10591078
32117
VAIBHAV JAISWAL
34539
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)
8304412
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
28309
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.
4135
Amazon_employee_access
https://www.openml.org/data/download/1681098/phpmPOD5A
-1
22109752
description
https://api.openml.org/data/download/22109752/description.xml
-1
22109753
predictions
https://api.openml.org/data/download/22109753/predictions.arff
area_under_roc_curve
0.8357375302966743 [0.835738,0.835738]
average_cost
0
f_measure
0.9284966303732233 [0.211434,0.972558]
kappa
0.19850787492007685
kb_relative_information_score
-0.14412929213374975
mean_absolute_error
0.08900266158125865
mean_prior_absolute_error
0.10910149339756714
weighted_recall
0.9469620678079893 [0.122826,0.997603]
number_of_instances
32769 [1897,30872]
precision
0.9377535465583764 [0.758958,0.94874]
predictive_accuracy
0.9469620678079893
prior_entropy
0.3190117574285477
relative_absolute_error
0.8157785820303292
root_mean_prior_squared_error
0.23353547592409915
root_mean_squared_error
0.2079635957519232
root_relative_squared_error
0.890501089519748
total_cost
0
unweighted_recall
0.5602142599647594 [0.122826,0.997603]
area_under_roc_curve
0.8413555116922993 [0.841356,0.841356]
area_under_roc_curve
0.8359985401760013 [0.835999,0.835999]
area_under_roc_curve
0.8381847475832438 [0.838185,0.838185]
area_under_roc_curve
0.8337220602526725 [0.833722,0.833722]
area_under_roc_curve
0.8355156598980444 [0.835516,0.835516]
area_under_roc_curve
0.8315064873067022 [0.831506,0.831506]
area_under_roc_curve
0.8405818969191686 [0.840582,0.840582]
area_under_roc_curve
0.8066688830920841 [0.806669,0.806669]
area_under_roc_curve
0.8455219681857705 [0.845522,0.845522]
area_under_roc_curve
0.8501396023261913 [0.85014,0.85014]
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
0.9242123266386987 [0.144231,0.971951]
f_measure
0.9204942020310354 [0.097561,0.970862]
f_measure
0.9262147550236159 [0.19469,0.971239]
f_measure
0.9354845649871066 [0.306383,0.974205]
f_measure
0.9309137781983726 [0.242152,0.973306]
f_measure
0.9288796728379553 [0.217195,0.972683]
f_measure
0.9306983088673877 [0.241071,0.973144]
f_measure
0.9284733043455975 [0.210046,0.972691]
f_measure
0.9294899964146427 [0.225225,0.972836]
f_measure
0.9290887831263388 [0.217195,0.972674]
kappa
0.13511774317427572
kappa
0.08936261616824649
kappa
0.17953508079271244
kappa
0.2906314118951659
kappa
0.2289207789694412
kappa
0.20425104254832288
kappa
0.22747417934125402
kappa
0.19772643329092598
kappa
0.21205478839255487
kappa
0.20389380530973353
kb_relative_information_score
-0.14816591027116988
kb_relative_information_score
-0.12811667814248706
kb_relative_information_score
-0.17712910255573
kb_relative_information_score
-0.12468945955830461
kb_relative_information_score
-0.15571592083642286
kb_relative_information_score
-0.16764285913504262
kb_relative_information_score
-0.09624789807699326
kb_relative_information_score
-0.18815218740414327
kb_relative_information_score
-0.11960770502716561
kb_relative_information_score
-0.13574623669310856
mean_absolute_error
0.08964109487501677
mean_absolute_error
0.08873819235870876
mean_absolute_error
0.0909263317379668
mean_absolute_error
0.08821229852174346
mean_absolute_error
0.08915691332356973
mean_absolute_error
0.0892017381344781
mean_absolute_error
0.08747853822615774
mean_absolute_error
0.09026175283568165
mean_absolute_error
0.08784741926009179
mean_absolute_error
0.08856220212981666
mean_prior_absolute_error
0.10891106478653569
mean_prior_absolute_error
0.10891106478653569
mean_prior_absolute_error
0.10918087433135354
mean_prior_absolute_error
0.10918087433135354
mean_prior_absolute_error
0.10918087433135354
mean_prior_absolute_error
0.10918087433135354
mean_prior_absolute_error
0.10918087433135354
mean_prior_absolute_error
0.10918087433135354
mean_prior_absolute_error
0.10918087433135354
mean_prior_absolute_error
0.10892663072181365
number_of_instances
3277 [189,3088]
number_of_instances
3277 [189,3088]
number_of_instances
3277 [190,3087]
number_of_instances
3277 [190,3087]
number_of_instances
3277 [190,3087]
number_of_instances
3277 [190,3087]
number_of_instances
3277 [190,3087]
number_of_instances
3277 [190,3087]
number_of_instances
3277 [190,3087]
number_of_instances
3276 [189,3087]
precision
0.9375311919446794 [0.789474,0.946593]
precision
0.9266466789197418 [0.625,0.945109]
precision
0.9286218591679588 [0.611111,0.948164]
precision
0.9435181674255311 [0.8,0.952351]
precision
0.9421248895596881 [0.818182,0.949753]
precision
0.9387329913460079 [0.774194,0.94886]
precision
0.9407150567616055 [0.794118,0.949738]
precision
0.9395690181305443 [0.793103,0.948584]
precision
0.9394175765349664 [0.78125,0.949153]
precision
0.9376482025988807 [0.75,0.949137]
predictive_accuracy
0.9456820262435154
predictive_accuracy
0.9435459261519682
predictive_accuracy
0.9444613976197742
predictive_accuracy
0.950259383582545
predictive_accuracy
0.9484284406469332
predictive_accuracy
0.9472078120231919
predictive_accuracy
0.9481232834909978
predictive_accuracy
0.9472078120231919
predictive_accuracy
0.9475129691791273
predictive_accuracy
0.9471916971916972
prior_entropy
0.31814512654009053
prior_entropy
0.31814512654009053
prior_entropy
0.3193730160067579
prior_entropy
0.3193730160067579
prior_entropy
0.3193730160067579
prior_entropy
0.3193730160067579
prior_entropy
0.3193730160067579
prior_entropy
0.3193730160067579
prior_entropy
0.3193730160067579
prior_entropy
0.3182159663170137
relative_absolute_error
0.8230669220864949
relative_absolute_error
0.8147766485676593
relative_absolute_error
0.8328045758455282
relative_absolute_error
0.8079464380732796
relative_absolute_error
0.8165982720836894
relative_absolute_error
0.8170088276061916
relative_absolute_error
0.8012258443788306
relative_absolute_error
0.8267176223717153
relative_absolute_error
0.8046044675689558
relative_absolute_error
0.8130445378044838
root_mean_prior_squared_error
0.2331274113100656
root_mean_prior_squared_error
0.2331274113100656
root_mean_prior_squared_error
0.23370536889200969
root_mean_prior_squared_error
0.23370536889200969
root_mean_prior_squared_error
0.23370536889200969
root_mean_prior_squared_error
0.23370536889200969
root_mean_prior_squared_error
0.23370536889200969
root_mean_prior_squared_error
0.23370536889200969
root_mean_prior_squared_error
0.23370536889200969
root_mean_prior_squared_error
0.23316079395861228
root_mean_squared_error
0.21080670536459364
root_mean_squared_error
0.20903302467902182
root_mean_squared_error
0.20932820098424443
root_mean_squared_error
0.20712023814633776
root_mean_squared_error
0.2058454565312907
root_mean_squared_error
0.20972121488916246
root_mean_squared_error
0.20660731615334535
root_mean_squared_error
0.21078783107386911
root_mean_squared_error
0.20471192466007782
root_mean_squared_error
0.20556386521536285
root_relative_squared_error
0.9042553347972246
root_relative_squared_error
0.8966471317309075
root_relative_squared_error
0.8956927347311844
root_relative_squared_error
0.8862451005224602
root_relative_squared_error
0.8807904478497776
root_relative_squared_error
0.8973743987288123
root_relative_squared_error
0.8840503627831255
root_relative_squared_error
0.9019383340366036
root_relative_squared_error
0.8759401875558575
root_relative_squared_error
0.8816399263585109
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
0.5390348712887573 [0.079365,0.998705]
unweighted_recall
0.5254835238643529 [0.05291,0.998057]
unweighted_recall
0.5556271631459602 [0.115789,0.995465]
unweighted_recall
0.5932791161577413 [0.189474,0.997085]
unweighted_recall
0.5700808142805995 [0.142105,0.998056]
unweighted_recall
0.5620241078887696 [0.126316,0.997732]
unweighted_recall
0.5699188447308747 [0.142105,0.997732]
unweighted_recall
0.5595544984911258 [0.121053,0.998056]
unweighted_recall
0.564655686836138 [0.131579,0.997732]
unweighted_recall
0.5621963070942663 [0.126984,0.997408]
usercpu_time_millis
5781.25
usercpu_time_millis
5750
usercpu_time_millis
5890.625
usercpu_time_millis
5343.75
usercpu_time_millis
5218.75
usercpu_time_millis
6125
usercpu_time_millis
5718.75
usercpu_time_millis
6390.625
usercpu_time_millis
5796.875
usercpu_time_millis
5765.625
usercpu_time_millis_testing
187.5
usercpu_time_millis_testing
171.875
usercpu_time_millis_testing
187.5
usercpu_time_millis_testing
187.5
usercpu_time_millis_testing
171.875
usercpu_time_millis_testing
187.5
usercpu_time_millis_testing
171.875
usercpu_time_millis_testing
187.5
usercpu_time_millis_testing
140.625
usercpu_time_millis_testing
187.5
usercpu_time_millis_training
5593.75
usercpu_time_millis_training
5578.125
usercpu_time_millis_training
5703.125
usercpu_time_millis_training
5156.25
usercpu_time_millis_training
5046.875
usercpu_time_millis_training
5937.5
usercpu_time_millis_training
5546.875
usercpu_time_millis_training
6203.125
usercpu_time_millis_training
5656.25
usercpu_time_millis_training
5578.125
wall_clock_time_millis
2014.8208141326904
wall_clock_time_millis
1985.8617782592773
wall_clock_time_millis
1982.8627109527588
wall_clock_time_millis
1976.8657684326172
wall_clock_time_millis
2010.847806930542
wall_clock_time_millis
1996.854543685913
wall_clock_time_millis
1992.8555488586426
wall_clock_time_millis
1978.8658618927002
wall_clock_time_millis
1983.8628768920898
wall_clock_time_millis
1958.8770866394043
wall_clock_time_millis_testing
53.9700984954834
wall_clock_time_millis_testing
51.970720291137695
wall_clock_time_millis_testing
51.97000503540039
wall_clock_time_millis_testing
50.97079277038574
wall_clock_time_millis_testing
49.97134208679199
wall_clock_time_millis_testing
51.97000503540039
wall_clock_time_millis_testing
60.965538024902344
wall_clock_time_millis_testing
50.971031188964844
wall_clock_time_millis_testing
50.97031593322754
wall_clock_time_millis_testing
44.974327087402344
wall_clock_time_millis_training
1960.850715637207
wall_clock_time_millis_training
1933.8910579681396
wall_clock_time_millis_training
1930.8927059173584
wall_clock_time_millis_training
1925.8949756622314
wall_clock_time_millis_training
1960.87646484375
wall_clock_time_millis_training
1944.8845386505127
wall_clock_time_millis_training
1931.8900108337402
wall_clock_time_millis_training
1927.8948307037354
wall_clock_time_millis_training
1932.8925609588623
wall_clock_time_millis_training
1913.902759552002
weighted_recall
0.9456820262435154 [0.079365,0.998705]
weighted_recall
0.9435459261519683 [0.05291,0.998057]
weighted_recall
0.9444613976197742 [0.115789,0.995465]
weighted_recall
0.950259383582545 [0.189474,0.997085]
weighted_recall
0.9484284406469332 [0.142105,0.998056]
weighted_recall
0.9472078120231919 [0.126316,0.997732]
weighted_recall
0.9481232834909978 [0.142105,0.997732]
weighted_recall
0.9472078120231919 [0.121053,0.998056]
weighted_recall
0.9475129691791272 [0.131579,0.997732]
weighted_recall
0.9471916971916972 [0.126984,0.997408]