notebook.community

Edit and run

First read the 'sklearn-benchmark-data.tsv.gz' file





In [31]:



    


import pandas as pd

benchmark_data = pd.read_csv('sklearn-benchmark-data.tsv.gz', sep='\t')
benchmark_data.head()
benchmark_data.rename(columns={'heart-c':'Dataset_Name',
                               'GradientBoostingClassifier':'Method_Name',
                               'loss=exponential,learning_rate=10.0,n_estimators=100,max_depth=3,max_features=sqrt,warm_start=True':
                               'Parameters',
                               '0.723684210526':'Test_Score'},inplace=True)

Get all the method names





In [167]:



    


methodNames_list = benchmark_data['Method_Name'].unique().tolist()
#methodNames_list

Store the data method wise separately





In [3]:



    


methodWiseData = {}
for name in methodNames_list:
    methodWiseData[name] = benchmark_data[(benchmark_data.Method_Name == name)]

Save the data method wise to a folder in tsv.gz format





In [160]:



    


#for i in names_list:
#    print(d[i])
import os
if not os.path.isdir('newBenchmark_results'):
    os.mkdir('newBenchmark_results')

gb = methodWiseData['GradientBoostingClassifier']
gb.to_pickle('newBenchmark_results/GradientBoostingClassifier_results.tsv.gz')



    











In [161]:



    


method_data = pd.read_pickle('newBenchmark_results/GradientBoostingClassifier-benchmark_results.tsv.gz')
method_data



    


















    
Out[161]:










  
    

      
      Dataset_Name
      Method_Name
      Parameters
      Test_Score
    

  
  
    

      0
      heart-c
      GradientBoostingClassifier
      loss=exponential,learning_rate=10.0,n_estimato...
      0.736842
    

    

      1
      heart-c
      GradientBoostingClassifier
      loss=exponential,learning_rate=10.0,n_estimato...
      0.815789
    

    

      2
      heart-c
      GradientBoostingClassifier
      loss=exponential,learning_rate=10.0,n_estimato...
      0.802632
    

    

      3
      heart-c
      GradientBoostingClassifier
      loss=exponential,learning_rate=10.0,n_estimato...
      0.750000
    

    

      4
      heart-c
      GradientBoostingClassifier
      loss=exponential,learning_rate=10.0,n_estimato...
      0.815789
    

    

      5
      heart-c
      GradientBoostingClassifier
      loss=exponential,learning_rate=10.0,n_estimato...
      0.684211
    

    

      6
      heart-c
      GradientBoostingClassifier
      loss=exponential,learning_rate=10.0,n_estimato...
      0.763158
    

    

      7
      heart-c
      GradientBoostingClassifier
      loss=exponential,learning_rate=10.0,n_estimato...
      0.750000
    

    

      8
      heart-c
      GradientBoostingClassifier
      loss=exponential,learning_rate=10.0,n_estimato...
      0.710526
    

    

      9
      heart-c
      GradientBoostingClassifier
      loss=exponential,learning_rate=10.0,n_estimato...
      0.776316
    

    

      10
      heart-c
      GradientBoostingClassifier
      loss=exponential,learning_rate=10.0,n_estimato...
      0.723684
    

    

      11
      heart-c
      GradientBoostingClassifier
      loss=exponential,learning_rate=10.0,n_estimato...
      0.736842
    

    

      12
      heart-c
      GradientBoostingClassifier
      loss=exponential,learning_rate=10.0,n_estimato...
      0.789474
    

    

      13
      heart-c
      GradientBoostingClassifier
      loss=exponential,learning_rate=10.0,n_estimato...
      0.789474
    

    

      14
      heart-c
      GradientBoostingClassifier
      loss=exponential,learning_rate=10.0,n_estimato...
      0.736842
    

    

      15
      heart-c
      GradientBoostingClassifier
      loss=exponential,learning_rate=10.0,n_estimato...
      0.736842
    

    

      16
      heart-c
      GradientBoostingClassifier
      loss=exponential,learning_rate=10.0,n_estimato...
      0.776316
    

    

      17
      heart-c
      GradientBoostingClassifier
      loss=exponential,learning_rate=10.0,n_estimato...
      0.763158
    

    

      18
      heart-c
      GradientBoostingClassifier
      loss=exponential,learning_rate=10.0,n_estimato...
      0.802632
    

    

      19
      heart-c
      GradientBoostingClassifier
      loss=exponential,learning_rate=10.0,n_estimato...
      0.815789
    

    

      20
      heart-c
      GradientBoostingClassifier
      loss=exponential,learning_rate=10.0,n_estimato...
      0.828947
    

    

      21
      heart-c
      GradientBoostingClassifier
      loss=exponential,learning_rate=10.0,n_estimato...
      0.736842
    

    

      22
      heart-c
      GradientBoostingClassifier
      loss=exponential,learning_rate=10.0,n_estimato...
      0.736842
    

    

      23
      heart-c
      GradientBoostingClassifier
      loss=exponential,learning_rate=10.0,n_estimato...
      0.750000
    

    

      24
      heart-c
      GradientBoostingClassifier
      loss=exponential,learning_rate=10.0,n_estimato...
      0.789474
    

    

      25
      heart-c
      GradientBoostingClassifier
      loss=exponential,learning_rate=10.0,n_estimato...
      0.815789
    

    

      26
      heart-c
      GradientBoostingClassifier
      loss=exponential,learning_rate=10.0,n_estimato...
      0.697368
    

    

      27
      heart-c
      GradientBoostingClassifier
      loss=exponential,learning_rate=10.0,n_estimato...
      0.842105
    

    

      28
      heart-c
      GradientBoostingClassifier
      loss=exponential,learning_rate=10.0,n_estimato...
      0.776316
    

    

      29
      shuttle-landing-control
      GradientBoostingClassifier
      loss=deviance,learning_rate=50.0,n_estimators=...
      0.750000
    

    

      ...
      ...
      ...
      ...
      ...
    

    

      2162999
      shuttle-landing-control
      GradientBoostingClassifier
      loss=deviance,learning_rate=0.5,n_estimators=1...
      0.500000
    

    

      2163000
      shuttle-landing-control
      GradientBoostingClassifier
      loss=deviance,learning_rate=0.5,n_estimators=1...
      0.750000
    

    

      2163001
      shuttle-landing-control
      GradientBoostingClassifier
      loss=deviance,learning_rate=0.5,n_estimators=1...
      0.750000
    

    

      2163002
      shuttle-landing-control
      GradientBoostingClassifier
      loss=deviance,learning_rate=0.5,n_estimators=1...
      0.500000
    

    

      2163003
      shuttle-landing-control
      GradientBoostingClassifier
      loss=deviance,learning_rate=0.5,n_estimators=1...
      0.750000
    

    

      2163004
      shuttle-landing-control
      GradientBoostingClassifier
      loss=deviance,learning_rate=0.5,n_estimators=1...
      0.750000
    

    

      2163005
      shuttle-landing-control
      GradientBoostingClassifier
      loss=deviance,learning_rate=0.5,n_estimators=1...
      0.750000
    

    

      2163006
      shuttle-landing-control
      GradientBoostingClassifier
      loss=deviance,learning_rate=0.5,n_estimators=1...
      0.250000
    

    

      2163007
      shuttle-landing-control
      GradientBoostingClassifier
      loss=deviance,learning_rate=0.5,n_estimators=1...
      0.750000
    

    

      2163008
      shuttle-landing-control
      GradientBoostingClassifier
      loss=deviance,learning_rate=0.5,n_estimators=1...
      0.750000
    

    

      2163009
      shuttle-landing-control
      GradientBoostingClassifier
      loss=deviance,learning_rate=0.5,n_estimators=1...
      1.000000
    

    

      2163010
      shuttle-landing-control
      GradientBoostingClassifier
      loss=deviance,learning_rate=0.5,n_estimators=1...
      0.500000
    

    

      2163011
      shuttle-landing-control
      GradientBoostingClassifier
      loss=deviance,learning_rate=0.5,n_estimators=1...
      1.000000
    

    

      2163012
      shuttle-landing-control
      GradientBoostingClassifier
      loss=deviance,learning_rate=0.5,n_estimators=1...
      0.750000
    

    

      2163013
      shuttle-landing-control
      GradientBoostingClassifier
      loss=deviance,learning_rate=0.5,n_estimators=1...
      0.750000
    

    

      2163014
      shuttle-landing-control
      GradientBoostingClassifier
      loss=deviance,learning_rate=0.5,n_estimators=1...
      0.750000
    

    

      2163015
      shuttle-landing-control
      GradientBoostingClassifier
      loss=deviance,learning_rate=0.5,n_estimators=1...
      0.750000
    

    

      2163016
      shuttle-landing-control
      GradientBoostingClassifier
      loss=deviance,learning_rate=0.5,n_estimators=1...
      0.750000
    

    

      2163017
      shuttle-landing-control
      GradientBoostingClassifier
      loss=deviance,learning_rate=0.5,n_estimators=1...
      0.500000
    

    

      2163018
      shuttle-landing-control
      GradientBoostingClassifier
      loss=deviance,learning_rate=0.5,n_estimators=1...
      0.500000
    

    

      2163019
      shuttle-landing-control
      GradientBoostingClassifier
      loss=deviance,learning_rate=0.5,n_estimators=1...
      0.500000
    

    

      2163020
      shuttle-landing-control
      GradientBoostingClassifier
      loss=deviance,learning_rate=0.5,n_estimators=1...
      0.500000
    

    

      2163021
      shuttle-landing-control
      GradientBoostingClassifier
      loss=deviance,learning_rate=0.5,n_estimators=1...
      0.750000
    

    

      2163022
      shuttle-landing-control
      GradientBoostingClassifier
      loss=deviance,learning_rate=0.5,n_estimators=1...
      0.750000
    

    

      2163023
      shuttle-landing-control
      GradientBoostingClassifier
      loss=deviance,learning_rate=0.5,n_estimators=1...
      1.000000
    

    

      2163024
      shuttle-landing-control
      GradientBoostingClassifier
      loss=deviance,learning_rate=0.5,n_estimators=1...
      0.500000
    

    

      2163025
      shuttle-landing-control
      GradientBoostingClassifier
      loss=deviance,learning_rate=0.5,n_estimators=1...
      0.500000
    

    

      2163026
      shuttle-landing-control
      GradientBoostingClassifier
      loss=deviance,learning_rate=0.5,n_estimators=1...
      0.500000
    

    

      2163027
      shuttle-landing-control
      GradientBoostingClassifier
      loss=deviance,learning_rate=0.5,n_estimators=1...
      0.250000
    

    

      2163028
      shuttle-landing-control
      GradientBoostingClassifier
      loss=deviance,learning_rate=0.5,n_estimators=1...
      0.500000
    

  



1527509 rows × 4 columns

Split the parameters into dfifferent columns;

make sure to set the no of coumns according to different methods





In [162]:



    


method_param = pd.DataFrame(method_data.Parameters.str.split(',').tolist(),
                                   columns = ['Param1','Param2','Param3'])
method_param



    


















    
Out[162]:










  
    

      
      Param1
      Param2
      Param3
      Param4
      Param5
      Param6
    

  
  
    

      0
      loss=exponential
      learning_rate=10.0
      n_estimators=100
      max_depth=3
      max_features=sqrt
      warm_start=True
    

    

      1
      loss=exponential
      learning_rate=10.0
      n_estimators=100
      max_depth=3
      max_features=sqrt
      warm_start=True
    

    

      2
      loss=exponential
      learning_rate=10.0
      n_estimators=100
      max_depth=3
      max_features=sqrt
      warm_start=True
    

    

      3
      loss=exponential
      learning_rate=10.0
      n_estimators=100
      max_depth=3
      max_features=sqrt
      warm_start=True
    

    

      4
      loss=exponential
      learning_rate=10.0
      n_estimators=100
      max_depth=3
      max_features=sqrt
      warm_start=True
    

    

      5
      loss=exponential
      learning_rate=10.0
      n_estimators=100
      max_depth=3
      max_features=sqrt
      warm_start=True
    

    

      6
      loss=exponential
      learning_rate=10.0
      n_estimators=100
      max_depth=3
      max_features=sqrt
      warm_start=True
    

    

      7
      loss=exponential
      learning_rate=10.0
      n_estimators=100
      max_depth=3
      max_features=sqrt
      warm_start=True
    

    

      8
      loss=exponential
      learning_rate=10.0
      n_estimators=100
      max_depth=3
      max_features=sqrt
      warm_start=True
    

    

      9
      loss=exponential
      learning_rate=10.0
      n_estimators=100
      max_depth=3
      max_features=sqrt
      warm_start=True
    

    

      10
      loss=exponential
      learning_rate=10.0
      n_estimators=100
      max_depth=3
      max_features=sqrt
      warm_start=True
    

    

      11
      loss=exponential
      learning_rate=10.0
      n_estimators=100
      max_depth=3
      max_features=sqrt
      warm_start=True
    

    

      12
      loss=exponential
      learning_rate=10.0
      n_estimators=100
      max_depth=3
      max_features=sqrt
      warm_start=True
    

    

      13
      loss=exponential
      learning_rate=10.0
      n_estimators=100
      max_depth=3
      max_features=sqrt
      warm_start=True
    

    

      14
      loss=exponential
      learning_rate=10.0
      n_estimators=100
      max_depth=3
      max_features=sqrt
      warm_start=True
    

    

      15
      loss=exponential
      learning_rate=10.0
      n_estimators=100
      max_depth=3
      max_features=sqrt
      warm_start=True
    

    

      16
      loss=exponential
      learning_rate=10.0
      n_estimators=100
      max_depth=3
      max_features=sqrt
      warm_start=True
    

    

      17
      loss=exponential
      learning_rate=10.0
      n_estimators=100
      max_depth=3
      max_features=sqrt
      warm_start=True
    

    

      18
      loss=exponential
      learning_rate=10.0
      n_estimators=100
      max_depth=3
      max_features=sqrt
      warm_start=True
    

    

      19
      loss=exponential
      learning_rate=10.0
      n_estimators=100
      max_depth=3
      max_features=sqrt
      warm_start=True
    

    

      20
      loss=exponential
      learning_rate=10.0
      n_estimators=100
      max_depth=3
      max_features=sqrt
      warm_start=True
    

    

      21
      loss=exponential
      learning_rate=10.0
      n_estimators=100
      max_depth=3
      max_features=sqrt
      warm_start=True
    

    

      22
      loss=exponential
      learning_rate=10.0
      n_estimators=100
      max_depth=3
      max_features=sqrt
      warm_start=True
    

    

      23
      loss=exponential
      learning_rate=10.0
      n_estimators=100
      max_depth=3
      max_features=sqrt
      warm_start=True
    

    

      24
      loss=exponential
      learning_rate=10.0
      n_estimators=100
      max_depth=3
      max_features=sqrt
      warm_start=True
    

    

      25
      loss=exponential
      learning_rate=10.0
      n_estimators=100
      max_depth=3
      max_features=sqrt
      warm_start=True
    

    

      26
      loss=exponential
      learning_rate=10.0
      n_estimators=100
      max_depth=3
      max_features=sqrt
      warm_start=True
    

    

      27
      loss=exponential
      learning_rate=10.0
      n_estimators=100
      max_depth=3
      max_features=sqrt
      warm_start=True
    

    

      28
      loss=exponential
      learning_rate=10.0
      n_estimators=100
      max_depth=3
      max_features=sqrt
      warm_start=True
    

    

      29
      loss=deviance
      learning_rate=50.0
      n_estimators=10
      max_depth=2
      max_features=log2
      warm_start=True
    

    

      ...
      ...
      ...
      ...
      ...
      ...
      ...
    

    

      1527479
      loss=deviance
      learning_rate=0.5
      n_estimators=1000
      max_depth=2
      max_features=0.75
      warm_start=True
    

    

      1527480
      loss=deviance
      learning_rate=0.5
      n_estimators=1000
      max_depth=2
      max_features=0.75
      warm_start=True
    

    

      1527481
      loss=deviance
      learning_rate=0.5
      n_estimators=1000
      max_depth=2
      max_features=0.75
      warm_start=True
    

    

      1527482
      loss=deviance
      learning_rate=0.5
      n_estimators=1000
      max_depth=2
      max_features=0.75
      warm_start=True
    

    

      1527483
      loss=deviance
      learning_rate=0.5
      n_estimators=1000
      max_depth=2
      max_features=0.75
      warm_start=True
    

    

      1527484
      loss=deviance
      learning_rate=0.5
      n_estimators=1000
      max_depth=2
      max_features=0.75
      warm_start=True
    

    

      1527485
      loss=deviance
      learning_rate=0.5
      n_estimators=1000
      max_depth=2
      max_features=0.75
      warm_start=True
    

    

      1527486
      loss=deviance
      learning_rate=0.5
      n_estimators=1000
      max_depth=2
      max_features=0.75
      warm_start=True
    

    

      1527487
      loss=deviance
      learning_rate=0.5
      n_estimators=1000
      max_depth=2
      max_features=0.75
      warm_start=True
    

    

      1527488
      loss=deviance
      learning_rate=0.5
      n_estimators=1000
      max_depth=2
      max_features=0.75
      warm_start=True
    

    

      1527489
      loss=deviance
      learning_rate=0.5
      n_estimators=1000
      max_depth=2
      max_features=0.75
      warm_start=True
    

    

      1527490
      loss=deviance
      learning_rate=0.5
      n_estimators=1000
      max_depth=2
      max_features=0.75
      warm_start=True
    

    

      1527491
      loss=deviance
      learning_rate=0.5
      n_estimators=1000
      max_depth=2
      max_features=0.75
      warm_start=True
    

    

      1527492
      loss=deviance
      learning_rate=0.5
      n_estimators=1000
      max_depth=2
      max_features=0.75
      warm_start=True
    

    

      1527493
      loss=deviance
      learning_rate=0.5
      n_estimators=1000
      max_depth=2
      max_features=0.75
      warm_start=True
    

    

      1527494
      loss=deviance
      learning_rate=0.5
      n_estimators=1000
      max_depth=2
      max_features=0.75
      warm_start=True
    

    

      1527495
      loss=deviance
      learning_rate=0.5
      n_estimators=1000
      max_depth=2
      max_features=0.75
      warm_start=True
    

    

      1527496
      loss=deviance
      learning_rate=0.5
      n_estimators=1000
      max_depth=2
      max_features=0.75
      warm_start=True
    

    

      1527497
      loss=deviance
      learning_rate=0.5
      n_estimators=1000
      max_depth=2
      max_features=0.75
      warm_start=True
    

    

      1527498
      loss=deviance
      learning_rate=0.5
      n_estimators=1000
      max_depth=2
      max_features=0.75
      warm_start=True
    

    

      1527499
      loss=deviance
      learning_rate=0.5
      n_estimators=1000
      max_depth=2
      max_features=0.75
      warm_start=True
    

    

      1527500
      loss=deviance
      learning_rate=0.5
      n_estimators=1000
      max_depth=2
      max_features=0.75
      warm_start=True
    

    

      1527501
      loss=deviance
      learning_rate=0.5
      n_estimators=1000
      max_depth=2
      max_features=0.75
      warm_start=True
    

    

      1527502
      loss=deviance
      learning_rate=0.5
      n_estimators=1000
      max_depth=2
      max_features=0.75
      warm_start=True
    

    

      1527503
      loss=deviance
      learning_rate=0.5
      n_estimators=1000
      max_depth=2
      max_features=0.75
      warm_start=True
    

    

      1527504
      loss=deviance
      learning_rate=0.5
      n_estimators=1000
      max_depth=2
      max_features=0.75
      warm_start=True
    

    

      1527505
      loss=deviance
      learning_rate=0.5
      n_estimators=1000
      max_depth=2
      max_features=0.75
      warm_start=True
    

    

      1527506
      loss=deviance
      learning_rate=0.5
      n_estimators=1000
      max_depth=2
      max_features=0.75
      warm_start=True
    

    

      1527507
      loss=deviance
      learning_rate=0.5
      n_estimators=1000
      max_depth=2
      max_features=0.75
      warm_start=True
    

    

      1527508
      loss=deviance
      learning_rate=0.5
      n_estimators=1000
      max_depth=2
      max_features=0.75
      warm_start=True
    

  



1527509 rows × 6 columns



















In [163]:



    


method_data1 = method_data.drop('Parameters', 1)   #delete the Paameters column from the original dataframe
idx = method_param.index.get_values()              #get the index of the parameter dataframe  
#idx
method_data2 = method_data1.set_index(idx)         #set the index of method dataframe same as parameter dataframe
#kneighbor_data2
result = pd.concat([method_data2, method_param], axis = 1)    #finally add the parameter columns to get the result (desired format)
#result

Save this result in the HPCC_benchmark_results folder





In [164]:



    


import os
if not os.path.isdir('HPCC_benchmark_results'):
    os.mkdir('HPCC_benchmark_results')
result.to_pickle('HPCC_benchmark_results/GradientBoostingClassifier-hpcc_results.tsv.gz')



    











In [165]:



    


data = pd.read_pickle('HPCC_benchmark_results/GradientBoostingClassifier-hpcc_results.tsv.gz')
data



    


















    
Out[165]:










  
    

      
      Dataset_Name
      Method_Name
      Test_Score
      Param1
      Param2
      Param3
      Param4
      Param5
      Param6
    

  
  
    

      0
      heart-c
      GradientBoostingClassifier
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      1
      heart-c
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      2
      heart-c
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      3
      heart-c
      GradientBoostingClassifier
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      4
      heart-c
      GradientBoostingClassifier
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      5
      heart-c
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      6
      heart-c
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      7
      heart-c
      GradientBoostingClassifier
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      8
      heart-c
      GradientBoostingClassifier
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      9
      heart-c
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      10
      heart-c
      GradientBoostingClassifier
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      11
      heart-c
      GradientBoostingClassifier
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      12
      heart-c
      GradientBoostingClassifier
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      13
      heart-c
      GradientBoostingClassifier
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      14
      heart-c
      GradientBoostingClassifier
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      15
      heart-c
      GradientBoostingClassifier
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      16
      heart-c
      GradientBoostingClassifier
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      17
      heart-c
      GradientBoostingClassifier
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      18
      heart-c
      GradientBoostingClassifier
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      19
      heart-c
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      20
      heart-c
      GradientBoostingClassifier
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      21
      heart-c
      GradientBoostingClassifier
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      22
      heart-c
      GradientBoostingClassifier
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      23
      heart-c
      GradientBoostingClassifier
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      24
      heart-c
      GradientBoostingClassifier
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      25
      heart-c
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      26
      heart-c
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      27
      heart-c
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      28
      heart-c
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      29
      shuttle-landing-control
      GradientBoostingClassifier
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      1527479
      shuttle-landing-control
      GradientBoostingClassifier
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      1527480
      shuttle-landing-control
      GradientBoostingClassifier
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      1527481
      shuttle-landing-control
      GradientBoostingClassifier
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      1527482
      shuttle-landing-control
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      1527483
      shuttle-landing-control
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      1527484
      shuttle-landing-control
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      1527485
      shuttle-landing-control
      GradientBoostingClassifier
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      1527486
      shuttle-landing-control
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      1527487
      shuttle-landing-control
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      1527488
      shuttle-landing-control
      GradientBoostingClassifier
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      1527489
      shuttle-landing-control
      GradientBoostingClassifier
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      1527490
      shuttle-landing-control
      GradientBoostingClassifier
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      1527491
      shuttle-landing-control
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      shuttle-landing-control
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      1527493
      shuttle-landing-control
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      1527494
      shuttle-landing-control
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      1527495
      shuttle-landing-control
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      1527496
      shuttle-landing-control
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      1527497
      shuttle-landing-control
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      shuttle-landing-control
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      1527499
      shuttle-landing-control
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      1527500
      shuttle-landing-control
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      shuttle-landing-control
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      shuttle-landing-control
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      shuttle-landing-control
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      shuttle-landing-control
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      1527506
      shuttle-landing-control
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      1527507
      shuttle-landing-control
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      1527508
      shuttle-landing-control
      GradientBoostingClassifier
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