10590957
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)
8304391
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
7972
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
22109510
description
https://api.openml.org/data/download/22109510/description.xml
-1
22109511
predictions
https://api.openml.org/data/download/22109511/predictions.arff
area_under_roc_curve
0.99117233808135 [0.991172,0.991172]
average_cost
0
f_measure
0.9493347480079484 [0.955007,0.942368]
kappa
0.8974200442694962
kb_relative_information_score
0.6376669741800233
mean_absolute_error
0.2052963951935931
mean_prior_absolute_error
0.4947574918117115
weighted_recall
0.9494659546061415 [0.972993,0.920571]
number_of_instances
14980 [8257,6723]
precision
0.9500378456079817 [0.937675,0.965221]
predictive_accuracy
0.9494659546061415
prior_entropy
0.9924223735239917
relative_absolute_error
0.4149434795657873
root_mean_prior_squared_error
0.4973714869043071
root_mean_squared_error
0.253938456427679
root_relative_squared_error
0.5105609451161321
total_cost
0
unweighted_recall
0.9467818929560774 [0.972993,0.920571]
area_under_roc_curve
0.989873385794996 [0.989873,0.989873]
area_under_roc_curve
0.992388374841462 [0.992388,0.992388]
area_under_roc_curve
0.9946799694454053 [0.99468,0.99468]
area_under_roc_curve
0.9905949138129828 [0.990595,0.990595]
area_under_roc_curve
0.9914344445405282 [0.991434,0.991434]
area_under_roc_curve
0.9910101752565433 [0.99101,0.99101]
area_under_roc_curve
0.9917776432606941 [0.991778,0.991778]
area_under_roc_curve
0.9897446980953667 [0.989745,0.989745]
area_under_roc_curve
0.9906263226619839 [0.990626,0.990626]
area_under_roc_curve
0.9897609077401054 [0.989761,0.989761]
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
0.9545015102879489 [0.959524,0.948328]
f_measure
0.9578179445805405 [0.962656,0.951872]
f_measure
0.9470831372753798 [0.953282,0.939464]
f_measure
0.948433576718992 [0.954411,0.941086]
f_measure
0.9498589155763345 [0.955117,0.943396]
f_measure
0.947758451564036 [0.953846,0.940276]
f_measure
0.9458667831263798 [0.951351,0.939144]
f_measure
0.9484858209907104 [0.954085,0.941622]
f_measure
0.9504691978979359 [0.956005,0.943683]
kappa
0.8846470923964741
kappa
0.9078847419861245
kappa
0.9145746473875633
kappa
0.892819556975668
kappa
0.8955621189265931
kappa
0.898529467548396
kappa
0.89419102918431
kappa
0.8905059693007391
kappa
0.8957414768978241
kappa
0.899734620373268
kb_relative_information_score
0.6386755570732056
kb_relative_information_score
0.6422714600897216
kb_relative_information_score
0.648992001963747
kb_relative_information_score
0.6328374147037795
kb_relative_information_score
0.6354631616008368
kb_relative_information_score
0.6387720982119869
kb_relative_information_score
0.6317750329402324
kb_relative_information_score
0.6291597297466855
kb_relative_information_score
0.6412819771003849
kb_relative_information_score
0.637442328859382
mean_absolute_error
0.20425901201602134
mean_absolute_error
0.2029572763684913
mean_absolute_error
0.19996662216288405
mean_absolute_error
0.20749666221628815
mean_absolute_error
0.20686915887850502
mean_absolute_error
0.20479973297730322
mean_absolute_error
0.208311081441922
mean_absolute_error
0.20964619492656883
mean_absolute_error
0.20291054739652872
mean_absolute_error
0.20574766355140234
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
0.9550762385009426 [0.943794,0.968944]
precision
0.9587601062413006 [0.943089,0.978022]
precision
0.9482162136974531 [0.931792,0.968404]
precision
0.9494515663314688 [0.933951,0.968504]
precision
0.9500948620530533 [0.944379,0.957121]
precision
0.9488332361519218 [0.93287,0.968454]
precision
0.9459979060226198 [0.942857,0.949848]
precision
0.949000664674951 [0.938967,0.9613]
precision
0.9512220524465549 [0.938156,0.967239]
predictive_accuracy
0.9432576769025367
predictive_accuracy
0.9546061415220294
predictive_accuracy
0.9579439252336448
predictive_accuracy
0.9472630173564752
predictive_accuracy
0.9485981308411214
predictive_accuracy
0.9499332443257678
predictive_accuracy
0.9479305740987983
predictive_accuracy
0.9459279038718291
predictive_accuracy
0.9485981308411214
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
0.4128638399049071
relative_absolute_error
0.4102326728749884
relative_absolute_error
0.40418773528830343
relative_absolute_error
0.41940802456906384
relative_absolute_error
0.41813966712900164
relative_absolute_error
0.41395678620964305
relative_absolute_error
0.42105419060829447
relative_absolute_error
0.42369428760226335
relative_absolute_error
0.4100815655455625
relative_absolute_error
0.41581536819580905
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
0.25457548632507854
root_mean_squared_error
0.251162185166631
root_mean_squared_error
0.2469397476821296
root_mean_squared_error
0.2569029625680386
root_mean_squared_error
0.25450795481756705
root_mean_squared_error
0.2529277167622048
root_mean_squared_error
0.25665598842651965
root_mean_squared_error
0.25800909206612305
root_mean_squared_error
0.2533289707539012
root_mean_squared_error
0.2541940587280845
root_relative_squared_error
0.5118629527264604
root_relative_squared_error
0.5049999886809884
root_relative_squared_error
0.49651013229410934
root_relative_squared_error
0.5165426997017876
root_relative_squared_error
0.511727170301625
root_relative_squared_error
0.5085498599929821
root_relative_squared_error
0.5160461204154241
root_relative_squared_error
0.5186950833433679
root_relative_squared_error
0.5092862834648045
root_relative_squared_error
0.5110254348849154
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
0.9521791767554479 [0.975787,0.928571]
unweighted_recall
0.9550670903954803 [0.983051,0.927083]
unweighted_recall
0.9439946529459241 [0.975787,0.912202]
unweighted_recall
0.9454827481840193 [0.975787,0.915179]
unweighted_recall
0.948080609362389 [0.966102,0.93006]
unweighted_recall
0.9447387005649717 [0.975787,0.91369]
unweighted_recall
0.9443387815750371 [0.96,0.928678]
unweighted_recall
0.9462154982214418 [0.969697,0.922734]
unweighted_recall
0.9478967985951641 [0.974545,0.921248]
usercpu_time_millis
1812.5
usercpu_time_millis
2000
usercpu_time_millis
1968.75
usercpu_time_millis
1953.125
usercpu_time_millis
1890.625
usercpu_time_millis
1828.125
usercpu_time_millis
1812.5
usercpu_time_millis
1796.875
usercpu_time_millis
1781.25
usercpu_time_millis
2015.625
usercpu_time_millis_testing
78.125
usercpu_time_millis_testing
93.75
usercpu_time_millis_testing
93.75
usercpu_time_millis_testing
78.125
usercpu_time_millis_testing
78.125
usercpu_time_millis_testing
78.125
usercpu_time_millis_testing
78.125
usercpu_time_millis_testing
78.125
usercpu_time_millis_testing
78.125
usercpu_time_millis_testing
78.125
usercpu_time_millis_training
1734.375
usercpu_time_millis_training
1906.25
usercpu_time_millis_training
1875
usercpu_time_millis_training
1875
usercpu_time_millis_training
1812.5
usercpu_time_millis_training
1750
usercpu_time_millis_training
1734.375
usercpu_time_millis_training
1718.75
usercpu_time_millis_training
1703.125
usercpu_time_millis_training
1937.5
wall_clock_time_millis
1833.9481353759766
wall_clock_time_millis
2184.725522994995
wall_clock_time_millis
2126.781702041626
wall_clock_time_millis
2101.815938949585
wall_clock_time_millis
2211.709976196289
wall_clock_time_millis
1827.9528617858887
wall_clock_time_millis
1821.9552040100098
wall_clock_time_millis
1787.9951000213623
wall_clock_time_millis
1806.9636821746826
wall_clock_time_millis
2023.8595008850098
wall_clock_time_millis_testing
82.95750617980957
wall_clock_time_millis_testing
79.95295524597168
wall_clock_time_millis_testing
175.89735984802246
wall_clock_time_millis_testing
77.97598838806152
wall_clock_time_millis_testing
76.95508003234863
wall_clock_time_millis_testing
79.95414733886719
wall_clock_time_millis_testing
75.95562934875488
wall_clock_time_millis_testing
73.9593505859375
wall_clock_time_millis_testing
73.95291328430176
wall_clock_time_millis_testing
72.98064231872559
wall_clock_time_millis_training
1750.990629196167
wall_clock_time_millis_training
2104.7725677490234
wall_clock_time_millis_training
1950.8843421936035
wall_clock_time_millis_training
2023.8399505615234
wall_clock_time_millis_training
2134.7548961639404
wall_clock_time_millis_training
1747.9987144470215
wall_clock_time_millis_training
1745.9995746612549
wall_clock_time_millis_training
1714.0357494354248
wall_clock_time_millis_training
1733.0107688903809
wall_clock_time_millis_training
1950.8788585662842
weighted_recall
0.9432576769025367 [0.973366,0.90625]
weighted_recall
0.9546061415220294 [0.975787,0.928571]
weighted_recall
0.9579439252336449 [0.983051,0.927083]
weighted_recall
0.9472630173564753 [0.975787,0.912202]
weighted_recall
0.9485981308411215 [0.975787,0.915179]
weighted_recall
0.9499332443257676 [0.966102,0.93006]
weighted_recall
0.9479305740987984 [0.975787,0.91369]
weighted_recall
0.9459279038718291 [0.96,0.928678]
weighted_recall
0.9485981308411215 [0.969697,0.922734]
weighted_recall
0.9506008010680908 [0.974545,0.921248]