10590929
32117
VAIBHAV JAISWAL
9983
Supervised Classification
19165
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.svm._classes.SVC)(1)
8304387
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
19165
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"}}]
19165
verbose
false
19165
C
1.0
19166
break_ties
false
19166
cache_size
200
19166
class_weight
null
19166
coef0
0.0
19166
decision_function_shape
"ovr"
19166
degree
3
19166
gamma
"scale"
19166
kernel
"rbf"
19166
max_iter
-1
19166
probability
false
19166
random_state
41600
19166
shrinking
true
19166
tol
0.001
19166
verbose
false
19166
openml-python
Sklearn_1.0.2.
1471
eeg-eye-state
https://www.openml.org/data/download/1587924/phplE7q6h
-1
22109454
description
https://api.openml.org/data/download/22109454/description.xml
-1
22109455
predictions
https://api.openml.org/data/download/22109455/predictions.arff
area_under_roc_curve
0.6280217105509313 [0.628022,0.628022]
average_cost
0
f_measure
0.62428058770322 [0.744574,0.476539]
kappa
0.2695281631927362
kb_relative_information_score
0.30284830305026456
mean_absolute_error
0.34332443257676903
mean_prior_absolute_error
0.4947574918117115
weighted_recall
0.656675567423231 [0.907836,0.348208]
number_of_instances
14980 [8257,6723]
precision
0.6865504441562137 [0.631083,0.754674]
predictive_accuracy
0.656675567423231
prior_entropy
0.9924223735239917
relative_absolute_error
0.6939246767534084
root_mean_prior_squared_error
0.4973714869043071
root_mean_squared_error
0.5859389324637586
root_relative_squared_error
1.178071015109259
total_cost
0
unweighted_recall
0.6280217105509313 [0.907836,0.348208]
area_under_roc_curve
0.7344128329297821 [0.734413,0.734413]
area_under_roc_curve
0.6085805084745761 [0.608581,0.608581]
area_under_roc_curve
0.6091858353510896 [0.609186,0.609186]
area_under_roc_curve
0.5983782284100081 [0.598378,0.598378]
area_under_roc_curve
0.7253203188054884 [0.72532,0.72532]
area_under_roc_curve
0.6030821226795803 [0.603082,0.603082]
area_under_roc_curve
0.5768134584342212 [0.576813,0.576813]
area_under_roc_curve
0.6098590661443559 [0.609859,0.609859]
area_under_roc_curve
0.6157836912963212 [0.615784,0.615784]
area_under_roc_curve
0.5988914404070422 [0.598891,0.598891]
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
0.7425989555880366 [0.803401,0.667864]
f_measure
0.5977325728566648 [0.739088,0.423983]
f_measure
0.5982734476136217 [0.739699,0.424437]
f_measure
0.5899997132318695 [0.726647,0.422037]
f_measure
0.7332921142597356 [0.788901,0.66494]
f_measure
0.5939415325725733 [0.731898,0.42437]
f_measure
0.5577886653995601 [0.721797,0.356195]
f_measure
0.5977668194423086 [0.740812,0.422414]
f_measure
0.6109269397095126 [0.734958,0.458883]
f_measure
0.5891497044220857 [0.728074,0.418848]
kappa
0.48427689341635627
kappa
0.23025699997325702
kappa
0.23157472417251765
kappa
0.2077662662795962
kappa
0.4625760517799353
kappa
0.21801984423343654
kappa
0.16361340926184598
kappa
0.2330525716534502
kappa
0.2436049254531639
kappa
0.20896692539994555
kb_relative_information_score
0.49842200865102626
kb_relative_information_score
0.2706784882547215
kb_relative_information_score
0.2720341044475567
kb_relative_information_score
0.24627739678368898
kb_relative_information_score
0.47402091717999356
kb_relative_information_score
0.25712232632637017
kb_relative_information_score
0.2110313757699752
kb_relative_information_score
0.2735346035821586
kb_relative_information_score
0.27760064124867656
kb_relative_information_score
0.24778303169421176
mean_absolute_error
0.24699599465954605
mean_absolute_error
0.3591455273698264
mean_absolute_error
0.35847797062750336
mean_absolute_error
0.3711615487316422
mean_absolute_error
0.2590120160213618
mean_absolute_error
0.3658210947930574
mean_absolute_error
0.3885180240320427
mean_absolute_error
0.35781041388518026
mean_absolute_error
0.35580774365821094
mean_absolute_error
0.3704939919893191
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
0.7723067888680862 [0.715909,0.841629]
precision
0.6789588370847881 [0.616505,0.755725]
precision
0.6804286982295539 [0.616815,0.758621]
precision
0.6513415237977348 [0.611755,0.7]
precision
0.750396989899902 [0.716403,0.792181]
precision
0.6622592575541335 [0.614122,0.721429]
precision
0.6401492414974247 [0.596367,0.693966]
precision
0.6847085141227114 [0.616251,0.768627]
precision
0.6685937615729897 [0.623103,0.724359]
precision
0.6551376818649827 [0.61102,0.70922]
predictive_accuracy
0.753004005340454
predictive_accuracy
0.6408544726301736
predictive_accuracy
0.6415220293724967
predictive_accuracy
0.6288384512683578
predictive_accuracy
0.7409879839786382
predictive_accuracy
0.6341789052069425
predictive_accuracy
0.6114819759679573
predictive_accuracy
0.6421895861148198
predictive_accuracy
0.644192256341789
predictive_accuracy
0.6295060080106809
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
0.4992470774717814
relative_absolute_error
0.7259322369724821
relative_absolute_error
0.7245829205468827
relative_absolute_error
0.7502199326332715
relative_absolute_error
0.5235347731325707
relative_absolute_error
0.7394254012284762
relative_absolute_error
0.7853021596988562
relative_absolute_error
0.7231336989486167
relative_absolute_error
0.7190863088425609
relative_absolute_error
0.7487671696203028
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
0.49698691598426015
root_mean_squared_error
0.5992875164475115
root_mean_squared_error
0.5987302987385082
root_mean_squared_error
0.6092302920338435
root_mean_squared_error
0.508932231265973
root_mean_squared_error
0.6048314598241872
root_mean_squared_error
0.6233121401288786
root_mean_squared_error
0.5981725619628339
root_mean_squared_error
0.5964962226688539
root_mean_squared_error
0.6086821765004452
root_relative_squared_error
0.9992682090265363
root_relative_squared_error
1.2049592131947224
root_relative_squared_error
1.203838841763996
root_relative_squared_error
1.2249506842643982
root_relative_squared_error
1.0232860924433957
root_relative_squared_error
1.2161061593029188
root_relative_squared_error
1.2532643936863885
root_relative_squared_error
1.2025512914929046
root_relative_squared_error
1.1991812205281966
root_relative_squared_error
1.223679560054448
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
0.7344128329297821 [0.915254,0.553571]
unweighted_recall
0.6085805084745762 [0.922518,0.294643]
unweighted_recall
0.6091858353510896 [0.923729,0.294643]
unweighted_recall
0.5983782284100081 [0.894673,0.302083]
unweighted_recall
0.7253203188054882 [0.877724,0.572917]
unweighted_recall
0.6030821226795803 [0.905569,0.300595]
unweighted_recall
0.5768134584342212 [0.914044,0.239583]
unweighted_recall
0.6098590661443559 [0.928485,0.291233]
unweighted_recall
0.6157836912963213 [0.895758,0.33581]
unweighted_recall
0.5988914404070422 [0.900606,0.297177]
usercpu_time_millis
13578.125
usercpu_time_millis
17250
usercpu_time_millis
16671.875
usercpu_time_millis
18546.875
usercpu_time_millis
12531.25
usercpu_time_millis
14062.5
usercpu_time_millis
14031.25
usercpu_time_millis
13937.5
usercpu_time_millis
13656.25
usercpu_time_millis
15578.125
usercpu_time_millis_testing
2546.875
usercpu_time_millis_testing
4265.625
usercpu_time_millis_testing
3500
usercpu_time_millis_testing
3250
usercpu_time_millis_testing
2406.25
usercpu_time_millis_testing
2750
usercpu_time_millis_testing
2781.25
usercpu_time_millis_testing
2796.875
usercpu_time_millis_testing
2812.5
usercpu_time_millis_testing
3734.375
usercpu_time_millis_training
11031.25
usercpu_time_millis_training
12984.375
usercpu_time_millis_training
13171.875
usercpu_time_millis_training
15296.875
usercpu_time_millis_training
10125
usercpu_time_millis_training
11312.5
usercpu_time_millis_training
11250
usercpu_time_millis_training
11140.625
usercpu_time_millis_training
10843.75
usercpu_time_millis_training
11843.75
wall_clock_time_millis
16357.62357711792
wall_clock_time_millis
21165.867805480957
wall_clock_time_millis
19113.046407699585
wall_clock_time_millis
22296.94437980652
wall_clock_time_millis
13442.31653213501
wall_clock_time_millis
15054.369926452637
wall_clock_time_millis
15007.398843765259
wall_clock_time_millis
14997.402667999268
wall_clock_time_millis
14253.832340240479
wall_clock_time_millis
18689.289093017578
wall_clock_time_millis_testing
3022.2678184509277
wall_clock_time_millis_testing
5144.052028656006
wall_clock_time_millis_testing
4528.406858444214
wall_clock_time_millis_testing
3341.085195541382
wall_clock_time_millis_testing
2592.534065246582
wall_clock_time_millis_testing
2937.331438064575
wall_clock_time_millis_testing
2918.327569961548
wall_clock_time_millis_testing
3022.2678184509277
wall_clock_time_millis_testing
2884.347438812256
wall_clock_time_millis_testing
5873.632907867432
wall_clock_time_millis_training
13335.355758666992
wall_clock_time_millis_training
16021.815776824951
wall_clock_time_millis_training
14584.639549255371
wall_clock_time_millis_training
18955.859184265137
wall_clock_time_millis_training
10849.782466888428
wall_clock_time_millis_training
12117.038488388062
wall_clock_time_millis_training
12089.071273803711
wall_clock_time_millis_training
11975.13484954834
wall_clock_time_millis_training
11369.484901428223
wall_clock_time_millis_training
12815.656185150146
weighted_recall
0.753004005340454 [0.915254,0.553571]
weighted_recall
0.6408544726301736 [0.922518,0.294643]
weighted_recall
0.6415220293724967 [0.923729,0.294643]
weighted_recall
0.6288384512683578 [0.894673,0.302083]
weighted_recall
0.7409879839786382 [0.877724,0.572917]
weighted_recall
0.6341789052069426 [0.905569,0.300595]
weighted_recall
0.6114819759679573 [0.914044,0.239583]
weighted_recall
0.6421895861148198 [0.928485,0.291233]
weighted_recall
0.644192256341789 [0.895758,0.33581]
weighted_recall
0.6295060080106809 [0.900606,0.297177]