Logit Model Gradient Descent for Back Propagation












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How can I implement Back Propagation with Logit Model getting an accuracy of 90% need to propagate backward for future predictions.
This is my Python Code::



import pandas as pd

import numpy as np

import statsmodels.api as sm

from sklearn.model_selection import train_test_split

fields = ["articleStatus","keywordcount","avgKeywordSum","prominaceRatio"]

df=pd.read_csv("Processing_result.csv",skipinitialspace=True,usecols=fields)

X = df[['keywordcount','prominaceRatio']]
y = df[['articleStatus']]
y = np.ravel(y)
X_train, X_test, y_train, y_test = train_test_split(X, y, random_state= 0)

X2 = sm.add_constant(X)

est = sm.Logit(y, X2)
est2 = est.fit()
print(est2.summary())








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    $begingroup$


    How can I implement Back Propagation with Logit Model getting an accuracy of 90% need to propagate backward for future predictions.
    This is my Python Code::



    import pandas as pd

    import numpy as np

    import statsmodels.api as sm

    from sklearn.model_selection import train_test_split

    fields = ["articleStatus","keywordcount","avgKeywordSum","prominaceRatio"]

    df=pd.read_csv("Processing_result.csv",skipinitialspace=True,usecols=fields)

    X = df[['keywordcount','prominaceRatio']]
    y = df[['articleStatus']]
    y = np.ravel(y)
    X_train, X_test, y_train, y_test = train_test_split(X, y, random_state= 0)

    X2 = sm.add_constant(X)

    est = sm.Logit(y, X2)
    est2 = est.fit()
    print(est2.summary())








    share







    New contributor




    Ankit srivastava is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.







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      $begingroup$


      How can I implement Back Propagation with Logit Model getting an accuracy of 90% need to propagate backward for future predictions.
      This is my Python Code::



      import pandas as pd

      import numpy as np

      import statsmodels.api as sm

      from sklearn.model_selection import train_test_split

      fields = ["articleStatus","keywordcount","avgKeywordSum","prominaceRatio"]

      df=pd.read_csv("Processing_result.csv",skipinitialspace=True,usecols=fields)

      X = df[['keywordcount','prominaceRatio']]
      y = df[['articleStatus']]
      y = np.ravel(y)
      X_train, X_test, y_train, y_test = train_test_split(X, y, random_state= 0)

      X2 = sm.add_constant(X)

      est = sm.Logit(y, X2)
      est2 = est.fit()
      print(est2.summary())








      share







      New contributor




      Ankit srivastava is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.







      $endgroup$




      How can I implement Back Propagation with Logit Model getting an accuracy of 90% need to propagate backward for future predictions.
      This is my Python Code::



      import pandas as pd

      import numpy as np

      import statsmodels.api as sm

      from sklearn.model_selection import train_test_split

      fields = ["articleStatus","keywordcount","avgKeywordSum","prominaceRatio"]

      df=pd.read_csv("Processing_result.csv",skipinitialspace=True,usecols=fields)

      X = df[['keywordcount','prominaceRatio']]
      y = df[['articleStatus']]
      y = np.ravel(y)
      X_train, X_test, y_train, y_test = train_test_split(X, y, random_state= 0)

      X2 = sm.add_constant(X)

      est = sm.Logit(y, X2)
      est2 = est.fit()
      print(est2.summary())






      machine-learning python logistic-regression





      share







      New contributor




      Ankit srivastava is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.










      share







      New contributor




      Ankit srivastava is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.








      share



      share






      New contributor




      Ankit srivastava is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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      asked 39 secs ago









      Ankit srivastavaAnkit srivastava

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      New contributor





      Ankit srivastava is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.






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