10591636
32117
VAIBHAV JAISWAL
146065
Supervised Classification
precision
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.
334
monks-problems-2
https://www.openml.org/data/download/52237/php4fATLZ
-1
22110878
description
https://api.openml.org/data/download/22110878/description.xml
-1
22110879
predictions
https://api.openml.org/data/download/22110879/predictions.arff
area_under_roc_curve
0.9337962394002703 [0.933796,0.933796]
average_cost
0
f_measure
0.8746775573248391 [0.905897,0.814815]
kappa
0.7207543195574196
kb_relative_information_score
0.4894716726600415
mean_absolute_error
0.23860232945091578
mean_prior_absolute_error
0.4507164675789115
weighted_recall
0.8752079866888519 [0.913924,0.800971]
number_of_instances
601 [395,206]
precision
0.8744059075686542 [0.89801,0.829146]
predictive_accuracy
0.8752079866888519
prior_entropy
0.9274381882789376
relative_absolute_error
0.5293845390930635
root_mean_prior_squared_error
0.47463301952307513
root_mean_squared_error
0.3229440280573444
root_relative_squared_error
0.6804078409501468
total_cost
0
unweighted_recall
0.8574474622096595 [0.913924,0.800971]
area_under_roc_curve
0.9529761904761905 [0.952976,0.952976]
area_under_roc_curve
0.9556249999999998 [0.955625,0.955625]
area_under_roc_curve
0.9037500000000002 [0.90375,0.90375]
area_under_roc_curve
0.9224999999999999 [0.9225,0.9225]
area_under_roc_curve
0.91875 [0.91875,0.91875]
area_under_roc_curve
0.9291819291819292 [0.929182,0.929182]
area_under_roc_curve
0.9688644688644689 [0.968864,0.968864]
area_under_roc_curve
0.9523809523809523 [0.952381,0.952381]
area_under_roc_curve
0.9499389499389499 [0.949939,0.949939]
area_under_roc_curve
0.8797313797313798 [0.879731,0.879731]
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
0.8858539598585057 [0.911392,0.837209]
f_measure
0.9131652661064427 [0.941176,0.857143]
f_measure
0.8681318681318682 [0.897436,0.809524]
f_measure
0.8647839109970048 [0.902439,0.789474]
f_measure
0.8207407407407408 [0.853333,0.755556]
f_measure
0.8826489657301636 [0.911392,0.829268]
f_measure
0.9325 [0.95,0.9]
f_measure
0.9150047483380815 [0.938272,0.871795]
f_measure
0.8810066476733144 [0.91358,0.820513]
f_measure
0.7844457867713682 [0.831169,0.697674]
kappa
0.7486756915832843
kappa
0.7999999999999999
kappa
0.7073170731707318
kappa
0.6923076923076924
kappa
0.6117647058823529
kappa
0.7407407407407407
kappa
0.850187265917603
kappa
0.8106060606060606
kappa
0.7348484848484848
kappa
0.5289855072463767
kb_relative_information_score
0.5420083234538905
kb_relative_information_score
0.5203987229753423
kb_relative_information_score
0.42017846293757577
kb_relative_information_score
0.4594161991660688
kb_relative_information_score
0.474293538355771
kb_relative_information_score
0.47967840025987196
kb_relative_information_score
0.5618057066121216
kb_relative_information_score
0.5341495707195714
kb_relative_information_score
0.5329692824581813
kb_relative_information_score
0.36785411457366657
mean_absolute_error
0.21639344262295085
mean_absolute_error
0.2266666666666667
mean_absolute_error
0.26333333333333336
mean_absolute_error
0.24666666666666665
mean_absolute_error
0.2366666666666666
mean_absolute_error
0.24666666666666662
mean_absolute_error
0.21666666666666667
mean_absolute_error
0.22333333333333336
mean_absolute_error
0.2233333333333333
mean_absolute_error
0.2866666666666667
mean_prior_absolute_error
0.4511866895033036
mean_prior_absolute_error
0.4477611940298512
mean_prior_absolute_error
0.4477611940298512
mean_prior_absolute_error
0.4477611940298512
mean_prior_absolute_error
0.4477611940298512
mean_prior_absolute_error
0.4529850746268661
mean_prior_absolute_error
0.4529850746268661
mean_prior_absolute_error
0.4529850746268661
mean_prior_absolute_error
0.4529850746268661
mean_prior_absolute_error
0.4529850746268661
number_of_instances
61 [40,21]
number_of_instances
60 [40,20]
number_of_instances
60 [40,20]
number_of_instances
60 [40,20]
number_of_instances
60 [40,20]
number_of_instances
60 [39,21]
number_of_instances
60 [39,21]
number_of_instances
60 [39,21]
number_of_instances
60 [39,21]
number_of_instances
60 [39,21]
precision
0.8869654935228706 [0.923077,0.818182]
precision
0.9259259259259259 [0.888889,1]
precision
0.8716108452950557 [0.921053,0.772727]
precision
0.8650793650793652 [0.880952,0.833333]
precision
0.8361904761904762 [0.914286,0.68]
precision
0.8825000000000001 [0.9,0.85]
precision
0.9340179717586651 [0.926829,0.947368]
precision
0.9186507936507937 [0.904762,0.944444]
precision
0.8837301587301586 [0.880952,0.888889]
precision
0.786004784688995 [0.842105,0.681818]
predictive_accuracy
0.8852459016393442
predictive_accuracy
0.9166666666666667
predictive_accuracy
0.8666666666666667
predictive_accuracy
0.8666666666666667
predictive_accuracy
0.8166666666666668
predictive_accuracy
0.8833333333333333
predictive_accuracy
0.9333333333333332
predictive_accuracy
0.9166666666666667
predictive_accuracy
0.8833333333333333
predictive_accuracy
0.7833333333333333
prior_entropy
0.9288422097579495
prior_entropy
0.9186141260139027
prior_entropy
0.9186141260139027
prior_entropy
0.9186141260139027
prior_entropy
0.9186141260139027
prior_entropy
0.9342119537235741
prior_entropy
0.9342119537235741
prior_entropy
0.9342119537235741
prior_entropy
0.9342119537235741
prior_entropy
0.9342119537235741
relative_absolute_error
0.4796095444685463
relative_absolute_error
0.5062222222222218
relative_absolute_error
0.5881111111111106
relative_absolute_error
0.5508888888888882
relative_absolute_error
0.5285555555555549
relative_absolute_error
0.5445359692476655
relative_absolute_error
0.4783086216364631
relative_absolute_error
0.4930258099945081
relative_absolute_error
0.49302580999450796
relative_absolute_error
0.6328390993959357
root_mean_prior_squared_error
0.4751281144554437
root_mean_prior_squared_error
0.47150952235615856
root_mean_prior_squared_error
0.47150952235615856
root_mean_prior_squared_error
0.47150952235615856
root_mean_prior_squared_error
0.47150952235615856
root_mean_prior_squared_error
0.4770168867760844
root_mean_prior_squared_error
0.4770168867760844
root_mean_prior_squared_error
0.4770168867760844
root_mean_prior_squared_error
0.4770168867760844
root_mean_prior_squared_error
0.4770168867760844
root_mean_squared_error
0.3008185554095501
root_mean_squared_error
0.3055050463303894
root_mean_squared_error
0.3511884584284247
root_mean_squared_error
0.33065591380365994
root_mean_squared_error
0.33166247903554
root_mean_squared_error
0.3265986323710905
root_mean_squared_error
0.288675134594813
root_mean_squared_error
0.3130495168499707
root_mean_squared_error
0.3065941943351179
root_mean_squared_error
0.3669695718539437
root_relative_squared_error
0.6331314570898964
root_relative_squared_error
0.6479297487010743
root_relative_squared_error
0.7448173192208656
root_relative_squared_error
0.7012709142147426
root_relative_squared_error
0.7034056860150028
root_relative_squared_error
0.6846689109444433
root_relative_squared_error
0.6051675372455303
root_relative_squared_error
0.6562650621568429
root_relative_squared_error
0.642732370351148
root_relative_squared_error
0.7693010080504805
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
0.8785714285714286 [0.9,0.857143]
unweighted_recall
0.875 [1,0.75]
unweighted_recall
0.8625 [0.875,0.85]
unweighted_recall
0.8375 [0.925,0.75]
unweighted_recall
0.825 [0.8,0.85]
unweighted_recall
0.8663003663003663 [0.923077,0.809524]
unweighted_recall
0.9157509157509157 [0.974359,0.857143]
unweighted_recall
0.8919413919413919 [0.974359,0.809524]
unweighted_recall
0.8553113553113553 [0.948718,0.761905]
unweighted_recall
0.7673992673992673 [0.820513,0.714286]
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
31.25
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
15.625
usercpu_time_millis_testing
15.625
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
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
usercpu_time_millis_training
15.625
usercpu_time_millis_training
31.25
usercpu_time_millis_training
0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0
wall_clock_time_millis
16.99233055114746
wall_clock_time_millis
18.991470336914062
wall_clock_time_millis
19.988298416137695
wall_clock_time_millis
17.987966537475586
wall_clock_time_millis
15.989065170288086
wall_clock_time_millis
29.983043670654297
wall_clock_time_millis
32.98044204711914
wall_clock_time_millis
16.988039016723633
wall_clock_time_millis
16.988039016723633
wall_clock_time_millis
17.992019653320312
wall_clock_time_millis_testing
6.975650787353516
wall_clock_time_millis_testing
5.9986114501953125
wall_clock_time_millis_testing
5.995273590087891
wall_clock_time_millis_testing
7.014274597167969
wall_clock_time_millis_testing
5.995035171508789
wall_clock_time_millis_testing
9.993314743041992
wall_clock_time_millis_testing
11.991262435913086
wall_clock_time_millis_testing
5.9947967529296875
wall_clock_time_millis_testing
5.9986114501953125
wall_clock_time_millis_testing
5.994558334350586
wall_clock_time_millis_training
10.016679763793945
wall_clock_time_millis_training
12.99285888671875
wall_clock_time_millis_training
13.993024826049805
wall_clock_time_millis_training
10.973691940307617
wall_clock_time_millis_training
9.994029998779297
wall_clock_time_millis_training
19.989728927612305
wall_clock_time_millis_training
20.989179611206055
wall_clock_time_millis_training
10.993242263793945
wall_clock_time_millis_training
10.98942756652832
wall_clock_time_millis_training
11.997461318969727
weighted_recall
0.8852459016393442 [0.9,0.857143]
weighted_recall
0.9166666666666666 [1,0.75]
weighted_recall
0.8666666666666667 [0.875,0.85]
weighted_recall
0.8666666666666667 [0.925,0.75]
weighted_recall
0.8166666666666667 [0.8,0.85]
weighted_recall
0.8833333333333333 [0.923077,0.809524]
weighted_recall
0.9333333333333333 [0.974359,0.857143]
weighted_recall
0.9166666666666666 [0.974359,0.809524]
weighted_recall
0.8833333333333333 [0.948718,0.761905]
weighted_recall
0.7833333333333333 [0.820513,0.714286]