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6.9 years ago
victorya
•
0
Hi, I'm working on a project with colorectal cancer stage multiclass-classification using Gene Expression Data. My dataset contains 11 Biomarkers. The results from the classification are around 40%. I have tried different models for classification with KNN, SVM, neural network, decisions trees..., and also I have tried algorithms from ensemble machine learning. Has anyone has any idea what can I do with the dataset to improve the results?
