10590949
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)
8304385
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
27050
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
22109494
description
https://api.openml.org/data/download/22109494/description.xml
-1
22109495
predictions
https://api.openml.org/data/download/22109495/predictions.arff
area_under_roc_curve
0.57880246421793 [0.578802,0.578802]
average_cost
0
f_measure
0.5716014766119442 [0.7073,0.40494]
kappa
0.16577753300771922
kb_relative_information_score
0.20321647391203576
mean_absolute_error
0.3923898531375167
mean_prior_absolute_error
0.4947574918117115
weighted_recall
0.6076101468624833 [0.860119,0.297486]
number_of_instances
14980 [8257,6723]
precision
0.6155470307606723 [0.600592,0.633914]
predictive_accuracy
0.6076101468624833
prior_entropy
0.9924223735239917
relative_absolute_error
0.7930953237325558
root_mean_prior_squared_error
0.4973714869043071
root_mean_squared_error
0.6264102913726088
root_relative_squared_error
1.2594414996956358
total_cost
0
unweighted_recall
0.5788024642179301 [0.860119,0.297486]
area_under_roc_curve
0.5668760088781275 [0.566876,0.566876]
area_under_roc_curve
0.5932077280064568 [0.593208,0.593208]
area_under_roc_curve
0.5723743946731235 [0.572374,0.572374]
area_under_roc_curve
0.5787303268765133 [0.57873,0.57873]
area_under_roc_curve
0.5945066585956417 [0.594507,0.594507]
area_under_roc_curve
0.5823748991121872 [0.582375,0.582375]
area_under_roc_curve
0.5604317998385795 [0.560432,0.560432]
area_under_roc_curve
0.5870439911747489 [0.587044,0.587044]
area_under_roc_curve
0.5817263271646629 [0.581726,0.581726]
area_under_roc_curve
0.5707776126795443 [0.570778,0.570778]
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
0.5559741206591045 [0.703102,0.37513]
f_measure
0.5952507839698281 [0.69906,0.467652]
f_measure
0.5595123290724446 [0.710591,0.373812]
f_measure
0.5719326303163577 [0.706879,0.406061]
f_measure
0.5971374692291803 [0.698163,0.472961]
f_measure
0.5715985577934478 [0.716316,0.393717]
f_measure
0.5405706945466741 [0.708873,0.333699]
f_measure
0.579129379014749 [0.714923,0.412666]
f_measure
0.5746452057295229 [0.708873,0.410101]
f_measure
0.5600617521815483 [0.705128,0.382231]
kappa
0.14117427822221038
kappa
0.19344622713115417
kappa
0.15318501514767324
kappa
0.16559242460412188
kappa
0.19588828042293457
kappa
0.1741471933028515
kappa
0.12858733715267065
kappa
0.18329594392916798
kappa
0.1718256845820183
kappa
0.14927910320476648
kb_relative_information_score
0.18256343572043707
kb_relative_information_score
0.21916507292698614
kb_relative_information_score
0.19611959764878853
kb_relative_information_score
0.20289767861296423
kb_relative_information_score
0.22052068911982117
kb_relative_information_score
0.2150982243484806
kb_relative_information_score
0.1771409709490965
kb_relative_information_score
0.2206761139174254
kb_relative_information_score
0.2084780009178716
kb_relative_information_score
0.18950315847412125
mean_absolute_error
0.40253671562082777
mean_absolute_error
0.38451268357810414
mean_absolute_error
0.39586114819759677
mean_absolute_error
0.3925233644859813
mean_absolute_error
0.38384512683578104
mean_absolute_error
0.38651535380507346
mean_absolute_error
0.40520694259012013
mean_absolute_error
0.38384512683578104
mean_absolute_error
0.38985313751668893
mean_absolute_error
0.3991989319092123
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
0.6038431143242137 [0.592531,0.617747]
precision
0.6158692041325305 [0.61489,0.617073]
precision
0.6169602027411459 [0.595258,0.643636]
precision
0.614856286369247 [0.600847,0.632075]
precision
0.6160603596826754 [0.616311,0.615752]
precision
0.6297574311833345 [0.601646,0.664311]
precision
0.6089593475445879 [0.586974,0.635983]
precision
0.6296944162891693 [0.604866,0.660131]
precision
0.6192598856525586 [0.602032,0.640379]
precision
0.6090704311159826 [0.594347,0.627119]
predictive_accuracy
0.5974632843791722
predictive_accuracy
0.6154873164218959
predictive_accuracy
0.6041388518024032
predictive_accuracy
0.6074766355140188
predictive_accuracy
0.616154873164219
predictive_accuracy
0.6134846461949266
predictive_accuracy
0.5947930574098799
predictive_accuracy
0.616154873164219
predictive_accuracy
0.6101468624833111
predictive_accuracy
0.6008010680907877
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
0.8136378046364438
relative_absolute_error
0.7772062611452597
relative_absolute_error
0.8001446403804496
relative_absolute_error
0.7933980582524525
relative_absolute_error
0.7758569447196603
relative_absolute_error
0.781254210422058
relative_absolute_error
0.8190350703388413
relative_absolute_error
0.7757497703273405
relative_absolute_error
0.7878919406455077
relative_absolute_error
0.8067797611404344
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
0.634457812325475
root_mean_squared_error
0.6200908671945622
root_mean_squared_error
0.6291749742302191
root_mean_squared_error
0.6265168509194157
root_mean_squared_error
0.6195523600437505
root_mean_squared_error
0.6217035899888896
root_mean_squared_error
0.6365586717578515
root_mean_squared_error
0.6195523600437505
root_mean_squared_error
0.6243822046765017
root_mean_squared_error
0.6318219147111093
root_relative_squared_error
1.2756744723747429
root_relative_squared_error
1.2467875317563617
root_relative_squared_error
1.2650525183710468
root_relative_squared_error
1.2597079548931576
root_relative_squared_error
1.2457047807646702
root_relative_squared_error
1.2500301576012538
root_relative_squared_error
1.2798985715912177
root_relative_squared_error
1.2455327076075093
root_relative_squared_error
1.2552425075384297
root_relative_squared_error
1.2701991161817494
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
0.5668760088781275 [0.864407,0.269345]
unweighted_recall
0.5932077280064568 [0.809927,0.376488]
unweighted_recall
0.5723743946731235 [0.881356,0.263393]
unweighted_recall
0.5787303268765133 [0.858354,0.299107]
unweighted_recall
0.5945066585956417 [0.805085,0.383929]
unweighted_recall
0.5823748991121873 [0.884988,0.279762]
unweighted_recall
0.5604317998385795 [0.894673,0.22619]
unweighted_recall
0.5870439911747489 [0.873939,0.300149]
unweighted_recall
0.581726327164663 [0.861818,0.301634]
unweighted_recall
0.5707776126795443 [0.866667,0.274889]
usercpu_time_millis
62.5
usercpu_time_millis
62.5
usercpu_time_millis
62.5
usercpu_time_millis
78.125
usercpu_time_millis
78.125
usercpu_time_millis
109.375
usercpu_time_millis
93.75
usercpu_time_millis
125
usercpu_time_millis
125
usercpu_time_millis
78.125
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
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
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_training
62.5
usercpu_time_millis_training
62.5
usercpu_time_millis_training
62.5
usercpu_time_millis_training
78.125
usercpu_time_millis_training
62.5
usercpu_time_millis_training
109.375
usercpu_time_millis_training
93.75
usercpu_time_millis_training
125
usercpu_time_millis_training
109.375
usercpu_time_millis_training
78.125
wall_clock_time_millis
70.98031044006348
wall_clock_time_millis
71.37608528137207
wall_clock_time_millis
68.96424293518066
wall_clock_time_millis
86.97319030761719
wall_clock_time_millis
65.95969200134277
wall_clock_time_millis
109.91835594177246
wall_clock_time_millis
89.94793891906738
wall_clock_time_millis
126.92880630493164
wall_clock_time_millis
166.90611839294434
wall_clock_time_millis
74.95427131652832
wall_clock_time_millis_testing
1.9984245300292969
wall_clock_time_millis_testing
3.4368038177490234
wall_clock_time_millis_testing
1.9803047180175781
wall_clock_time_millis_testing
1.9991397857666016
wall_clock_time_millis_testing
2.9993057250976562
wall_clock_time_millis_testing
4.976749420166016
wall_clock_time_millis_testing
2.997159957885742
wall_clock_time_millis_testing
3.998994827270508
wall_clock_time_millis_testing
6.997346878051758
wall_clock_time_millis_testing
2.9993057250976562
wall_clock_time_millis_training
68.98188591003418
wall_clock_time_millis_training
67.93928146362305
wall_clock_time_millis_training
66.98393821716309
wall_clock_time_millis_training
84.97405052185059
wall_clock_time_millis_training
62.96038627624512
wall_clock_time_millis_training
104.94160652160645
wall_clock_time_millis_training
86.95077896118164
wall_clock_time_millis_training
122.92981147766113
wall_clock_time_millis_training
159.90877151489258
wall_clock_time_millis_training
71.95496559143066
weighted_recall
0.5974632843791722 [0.864407,0.269345]
weighted_recall
0.6154873164218959 [0.809927,0.376488]
weighted_recall
0.6041388518024032 [0.881356,0.263393]
weighted_recall
0.6074766355140186 [0.858354,0.299107]
weighted_recall
0.6161548731642189 [0.805085,0.383929]
weighted_recall
0.6134846461949266 [0.884988,0.279762]
weighted_recall
0.5947930574098799 [0.894673,0.22619]
weighted_recall
0.6161548731642189 [0.873939,0.300149]
weighted_recall
0.6101468624833111 [0.861818,0.301634]
weighted_recall
0.6008010680907877 [0.866667,0.274889]