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1 year ago | |
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src | 1 year ago | |
README.md | 1 year ago | |
data.csv | 1 year ago |
README.md
Plotabit
Dataset link: https://www.kaggle.com/datasets/fedesoriano/stellar-classification-dataset-sdss17
Deep Learning: https://machinelearningmastery.com/tutorial-first-neural-network-python-keras/
Python Machine Learning: https://machinelearningmastery.com/machine-learning-in-python-step-by-step/
AI Plot data: https://machinelearningmastery.com/visualize-machine-learning-data-python-pandas/
Columns
Keep | Skip |
---|---|
alpha | obj_ID |
delta | run_ID |
u | rerun_ID |
g | plate |
r | MJD |
i | fiber_ID |
z | |
redshift |
Analysis
- Train models with just 20000 "GALAXY" class (has an impact?)
- Which model is the best, ratio learn_time/precision
- Can we drop more categories and have same results (useless data?)
- Compare prediction with y_test that were false