10589102
32117
VAIBHAV JAISWAL
9983
Supervised Classification
19159
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.linear_model._stochastic_gradient.SGDClassifier)(1)
8304102
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
19159
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"}}]
19159
verbose
false
19159
alpha
0.0001
19160
average
false
19160
class_weight
null
19160
early_stopping
false
19160
epsilon
0.1
19160
eta0
0.0
19160
fit_intercept
true
19160
l1_ratio
0.15
19160
learning_rate
"optimal"
19160
loss
"hinge"
19160
max_iter
1000
19160
n_iter_no_change
5
19160
n_jobs
null
19160
penalty
"l2"
19160
power_t
0.5
19160
random_state
0
19160
shuffle
true
19160
tol
0.001
19160
validation_fraction
0.1
19160
verbose
0
19160
warm_start
false
19160
openml-python
Sklearn_1.0.2.
1471
eeg-eye-state
https://www.openml.org/data/download/1587924/phplE7q6h
-1
22105771
description
https://api.openml.org/data/download/22105771/description.xml
-1
22105772
predictions
https://api.openml.org/data/download/22105772/predictions.arff
area_under_roc_curve
0.564616537190617 [0.564617,0.564617]
average_cost
0
f_measure
0.5411057849376694 [0.715865,0.326471]
kappa
0.13791680162360498
kb_relative_information_score
0.1884411414275911
mean_absolute_error
0.39966622162883847
mean_prior_absolute_error
0.4947574918117115
weighted_recall
0.6003337783711615 [0.913407,0.215826]
number_of_instances
14980 [8257,6723]
precision
0.6250728230704764 [0.588575,0.669898]
predictive_accuracy
0.6003337783711615
prior_entropy
0.9924223735239917
relative_absolute_error
0.8078022632165383
root_mean_prior_squared_error
0.4973714869043071
root_mean_squared_error
0.6321916019917051
root_relative_squared_error
1.2710652271736216
total_cost
0
unweighted_recall
0.564616537190617 [0.913407,0.215826]
area_under_roc_curve
0.5612515133171913 [0.561252,0.561252]
area_under_roc_curve
0.5591328692493946 [0.559133,0.559133]
area_under_roc_curve
0.5697639225181598 [0.569764,0.569764]
area_under_roc_curve
0.5469884987893463 [0.546988,0.546988]
area_under_roc_curve
0.5964739709443099 [0.596474,0.596474]
area_under_roc_curve
0.5602804681194512 [0.56028,0.56028]
area_under_roc_curve
0.5572916666666666 [0.557292,0.557292]
area_under_roc_curve
0.5666324463055518 [0.566632,0.566632]
area_under_roc_curve
0.5663766941330092 [0.566377,0.566377]
area_under_roc_curve
0.5619982889819443 [0.561998,0.561998]
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
0.5284479621872725 [0.721525,0.291124]
f_measure
0.5135657626969548 [0.72876,0.249057]
f_measure
0.5581823143046062 [0.706575,0.375783]
f_measure
0.5238256826872056 [0.701051,0.305987]
f_measure
0.597279373193309 [0.705943,0.463713]
f_measure
0.5240834999326383 [0.723326,0.279182]
f_measure
0.5262730369464582 [0.716822,0.292056]
f_measure
0.5510836217482643 [0.708111,0.358591]
f_measure
0.5265848719578948 [0.72994,0.277301]
f_measure
0.5376534369027495 [0.713811,0.32171]
kappa
0.13161353259175956
kappa
0.12801507023219633
kappa
0.14742171885409722
kappa
0.10011553859795257
kappa
0.20083220666027846
kappa
0.12979783579759133
kappa
0.12290336543664106
kappa
0.14116812079192415
kappa
0.14315874523422448
kappa
0.1322707509995331
kb_relative_information_score
0.1879859004917776
kb_relative_information_score
0.1906971328774479
kb_relative_information_score
0.18934151668461283
kb_relative_information_score
0.15138426328522864
kb_relative_information_score
0.22865438627683207
kb_relative_information_score
0.1879859004917776
kb_relative_information_score
0.17849658714193165
kb_relative_information_score
0.18543712080760325
kb_relative_information_score
0.20170127147367498
kb_relative_information_score
0.1827264290299247
mean_absolute_error
0.3998664886515354
mean_absolute_error
0.3985313751668892
mean_absolute_error
0.3991989319092123
mean_absolute_error
0.417890520694259
mean_absolute_error
0.37983978638184246
mean_absolute_error
0.3998664886515354
mean_absolute_error
0.4045393858477971
mean_absolute_error
0.40120160213618156
mean_absolute_error
0.3931909212283044
mean_absolute_error
0.40253671562082777
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
0.641879718637465 [0.58566,0.710983]
precision
0.6826844602855544 [0.583273,0.804878]
precision
0.609899954769021 [0.594059,0.629371]
precision
0.5883457649105222 [0.578864,0.6]
precision
0.6232812600770621 [0.61587,0.632391]
precision
0.6497195155468469 [0.584765,0.72956]
precision
0.626615073379113 [0.583714,0.679348]
precision
0.6112491130554112 [0.590762,0.636364]
precision
0.6808066578280368 [0.587021,0.795775]
precision
0.6204821650068199 [0.586583,0.662037]
predictive_accuracy
0.6001335113484646
predictive_accuracy
0.6014686248331108
predictive_accuracy
0.6008010680907877
predictive_accuracy
0.582109479305741
predictive_accuracy
0.6201602136181575
predictive_accuracy
0.6001335113484646
predictive_accuracy
0.595460614152203
predictive_accuracy
0.5987983978638184
predictive_accuracy
0.6068090787716955
predictive_accuracy
0.5974632843791722
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
0.8082405389340461
relative_absolute_error
0.8055419060828473
relative_absolute_error
0.8068912225084466
relative_absolute_error
0.8446720824252302
relative_absolute_error
0.7677610461660638
relative_absolute_error
0.8082405389340461
relative_absolute_error
0.8176857539132419
relative_absolute_error
0.8108271512464899
relative_absolute_error
0.7946375908222671
relative_absolute_error
0.8135254113171938
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
0.6323499732359728
root_mean_squared_error
0.6312934144808492
root_mean_squared_error
0.6318219147111093
root_mean_squared_error
0.6464445225185678
root_mean_squared_error
0.6163114361926464
root_mean_squared_error
0.6323499732359728
root_mean_squared_error
0.636034107456351
root_mean_squared_error
0.6334047695874903
root_mean_squared_error
0.6270493770256887
root_mean_squared_error
0.634457812325475
root_relative_squared_error
1.2714363394900738
root_relative_squared_error
1.269311966511617
root_relative_squared_error
1.2703745970589748
root_relative_squared_error
1.2997755865923077
root_relative_squared_error
1.2391884076608222
root_relative_squared_error
1.2714363394900738
root_relative_squared_error
1.2788438548306333
root_relative_squared_error
1.2733812483905416
root_relative_squared_error
1.2606045247172588
root_relative_squared_error
1.27549825940891
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
0.5612515133171913 [0.939467,0.183036]
unweighted_recall
0.5591328692493946 [0.970944,0.147321]
unweighted_recall
0.5697639225181598 [0.871671,0.267857]
unweighted_recall
0.5469884987893462 [0.88862,0.205357]
unweighted_recall
0.5964739709443099 [0.826877,0.366071]
unweighted_recall
0.5602804681194512 [0.947942,0.172619]
unweighted_recall
0.5572916666666667 [0.928571,0.186012]
unweighted_recall
0.5666324463055519 [0.883636,0.249629]
unweighted_recall
0.5663766941330092 [0.964848,0.167905]
unweighted_recall
0.5619982889819443 [0.911515,0.212481]
usercpu_time_millis
78.125
usercpu_time_millis
78.125
usercpu_time_millis
62.5
usercpu_time_millis
46.875
usercpu_time_millis
62.5
usercpu_time_millis
62.5
usercpu_time_millis
109.375
usercpu_time_millis
62.5
usercpu_time_millis
62.5
usercpu_time_millis
62.5
usercpu_time_millis_testing
0
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
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
78.125
usercpu_time_millis_training
78.125
usercpu_time_millis_training
46.875
usercpu_time_millis_training
46.875
usercpu_time_millis_training
62.5
usercpu_time_millis_training
62.5
usercpu_time_millis_training
109.375
usercpu_time_millis_training
62.5
usercpu_time_millis_training
62.5
usercpu_time_millis_training
62.5
wall_clock_time_millis
70.9388256072998
wall_clock_time_millis
81.95209503173828
wall_clock_time_millis
57.9683780670166
wall_clock_time_millis
47.9738712310791
wall_clock_time_millis
68.96066665649414
wall_clock_time_millis
69.96321678161621
wall_clock_time_millis
130.92446327209473
wall_clock_time_millis
64.96286392211914
wall_clock_time_millis
65.9627914428711
wall_clock_time_millis
59.98516082763672
wall_clock_time_millis_testing
3.0012130737304688
wall_clock_time_millis_testing
1.9979476928710938
wall_clock_time_millis_testing
2.0003318786621094
wall_clock_time_millis_testing
1.9996166229248047
wall_clock_time_millis_testing
2.9997825622558594
wall_clock_time_millis_testing
3.0024051666259766
wall_clock_time_millis_testing
2.996206283569336
wall_clock_time_millis_testing
2.9973983764648438
wall_clock_time_millis_testing
1.9984245300292969
wall_clock_time_millis_testing
1.9986629486083984
wall_clock_time_millis_training
67.93761253356934
wall_clock_time_millis_training
79.95414733886719
wall_clock_time_millis_training
55.96804618835449
wall_clock_time_millis_training
45.9742546081543
wall_clock_time_millis_training
65.96088409423828
wall_clock_time_millis_training
66.96081161499023
wall_clock_time_millis_training
127.92825698852539
wall_clock_time_millis_training
61.9654655456543
wall_clock_time_millis_training
63.9643669128418
wall_clock_time_millis_training
57.98649787902832
weighted_recall
0.6001335113484646 [0.939467,0.183036]
weighted_recall
0.6014686248331108 [0.970944,0.147321]
weighted_recall
0.6008010680907877 [0.871671,0.267857]
weighted_recall
0.582109479305741 [0.88862,0.205357]
weighted_recall
0.6201602136181575 [0.826877,0.366071]
weighted_recall
0.6001335113484646 [0.947942,0.172619]
weighted_recall
0.595460614152203 [0.928571,0.186012]
weighted_recall
0.5987983978638184 [0.883636,0.249629]
weighted_recall
0.6068090787716955 [0.964848,0.167905]
weighted_recall
0.5974632843791722 [0.911515,0.212481]