10590980
32117
VAIBHAV JAISWAL
9983
Supervised Classification
19170
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._gb.GradientBoostingClassifier)(1)
8304390
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
19170
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"}}]
19170
verbose
false
19170
ccp_alpha
0.0
19171
criterion
"friedman_mse"
19171
init
null
19171
learning_rate
0.1
19171
loss
"deviance"
19171
max_depth
3
19171
max_features
null
19171
max_leaf_nodes
null
19171
min_impurity_decrease
0.0
19171
min_samples_leaf
1
19171
min_samples_split
2
19171
min_weight_fraction_leaf
0.0
19171
n_estimators
100
19171
n_iter_no_change
null
19171
random_state
5908
19171
subsample
1.0
19171
tol
0.0001
19171
validation_fraction
0.1
19171
verbose
0
19171
warm_start
false
19171
openml-python
Sklearn_1.0.2.
1471
eeg-eye-state
https://www.openml.org/data/download/1587924/phplE7q6h
-1
22109556
description
https://api.openml.org/data/download/22109556/description.xml
-1
22109557
predictions
https://api.openml.org/data/download/22109557/predictions.arff
area_under_roc_curve
0.8969107673320187 [0.896911,0.896911]
average_cost
0
f_measure
0.8112693604330692 [0.837882,0.778585]
kappa
0.6175343550028403
kb_relative_information_score
0.3919134707106402
mean_absolute_error
0.32122048576113843
mean_prior_absolute_error
0.4947574918117115
weighted_recall
0.8128170894526034 [0.877558,0.733304]
number_of_instances
14980 [8257,6723]
precision
0.8142886526283742 [0.801637,0.829827]
predictive_accuracy
0.8128170894526034
prior_entropy
0.9924223735239917
relative_absolute_error
0.6492483511161957
root_mean_prior_squared_error
0.4973714869043071
root_mean_squared_error
0.37186178649256213
root_relative_squared_error
0.7476540096961918
total_cost
0
unweighted_recall
0.8054310099881267 [0.877558,0.733304]
area_under_roc_curve
0.9092568171336332 [0.909257,0.909257]
area_under_roc_curve
0.8968908537991469 [0.896891,0.896891]
area_under_roc_curve
0.9025585869941198 [0.902559,0.902559]
area_under_roc_curve
0.8946226795803067 [0.894623,0.894623]
area_under_roc_curve
0.8976114810330911 [0.897611,0.897611]
area_under_roc_curve
0.9013659489219418 [0.901366,0.901366]
area_under_roc_curve
0.9047249726161651 [0.904725,0.904725]
area_under_roc_curve
0.8835706245215904 [0.883571,0.883571]
area_under_roc_curve
0.8916529334954297 [0.891653,0.891653]
area_under_roc_curve
0.8887442028006663 [0.888744,0.888744]
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
0.8335817751037035 [0.857801,0.803813]
f_measure
0.8174655655938106 [0.843804,0.785091]
f_measure
0.8144870373688696 [0.839535,0.783699]
f_measure
0.8031739710833911 [0.832184,0.767516]
f_measure
0.8069164278963713 [0.836571,0.770465]
f_measure
0.8162844867957567 [0.838824,0.78858]
f_measure
0.8132564846552477 [0.840896,0.779283]
f_measure
0.7924006052582528 [0.819825,0.758782]
f_measure
0.80764037490383 [0.836863,0.771817]
f_measure
0.8072790065220798 [0.832262,0.776654]
kappa
0.6627276323681424
kappa
0.6300600895602364
kappa
0.6240260732291083
kappa
0.6011132672862832
kappa
0.60876013193894
kappa
0.6277930123908186
kappa
0.621550876565752
kappa
0.579416120737436
kappa
0.6103608084650445
kappa
0.6095762901184005
kb_relative_information_score
0.40435085117486413
kb_relative_information_score
0.38985935746987394
kb_relative_information_score
0.395824541829451
kb_relative_information_score
0.390033510131077
kb_relative_information_score
0.38918376964038176
kb_relative_information_score
0.3944112368556003
kb_relative_information_score
0.3942943038506115
kb_relative_information_score
0.3810128785303524
kb_relative_information_score
0.3923179874654715
kb_relative_information_score
0.3878491740135697
mean_absolute_error
0.3166026798031092
mean_absolute_error
0.32250361608942474
mean_absolute_error
0.3193797411303674
mean_absolute_error
0.321404323170924
mean_absolute_error
0.32218553609465106
mean_absolute_error
0.3201848819650224
mean_absolute_error
0.3204818916965726
mean_absolute_error
0.3253633639252248
mean_absolute_error
0.3209266655140135
mean_absolute_error
0.32317215822208134
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
0.8376230594317108 [0.817783,0.86201]
precision
0.821038408681958 [0.805281,0.840407]
precision
0.8166716720812375 [0.807606,0.827815]
precision
0.8070249356585436 [0.792123,0.825342]
precision
0.811959182827658 [0.792208,0.836237]
precision
0.817189450981876 [0.815789,0.81891]
precision
0.8173899103893815 [0.8,0.838765]
precision
0.7941352070847075 [0.789888,0.799342]
precision
0.8125931234817468 [0.792842,0.836806]
precision
0.8088895941772278 [0.803612,0.815359]
predictive_accuracy
0.8351134846461948
predictive_accuracy
0.8190921228304405
predictive_accuracy
0.8157543391188251
predictive_accuracy
0.8050734312416555
predictive_accuracy
0.8090787716955942
predictive_accuracy
0.8170894526034713
predictive_accuracy
0.815086782376502
predictive_accuracy
0.793724966622163
predictive_accuracy
0.8097463284379173
predictive_accuracy
0.8084112149532711
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
0.639941399978194
relative_absolute_error
0.6518688209039908
relative_absolute_error
0.6455546074049161
relative_absolute_error
0.6496468465047563
relative_absolute_error
0.6512258934427098
relative_absolute_error
0.6471820192550911
relative_absolute_error
0.6477823578988878
relative_absolute_error
0.6575583150386265
relative_absolute_error
0.6485917617782505
relative_absolute_error
0.6531298953398642
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
0.36428603527776204
root_mean_squared_error
0.37192417128294747
root_mean_squared_error
0.368571895857498
root_mean_squared_error
0.37332951267331016
root_mean_squared_error
0.373421983309646
root_mean_squared_error
0.3698065679428124
root_mean_squared_error
0.36922005562720717
root_mean_squared_error
0.3785758999708735
root_mean_squared_error
0.3741801942109224
root_mean_squared_error
0.37510659262965884
root_relative_squared_error
0.7324527916886158
root_relative_squared_error
0.7478104323844214
root_relative_squared_error
0.7410701699090635
root_relative_squared_error
0.7506360861975351
root_relative_squared_error
0.7508220125553264
root_relative_squared_error
0.7435526669804073
root_relative_squared_error
0.7423733942624804
root_relative_squared_error
0.7610796054305627
root_relative_squared_error
0.7522425875283938
root_relative_squared_error
0.7541049959465147
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
0.8274566182405165 [0.901937,0.752976]
unweighted_recall
0.8114028450363197 [0.886199,0.736607]
unweighted_recall
0.8090698143664246 [0.874092,0.744048]
unweighted_recall
0.7968876109765941 [0.876513,0.717262]
unweighted_recall
0.8002421307506054 [0.886199,0.714286]
unweighted_recall
0.8118063962873285 [0.863196,0.760417]
unweighted_recall
0.806938559322034 [0.886199,0.727679]
unweighted_recall
0.787130442613355 [0.852121,0.72214]
unweighted_recall
0.8011283713809717 [0.886061,0.716196]
unweighted_recall
0.8022432347246612 [0.86303,0.741456]
usercpu_time_millis
4078.125
usercpu_time_millis
4703.125
usercpu_time_millis
4796.875
usercpu_time_millis
3890.625
usercpu_time_millis
3671.875
usercpu_time_millis
3593.75
usercpu_time_millis
3781.25
usercpu_time_millis
3734.375
usercpu_time_millis
3656.25
usercpu_time_millis
3781.25
usercpu_time_millis_testing
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
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
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_training
4078.125
usercpu_time_millis_training
4687.5
usercpu_time_millis_training
4781.25
usercpu_time_millis_training
3875
usercpu_time_millis_training
3656.25
usercpu_time_millis_training
3593.75
usercpu_time_millis_training
3765.625
usercpu_time_millis_training
3734.375
usercpu_time_millis_training
3656.25
usercpu_time_millis_training
3765.625
wall_clock_time_millis
4759.26947593689
wall_clock_time_millis
5714.702606201172
wall_clock_time_millis
6214.4365310668945
wall_clock_time_millis
3953.754663467407
wall_clock_time_millis
3722.8667736053467
wall_clock_time_millis
3668.876886367798
wall_clock_time_millis
4125.630140304565
wall_clock_time_millis
3772.8378772735596
wall_clock_time_millis
3694.882392883301
wall_clock_time_millis
3866.7616844177246
wall_clock_time_millis_testing
5.976438522338867
wall_clock_time_millis_testing
11.992692947387695
wall_clock_time_millis_testing
4.995107650756836
wall_clock_time_millis_testing
8.016824722290039
wall_clock_time_millis_testing
5.997180938720703
wall_clock_time_millis_testing
5.994558334350586
wall_clock_time_millis_testing
7.972240447998047
wall_clock_time_millis_testing
5.996227264404297
wall_clock_time_millis_testing
4.999399185180664
wall_clock_time_millis_testing
4.997968673706055
wall_clock_time_millis_training
4753.293037414551
wall_clock_time_millis_training
5702.709913253784
wall_clock_time_millis_training
6209.441423416138
wall_clock_time_millis_training
3945.737838745117
wall_clock_time_millis_training
3716.869592666626
wall_clock_time_millis_training
3662.8823280334473
wall_clock_time_millis_training
4117.657899856567
wall_clock_time_millis_training
3766.8416500091553
wall_clock_time_millis_training
3689.88299369812
wall_clock_time_millis_training
3861.7637157440186
weighted_recall
0.835113484646195 [0.901937,0.752976]
weighted_recall
0.8190921228304406 [0.886199,0.736607]
weighted_recall
0.8157543391188251 [0.874092,0.744048]
weighted_recall
0.8050734312416555 [0.876513,0.717262]
weighted_recall
0.8090787716955942 [0.886199,0.714286]
weighted_recall
0.8170894526034713 [0.863196,0.760417]
weighted_recall
0.815086782376502 [0.886199,0.727679]
weighted_recall
0.7937249666221629 [0.852121,0.72214]
weighted_recall
0.8097463284379173 [0.886061,0.716196]
weighted_recall
0.8084112149532711 [0.86303,0.741456]