Edit model card
YAML Metadata Error: "widget" must be an array

Model description

Hyperparameters

Click to expand
Hyperparameter Value
bootstrap True
ccp_alpha 0.0
class_weight
criterion gini
max_depth
max_features sqrt
max_leaf_nodes
max_samples
min_impurity_decrease 0.0
min_samples_leaf 1
min_samples_split 2
min_weight_fraction_leaf 0.0
n_estimators 100
n_jobs
oob_score False
random_state
verbose 0
warm_start False

Model Plot

RandomForestClassifier()
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.

Evaluation Results

Metric Value
accuracy 0.9041
roc_auc 0.9157

How to Get Started with the Model

import joblib
from skops.hub_utils import download
download("sulpha/student_academic_success", "path_to_folder")
model = joblib.load(
    "model.pkl"
)

Model Card Authors

This model card is written by following authors:

@sulpha

Model Card Contact

You can contact the model card authors through following channels: github.com/sulphatet

Citation

Below you can find information related to citation.

BibTeX:

Valentim Realinho, Jorge Machado, Luís Baptista, & Mónica V. Martins. (2021). Predict students' dropout and academic success (1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5777340

model_description

This is a RandomForest Classifier trained on student academic performance data.

limitations

This model is trained for educational purposes.

Confusion Matrix

Confusion Matrix

Downloads last month
0
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.