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titanic-survival
chrstnv/titanic-survival
titanic-survival is a tabular classification model from chrstnv. Use it for the tabular classification task on the model card, and read the license before you ship it in a product. It is set up for sklearn. The card lists the license as mit.
RandomForest (sklearn Pipeline: препроцессинг + классификатор в одном артефакте). Учебный проект.
Access
Public
Updated Jul 6, 2026
Repo size
4.6 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.joblib2.3 MB · 100%
At a glance
- Task
- Tabular Classification
- Library
- sklearn
- License
- mit
- Access
- Public
- Created
- Jul 6, 2026
- Updated
- Jul 6, 2026
- SHA
- 93dbf2af
Datasets
Model card
From the Hugging Face model README
Titanic Survival Classifier
RandomForest (sklearn Pipeline: препроцессинг + классификатор в одном артефакте).
Учебный проект.
Использование
import joblib, pandas as pd
from huggingface_hub import hf_hub_download
model = joblib.load(hf_hub_download("chrstnv/titanic-survival", "model.joblib"))
feats = ["Pclass", "Sex", "Age", "SibSp", "Parch", "Fare", "Embarked"]
model.predict(pd.read_csv("test.csv")[feats]) # принимает сырые данные
Данные
Обучена на chrstnv/titanic. Validation accuracy: 0.8156.
- Task
- Tabular Classification
- Library
- sklearn
- License
- mit
- Created
- Jul 6, 2026
- Updated
- Jul 6, 2026