---
library_name: sklearn
tags:
- sklearn
- skops
- tabular-classification
model_format: pickle
model_file: model1.pkl
widget:
structuredData:
Age at enrollment:
- 20
- 19
- 19
Application mode:
- 8
- 6
- 1
Application order:
- 5
- 1
- 5
Course:
- 2
- 11
- 5
Curricular units 1st sem (approved):
- 0
- 6
- 0
Curricular units 1st sem (credited):
- 0
- 0
- 0
Curricular units 1st sem (enrolled):
- 0
- 6
- 6
Curricular units 1st sem (evaluations):
- 0
- 6
- 0
Curricular units 1st sem (grade):
- 0.0
- 14.0
- 0.0
Curricular units 1st sem (without evaluations):
- 0
- 0
- 0
Curricular units 2nd sem (approved):
- 0
- 6
- 0
Curricular units 2nd sem (credited):
- 0
- 0
- 0
Curricular units 2nd sem (enrolled):
- 0
- 6
- 6
Curricular units 2nd sem (evaluations):
- 0
- 6
- 0
Curricular units 2nd sem (grade):
- 0.0
- 13.666666666666666
- 0.0
Curricular units 2nd sem (without evaluations):
- 0
- 0
- 0
Daytime/evening attendance:
- 1
- 1
- 1
Debtor:
- 0
- 0
- 0
Displaced:
- 1
- 1
- 1
Educational special needs:
- 0
- 0
- 0
Father's occupation:
- 10
- 4
- 10
Father's qualification:
- 10
- 3
- 27
GDP:
- 1.74
- 0.79
- 1.74
Gender:
- 1
- 1
- 1
Inflation rate:
- 1.4
- -0.3
- 1.4
International:
- 0
- 0
- 0
Marital status:
- 1
- 1
- 1
Mother's occupation:
- 6
- 4
- 10
Mother's qualification:
- 13
- 1
- 22
Nacionality:
- 1
- 1
- 1
Previous qualification:
- 1
- 1
- 1
Scholarship holder:
- 0
- 0
- 0
Tuition fees up to date:
- 1
- 0
- 0
Unemployment rate:
- 10.8
- 13.9
- 10.8
---
# Model description
[More Information Needed]
## Intended uses & limitations
[More Information Needed]
## Training Procedure
[More Information Needed]
### 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()
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