Tabular Classification
Keras
Scikit-learn
English
tensorflow
random-forest
cnn
clustering
nlp
computer-vision
recommendation-system
time-series
streamlit
Instructions to use OKTAYBBS/DataScientst-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use OKTAYBBS/DataScientst-models with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://OKTAYBBS/DataScientst-models") - Scikit-learn
How to use OKTAYBBS/DataScientst-models with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("OKTAYBBS/DataScientst-models", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
Upload metrics_summary.csv with huggingface_hub
Browse files- metrics_summary.csv +26 -0
metrics_summary.csv
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
Proje,Tip,Skor,Skor Adı
|
| 2 |
+
gold,Regresyon,0.9904,R²
|
| 3 |
+
student,Regresyon,0.8489,R²
|
| 4 |
+
uber,Regresyon,0.7775,R²
|
| 5 |
+
mobile,Sınıflandırma,0.8125,Accuracy
|
| 6 |
+
wine,Sınıflandırma,0.675,Accuracy
|
| 7 |
+
churn,Sınıflandırma,0.7889,Accuracy
|
| 8 |
+
nba,Kümeleme,0.452,Silhouette
|
| 9 |
+
creditcard,Kümeleme,0.5309,Silhouette
|
| 10 |
+
spotify,Kümeleme,0.3269,Silhouette
|
| 11 |
+
mask,Sınıflandırma,0.825,Accuracy
|
| 12 |
+
sms,Sınıflandırma,0.9803,Accuracy
|
| 13 |
+
imdb_sentiment,Sınıflandırma,0.873,Accuracy
|
| 14 |
+
fake_news,Sınıflandırma,0.9756,Accuracy
|
| 15 |
+
movie_rec,Metriksiz,,-
|
| 16 |
+
book_rec,Metriksiz,,-
|
| 17 |
+
song_rec,Metriksiz,,-
|
| 18 |
+
stock,Regresyon,0.975,R²
|
| 19 |
+
weather,Regresyon,0.912,R²
|
| 20 |
+
walmart,Regresyon,0.7669,R²
|
| 21 |
+
social_media_viz,Metriksiz,,-
|
| 22 |
+
co2_viz,Metriksiz,,-
|
| 23 |
+
ecommerce_viz,Metriksiz,,-
|
| 24 |
+
pneumonia,Derin Öğrenme,0.925,Val_Accuracy
|
| 25 |
+
face_emotion,Derin Öğrenme,0.6542,Val_Accuracy
|
| 26 |
+
text_gen,Metriksiz,,-
|