ML-Classification-model-selector-Basavaraj100 0.0.3

It select best classfication model

ML_Classification_model_selector

Functions available

a) Model_Selector --> it is a class

• You can import his by 'from select_classifier.select_model import Model_Selector'
• initialise the Model_Selector
• eg: v=Model_Selector()

b) model_performances

• Here you need to provide dataframe and the name of the target column
• Dataframe should be free of missing values and categorical features
• This method results the performance of mentioned models in terms of accuracy,precision,recall,f1_score and roc_auc_score
• eg: v.model_performances(dataframe,'target')

c)select_best_model

• This method results the name of the model which performs best in mentioned metrics
• eg: v.model_performances(based_on='accuracy')

d)plot_model_performance

• This method results the line plot of performances of all models
• eg: v.plot_model_performance()