10590889
32117
VAIBHAV JAISWAL
3954
Supervised Classification
19159
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.linear_model._stochastic_gradient.SGDClassifier)(1)
8304375
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
19159
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"}}]
19159
verbose
false
19159
alpha
0.0001
19160
average
false
19160
class_weight
null
19160
early_stopping
false
19160
epsilon
0.1
19160
eta0
0.0
19160
fit_intercept
true
19160
l1_ratio
0.15
19160
learning_rate
"optimal"
19160
loss
"hinge"
19160
max_iter
1000
19160
n_iter_no_change
5
19160
n_jobs
null
19160
penalty
"l2"
19160
power_t
0.5
19160
random_state
47596
19160
shuffle
true
19160
tol
0.001
19160
validation_fraction
0.1
19160
verbose
0
19160
warm_start
false
19160
openml-python
Sklearn_1.0.2.
1120
MagicTelescope
https://www.openml.org/data/download/54003/MagicTelescope.arff
-1
22109374
description
https://api.openml.org/data/download/22109374/description.xml
-1
22109375
predictions
https://api.openml.org/data/download/22109375/predictions.arff
area_under_roc_curve
0.748283970050299 [0.748284,0.748284]
average_cost
0
f_measure
0.7831100863607421 [0.844014,0.670809]
kappa
0.5168336891949921
kb_relative_information_score
0.517393240431906
mean_absolute_error
0.21167192429022083
mean_prior_absolute_error
0.45597723417494307
weighted_recall
0.7883280757097791 [0.883231,0.613337]
number_of_instances
19020 [12332,6688]
precision
0.7842329775517853 [0.808132,0.740166]
predictive_accuracy
0.7883280757097793
prior_entropy
0.9355152453166837
relative_absolute_error
0.4642159924348536
root_mean_prior_squared_error
0.47747911240123586
root_mean_squared_error
0.46007817193409734
root_relative_squared_error
0.9635566456936107
total_cost
0
unweighted_recall
0.748283970050299 [0.883231,0.613337]
area_under_roc_curve
0.7611401993419966 [0.76114,0.76114]
area_under_roc_curve
0.7340024165607197 [0.734002,0.734002]
area_under_roc_curve
0.7448055891969348 [0.744806,0.744806]
area_under_roc_curve
0.7598641979349648 [0.759864,0.759864]
area_under_roc_curve
0.7486934415676518 [0.748693,0.748693]
area_under_roc_curve
0.7428816659938391 [0.742882,0.742882]
area_under_roc_curve
0.7172232951094527 [0.717223,0.717223]
area_under_roc_curve
0.7568510214250125 [0.756851,0.756851]
area_under_roc_curve
0.7728079459119359 [0.772808,0.772808]
area_under_roc_curve
0.7445582795980492 [0.744558,0.744558]
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
0.7927116901747395 [0.848769,0.689157]
f_measure
0.7739371431828038 [0.841784,0.648603]
f_measure
0.7828148684245769 [0.846743,0.664992]
f_measure
0.791556080869868 [0.847987,0.68755]
f_measure
0.7848414006231158 [0.846569,0.671074]
f_measure
0.7827833112416135 [0.848554,0.661565]
f_measure
0.7555185170079796 [0.825886,0.625828]
f_measure
0.7910112857898399 [0.849612,0.683007]
f_measure
0.7988067119337258 [0.849424,0.705517]
f_measure
0.7757301152709163 [0.834906,0.666667]
kappa
0.5391235963779759
kappa
0.4943090305940058
kappa
0.5149623407274799
kappa
0.5367951708568575
kappa
0.5201481780113871
kappa
0.5142435827837261
kappa
0.45465271619363706
kappa
0.5345345004408822
kappa
0.5552976884496512
kappa
0.5025165622302683
kb_relative_information_score
0.5359091804403165
kb_relative_information_score
0.5023315500845777
kb_relative_information_score
0.5205574922001214
kb_relative_information_score
0.5337421611646174
kb_relative_information_score
0.5229547047391203
kb_relative_information_score
0.5229547047391214
kb_relative_information_score
0.4582299661861336
kb_relative_information_score
0.5349407674341177
kb_relative_information_score
0.5457282238596133
kb_relative_information_score
0.49658536681012405
mean_absolute_error
0.20347003154574134
mean_absolute_error
0.2181913774973712
mean_absolute_error
0.2103049421661409
mean_absolute_error
0.20452155625657203
mean_absolute_error
0.2092534174553102
mean_absolute_error
0.2092534174553102
mean_absolute_error
0.23764458464773922
mean_absolute_error
0.20399579390115669
mean_absolute_error
0.19926393270241852
mean_absolute_error
0.22082018927444794
mean_prior_absolute_error
0.455852435405734
mean_prior_absolute_error
0.455852435405734
mean_prior_absolute_error
0.45600843386719786
mean_prior_absolute_error
0.45600843386719786
mean_prior_absolute_error
0.45600843386719786
mean_prior_absolute_error
0.45600843386719786
mean_prior_absolute_error
0.45600843386719786
mean_prior_absolute_error
0.45600843386719786
mean_prior_absolute_error
0.45600843386719786
mean_prior_absolute_error
0.45600843386719786
number_of_instances
1902 [1234,668]
number_of_instances
1902 [1234,668]
number_of_instances
1902 [1233,669]
number_of_instances
1902 [1233,669]
number_of_instances
1902 [1233,669]
number_of_instances
1902 [1233,669]
number_of_instances
1902 [1233,669]
number_of_instances
1902 [1233,669]
number_of_instances
1902 [1233,669]
number_of_instances
1902 [1233,669]
precision
0.7928879697575153 [0.819623,0.743501]
precision
0.777878392895318 [0.794816,0.746589]
precision
0.7861913107338975 [0.802469,0.75619]
precision
0.7918017253411112 [0.81825,0.743056]
precision
0.7869578883176622 [0.80676,0.750462]
precision
0.7880189206206223 [0.799283,0.767258]
precision
0.7565319576655676 [0.7865,0.701299]
precision
0.7923776136446424 [0.81366,0.753153]
precision
0.7981102728936088 [0.832555,0.734628]
precision
0.7751031111409793 [0.810069,0.71066]
predictive_accuracy
0.7965299684542586
predictive_accuracy
0.7818086225026287
predictive_accuracy
0.7896950578338591
predictive_accuracy
0.795478443743428
predictive_accuracy
0.7907465825446899
predictive_accuracy
0.7907465825446899
predictive_accuracy
0.7623554153522608
predictive_accuracy
0.7960042060988434
predictive_accuracy
0.8007360672975815
predictive_accuracy
0.7791798107255521
prior_entropy
0.9351439892378896
prior_entropy
0.9351439892378896
prior_entropy
0.9356080593363955
prior_entropy
0.9356080593363955
prior_entropy
0.9356080593363955
prior_entropy
0.9356080593363955
prior_entropy
0.9356080593363955
prior_entropy
0.9356080593363955
prior_entropy
0.9356080593363955
prior_entropy
0.9356080593363955
relative_absolute_error
0.446350651531875
relative_absolute_error
0.47864475551867736
relative_absolute_error
0.46118651881642053
relative_absolute_error
0.4485038895489689
relative_absolute_error
0.4588805862223385
relative_absolute_error
0.4588805862223385
relative_absolute_error
0.5211407662625551
relative_absolute_error
0.44735092325192793
relative_absolute_error
0.43697422657855856
relative_absolute_error
0.48424584475724153
root_mean_prior_squared_error
0.4773484094561718
root_mean_prior_squared_error
0.4773484094561718
root_mean_prior_squared_error
0.4775117825476151
root_mean_prior_squared_error
0.4775117825476151
root_mean_prior_squared_error
0.4775117825476151
root_mean_prior_squared_error
0.4775117825476151
root_mean_prior_squared_error
0.4775117825476151
root_mean_prior_squared_error
0.4775117825476151
root_mean_prior_squared_error
0.4775117825476151
root_mean_prior_squared_error
0.4775117825476151
root_mean_squared_error
0.4510765251548138
root_mean_squared_error
0.4671095990207985
root_mean_squared_error
0.45859016797805524
root_mean_squared_error
0.4522405955424303
root_mean_squared_error
0.4574422558698641
root_mean_squared_error
0.4574422558698641
root_mean_squared_error
0.48748803538932034
root_mean_squared_error
0.45165893537176555
root_mean_squared_error
0.4463898886650755
root_mean_squared_error
0.46991508730242737
root_relative_squared_error
0.9449628745358369
root_relative_squared_error
0.978550655595484
root_relative_squared_error
0.960374559830525
root_relative_squared_error
0.9470773540490282
root_relative_squared_error
0.9579706147339939
root_relative_squared_error
0.9579706147339939
root_relative_squared_error
1.0208921605839338
root_relative_squared_error
0.9458592476233366
root_relative_squared_error
0.9348248671132292
root_relative_squared_error
0.984091083146351
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
0.7611401993419967 [0.880065,0.642216]
unweighted_recall
0.7340024165607197 [0.894652,0.573353]
unweighted_recall
0.7448055891969348 [0.896188,0.593423]
unweighted_recall
0.7598641979349648 [0.879968,0.639761]
unweighted_recall
0.7486934415676519 [0.890511,0.606876]
unweighted_recall
0.7428816659938391 [0.904298,0.581465]
unweighted_recall
0.7172232951094526 [0.869424,0.565022]
unweighted_recall
0.7568510214250124 [0.888889,0.624813]
unweighted_recall
0.7728079459119359 [0.866991,0.678625]
unweighted_recall
0.7445582795980492 [0.861314,0.627803]
usercpu_time_millis
109.375
usercpu_time_millis
109.375
usercpu_time_millis
125
usercpu_time_millis
109.375
usercpu_time_millis
93.75
usercpu_time_millis
78.125
usercpu_time_millis
109.375
usercpu_time_millis
78.125
usercpu_time_millis
78.125
usercpu_time_millis
125
usercpu_time_millis_testing
15.625
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_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
93.75
usercpu_time_millis_training
109.375
usercpu_time_millis_training
125
usercpu_time_millis_training
93.75
usercpu_time_millis_training
93.75
usercpu_time_millis_training
78.125
usercpu_time_millis_training
109.375
usercpu_time_millis_training
78.125
usercpu_time_millis_training
78.125
usercpu_time_millis_training
125
wall_clock_time_millis
99.92074966430664
wall_clock_time_millis
107.93542861938477
wall_clock_time_millis
115.91124534606934
wall_clock_time_millis
95.96920013427734
wall_clock_time_millis
94.94948387145996
wall_clock_time_millis
88.95325660705566
wall_clock_time_millis
108.91890525817871
wall_clock_time_millis
81.95042610168457
wall_clock_time_millis
83.95123481750488
wall_clock_time_millis
130.92756271362305
wall_clock_time_millis_testing
3.000020980834961
wall_clock_time_millis_testing
1.9986629486083984
wall_clock_time_millis_testing
2.9985904693603516
wall_clock_time_millis_testing
2.022266387939453
wall_clock_time_millis_testing
1.9998550415039062
wall_clock_time_millis_testing
3.000020980834961
wall_clock_time_millis_testing
1.9986629486083984
wall_clock_time_millis_testing
1.9977092742919922
wall_clock_time_millis_testing
1.9993782043457031
wall_clock_time_millis_testing
4.996299743652344
wall_clock_time_millis_training
96.92072868347168
wall_clock_time_millis_training
105.93676567077637
wall_clock_time_millis_training
112.91265487670898
wall_clock_time_millis_training
93.94693374633789
wall_clock_time_millis_training
92.94962882995605
wall_clock_time_millis_training
85.9532356262207
wall_clock_time_millis_training
106.92024230957031
wall_clock_time_millis_training
79.95271682739258
wall_clock_time_millis_training
81.95185661315918
wall_clock_time_millis_training
125.9312629699707
weighted_recall
0.7965299684542587 [0.880065,0.642216]
weighted_recall
0.7818086225026288 [0.894652,0.573353]
weighted_recall
0.7896950578338591 [0.896188,0.593423]
weighted_recall
0.795478443743428 [0.879968,0.639761]
weighted_recall
0.7907465825446898 [0.890511,0.606876]
weighted_recall
0.7907465825446898 [0.904298,0.581465]
weighted_recall
0.7623554153522608 [0.869424,0.565022]
weighted_recall
0.7960042060988434 [0.888889,0.624813]
weighted_recall
0.8007360672975815 [0.866991,0.678625]
weighted_recall
0.7791798107255521 [0.861314,0.627803]