Downloads · 30 days
9
4% of all-time downloads
autotrain-iris-744122711
vabadeh213/autotrain-iris-744122711
autotrain-iris-744122711 is a machine learning model from vabadeh213. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
- Problem type: Multi-class Classification - Model ID: 744122711 - CO2 Emissions (in grams): 0.0006493037575021453
All-time downloads
214
Public
Repo size
4.4 KB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.joblib4.4 KB · 64%
At a glance
- Library
- transformers
- Model type
- decision_tree
- Access
- Public
- Created
- Apr 15, 2022
- Updated
- Apr 15, 2022
- SHA
- 6054706a
Datasets
Model card
From the Hugging Face model README
Model Trained Using AutoTrain
- Problem type: Multi-class Classification
- Model ID: 744122711
- CO2 Emissions (in grams): 0.0006493037575021453
Validation Metrics
- Loss: 0.09241962407466127
- Accuracy: 0.9666666666666667
- Macro F1: 0.9665831244778613
- Micro F1: 0.9666666666666667
- Weighted F1: 0.9665831244778613
- Macro Precision: 0.9696969696969697
- Micro Precision: 0.9666666666666667
- Weighted Precision: 0.9696969696969696
- Macro Recall: 0.9666666666666667
- Micro Recall: 0.9666666666666667
- Weighted Recall: 0.9666666666666667
Usage
import json
import joblib
model = joblib.load('model.joblib')
config = json.load(open('config.json'))
features = config['features']
# data = pd.read_csv("data.csv")
data = data[features]
predictions = model.predict(data) # or model.predict_proba(data)
- Library
- transformers
- Type
- decision_tree
- Created
- Apr 15, 2022
- Updated
- Apr 15, 2022