Pratik-model 0.0.7

This package directly gives you output performance on 13 different algorithms

classification or regression algorithm to check performance. 

- This package directly gives you output performance on 13 different algorithms.





For Classification

from Pratik_model import smart_classifier



model = smart_classifier(x,y)

model.accuracy_score()

model.classification_report()

model.confusion_matrix()

model.cross_validation()

model.mean_absolute_error()

model.precision_score()

model.recall_score()

model.mean_absolute_error()

model.mean_absolute_error()

model.mean_squared_error()

model.cross_validation()



For Regression 

from Pratik_model import smart_regressor



model=smart_regressor(x,y)

model.r2_score()

model.mean_absolute_error()

model.mean_absolute_error()

model.mean_squared_error()

model.cross_validation()

model.overfitting()







For more details check Source code .





# First Release



0.0.2 (29/3/2022)



# Thank You!!.

License-File: LICENSE.txt