---
widget:
  structuredData:
    SepalLengthCm:
    - 5.1
    - 4.9
    - 6.2
    SepalWidthCm:
    - 3.5
    - 3
    - 3.4
    PetalLengthCm:
    - 1.4
    - 1.4
    - 5.4
    PetalWidthCm:
    - 0.2
    - 0.2
    - 2.3
tags:
- tabular-classification
- sklearn
---
### How to use

```python

import joblib
from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split

REPO_ID = "d2i-pti-iu/test_svc_model"
FILENAME = "iris_svm.joblib"
model = joblib.load("../d2i-pti-iu/iris_test/iris_svm.joblib")
iris = load_iris()

X = iris.data[:3]
Y = iris.target[:3]
labels = model.predict(X)
```



#### Eval

```python
model.score(X, Y)
```