10590960
32117
VAIBHAV JAISWAL
9983
Supervised Classification
19157
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.linear_model._logistic.LogisticRegression)(1)
8304384
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
19157
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"}}]
19157
verbose
false
19157
C
1.0
19158
class_weight
null
19158
dual
false
19158
fit_intercept
true
19158
intercept_scaling
1
19158
l1_ratio
null
19158
max_iter
5000
19158
multi_class
"auto"
19158
n_jobs
null
19158
penalty
"l2"
19158
random_state
43378
19158
solver
"lbfgs"
19158
tol
0.0001
19158
verbose
0
19158
warm_start
false
19158
openml-python
Sklearn_1.0.2.
1471
eeg-eye-state
https://www.openml.org/data/download/1587924/phplE7q6h
-1
22109516
description
https://api.openml.org/data/download/22109516/description.xml
-1
22109517
predictions
https://api.openml.org/data/download/22109517/predictions.arff
area_under_roc_curve
0.6194266657955008 [0.619427,0.619427]
average_cost
0
f_measure
0.5772679237842102 [0.675795,0.456259]
kappa
0.15257040495125657
kb_relative_information_score
0.0659850107960368
mean_absolute_error
0.4666991780916342
mean_prior_absolute_error
0.4947574918117115
weighted_recall
0.5937917222963952 [0.768076,0.379741]
number_of_instances
14980 [8257,6723]
precision
0.588987593184929 [0.603311,0.571397]
predictive_accuracy
0.5937917222963952
prior_entropy
0.9924223735239917
relative_absolute_error
0.9432887542190965
root_mean_prior_squared_error
0.4973714869043071
root_mean_squared_error
0.4827682342551969
root_relative_squared_error
0.9706391439123252
total_cost
0
unweighted_recall
0.5739083796059185 [0.768076,0.379741]
area_under_roc_curve
0.6109531736423383 [0.610953,0.610953]
area_under_roc_curve
0.6184981407817364 [0.618498,0.618498]
area_under_roc_curve
0.6064294361812521 [0.606429,0.606429]
area_under_roc_curve
0.6039829067220108 [0.603983,0.603983]
area_under_roc_curve
0.6609556958376572 [0.660956,0.660956]
area_under_roc_curve
0.625870157384988 [0.62587,0.62587]
area_under_roc_curve
0.6028677360774818 [0.602868,0.602868]
area_under_roc_curve
0.6108280426853978 [0.610828,0.610828]
area_under_roc_curve
0.6170597505515781 [0.61706,0.61706]
area_under_roc_curve
0.6270971227880588 [0.627097,0.627097]
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
0.5612323081713257 [0.667372,0.430769]
f_measure
0.5820197472982022 [0.687631,0.452206]
f_measure
0.572132955705297 [0.67023,0.451556]
f_measure
0.5721132768213597 [0.658643,0.465753]
f_measure
0.6253415620740214 [0.696182,0.538267]
f_measure
0.5736749886776686 [0.67411,0.450224]
f_measure
0.5511621447497473 [0.66457,0.411765]
f_measure
0.5803550438928056 [0.682515,0.455122]
f_measure
0.5667090428775955 [0.675761,0.433028]
f_measure
0.5845703119439991 [0.681237,0.466071]
kappa
0.12213859939739388
kappa
0.1661610878661089
kappa
0.14135029328755183
kappa
0.13691830403309213
kappa
0.24291477104303347
kappa
0.14569467418627977
kappa
0.10460251046025111
kappa
0.16135420683847615
kappa
0.1360418389268511
kappa
0.16754421995022759
kb_relative_information_score
0.06172364894328477
kb_relative_information_score
0.06069354334249247
kb_relative_information_score
0.06183795580229957
kb_relative_information_score
0.05728814047771987
kb_relative_information_score
0.09601838690009541
kb_relative_information_score
0.07064274582010771
kb_relative_information_score
0.05873270412628964
kb_relative_information_score
0.06308202118134928
kb_relative_information_score
0.06348135709694289
kb_relative_information_score
0.06635060963279944
mean_absolute_error
0.46819658022136296
mean_absolute_error
0.4693313722857106
mean_absolute_error
0.46806746891376816
mean_absolute_error
0.47004250444942003
mean_absolute_error
0.45442654264491017
mean_absolute_error
0.46474846434719586
mean_absolute_error
0.46925284942940193
mean_absolute_error
0.4681147994219821
mean_absolute_error
0.4678674005091861
mean_absolute_error
0.4669437986934324
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
0.5732727040767986 [0.592488,0.549654]
precision
0.5995832729814453 [0.606285,0.591346]
precision
0.5823729652782075 [0.6,0.560706]
precision
0.5772867890989201 [0.600798,0.548387]
precision
0.6312114967181636 [0.641182,0.618956]
precision
0.5855356302099731 [0.600948,0.566591]
precision
0.5646478351057963 [0.585952,0.538462]
precision
0.5953678504533351 [0.604869,0.583721]
precision
0.5823577140900692 [0.595745,0.565947]
precision
0.5971651881241904 [0.607992,0.583893]
predictive_accuracy
0.5801068090787717
predictive_accuracy
0.6021361815754339
predictive_accuracy
0.5881174899866489
predictive_accuracy
0.5834445927903872
predictive_accuracy
0.6335113484646194
predictive_accuracy
0.5907877169559412
predictive_accuracy
0.5727636849132176
predictive_accuracy
0.5987983978638184
predictive_accuracy
0.5874499332443258
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
0.9463545134810303
relative_absolute_error
0.9486482414519825
relative_absolute_error
0.9460935438929441
relative_absolute_error
0.9500856358312617
relative_absolute_error
0.9185214669322532
relative_absolute_error
0.9393849196002276
relative_absolute_error
0.9484895250866388
relative_absolute_error
0.9460585083676013
relative_absolute_error
0.9455585159582595
relative_absolute_error
0.9436919196506518
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
0.48338121436523646
root_mean_squared_error
0.4838086319629996
root_mean_squared_error
0.48369586079864857
root_mean_squared_error
0.4862114018548171
root_mean_squared_error
0.4776358025361239
root_mean_squared_error
0.47991461290261733
root_mean_squared_error
0.48551639033285626
root_mean_squared_error
0.48344975185754335
root_mean_squared_error
0.48263309033789936
root_mean_squared_error
0.4813748570131613
root_relative_squared_error
0.9719118649214495
root_relative_squared_error
0.9727712533755246
root_relative_squared_error
0.9725445097011811
root_relative_squared_error
0.9776023897480873
root_relative_squared_error
0.960359835674911
root_relative_squared_error
0.9649417324621277
root_relative_squared_error
0.9762049627807652
root_relative_squared_error
0.9719153977248715
root_relative_squared_error
0.9702736016486057
root_relative_squared_error
0.9677440805607475
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
0.5590445924132365 [0.763923,0.354167]
unweighted_recall
0.5801301452784503 [0.794189,0.366071]
unweighted_recall
0.5685280468119451 [0.75908,0.377976]
unweighted_recall
0.5667877320419693 [0.728814,0.404762]
unweighted_recall
0.6188458434221146 [0.761501,0.47619]
unweighted_recall
0.5705331920903955 [0.767554,0.373512]
unweighted_recall
0.5504439063761097 [0.767554,0.333333]
unweighted_recall
0.5779936061956865 [0.78303,0.372957]
unweighted_recall
0.5656373542257643 [0.780606,0.350669]
unweighted_recall
0.5811806024584628 [0.774545,0.387816]
usercpu_time_millis
234.375
usercpu_time_millis
265.625
usercpu_time_millis
203.125
usercpu_time_millis
171.875
usercpu_time_millis
312.5
usercpu_time_millis
281.25
usercpu_time_millis
343.75
usercpu_time_millis
250
usercpu_time_millis
312.5
usercpu_time_millis
328.125
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
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_training
234.375
usercpu_time_millis_training
265.625
usercpu_time_millis_training
203.125
usercpu_time_millis_training
171.875
usercpu_time_millis_training
312.5
usercpu_time_millis_training
281.25
usercpu_time_millis_training
343.75
usercpu_time_millis_training
234.375
usercpu_time_millis_training
312.5
usercpu_time_millis_training
328.125
wall_clock_time_millis
163.57159614562988
wall_clock_time_millis
211.8816375732422
wall_clock_time_millis
166.90683364868164
wall_clock_time_millis
179.8992156982422
wall_clock_time_millis
213.8993740081787
wall_clock_time_millis
195.88780403137207
wall_clock_time_millis
240.84186553955078
wall_clock_time_millis
216.87912940979004
wall_clock_time_millis
202.88372039794922
wall_clock_time_millis
223.88386726379395
wall_clock_time_millis_testing
1.9986629486083984
wall_clock_time_millis_testing
2.99835205078125
wall_clock_time_millis_testing
2.9985904693603516
wall_clock_time_millis_testing
2.9985904693603516
wall_clock_time_millis_testing
2.9969215393066406
wall_clock_time_millis_testing
3.0205249786376953
wall_clock_time_millis_testing
1.9981861114501953
wall_clock_time_millis_testing
2.998828887939453
wall_clock_time_millis_testing
2.9954910278320312
wall_clock_time_millis_testing
5.008220672607422
wall_clock_time_millis_training
161.57293319702148
wall_clock_time_millis_training
208.88328552246094
wall_clock_time_millis_training
163.9082431793213
wall_clock_time_millis_training
176.90062522888184
wall_clock_time_millis_training
210.90245246887207
wall_clock_time_millis_training
192.86727905273438
wall_clock_time_millis_training
238.8436794281006
wall_clock_time_millis_training
213.8803005218506
wall_clock_time_millis_training
199.8882293701172
wall_clock_time_millis_training
218.87564659118652
weighted_recall
0.5801068090787717 [0.763923,0.354167]
weighted_recall
0.6021361815754339 [0.794189,0.366071]
weighted_recall
0.5881174899866488 [0.75908,0.377976]
weighted_recall
0.5834445927903872 [0.728814,0.404762]
weighted_recall
0.6335113484646195 [0.761501,0.47619]
weighted_recall
0.5907877169559412 [0.767554,0.373512]
weighted_recall
0.5727636849132176 [0.767554,0.333333]
weighted_recall
0.5987983978638184 [0.78303,0.372957]
weighted_recall
0.5874499332443258 [0.780606,0.350669]
weighted_recall
0.6008010680907877 [0.774545,0.387816]