10591504
32117
VAIBHAV JAISWAL
10101
Supervised Classification
19161
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.neighbors._classification.KNeighborsClassifier)(1)
8304079
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
algorithm
"auto"
19154
leaf_size
30
19154
metric
"minkowski"
19154
metric_params
null
19154
n_jobs
null
19154
n_neighbors
5
19154
p
2
19154
weights
"uniform"
19154
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
19161
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"}}]
19161
verbose
false
19161
openml-python
Sklearn_1.0.2.
1464
blood-transfusion-service-center
https://www.openml.org/data/download/1586225/php0iVrYT
-1
22110614
description
https://api.openml.org/data/download/22110614/description.xml
-1
22110615
predictions
https://api.openml.org/data/download/22110615/predictions.arff
area_under_roc_curve
0.6985166568105657 [0.698517,0.698517]
average_cost
0
f_measure
0.7527989265579641 [0.857855,0.416382]
kappa
0.28231887961217333
kb_relative_information_score
0.08230070987186484
mean_absolute_error
0.30053475935828866
mean_prior_absolute_error
0.3630445632798566
weighted_recall
0.7713903743315508 [0.905263,0.342697]
number_of_instances
748 [570,178]
precision
0.747409012122167 [0.815166,0.530435]
predictive_accuracy
0.7713903743315508
prior_entropy
0.7916465694609683
relative_absolute_error
0.8278178211599284
root_mean_prior_squared_error
0.4258399633559147
root_mean_squared_error
0.41842587623585514
root_relative_squared_error
0.982589498971324
total_cost
0
unweighted_recall
0.62397989355411 [0.905263,0.342697]
area_under_roc_curve
0.7110136452241715 [0.711014,0.711014]
area_under_roc_curve
0.6871345029239766 [0.687135,0.687135]
area_under_roc_curve
0.7348927875243665 [0.734893,0.734893]
area_under_roc_curve
0.6968810916179338 [0.696881,0.696881]
area_under_roc_curve
0.7573099415204677 [0.75731,0.75731]
area_under_roc_curve
0.6530214424951267 [0.653021,0.653021]
area_under_roc_curve
0.6876218323586744 [0.687622,0.687622]
area_under_roc_curve
0.7115009746588694 [0.711501,0.711501]
area_under_roc_curve
0.7012383900928792 [0.701238,0.701238]
area_under_roc_curve
0.6584107327141383 [0.658411,0.658411]
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
0.752533485323454 [0.859504,0.413793]
f_measure
0.6835772357723577 [0.829268,0.222222]
f_measure
0.7137127371273713 [0.845528,0.296296]
f_measure
0.7822312373225152 [0.862069,0.529412]
f_measure
0.7739837398373983 [0.878049,0.444444]
f_measure
0.7108624708624709 [0.820513,0.363636]
f_measure
0.765936285936286 [0.854701,0.484848]
f_measure
0.7739837398373983 [0.878049,0.444444]
f_measure
0.8245173745173746 [0.9,0.571429]
f_measure
0.7367760617760618 [0.85,0.357143]
kappa
0.28330522765598654
kappa
0.07407407407407399
kappa
0.16225749559082905
kappa
0.39209726443768983
kappa
0.33862433862433877
kappa
0.18604651162790684
kappa
0.34108527131782934
kappa
0.33862433862433877
kappa
0.47703180212014124
kappa
0.21554770318021205
kb_relative_information_score
0.14144219371035557
kb_relative_information_score
0.031006281120322415
kb_relative_information_score
0.1020461532039536
kb_relative_information_score
0.068868135329176
kb_relative_information_score
0.1882196858146528
kb_relative_information_score
-0.028220827039955827
kb_relative_information_score
0.12524551793701508
kb_relative_information_score
0.016004634452328043
kb_relative_information_score
0.11587290347435542
kb_relative_information_score
0.06301773425214591
mean_absolute_error
0.2853333333333331
mean_absolute_error
0.3173333333333331
mean_absolute_error
0.3039999999999998
mean_absolute_error
0.3013333333333332
mean_absolute_error
0.27733333333333304
mean_absolute_error
0.32533333333333325
mean_absolute_error
0.29333333333333317
mean_absolute_error
0.3173333333333331
mean_absolute_error
0.28108108108108093
mean_absolute_error
0.3027027027027025
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
0.7484090909090908 [0.8125,0.545455]
precision
0.6672727272727272 [0.772727,0.333333]
precision
0.7054545454545454 [0.787879,0.444444]
precision
0.7790677966101694 [0.847458,0.5625]
precision
0.7818181818181819 [0.818182,0.666667]
precision
0.7040000000000001 [0.8,0.4]
precision
0.7613333333333333 [0.833333,0.533333]
precision
0.7818181818181819 [0.818182,0.666667]
precision
0.8273078273078273 [0.857143,0.727273]
precision
0.727974727974728 [0.809524,0.454545]
predictive_accuracy
0.7733333333333333
predictive_accuracy
0.72
predictive_accuracy
0.7466666666666667
predictive_accuracy
0.7866666666666667
predictive_accuracy
0.8
predictive_accuracy
0.72
predictive_accuracy
0.7733333333333333
predictive_accuracy
0.8
predictive_accuracy
0.8378378378378379
predictive_accuracy
0.7567567567567568
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
0.7836531419364279
relative_absolute_error
0.8715394756115412
relative_absolute_error
0.8349201699135775
relative_absolute_error
0.8275963087739848
relative_absolute_error
0.7616815585176494
relative_absolute_error
0.89351105903032
relative_absolute_error
0.8056247253552065
relative_absolute_error
0.8715394756115412
relative_absolute_error
0.7835258663987937
relative_absolute_error
0.8437970868910084
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
0.4059556626036886
root_mean_squared_error
0.42015870017569923
root_mean_squared_error
0.4283300907789067
root_mean_squared_error
0.42895221179054427
root_mean_squared_error
0.3891871871820378
root_mean_squared_error
0.4393935214209087
root_mean_squared_error
0.4182503237695497
root_mean_squared_error
0.40857475856118824
root_mean_squared_error
0.40935017719254435
root_mean_squared_error
0.43371431623605416
root_relative_squared_error
0.9505261521322137
root_relative_squared_error
0.9837818987458337
root_relative_squared_error
1.0029148267553112
root_relative_squared_error
1.004371493938027
root_relative_squared_error
0.9112635530655133
root_relative_squared_error
1.028819330932138
root_relative_squared_error
0.9793135248585895
root_relative_squared_error
0.9566586425292685
root_relative_squared_error
0.972896913971703
root_relative_squared_error
1.0308028268250369
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
0.6228070175438596 [0.912281,0.333333]
unweighted_recall
0.5307017543859649 [0.894737,0.166667]
unweighted_recall
0.567251461988304 [0.912281,0.222222]
unweighted_recall
0.6885964912280702 [0.877193,0.5]
unweighted_recall
0.6403508771929824 [0.947368,0.333333]
unweighted_recall
0.587719298245614 [0.842105,0.333333]
unweighted_recall
0.6608187134502923 [0.877193,0.444444]
unweighted_recall
0.6403508771929824 [0.947368,0.333333]
unweighted_recall
0.7089783281733746 [0.947368,0.470588]
unweighted_recall
0.5944272445820433 [0.894737,0.294118]
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
15.625
usercpu_time_millis
15.625
usercpu_time_millis
31.25
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
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_testing
15.625
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0
wall_clock_time_millis
13.010740280151367
wall_clock_time_millis
11.991739273071289
wall_clock_time_millis
12.990951538085938
wall_clock_time_millis
11.990785598754883
wall_clock_time_millis
11.991262435913086
wall_clock_time_millis
10.99085807800293
wall_clock_time_millis
20.997285842895508
wall_clock_time_millis
24.98149871826172
wall_clock_time_millis
12.988567352294922
wall_clock_time_millis
17.989397048950195
wall_clock_time_millis_testing
6.014347076416016
wall_clock_time_millis_testing
6.014108657836914
wall_clock_time_millis_testing
5.9947967529296875
wall_clock_time_millis_testing
4.995584487915039
wall_clock_time_millis_testing
4.996061325073242
wall_clock_time_millis_testing
4.9953460693359375
wall_clock_time_millis_testing
7.99250602722168
wall_clock_time_millis_testing
12.991666793823242
wall_clock_time_millis_testing
5.995750427246094
wall_clock_time_millis_testing
8.992433547973633
wall_clock_time_millis_training
6.996393203735352
wall_clock_time_millis_training
5.977630615234375
wall_clock_time_millis_training
6.99615478515625
wall_clock_time_millis_training
6.995201110839844
wall_clock_time_millis_training
6.995201110839844
wall_clock_time_millis_training
5.995512008666992
wall_clock_time_millis_training
13.004779815673828
wall_clock_time_millis_training
11.989831924438477
wall_clock_time_millis_training
6.992816925048828
wall_clock_time_millis_training
8.996963500976562
weighted_recall
0.7733333333333333 [0.912281,0.333333]
weighted_recall
0.72 [0.894737,0.166667]
weighted_recall
0.7466666666666667 [0.912281,0.222222]
weighted_recall
0.7866666666666666 [0.877193,0.5]
weighted_recall
0.8 [0.947368,0.333333]
weighted_recall
0.72 [0.842105,0.333333]
weighted_recall
0.7733333333333333 [0.877193,0.444444]
weighted_recall
0.8 [0.947368,0.333333]
weighted_recall
0.8378378378378378 [0.947368,0.470588]
weighted_recall
0.7567567567567568 [0.894737,0.294118]