Psst.. new poll here.
Psst.. new forums here.
Microsoft is blocking us again (TY IP Reputation!) so dont bother with any of their useless mail servers here and just use oauth login instead. Thank the nice Russians for causing that. :)
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Pasted as Python by registered user vvillacorta ( 4 years ago )
import statsmodels.api as sm
logit_model = sm.Logit(train[target], X_train_scaler)
modelo_log_sm = logit_model.fit()
print(modelo_log_sm.summary2())
def calcular_pesos(modelo, new_cols_select):
coef_model = pd.DataFrame(modelo.tvalues,columns=['t_value']).reset_index()
coef_model['t_value2'] = np.power(coef_model['t_value'],2)
coef_model['total'] = sum(coef_model['t_value2'])
coef_model['part'] = coef_model['t_value2'] / coef_model['total']
coef_model['pesos'] = coef_model['part'] * 100
coef_model['variable'] = coef_model['index'].apply(lambda _: new_cols_select[int(_.replace('x', '')) - 1])
return coef_model.sort_values(['pesos'], ascending=False)
calcular_pesos(modelo_log_sm, seleccionadas)
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