10589165
32117
VAIBHAV JAISWAL
10101
Supervised Classification
19163
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.naive_bayes.GaussianNB)(1)
8304081
Python_3.7.7. Sklearn_1.0.2. NumPy_1.21.6. SciPy_1.7.3.
copy
true
19075
with_mean
true
19075
with_std
true
19075
add_indicator
false
19084
copy
true
19084
fill_value
null
19084
missing_values
NaN
19084
strategy
"mean"
19084
verbose
0
19084
memory
null
19156
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "Imputer", "step_name": "Imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "scaler", "step_name": "scaler"}}]
19156
verbose
false
19156
memory
null
19163
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "numerical", "step_name": "numerical"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "model", "step_name": "model"}}]
19163
verbose
false
19163
priors
null
19164
var_smoothing
1e-09
19164
openml-python
Sklearn_1.0.2.
1464
blood-transfusion-service-center
https://www.openml.org/data/download/1586225/php0iVrYT
-1
22105897
description
https://api.openml.org/data/download/22105897/description.xml
-1
22105898
predictions
https://api.openml.org/data/download/22105898/predictions.arff
area_under_roc_curve
0.700753754541976 [0.700749,0.700769]
average_cost
0
f_measure
0.712796624331551 [0.85,0.273438]
kappa
0.15020767163449805
kb_relative_information_score
0.13987886198664987
mean_absolute_error
0.28962110875549824
mean_prior_absolute_error
0.3630445632798566
weighted_recall
0.7513368983957219 [0.924561,0.196629]
number_of_instances
748 [570,178]
precision
0.7061698909811289 [0.786567,0.448718]
predictive_accuracy
0.751336898395722
prior_entropy
0.7916465694609683
relative_absolute_error
0.7977563584452877
root_mean_prior_squared_error
0.4258399633559147
root_mean_squared_error
0.4301636096547899
root_relative_squared_error
1.0101532187463147
total_cost
0
unweighted_recall
0.560595308495959 [0.924561,0.196629]
area_under_roc_curve
0.7626705653021443 [0.762671,0.762671]
area_under_roc_curve
0.77046783625731 [0.770468,0.770468]
area_under_roc_curve
0.6354775828460039 [0.635478,0.635478]
area_under_roc_curve
0.6398635477582846 [0.639864,0.639864]
area_under_roc_curve
0.753411306042885 [0.753411,0.753411]
area_under_roc_curve
0.6944444444444444 [0.694444,0.694444]
area_under_roc_curve
0.7461013645224172 [0.746101,0.746101]
area_under_roc_curve
0.7002923976608189 [0.700292,0.700292]
area_under_roc_curve
0.7456140350877193 [0.745614,0.745614]
area_under_roc_curve
0.6960784313725489 [0.696078,0.696078]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.7020799999999999 [0.848,0.24]
f_measure
0.75424317617866 [0.870968,0.384615]
f_measure
0.7114285714285714 [0.857143,0.25]
f_measure
0.6233062330623307 [0.796748,0.074074]
f_measure
0.752533485323454 [0.859504,0.413793]
f_measure
0.7020799999999999 [0.848,0.24]
f_measure
0.7235235732009925 [0.854839,0.307692]
f_measure
0.7438482384823847 [0.861789,0.37037]
f_measure
0.7254430082256168 [0.864,0.26087]
f_measure
0.6843214181923859 [0.83871,0.166667]
kappa
0.12199630314232907
kappa
0.27797833935018035
kappa
0.14772727272727265
kappa
-0.10229276895943575
kappa
0.28330522765598654
kappa
0.12199630314232907
kappa
0.18772563176895307
kappa
0.2504409171075837
kappa
0.16021361815754348
kappa
0.03771131339401808
kb_relative_information_score
0.14081392766313358
kb_relative_information_score
0.22607275596330878
kb_relative_information_score
0.08224605325581796
kb_relative_information_score
-0.03562233402552297
kb_relative_information_score
0.2356862779997196
kb_relative_information_score
0.11300510595459366
kb_relative_information_score
0.1954534351936895
kb_relative_information_score
0.18021402472275966
kb_relative_information_score
0.21231804191085468
kb_relative_information_score
0.047924880974726934
mean_absolute_error
0.2844622537289411
mean_absolute_error
0.26781569112955655
mean_absolute_error
0.3125981456176528
mean_absolute_error
0.34132800347201725
mean_absolute_error
0.259785900697799
mean_absolute_error
0.29561818605302337
mean_absolute_error
0.27475549444161296
mean_absolute_error
0.2857520610930845
mean_absolute_error
0.26796191628341487
mean_absolute_error
0.30606388279207597
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.35873873873873896
mean_prior_absolute_error
0.35873873873873896
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
74 [57,17]
number_of_instances
74 [57,17]
precision
0.6952100840336135 [0.779412,0.428571]
precision
0.7625373134328358 [0.80597,0.625]
precision
0.7147826086956521 [0.782609,0.5]
precision
0.5909090909090909 [0.742424,0.111111]
precision
0.7484090909090908 [0.8125,0.545455]
precision
0.6952100840336135 [0.779412,0.428571]
precision
0.7211940298507462 [0.791045,0.5]
precision
0.7436363636363637 [0.80303,0.555556]
precision
0.7265500794912559 [0.794118,0.5]
precision
0.6634587679363799 [0.776119,0.285714]
predictive_accuracy
0.7466666666666667
predictive_accuracy
0.7866666666666667
predictive_accuracy
0.76
predictive_accuracy
0.6666666666666667
predictive_accuracy
0.7733333333333333
predictive_accuracy
0.7466666666666667
predictive_accuracy
0.76
predictive_accuracy
0.7733333333333333
predictive_accuracy
0.7702702702702703
predictive_accuracy
0.7297297297297297
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7778597106646706
prior_entropy
0.7778597106646706
relative_absolute_error
0.7812607671623908
relative_absolute_error
0.7355418498138542
relative_absolute_error
0.8585345291242108
relative_absolute_error
0.9374395876813124
relative_absolute_error
0.7134884485255206
relative_absolute_error
0.8118999543714933
relative_absolute_error
0.7546016582364494
relative_absolute_error
0.7848031559243198
relative_absolute_error
0.7469556179673288
relative_absolute_error
0.8531665241064894
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4207539065176338
root_mean_prior_squared_error
0.4207539065176338
root_mean_squared_error
0.4191675677670631
root_mean_squared_error
0.40701316517625935
root_mean_squared_error
0.45267371564002784
root_mean_squared_error
0.5101539111797897
root_mean_squared_error
0.4030451139877525
root_mean_squared_error
0.4315519396082545
root_mean_squared_error
0.4147280089471309
root_mean_squared_error
0.420522009244772
root_mean_squared_error
0.39102241069588334
root_mean_squared_error
0.43947237020903984
root_relative_squared_error
0.9814612086768935
root_relative_squared_error
0.9530022448284667
root_relative_squared_error
1.0599142830993433
root_relative_squared_error
1.1945014661916888
root_relative_squared_error
0.9437112389991991
root_relative_squared_error
1.0104586347437745
root_relative_squared_error
0.9710661898336794
root_relative_squared_error
0.9846325698985541
root_relative_squared_error
0.9293375644023772
root_relative_squared_error
1.0444879141974683
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
unweighted_recall
0.5482456140350878 [0.929825,0.166667]
unweighted_recall
0.6125730994152047 [0.947368,0.277778]
unweighted_recall
0.5570175438596491 [0.947368,0.166667]
unweighted_recall
0.45760233918128657 [0.859649,0.055556]
unweighted_recall
0.6228070175438596 [0.912281,0.333333]
unweighted_recall
0.5482456140350878 [0.929825,0.166667]
unweighted_recall
0.5760233918128654 [0.929825,0.222222]
unweighted_recall
0.6038011695906433 [0.929825,0.277778]
unweighted_recall
0.5619195046439628 [0.947368,0.176471]
unweighted_recall
0.5149638802889577 [0.912281,0.117647]
usercpu_time_millis
0
usercpu_time_millis
15.625
usercpu_time_millis
0
usercpu_time_millis
15.625
usercpu_time_millis
0
usercpu_time_millis
15.625
usercpu_time_millis
0
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_training
0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0
usercpu_time_millis_training
15.625
wall_clock_time_millis
7.992744445800781
wall_clock_time_millis
7.99560546875
wall_clock_time_millis
7.994651794433594
wall_clock_time_millis
7.995128631591797
wall_clock_time_millis
8.019208908081055
wall_clock_time_millis
7.99560546875
wall_clock_time_millis
9.9945068359375
wall_clock_time_millis
10.011911392211914
wall_clock_time_millis
7.995367050170898
wall_clock_time_millis
8.994579315185547
wall_clock_time_millis_testing
1.9984245300292969
wall_clock_time_millis_testing
1.9986629486083984
wall_clock_time_millis_testing
1.9955635070800781
wall_clock_time_millis_testing
1.9986629486083984
wall_clock_time_millis_testing
1.9984245300292969
wall_clock_time_millis_testing
1.9991397857666016
wall_clock_time_millis_testing
2.0151138305664062
wall_clock_time_millis_testing
3.015279769897461
wall_clock_time_millis_testing
1.9989013671875
wall_clock_time_millis_testing
2.9969215393066406
wall_clock_time_millis_training
5.994319915771484
wall_clock_time_millis_training
5.996942520141602
wall_clock_time_millis_training
5.999088287353516
wall_clock_time_millis_training
5.996465682983398
wall_clock_time_millis_training
6.020784378051758
wall_clock_time_millis_training
5.996465682983398
wall_clock_time_millis_training
7.979393005371094
wall_clock_time_millis_training
6.996631622314453
wall_clock_time_millis_training
5.996465682983398
wall_clock_time_millis_training
5.997657775878906
weighted_recall
0.7466666666666667 [0.929825,0.166667]
weighted_recall
0.7866666666666666 [0.947368,0.277778]
weighted_recall
0.76 [0.947368,0.166667]
weighted_recall
0.6666666666666666 [0.859649,0.055556]
weighted_recall
0.7733333333333333 [0.912281,0.333333]
weighted_recall
0.7466666666666667 [0.929825,0.166667]
weighted_recall
0.76 [0.929825,0.222222]
weighted_recall
0.7733333333333333 [0.929825,0.277778]
weighted_recall
0.7702702702702703 [0.947368,0.176471]
weighted_recall
0.7297297297297297 [0.912281,0.117647]