10590934
32117
VAIBHAV JAISWAL
9983
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)
8304392
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
9210
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.
1471
eeg-eye-state
https://www.openml.org/data/download/1587924/phplE7q6h
-1
22109464
description
https://api.openml.org/data/download/22109464/description.xml
-1
22109465
predictions
https://api.openml.org/data/download/22109465/predictions.arff
area_under_roc_curve
0.9683499787099361 [0.96835,0.96835]
average_cost
0
f_measure
0.9041524124335425 [0.914483,0.891464]
kappa
0.8059993388212255
kb_relative_information_score
0.6469351278178996
mean_absolute_error
0.1922224243312998
mean_prior_absolute_error
0.4947574918117115
weighted_recall
0.9043391188251001 [0.92794,0.875353]
number_of_instances
14980 [8257,6723]
precision
0.9044488946045709 [0.901412,0.908179]
predictive_accuracy
0.9043391188251002
prior_entropy
0.9924223735239917
relative_absolute_error
0.3885184711956891
root_mean_prior_squared_error
0.4973714869043071
root_mean_squared_error
0.2740689494259767
root_relative_squared_error
0.5510347027164965
total_cost
0
unweighted_recall
0.901646597334034 [0.92794,0.875353]
area_under_roc_curve
0.9717514124293786 [0.971751,0.971751]
area_under_roc_curve
0.9698075204658135 [0.969808,0.969808]
area_under_roc_curve
0.972677418424997 [0.972677,0.972677]
area_under_roc_curve
0.9664692148045659 [0.966469,0.966469]
area_under_roc_curve
0.9705137351550791 [0.970514,0.970514]
area_under_roc_curve
0.9681158480341289 [0.968116,0.968116]
area_under_roc_curve
0.9702741265997925 [0.970274,0.970274]
area_under_roc_curve
0.9634076275383854 [0.963408,0.963408]
area_under_roc_curve
0.9662857400153091 [0.966286,0.966286]
area_under_roc_curve
0.964392813724166 [0.964393,0.964393]
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
0.9129307526067271 [0.923077,0.900459]
f_measure
0.8970163922568376 [0.908005,0.88351]
f_measure
0.9117123547386969 [0.921241,0.9]
f_measure
0.8943028400734295 [0.90584,0.880121]
f_measure
0.9096806679979516 [0.919595,0.897494]
f_measure
0.8998664886515354 [0.909201,0.888393]
f_measure
0.9156612578623844 [0.925178,0.903963]
f_measure
0.8943247168672783 [0.905615,0.880484]
f_measure
0.9057364196590565 [0.915518,0.893745]
f_measure
0.9002787789240625 [0.911362,0.886692]
kappa
0.8236517153071832
kappa
0.7915601993574013
kappa
0.8212875797145461
kappa
0.7860270851790911
kappa
0.8171495841719516
kappa
0.7975938256658596
kappa
0.8292207134171058
kappa
0.7861550665792074
kappa
0.8092946489677327
kappa
0.7981420553512677
kb_relative_information_score
0.6539413909908209
kb_relative_information_score
0.6458550321762239
kb_relative_information_score
0.6536280853670471
kb_relative_information_score
0.6390754850931993
kb_relative_information_score
0.6484541157967614
kb_relative_information_score
0.647573756207223
kb_relative_information_score
0.6550012550095222
kb_relative_information_score
0.6346783701084361
kb_relative_information_score
0.6469635727599815
kb_relative_information_score
0.6441832022612803
mean_absolute_error
0.18941182693604577
mean_absolute_error
0.19248442749080408
mean_absolute_error
0.1893629028453293
mean_absolute_error
0.19516669925095503
mean_absolute_error
0.1922112767984111
mean_absolute_error
0.19125115259796485
mean_absolute_error
0.18948545536999342
mean_absolute_error
0.19788191008524614
mean_absolute_error
0.19165493311280224
mean_absolute_error
0.19331365882543816
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.49480533738838384
mean_prior_absolute_error
0.49480533738838384
mean_prior_absolute_error
0.49480533738838384
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [825,673]
number_of_instances
1498 [825,673]
number_of_instances
1498 [825,673]
precision
0.9138433555758654 [0.902778,0.927445]
precision
0.8972290872590644 [0.896226,0.898462]
precision
0.9120175920835623 [0.908235,0.916667]
precision
0.8946269459198017 [0.892019,0.897833]
precision
0.9100823945454541 [0.905041,0.916279]
precision
0.8998664886515354 [0.909201,0.888393]
precision
0.9162859725943838 [0.907925,0.926562]
precision
0.8945893058926963 [0.892815,0.896764]
precision
0.9058937093547904 [0.905213,0.906728]
precision
0.9008080348044537 [0.89486,0.9081]
predictive_accuracy
0.9132176234979973
predictive_accuracy
0.897196261682243
predictive_accuracy
0.9118825100133512
predictive_accuracy
0.8945260347129507
predictive_accuracy
0.9098798397863819
predictive_accuracy
0.8998664886515354
predictive_accuracy
0.9158878504672897
predictive_accuracy
0.8945260347129507
predictive_accuracy
0.9058744993324432
predictive_accuracy
0.9005340453938585
prior_entropy
0.9923629998200836
prior_entropy
0.9923629998200836
prior_entropy
0.9923629998200836
prior_entropy
0.9923629998200836
prior_entropy
0.9923629998200836
prior_entropy
0.9923629998200836
prior_entropy
0.9923629998200836
prior_entropy
0.992560912165838
prior_entropy
0.992560912165838
prior_entropy
0.992560912165838
relative_absolute_error
0.38285358095282357
relative_absolute_error
0.3890641547287897
relative_absolute_error
0.3827546918621651
relative_absolute_error
0.39448576627794163
relative_absolute_error
0.388512041788357
relative_absolute_error
0.38657136577964907
relative_absolute_error
0.383002404339688
relative_absolute_error
0.39991870566651583
relative_absolute_error
0.38733400517538874
relative_absolute_error
0.39068628452102155
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4974195830102464
root_mean_prior_squared_error
0.4974195830102464
root_mean_prior_squared_error
0.4974195830102464
root_mean_squared_error
0.2685290065346377
root_mean_squared_error
0.2736644345771698
root_mean_squared_error
0.26814436994321117
root_mean_squared_error
0.27950543848304094
root_mean_squared_error
0.27145666105812816
root_mean_squared_error
0.27434380896855726
root_mean_squared_error
0.2685515457927603
root_mean_squared_error
0.2816387006978177
root_mean_squared_error
0.2767737034916029
root_mean_squared_error
0.27769754994009016
root_relative_squared_error
0.539918639306876
root_relative_squared_error
0.5502442028531169
root_relative_squared_error
0.5391452686094208
root_relative_squared_error
0.5619884345908427
root_relative_squared_error
0.5458051365128295
root_relative_squared_error
0.5516101889777127
root_relative_squared_error
0.5399639579327243
root_relative_squared_error
0.5661994628225488
root_relative_squared_error
0.5564189930292744
root_relative_squared_error
0.5582762710296627
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
0.9096549636803875 [0.94431,0.875]
unweighted_recall
0.8945722356739306 [0.920097,0.869048]
unweighted_recall
0.9092766343825666 [0.934625,0.883929]
unweighted_recall
0.8915960451977402 [0.920097,0.863095]
unweighted_recall
0.9070444915254237 [0.934625,0.879464]
unweighted_recall
0.8987969128329298 [0.909201,0.888393]
unweighted_recall
0.9127698748991122 [0.943099,0.88244]
unweighted_recall
0.8917862127966141 [0.918788,0.864785]
unweighted_recall
0.9035949389886982 [0.926061,0.881129]
unweighted_recall
0.8973776396956189 [0.928485,0.86627]
usercpu_time_millis
4031.25
usercpu_time_millis
5578.125
usercpu_time_millis
5359.375
usercpu_time_millis
4671.875
usercpu_time_millis
5593.75
usercpu_time_millis
5156.25
usercpu_time_millis
4718.75
usercpu_time_millis
4328.125
usercpu_time_millis
3750
usercpu_time_millis
6265.625
usercpu_time_millis_testing
46.875
usercpu_time_millis_testing
62.5
usercpu_time_millis_testing
93.75
usercpu_time_millis_testing
46.875
usercpu_time_millis_testing
125
usercpu_time_millis_testing
78.125
usercpu_time_millis_testing
125
usercpu_time_millis_testing
46.875
usercpu_time_millis_testing
0
usercpu_time_millis_testing
62.5
usercpu_time_millis_training
3984.375
usercpu_time_millis_training
5515.625
usercpu_time_millis_training
5265.625
usercpu_time_millis_training
4625
usercpu_time_millis_training
5468.75
usercpu_time_millis_training
5078.125
usercpu_time_millis_training
4593.75
usercpu_time_millis_training
4281.25
usercpu_time_millis_training
3750
usercpu_time_millis_training
6203.125
wall_clock_time_millis
1991.8584823608398
wall_clock_time_millis
1917.9003238677979
wall_clock_time_millis
1909.9044799804688
wall_clock_time_millis
1883.920431137085
wall_clock_time_millis
2207.7341079711914
wall_clock_time_millis
2206.7365646362305
wall_clock_time_millis
1944.8845386505127
wall_clock_time_millis
1950.8817195892334
wall_clock_time_millis
1938.887357711792
wall_clock_time_millis
1901.9091129302979
wall_clock_time_millis_testing
20.987510681152344
wall_clock_time_millis_testing
24.98459815979004
wall_clock_time_millis_testing
22.986412048339844
wall_clock_time_millis_testing
27.9843807220459
wall_clock_time_millis_testing
27.9843807220459
wall_clock_time_millis_testing
20.989656448364258
wall_clock_time_millis_testing
20.987987518310547
wall_clock_time_millis_testing
20.98679542541504
wall_clock_time_millis_testing
21.986961364746094
wall_clock_time_millis_testing
22.988319396972656
wall_clock_time_millis_training
1970.8709716796875
wall_clock_time_millis_training
1892.9157257080078
wall_clock_time_millis_training
1886.918067932129
wall_clock_time_millis_training
1855.936050415039
wall_clock_time_millis_training
2179.7497272491455
wall_clock_time_millis_training
2185.746908187866
wall_clock_time_millis_training
1923.8965511322021
wall_clock_time_millis_training
1929.8949241638184
wall_clock_time_millis_training
1916.900396347046
wall_clock_time_millis_training
1878.9207935333252
weighted_recall
0.9132176234979973 [0.94431,0.875]
weighted_recall
0.897196261682243 [0.920097,0.869048]
weighted_recall
0.9118825100133512 [0.934625,0.883929]
weighted_recall
0.8945260347129506 [0.920097,0.863095]
weighted_recall
0.9098798397863819 [0.934625,0.879464]
weighted_recall
0.8998664886515354 [0.909201,0.888393]
weighted_recall
0.9158878504672897 [0.943099,0.88244]
weighted_recall
0.8945260347129506 [0.918788,0.864785]
weighted_recall
0.9058744993324432 [0.926061,0.881129]
weighted_recall
0.9005340453938585 [0.928485,0.86627]