10589073
32117
VAIBHAV JAISWAL
9983
Supervised Classification
19172
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._forest.ExtraTreesClassifier)(1)
8304108
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
19172
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"}}]
19172
verbose
false
19172
bootstrap
false
19173
ccp_alpha
0.0
19173
class_weight
null
19173
criterion
"gini"
19173
max_depth
null
19173
max_features
"auto"
19173
max_leaf_nodes
null
19173
max_samples
null
19173
min_impurity_decrease
0.0
19173
min_samples_leaf
1
19173
min_samples_split
2
19173
min_weight_fraction_leaf
0.0
19173
n_estimators
100
19173
n_jobs
null
19173
oob_score
false
19173
random_state
0
19173
verbose
0
19173
warm_start
false
19173
openml-python
Sklearn_1.0.2.
1471
eeg-eye-state
https://www.openml.org/data/download/1587924/phplE7q6h
-1
22105713
description
https://api.openml.org/data/download/22105713/description.xml
-1
22105714
predictions
https://api.openml.org/data/download/22105714/predictions.arff
area_under_roc_curve
0.9908891821237826 [0.990889,0.990889]
average_cost
0
f_measure
0.9500108331729312 [0.955565,0.94319]
kappa
0.8987947907977445
kb_relative_information_score
0.6359108958475064
mean_absolute_error
0.20623030707610232
mean_prior_absolute_error
0.4947574918117115
weighted_recall
0.9501335113484646 [0.97275,0.922356]
number_of_instances
14980 [8257,6723]
precision
0.9506491984498956 [0.938976,0.964986]
predictive_accuracy
0.9501335113484646
prior_entropy
0.9924223735239917
relative_absolute_error
0.4168310950096473
root_mean_prior_squared_error
0.4973714869043071
root_mean_squared_error
0.2548223942346372
root_relative_squared_error
0.512338163614241
total_cost
0
unweighted_recall
0.9475532423181078 [0.97275,0.922356]
area_under_roc_curve
0.9897553830854375 [0.989755,0.989755]
area_under_roc_curve
0.9932324094892193 [0.993232,0.993232]
area_under_roc_curve
0.993957540643376 [0.993958,0.993958]
area_under_roc_curve
0.9901229029747493 [0.990123,0.990123]
area_under_roc_curve
0.9918821342096159 [0.991882,0.991882]
area_under_roc_curve
0.9894896517929205 [0.98949,0.98949]
area_under_roc_curve
0.9918713248011068 [0.991871,0.991871]
area_under_roc_curve
0.9895690936106984 [0.989569,0.989569]
area_under_roc_curve
0.9907100724931334 [0.99071,0.99071]
area_under_roc_curve
0.9889270115718852 [0.988927,0.988927]
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
0.9430520290368208 [0.949793,0.934766]
f_measure
0.957842957093286 [0.962522,0.952091]
f_measure
0.9598765164637028 [0.964158,0.954614]
f_measure
0.9485035588821371 [0.95403,0.941711]
f_measure
0.9490652170964285 [0.955189,0.941538]
f_measure
0.9498411287813022 [0.955224,0.943225]
f_measure
0.9484647284874806 [0.954248,0.941356]
f_measure
0.9478311893395425 [0.953405,0.940998]
f_measure
0.9451251618165659 [0.95119,0.93769]
f_measure
0.9504788045661693 [0.955952,0.943769]
kappa
0.8846470923964741
kappa
0.914646036187751
kappa
0.9187896880613251
kappa
0.8957655959414497
kappa
0.8968177434908389
kappa
0.8984729830598533
kappa
0.895649420556013
kappa
0.894430982235305
kappa
0.8889256616842544
kappa
0.8997621824955465
kb_relative_information_score
0.6386046302974937
kb_relative_information_score
0.642157196117652
kb_relative_information_score
0.6434170488267421
kb_relative_information_score
0.6332103153308768
kb_relative_information_score
0.6333400117072663
kb_relative_information_score
0.638091068607697
kb_relative_information_score
0.6309113589236942
kb_relative_information_score
0.6259277015924023
kb_relative_information_score
0.6364784599202483
kb_relative_information_score
0.63697283317454
mean_absolute_error
0.2042790387182911
mean_absolute_error
0.2034579439252337
mean_absolute_error
0.20320427236315078
mean_absolute_error
0.20730974632843804
mean_absolute_error
0.20806408544726282
mean_absolute_error
0.20491989319092135
mean_absolute_error
0.2088985313751667
mean_absolute_error
0.21130841121495314
mean_absolute_error
0.20541388518024034
mean_absolute_error
0.20544726301735616
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
0.9442922307968779 [0.927336,0.965135]
precision
0.9584736417964821 [0.946199,0.973561]
precision
0.9602273713766396 [0.951651,0.970769]
precision
0.9488636035007622 [0.941107,0.958398]
precision
0.9505430331444195 [0.931034,0.974522]
precision
0.950204290044286 [0.942285,0.959938]
precision
0.9491595467698793 [0.936989,0.964119]
precision
0.9482264599099623 [0.939929,0.958398]
precision
0.9457622486762974 [0.934503,0.959565]
precision
0.951133593347331 [0.939181,0.965785]
predictive_accuracy
0.9432576769025367
predictive_accuracy
0.9579439252336448
predictive_accuracy
0.9599465954606141
predictive_accuracy
0.9485981308411214
predictive_accuracy
0.9492656875834445
predictive_accuracy
0.9499332443257678
predictive_accuracy
0.9485981308411214
predictive_accuracy
0.9479305740987983
predictive_accuracy
0.945260347129506
predictive_accuracy
0.9506008010680909
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
0.41290431939767525
relative_absolute_error
0.41124466019418804
relative_absolute_error
0.41073191995245995
relative_absolute_error
0.41903021596989676
relative_absolute_error
0.42055494353082346
relative_absolute_error
0.41419966316625084
relative_absolute_error
0.4222415890628227
relative_absolute_error
0.42705362139028913
relative_absolute_error
0.4151408031781322
relative_absolute_error
0.41520825967989905
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
0.25490266212067747
root_mean_squared_error
0.25027221494891116
root_mean_squared_error
0.2491727300472486
root_mean_squared_error
0.2567745656604127
root_mean_squared_error
0.2551430918715479
root_mean_squared_error
0.2545425751488696
root_mean_squared_error
0.25681719847245804
root_mean_squared_error
0.2594625748934911
root_mean_squared_error
0.2552930983949969
root_mean_squared_error
0.2556801970252446
root_relative_squared_error
0.5125207897052418
root_relative_squared_error
0.5032105674367959
root_relative_squared_error
0.5009998848751431
root_relative_squared_error
0.5162845380806234
root_relative_squared_error
0.5130042104932381
root_relative_squared_error
0.5117967797729086
root_relative_squared_error
0.5163702578699542
root_relative_squared_error
0.5216171291916073
root_relative_squared_error
0.5132349169890605
root_relative_squared_error
0.5140131304801842
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
0.939807808716707 [0.973366,0.90625]
unweighted_recall
0.9554832526230832 [0.979419,0.931548]
unweighted_recall
0.9579928369652946 [0.976998,0.938988]
unweighted_recall
0.9464537933817595 [0.967312,0.925595]
unweighted_recall
0.9456719128329298 [0.98063,0.910714]
unweighted_recall
0.9478031678773204 [0.968523,0.927083]
unweighted_recall
0.9458989104116222 [0.972155,0.919643]
unweighted_recall
0.9457463190598406 [0.967273,0.92422]
unweighted_recall
0.942637669413301 [0.968485,0.91679]
unweighted_recall
0.9480336800396236 [0.973333,0.922734]
usercpu_time_millis
1593.75
usercpu_time_millis
1578.125
usercpu_time_millis
1578.125
usercpu_time_millis
1609.375
usercpu_time_millis
1546.875
usercpu_time_millis
1562.5
usercpu_time_millis
1578.125
usercpu_time_millis
1562.5
usercpu_time_millis
1562.5
usercpu_time_millis
1562.5
usercpu_time_millis_testing
78.125
usercpu_time_millis_testing
62.5
usercpu_time_millis_testing
62.5
usercpu_time_millis_testing
78.125
usercpu_time_millis_testing
78.125
usercpu_time_millis_testing
62.5
usercpu_time_millis_testing
62.5
usercpu_time_millis_testing
78.125
usercpu_time_millis_testing
78.125
usercpu_time_millis_testing
78.125
usercpu_time_millis_training
1515.625
usercpu_time_millis_training
1515.625
usercpu_time_millis_training
1515.625
usercpu_time_millis_training
1531.25
usercpu_time_millis_training
1468.75
usercpu_time_millis_training
1500
usercpu_time_millis_training
1515.625
usercpu_time_millis_training
1484.375
usercpu_time_millis_training
1484.375
usercpu_time_millis_training
1484.375
wall_clock_time_millis
1593.0681228637695
wall_clock_time_millis
1585.0915908813477
wall_clock_time_millis
1586.094856262207
wall_clock_time_millis
1602.0817756652832
wall_clock_time_millis
1540.0991439819336
wall_clock_time_millis
1571.1240768432617
wall_clock_time_millis
1580.094337463379
wall_clock_time_millis
1565.0806427001953
wall_clock_time_millis
1554.1095733642578
wall_clock_time_millis
1561.0876083374023
wall_clock_time_millis_testing
67.93975830078125
wall_clock_time_millis_testing
65.9632682800293
wall_clock_time_millis_testing
70.94073295593262
wall_clock_time_millis_testing
64.96334075927734
wall_clock_time_millis_testing
69.9622631072998
wall_clock_time_millis_testing
67.98577308654785
wall_clock_time_millis_testing
68.9394474029541
wall_clock_time_millis_testing
70.96028327941895
wall_clock_time_millis_testing
69.94032859802246
wall_clock_time_millis_testing
68.96376609802246
wall_clock_time_millis_training
1525.1283645629883
wall_clock_time_millis_training
1519.1283226013184
wall_clock_time_millis_training
1515.1541233062744
wall_clock_time_millis_training
1537.1184349060059
wall_clock_time_millis_training
1470.1368808746338
wall_clock_time_millis_training
1503.1383037567139
wall_clock_time_millis_training
1511.1548900604248
wall_clock_time_millis_training
1494.1203594207764
wall_clock_time_millis_training
1484.1692447662354
wall_clock_time_millis_training
1492.1238422393799
weighted_recall
0.9432576769025367 [0.973366,0.90625]
weighted_recall
0.9579439252336449 [0.979419,0.931548]
weighted_recall
0.9599465954606141 [0.976998,0.938988]
weighted_recall
0.9485981308411215 [0.967312,0.925595]
weighted_recall
0.9492656875834445 [0.98063,0.910714]
weighted_recall
0.9499332443257676 [0.968523,0.927083]
weighted_recall
0.9485981308411215 [0.972155,0.919643]
weighted_recall
0.9479305740987984 [0.967273,0.92422]
weighted_recall
0.945260347129506 [0.968485,0.91679]
weighted_recall
0.9506008010680908 [0.973333,0.922734]