaction Effects.
Yasunobu NoharaToyoshi InoguchiChinatsu NojiriNaoki NakashimaPublished in: CoRR (2022)
Keyphrases
- machine learning models
- interaction effects
- colon cancer
- cancer diagnosis
- gene expression
- machine learning algorithms
- machine learning approaches
- statistically significant
- experimental design
- spam filtering
- microarray
- gene expression data
- pedagogical agents
- learning models
- microarray data
- statistical significance
- predictive model
- gene selection
- measurement error
- machine learning
- neural network
- data sets
- training samples
- supervised learning
- e learning
- learning algorithm