notebook.community

Edit and run



In [1]:

    
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
%matplotlib inline



In [3]:

    
submissions = pd.read_csv("sample_submission/sample_submission_stg1.csv")



In [4]:

    
submissions.head()









    Out[4]:






  
    
      
      image
      ALB
      BET
      DOL
      LAG
      NoF
      OTHER
      SHARK
      YFT
    
  
  
    
      0
      img_00005.jpg
      0.455003
      0.052938
      0.030969
      0.017734
      0.123081
      0.079142
      0.046585
      0.194283
    
    
      1
      img_00007.jpg
      0.455003
      0.052938
      0.030969
      0.017734
      0.123081
      0.079142
      0.046585
      0.194283
    
    
      2
      img_00009.jpg
      0.455003
      0.052938
      0.030969
      0.017734
      0.123081
      0.079142
      0.046585
      0.194283
    
    
      3
      img_00018.jpg
      0.455003
      0.052938
      0.030969
      0.017734
      0.123081
      0.079142
      0.046585
      0.194283
    
    
      4
      img_00027.jpg
      0.455003
      0.052938
      0.030969
      0.017734
      0.123081
      0.079142
      0.046585
      0.194283



In [5]:

    
submissions.shape









    Out[5]:





(1000, 9)



In [6]:

    
columns = list(submissions.columns)



In [13]:

    
random = pd.DataFrame(np.random.random_sample(size=(1000,9)),columns = columns)



In [14]:

    
random.head()



In [15]:

    
random["image"] = submissions["image"]



In [16]:

    
random.to_csv("baseline.csv",index = False)

Kaggle score : 2.41669



In [ ]:

	image	ALB	BET	DOL	LAG	NoF	OTHER	SHARK	YFT
0	0.839579	0.855175	0.945205	0.141212	0.579779	0.983546	0.390744	0.656121	0.911831
1	0.908327	0.647327	0.291706	0.970818	0.729577	0.717430	0.863081	0.262225	0.220212
2	0.936683	0.177590	0.862677	0.934528	0.381837	0.655252	0.787673	0.572202	0.101325
3	0.318607	0.212341	0.886886	0.140888	0.156922	0.518755	0.203880	0.233374	0.611417
4	0.169347	0.871152	0.130755	0.717898	0.664626	0.123841	0.889616	0.213999	0.002460

	image	ALB	BET	DOL	LAG	NoF	OTHER	SHARK	YFT
0	img_00005.jpg	0.455003	0.052938	0.030969	0.017734	0.123081	0.079142	0.046585	0.194283
1	img_00007.jpg	0.455003	0.052938	0.030969	0.017734	0.123081	0.079142	0.046585	0.194283
2	img_00009.jpg	0.455003	0.052938	0.030969	0.017734	0.123081	0.079142	0.046585	0.194283
3	img_00018.jpg	0.455003	0.052938	0.030969	0.017734	0.123081	0.079142	0.046585	0.194283
4	img_00027.jpg	0.455003	0.052938	0.030969	0.017734	0.123081	0.079142	0.046585	0.194283