Tutorial-3

Importing the package

import nz_seqtech

Importing classical_ml_models module

from nz_seqtech.classical_ml_models import gaussian_process_model, decision_tree_model, suggested_dataset1

Testing gaussian_process_model with a suggested dataset

gaussian_process_model(suggested_data=True)

              precision    recall  f1-score   support

           0       1.00      0.82      0.90        17
           1       0.77      1.00      0.87        10

    accuracy                           0.89        27
   macro avg       0.88      0.91      0.89        27
weighted avg       0.91      0.89      0.89        27

Testing decision_tree_model with a loaded dataset

# Load data from npy files
X_train = numpy.load('x_train.npy')
X_test = numpy.load('x_test.npy')
Y_train = numpy.load('y_train.npy')
Y_test = numpy.load('y_test.npy')

decision_tree_model(X_train,X_test,Y_train,Y_test,suggested_data=False)

              precision    recall  f1-score   support

           0       0.50      0.33      0.40         6
           1       0.75      0.86      0.80        14

    accuracy                           0.70        20
   macro avg       0.62      0.60      0.60        20
weighted avg       0.68      0.70      0.68        20