10590874
32117
VAIBHAV JAISWAL
3954
Supervised Classification
19174
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(1)
8304382
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
19174
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"}}]
19174
verbose
false
19174
categorical_features
null
19175
early_stopping
"auto"
19175
l2_regularization
0.0
19175
learning_rate
0.1
19175
loss
"auto"
19175
max_bins
255
19175
max_depth
null
19175
max_iter
100
19175
max_leaf_nodes
31
19175
min_samples_leaf
20
19175
monotonic_cst
null
19175
n_iter_no_change
10
19175
random_state
18499
19175
scoring
"loss"
19175
tol
1e-07
19175
validation_fraction
0.1
19175
verbose
0
19175
warm_start
false
19175
openml-python
Sklearn_1.0.2.
1120
MagicTelescope
https://www.openml.org/data/download/54003/MagicTelescope.arff
-1
22109344
description
https://api.openml.org/data/download/22109344/description.xml
-1
22109345
predictions
https://api.openml.org/data/download/22109345/predictions.arff
area_under_roc_curve
0.9364637401314819 [0.936464,0.936464]
average_cost
0
f_measure
0.8798461873078609 [0.912004,0.82055]
kappa
0.7331718365847052
kb_relative_information_score
0.6275108866844177
mean_absolute_error
0.17873812327426084
mean_prior_absolute_error
0.45597723417494307
weighted_recall
0.8819137749737119 [0.943805,0.767793]
number_of_instances
19020 [12332,6688]
precision
0.8818601559089367 [0.882277,0.881091]
predictive_accuracy
0.8819137749737119
prior_entropy
0.9355152453166837
relative_absolute_error
0.3919891386631927
root_mean_prior_squared_error
0.47747911240123586
root_mean_squared_error
0.29632602173111144
root_relative_squared_error
0.6206052035258506
total_cost
0
unweighted_recall
0.8557988989240269 [0.943805,0.767793]
area_under_roc_curve
0.9422245460456721 [0.942225,0.942225]
area_under_roc_curve
0.9428214074282554 [0.942821,0.942821]
area_under_roc_curve
0.9346872321570368 [0.934687,0.934687]
area_under_roc_curve
0.9422762423973513 [0.942276,0.942276]
area_under_roc_curve
0.9323123326265613 [0.932312,0.932312]
area_under_roc_curve
0.9361710897503507 [0.936171,0.936171]
area_under_roc_curve
0.9276619423259468 [0.927662,0.927662]
area_under_roc_curve
0.9359904567590077 [0.93599,0.93599]
area_under_roc_curve
0.9425975024155117 [0.942598,0.942598]
area_under_roc_curve
0.9283602282522121 [0.92836,0.92836]
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
0.8817933814337184 [0.913435,0.823341]
f_measure
0.8805974308495922 [0.911742,0.823065]
f_measure
0.8800973140021261 [0.913331,0.818846]
f_measure
0.8833460259463285 [0.913541,0.827695]
f_measure
0.8783630600448843 [0.911293,0.817671]
f_measure
0.8798841832179587 [0.912568,0.819646]
f_measure
0.876425677261417 [0.910506,0.813614]
f_measure
0.8756680097745352 [0.908304,0.815519]
f_measure
0.886797105803415 [0.916667,0.831746]
f_measure
0.8753831642129442 [0.908663,0.814046]
kappa
0.737370619688425
kappa
0.7352101051333619
kappa
0.7331418152441855
kappa
0.7415962867703165
kappa
0.7296979531735388
kappa
0.7329873841352209
kappa
0.725057790280674
kappa
0.7243056410945508
kappa
0.7488893123638497
kappa
0.7233349190355435
kb_relative_information_score
0.6332429952606007
kb_relative_information_score
0.6330473448860976
kb_relative_information_score
0.6252130243112777
kb_relative_information_score
0.6347458029049544
kb_relative_information_score
0.6254956283912392
kb_relative_information_score
0.6267293982623342
kb_relative_information_score
0.612979842202543
kb_relative_information_score
0.6209888783711698
kb_relative_information_score
0.6411708827095183
kb_relative_information_score
0.6215006588559026
mean_absolute_error
0.17655220636930177
mean_absolute_error
0.1755510187709547
mean_absolute_error
0.18015055751786696
mean_absolute_error
0.1759608139030248
mean_absolute_error
0.17981742858435007
mean_absolute_error
0.17995973235592305
mean_absolute_error
0.1843865590792724
mean_absolute_error
0.181079682790527
mean_absolute_error
0.17289341568447417
mean_absolute_error
0.18102981768691198
mean_prior_absolute_error
0.455852435405734
mean_prior_absolute_error
0.455852435405734
mean_prior_absolute_error
0.45600843386719786
mean_prior_absolute_error
0.45600843386719786
mean_prior_absolute_error
0.45600843386719786
mean_prior_absolute_error
0.45600843386719786
mean_prior_absolute_error
0.45600843386719786
mean_prior_absolute_error
0.45600843386719786
mean_prior_absolute_error
0.45600843386719786
mean_prior_absolute_error
0.45600843386719786
number_of_instances
1902 [1234,668]
number_of_instances
1902 [1234,668]
number_of_instances
1902 [1233,669]
number_of_instances
1902 [1233,669]
number_of_instances
1902 [1233,669]
number_of_instances
1902 [1233,669]
number_of_instances
1902 [1233,669]
number_of_instances
1902 [1233,669]
number_of_instances
1902 [1233,669]
number_of_instances
1902 [1233,669]
precision
0.8837778683082397 [0.884003,0.883362]
precision
0.8816391831588103 [0.88727,0.871237]
precision
0.8838762715604594 [0.876866,0.896797]
precision
0.884285766687278 [0.89,0.873754]
precision
0.880864359160715 [0.879336,0.883681]
precision
0.8826682697096447 [0.879609,0.888307]
precision
0.8798074745331107 [0.875093,0.888496]
precision
0.8768956507647793 [0.882263,0.867003]
precision
0.8884250066742486 [0.889397,0.886633]
precision
0.8772258806751695 [0.879363,0.873288]
predictive_accuracy
0.8838065194532072
predictive_accuracy
0.8822292323869612
predictive_accuracy
0.8827549947423765
predictive_accuracy
0.8848580441640378
predictive_accuracy
0.880651945320715
predictive_accuracy
0.8822292323869612
predictive_accuracy
0.879074658254469
predictive_accuracy
0.8774973711882229
predictive_accuracy
0.8885383806519453
predictive_accuracy
0.8774973711882229
prior_entropy
0.9351439892378896
prior_entropy
0.9351439892378896
prior_entropy
0.9356080593363955
prior_entropy
0.9356080593363955
prior_entropy
0.9356080593363955
prior_entropy
0.9356080593363955
prior_entropy
0.9356080593363955
prior_entropy
0.9356080593363955
prior_entropy
0.9356080593363955
prior_entropy
0.9356080593363955
relative_absolute_error
0.38730122438012315
relative_absolute_error
0.38510492680532576
relative_absolute_error
0.3950597053438089
relative_absolute_error
0.3858718410332503
relative_absolute_error
0.3943291729484061
relative_absolute_error
0.39464123685118563
relative_absolute_error
0.40434901064345413
relative_absolute_error
0.3970972230817607
relative_absolute_error
0.37914521496509307
relative_absolute_error
0.39698787180684647
root_mean_prior_squared_error
0.4773484094561718
root_mean_prior_squared_error
0.4773484094561718
root_mean_prior_squared_error
0.4775117825476151
root_mean_prior_squared_error
0.4775117825476151
root_mean_prior_squared_error
0.4775117825476151
root_mean_prior_squared_error
0.4775117825476151
root_mean_prior_squared_error
0.4775117825476151
root_mean_prior_squared_error
0.4775117825476151
root_mean_prior_squared_error
0.4775117825476151
root_mean_prior_squared_error
0.4775117825476151
root_mean_squared_error
0.29088861699488533
root_mean_squared_error
0.29229926738244844
root_mean_squared_error
0.2969589413646703
root_mean_squared_error
0.29076962307645215
root_mean_squared_error
0.2991345379140292
root_mean_squared_error
0.2964576552445801
root_mean_squared_error
0.3057323023139766
root_mean_squared_error
0.3003784459477978
root_mean_squared_error
0.2868523160155111
root_mean_squared_error
0.30323614557317163
root_relative_squared_error
0.6093842803965466
root_relative_squared_error
0.6123394602182836
root_relative_squared_error
0.6218881967274997
root_relative_squared_error
0.6089265934447555
root_relative_squared_error
0.6264443074432431
root_relative_squared_error
0.6208384087674713
root_relative_squared_error
0.6402612741466551
root_relative_squared_error
0.629049286166767
root_relative_squared_error
0.6007230114513615
root_relative_squared_error
0.6350338497520412
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
0.8579263676860218 [0.944895,0.770958]
unweighted_recall
0.8587707081784567 [0.937601,0.77994]
unweighted_recall
0.8531617441145771 [0.95296,0.753363]
unweighted_recall
0.8623049254616143 [0.938362,0.786248]
unweighted_recall
0.8532490298553603 [0.945661,0.760837]
unweighted_recall
0.8544655748675257 [0.948094,0.760837]
unweighted_recall
0.8496394007833895 [0.948905,0.750374]
unweighted_recall
0.852867154739434 [0.935929,0.769806]
unweighted_recall
0.8644597921871988 [0.945661,0.783259]
unweighted_recall
0.8511578089824301 [0.939984,0.762332]
usercpu_time_millis
4718.75
usercpu_time_millis
4656.25
usercpu_time_millis
5921.875
usercpu_time_millis
4625
usercpu_time_millis
5046.875
usercpu_time_millis
3875
usercpu_time_millis
4156.25
usercpu_time_millis
5453.125
usercpu_time_millis
4500
usercpu_time_millis
5812.5
usercpu_time_millis_testing
93.75
usercpu_time_millis_testing
46.875
usercpu_time_millis_testing
125
usercpu_time_millis_testing
31.25
usercpu_time_millis_testing
31.25
usercpu_time_millis_testing
62.5
usercpu_time_millis_testing
46.875
usercpu_time_millis_testing
62.5
usercpu_time_millis_testing
93.75
usercpu_time_millis_testing
31.25
usercpu_time_millis_training
4625
usercpu_time_millis_training
4609.375
usercpu_time_millis_training
5796.875
usercpu_time_millis_training
4593.75
usercpu_time_millis_training
5015.625
usercpu_time_millis_training
3812.5
usercpu_time_millis_training
4109.375
usercpu_time_millis_training
5390.625
usercpu_time_millis_training
4406.25
usercpu_time_millis_training
5781.25
wall_clock_time_millis
1590.0850296020508
wall_clock_time_millis
1624.0694522857666
wall_clock_time_millis
1632.063388824463
wall_clock_time_millis
1626.0671615600586
wall_clock_time_millis
1621.070146560669
wall_clock_time_millis
1586.0912799835205
wall_clock_time_millis
1667.0429706573486
wall_clock_time_millis
1648.0557918548584
wall_clock_time_millis
1618.0698871612549
wall_clock_time_millis
1616.075038909912
wall_clock_time_millis_testing
20.987510681152344
wall_clock_time_millis_testing
20.98679542541504
wall_clock_time_millis_testing
19.988298416137695
wall_clock_time_millis_testing
20.98703384399414
wall_clock_time_millis_testing
24.985790252685547
wall_clock_time_millis_testing
29.982805252075195
wall_clock_time_millis_testing
19.988059997558594
wall_clock_time_millis_testing
20.98846435546875
wall_clock_time_millis_testing
19.986867904663086
wall_clock_time_millis_testing
30.98320960998535
wall_clock_time_millis_training
1569.0975189208984
wall_clock_time_millis_training
1603.0826568603516
wall_clock_time_millis_training
1612.0750904083252
wall_clock_time_millis_training
1605.0801277160645
wall_clock_time_millis_training
1596.0843563079834
wall_clock_time_millis_training
1556.1084747314453
wall_clock_time_millis_training
1647.05491065979
wall_clock_time_millis_training
1627.0673274993896
wall_clock_time_millis_training
1598.0830192565918
wall_clock_time_millis_training
1585.0918292999268
weighted_recall
0.8838065194532071 [0.944895,0.770958]
weighted_recall
0.882229232386961 [0.937601,0.77994]
weighted_recall
0.8827549947423764 [0.95296,0.753363]
weighted_recall
0.8848580441640379 [0.938362,0.786248]
weighted_recall
0.880651945320715 [0.945661,0.760837]
weighted_recall
0.882229232386961 [0.948094,0.760837]
weighted_recall
0.879074658254469 [0.948905,0.750374]
weighted_recall
0.8774973711882229 [0.935929,0.769806]
weighted_recall
0.8885383806519453 [0.945661,0.783259]
weighted_recall
0.8774973711882229 [0.939984,0.762332]