10590967
32117
VAIBHAV JAISWAL
9983
Supervised Classification
19168
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._weight_boosting.AdaBoostClassifier)(1)
8304389
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
19168
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"}}]
19168
verbose
false
19168
algorithm
"SAMME.R"
19169
base_estimator
null
19169
learning_rate
1.0
19169
n_estimators
50
19169
random_state
38778
19169
openml-python
Sklearn_1.0.2.
1471
eeg-eye-state
https://www.openml.org/data/download/1587924/phplE7q6h
-1
22109530
description
https://api.openml.org/data/download/22109530/description.xml
-1
22109531
predictions
https://api.openml.org/data/download/22109531/predictions.arff
area_under_roc_curve
0.8171278180782103 [0.817128,0.817128]
average_cost
0
f_measure
0.741017106575328 [0.77293,0.701822]
kappa
0.47533372669788015
kb_relative_information_score
0.0024824353119669
mean_absolute_error
0.49335318147909857
mean_prior_absolute_error
0.4947574918117115
weighted_recall
0.7421895861148198 [0.796052,0.676037]
number_of_instances
14980 [8257,6723]
precision
0.7414818097943932 [0.751114,0.729652]
predictive_accuracy
0.7421895861148198
prior_entropy
0.9924223735239917
relative_absolute_error
0.9971616188620598
root_mean_prior_squared_error
0.4973714869043071
root_mean_squared_error
0.49381972064071755
root_relative_squared_error
0.9928589266632549
total_cost
0
unweighted_recall
0.7360446590366148 [0.796052,0.676037]
area_under_roc_curve
0.8288402225296898 [0.82884,0.82884]
area_under_roc_curve
0.8085500619739422 [0.80855,0.80855]
area_under_roc_curve
0.8241345266920328 [0.824135,0.824135]
area_under_roc_curve
0.8218005952380951 [0.821801,0.821801]
area_under_roc_curve
0.8204223956531765 [0.820422,0.820422]
area_under_roc_curve
0.8159950420846306 [0.815995,0.815995]
area_under_roc_curve
0.82679454196933 [0.826795,0.826795]
area_under_roc_curve
0.8018127786032689 [0.801813,0.801813]
area_under_roc_curve
0.8131901481381423 [0.81319,0.81319]
area_under_roc_curve
0.8110964023594038 [0.811096,0.811096]
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
0.75226359328427 [0.784337,0.71284]
f_measure
0.7386811669981018 [0.769776,0.700461]
f_measure
0.7498516717596413 [0.77685,0.716667]
f_measure
0.7385688145160243 [0.773706,0.69538]
f_measure
0.7412570529271705 [0.776033,0.698512]
f_measure
0.735825137947183 [0.768235,0.695988]
f_measure
0.7440851284427679 [0.780854,0.698891]
f_measure
0.7170065231048117 [0.747764,0.679303]
f_measure
0.7530978527628257 [0.784038,0.71517]
f_measure
0.7391559466977122 [0.767025,0.704992]
kappa
0.49797195061477245
kappa
0.47065986756983025
kappa
0.4936481425245471
kappa
0.4701689176287886
kappa
0.47561705215188593
kappa
0.46478265285395076
kappa
0.4813378574890934
kappa
0.4272551263347993
kappa
0.4998702644246909
kappa
0.4721549111765248
kb_relative_information_score
0.002736425912380664
kb_relative_information_score
0.0008899246578923747
kb_relative_information_score
0.0020947020033302843
kb_relative_information_score
0.003870738708674921
kb_relative_information_score
0.003732950144710681
kb_relative_information_score
0.0014684612377220624
kb_relative_information_score
0.004477795965998398
kb_relative_information_score
0.002130187980756443
kb_relative_information_score
0.0020633185327492715
kb_relative_information_score
0.0013602256211715782
mean_absolute_error
0.4932039872430915
mean_absolute_error
0.4939580821047257
mean_absolute_error
0.4934843950463545
mean_absolute_error
0.4928136557488836
mean_absolute_error
0.49282857857641243
mean_absolute_error
0.4937158331283914
mean_absolute_error
0.49259419153232925
mean_absolute_error
0.49351647432235024
mean_absolute_error
0.49359138576818207
mean_absolute_error
0.4938252313202292
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
0.7532364704507224 [0.758192,0.747145]
precision
0.7388862569447434 [0.751152,0.72381]
precision
0.7497579052389388 [0.765882,0.729938]
precision
0.7398375373248383 [0.744681,0.733884]
precision
0.7425554489485128 [0.74692,0.73719]
precision
0.7362013400957775 [0.74714,0.722756]
precision
0.7464304131534747 [0.745595,0.747458]
precision
0.7168589718921731 [0.735915,0.693498]
precision
0.7538492476691055 [0.759954,0.746365]
precision
0.739041559242625 [0.756184,0.718028]
predictive_accuracy
0.7536715620827771
predictive_accuracy
0.739652870493992
predictive_accuracy
0.7503337783711614
predictive_accuracy
0.7403204272363151
predictive_accuracy
0.7429906542056075
predictive_accuracy
0.7369826435246997
predictive_accuracy
0.7463284379172229
predictive_accuracy
0.7176234979973297
predictive_accuracy
0.7543391188251002
predictive_accuracy
0.739652870493992
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
0.9969013852550208
relative_absolute_error
0.9984256191047488
relative_absolute_error
0.9974681668195247
relative_absolute_error
0.9961124175715687
relative_absolute_error
0.9961425807247877
relative_absolute_error
0.9979359670615159
relative_absolute_error
0.9956688198165711
relative_absolute_error
0.9973952118769853
relative_absolute_error
0.997546607668767
relative_absolute_error
0.9980192087795017
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
0.49371286186472213
root_mean_squared_error
0.49431135170199164
root_mean_squared_error
0.49391823847279154
root_mean_squared_error
0.4933276308191546
root_mean_squared_error
0.49341196325254993
root_mean_squared_error
0.49412235802174853
root_mean_squared_error
0.4931352941090243
root_mean_squared_error
0.4939832564303845
root_mean_squared_error
0.49404688728927765
root_mean_squared_error
0.4942258714104818
root_relative_squared_error
0.992685222450708
root_relative_squared_error
0.9938885778079097
root_relative_squared_error
0.9930981635337041
root_relative_squared_error
0.9919106565122802
root_relative_squared_error
0.9920802197683166
root_relative_squared_error
0.9935085771070868
root_relative_squared_error
0.9915239341385506
root_relative_squared_error
0.9930916942210715
root_relative_squared_error
0.9932196161225536
root_relative_squared_error
0.9935794413632911
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
0.7469481436642453 [0.812349,0.681548]
unweighted_recall
0.7339588377723971 [0.789346,0.678571]
unweighted_recall
0.7460023204196933 [0.788136,0.703869]
unweighted_recall
0.7328995157384988 [0.805085,0.660714]
unweighted_recall
0.7355982647296206 [0.807506,0.66369]
unweighted_recall
0.7308439265536724 [0.790557,0.671131]
unweighted_recall
0.7379312953995157 [0.819613,0.65625]
unweighted_recall
0.7128380386329867 [0.76,0.665676]
unweighted_recall
0.7480877121887524 [0.809697,0.686478]
unweighted_recall
0.7353019046332567 [0.778182,0.692422]
usercpu_time_millis
1734.375
usercpu_time_millis
1671.875
usercpu_time_millis
1718.75
usercpu_time_millis
2109.375
usercpu_time_millis
1671.875
usercpu_time_millis
1703.125
usercpu_time_millis
1671.875
usercpu_time_millis
1687.5
usercpu_time_millis
1734.375
usercpu_time_millis
1718.75
usercpu_time_millis_testing
31.25
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
31.25
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
31.25
usercpu_time_millis_testing
31.25
usercpu_time_millis_testing
31.25
usercpu_time_millis_testing
31.25
usercpu_time_millis_testing
31.25
usercpu_time_millis_testing
31.25
usercpu_time_millis_training
1703.125
usercpu_time_millis_training
1656.25
usercpu_time_millis_training
1687.5
usercpu_time_millis_training
2093.75
usercpu_time_millis_training
1640.625
usercpu_time_millis_training
1671.875
usercpu_time_millis_training
1640.625
usercpu_time_millis_training
1656.25
usercpu_time_millis_training
1703.125
usercpu_time_millis_training
1687.5
wall_clock_time_millis
1735.0068092346191
wall_clock_time_millis
1702.0246982574463
wall_clock_time_millis
1724.013328552246
wall_clock_time_millis
2127.7806758880615
wall_clock_time_millis
1723.0112552642822
wall_clock_time_millis
1709.9974155426025
wall_clock_time_millis
1734.985113143921
wall_clock_time_millis
1707.0412635803223
wall_clock_time_millis
1732.0115566253662
wall_clock_time_millis
1741.001844406128
wall_clock_time_millis_testing
27.985095977783203
wall_clock_time_millis_testing
25.984525680541992
wall_clock_time_millis_testing
25.986194610595703
wall_clock_time_millis_testing
26.98230743408203
wall_clock_time_millis_testing
31.958580017089844
wall_clock_time_millis_testing
27.962446212768555
wall_clock_time_millis_testing
25.984764099121094
wall_clock_time_millis_testing
26.984453201293945
wall_clock_time_millis_testing
26.964902877807617
wall_clock_time_millis_testing
23.9870548248291
wall_clock_time_millis_training
1707.021713256836
wall_clock_time_millis_training
1676.0401725769043
wall_clock_time_millis_training
1698.0271339416504
wall_clock_time_millis_training
2100.7983684539795
wall_clock_time_millis_training
1691.0526752471924
wall_clock_time_millis_training
1682.034969329834
wall_clock_time_millis_training
1709.0003490447998
wall_clock_time_millis_training
1680.0568103790283
wall_clock_time_millis_training
1705.0466537475586
wall_clock_time_millis_training
1717.0147895812988
weighted_recall
0.7536715620827771 [0.812349,0.681548]
weighted_recall
0.739652870493992 [0.789346,0.678571]
weighted_recall
0.7503337783711616 [0.788136,0.703869]
weighted_recall
0.7403204272363151 [0.805085,0.660714]
weighted_recall
0.7429906542056075 [0.807506,0.66369]
weighted_recall
0.7369826435246996 [0.790557,0.671131]
weighted_recall
0.7463284379172229 [0.819613,0.65625]
weighted_recall
0.7176234979973297 [0.76,0.665676]
weighted_recall
0.7543391188251002 [0.809697,0.686478]
weighted_recall
0.739652870493992 [0.778182,0.692422]