https://github.com/capsuleismail/spambase
Classifying Email as Spam or Non-Spam with RandomForestClassifier
https://github.com/capsuleismail/spambase
datascience jupyter-notebook machinelearning-python scikit-learn
Last synced: 9 months ago
JSON representation
Classifying Email as Spam or Non-Spam with RandomForestClassifier
- Host: GitHub
- URL: https://github.com/capsuleismail/spambase
- Owner: capsuleismail
- License: cc-by-4.0
- Created: 2024-07-30T18:31:23.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-02-26T11:45:51.000Z (about 1 year ago)
- Last Synced: 2025-03-12T23:18:16.898Z (about 1 year ago)
- Topics: datascience, jupyter-notebook, machinelearning-python, scikit-learn
- Language: Jupyter Notebook
- Homepage:
- Size: 195 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
### Spambase.
Classifying Email as Spam or Non-Spam.
### From:
Repository for ML and Experimenting of data hosted on [UCI Machine Learning Archives](https://archive.ics.uci.edu/)
### Citation:
Hopkins, Mark, Reeber,Erik, Forman,George, and Suermondt,Jaap. (1999). Spambase. UCI Machine Learning Repository. https://doi.org/10.24432/C53G6X.
### How to download it straight to your notebook:
```!pip install ucimlrepo
from ucimlrepo import fetch_ucirepo
spambase = fetch_ucirepo(id=94)
# X as pandas.dataframe
X = spambase.data.features
# Y as target
y = np.ravel(spambase.data.targets)
# metadata
print(spambase.metadata)
# variable information
print(spambase.variables)```