10590896
32117
VAIBHAV JAISWAL
3954
Supervised Classification
19170
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._gb.GradientBoostingClassifier)(1)
8304380
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
19170
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"}}]
19170
verbose
false
19170
ccp_alpha
0.0
19171
criterion
"friedman_mse"
19171
init
null
19171
learning_rate
0.1
19171
loss
"deviance"
19171
max_depth
3
19171
max_features
null
19171
max_leaf_nodes
null
19171
min_impurity_decrease
0.0
19171
min_samples_leaf
1
19171
min_samples_split
2
19171
min_weight_fraction_leaf
0.0
19171
n_estimators
100
19171
n_iter_no_change
null
19171
random_state
37957
19171
subsample
1.0
19171
tol
0.0001
19171
validation_fraction
0.1
19171
verbose
0
19171
warm_start
false
19171
openml-python
Sklearn_1.0.2.
1120
MagicTelescope
https://www.openml.org/data/download/54003/MagicTelescope.arff
-1
22109388
description
https://api.openml.org/data/download/22109388/description.xml
-1
22109389
predictions
https://api.openml.org/data/download/22109389/predictions.arff
area_under_roc_curve
0.9242798571654715 [0.92428,0.92428]
average_cost
0
f_measure
0.8687028363766075 [0.905784,0.800328]
kappa
0.707407294438868
kb_relative_information_score
0.5666610060986164
mean_absolute_error
0.21023858006694454
mean_prior_absolute_error
0.45597723417494307
weighted_recall
0.8719768664563617 [0.949157,0.729665]
number_of_instances
19020 [12332,6688]
precision
0.8732151151998723 [0.866203,0.886145]
predictive_accuracy
0.8719768664563616
prior_entropy
0.9355152453166837
relative_absolute_error
0.46107253676240134
root_mean_prior_squared_error
0.47747911240123586
root_mean_squared_error
0.3102883163941395
root_relative_squared_error
0.6498468903355874
total_cost
0
unweighted_recall
0.8394108686779018 [0.949157,0.729665]
area_under_roc_curve
0.9312008074612526 [0.931201,0.931201]
area_under_roc_curve
0.9338090431778259 [0.933809,0.933809]
area_under_roc_curve
0.9255010140905856 [0.925501,0.925501]
area_under_roc_curve
0.925323411854131 [0.925323,0.925323]
area_under_roc_curve
0.921775004030904 [0.921775,0.921775]
area_under_roc_curve
0.9290785171607404 [0.929079,0.929079]
area_under_roc_curve
0.9132313060007734 [0.913231,0.913231]
area_under_roc_curve
0.9234904112976844 [0.92349,0.92349]
area_under_roc_curve
0.9295785917173107 [0.929579,0.929579]
area_under_roc_curve
0.9105545432834229 [0.910555,0.910555]
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
0.8739489323645727 [0.909373,0.808511]
f_measure
0.8754329102594214 [0.908663,0.814046]
f_measure
0.8637168184509333 [0.904726,0.788136]
f_measure
0.8692848461035165 [0.904613,0.804173]
f_measure
0.86751781060607 [0.905588,0.797353]
f_measure
0.8661472957603679 [0.905109,0.794338]
f_measure
0.8606517478354799 [0.901344,0.785655]
f_measure
0.8687732313338223 [0.905206,0.801626]
f_measure
0.872947782860659 [0.908456,0.807504]
f_measure
0.8682023727076496 [0.904854,0.800651]
kappa
0.7190404646171327
kappa
0.7233058990563457
kappa
0.6953176961788804
kappa
0.7095576224789815
kappa
0.7045081858061965
kappa
0.7012412193176919
kappa
0.6889225752501975
kappa
0.7079080235794372
kappa
0.7170830954010687
kappa
0.7066067779066386
kb_relative_information_score
0.5754067674036066
kb_relative_information_score
0.5781437521768897
kb_relative_information_score
0.5642957128798906
kb_relative_information_score
0.5714618595565741
kb_relative_information_score
0.5664884377831655
kb_relative_information_score
0.5658086057233512
kb_relative_information_score
0.5498200354315791
kb_relative_information_score
0.5606566997440621
kb_relative_information_score
0.5765027856861089
kb_relative_information_score
0.5580354381243543
mean_absolute_error
0.20675874547330964
mean_absolute_error
0.20515201257988874
mean_absolute_error
0.21132373663306317
mean_absolute_error
0.20802716048268424
mean_absolute_error
0.21048386332735597
mean_absolute_error
0.21116538654964137
mean_absolute_error
0.21731584075556926
mean_absolute_error
0.2119726918259969
mean_absolute_error
0.20634384697570066
mean_absolute_error
0.21384251606624133
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
0.8782169101651133 [0.87092,0.891697]
precision
0.8771379881588773 [0.88003,0.871795]
precision
0.8732643148574415 [0.853343,0.90998]
precision
0.871475843694622 [0.873208,0.868284]
precision
0.8732155090372964 [0.862702,0.892593]
precision
0.8727846825265055 [0.859854,0.896617]
precision
0.8672903164343785 [0.855685,0.888679]
precision
0.8722836948230211 [0.868755,0.878788]
precision
0.876983403246782 [0.870632,0.888689]
precision
0.8717879020705209 [0.868107,0.878571]
predictive_accuracy
0.8769716088328076
predictive_accuracy
0.8774973711882229
predictive_accuracy
0.8685594111461619
predictive_accuracy
0.8717139852786541
predictive_accuracy
0.8711882229232387
predictive_accuracy
0.8701366982124079
predictive_accuracy
0.8648790746582544
predictive_accuracy
0.8717139852786541
predictive_accuracy
0.8759200841219769
predictive_accuracy
0.8711882229232387
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
0.45356507811411134
relative_absolute_error
0.45004040045830196
relative_absolute_error
0.4634206758873377
relative_absolute_error
0.4561914759306129
relative_absolute_error
0.46157888252710394
relative_absolute_error
0.46307342335501306
relative_absolute_error
0.47656101206860035
relative_absolute_error
0.4648437969191797
relative_absolute_error
0.4525000672154096
relative_absolute_error
0.4689442128355856
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
0.3049364101628999
root_mean_squared_error
0.3028010420301875
root_mean_squared_error
0.3117548862962802
root_mean_squared_error
0.3079354921227221
root_mean_squared_error
0.31088032764082474
root_mean_squared_error
0.309561658839432
root_mean_squared_error
0.31955485520060534
root_mean_squared_error
0.3136285975591294
root_mean_squared_error
0.30454259067770284
root_mean_squared_error
0.31685791801321345
root_relative_squared_error
0.6388130852060542
root_relative_squared_error
0.6343396899031449
root_relative_squared_error
0.652873704252928
root_relative_squared_error
0.6448751703671652
root_relative_squared_error
0.651042212994661
root_relative_squared_error
0.6482806710817948
root_relative_squared_error
0.6692083146005742
root_relative_squared_error
0.6567976100733304
root_relative_squared_error
0.6377697929314139
root_relative_squared_error
0.6635604179706663
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
0.8454492958976698 [0.951378,0.739521]
unweighted_recall
0.8513475480157998 [0.939222,0.763473]
unweighted_recall
0.8288799421004587 [0.962693,0.695067]
unweighted_recall
0.8436203215752167 [0.938362,0.748879]
unweighted_recall
0.8367192926945473 [0.95296,0.720478]
unweighted_recall
0.834198916929433 [0.955393,0.713004]
unweighted_recall
0.8280925519804772 [0.952149,0.704036]
unweighted_recall
0.8408853683640106 [0.94485,0.736921]
unweighted_recall
0.8448132266992534 [0.949716,0.73991]
unweighted_recall
0.8401379842085548 [0.94485,0.735426]
usercpu_time_millis
6953.125
usercpu_time_millis
6828.125
usercpu_time_millis
6734.375
usercpu_time_millis
6750
usercpu_time_millis
6875
usercpu_time_millis
6828.125
usercpu_time_millis
7515.625
usercpu_time_millis
6718.75
usercpu_time_millis
7328.125
usercpu_time_millis
8234.375
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
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_training
6937.5
usercpu_time_millis_training
6828.125
usercpu_time_millis_training
6734.375
usercpu_time_millis_training
6750
usercpu_time_millis_training
6875
usercpu_time_millis_training
6812.5
usercpu_time_millis_training
7500
usercpu_time_millis_training
6703.125
usercpu_time_millis_training
7312.5
usercpu_time_millis_training
8218.75
wall_clock_time_millis
7040.940999984741
wall_clock_time_millis
6947.038173675537
wall_clock_time_millis
6808.075428009033
wall_clock_time_millis
6839.078664779663
wall_clock_time_millis
7081.940412521362
wall_clock_time_millis
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wall_clock_time_millis
8307.259559631348
wall_clock_time_millis
6831.0840129852295
wall_clock_time_millis
7405.057430267334
wall_clock_time_millis
12259.148359298706
wall_clock_time_millis_testing
5.9947967529296875
wall_clock_time_millis_testing
5.995035171508789
wall_clock_time_millis_testing
5.994558334350586
wall_clock_time_millis_testing
7.974386215209961
wall_clock_time_millis_testing
6.999492645263672
wall_clock_time_millis_testing
10.01739501953125
wall_clock_time_millis_testing
6.014823913574219
wall_clock_time_millis_testing
5.994558334350586
wall_clock_time_millis_testing
7.994651794433594
wall_clock_time_millis_testing
7.997751235961914
wall_clock_time_millis_training
7034.9462032318115
wall_clock_time_millis_training
6941.043138504028
wall_clock_time_millis_training
6802.080869674683
wall_clock_time_millis_training
6831.104278564453
wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
6825.089454650879
wall_clock_time_millis_training
7397.0627784729
wall_clock_time_millis_training
12251.150608062744
weighted_recall
0.8769716088328076 [0.951378,0.739521]
weighted_recall
0.8774973711882229 [0.939222,0.763473]
weighted_recall
0.868559411146162 [0.962693,0.695067]
weighted_recall
0.8717139852786541 [0.938362,0.748879]
weighted_recall
0.8711882229232387 [0.95296,0.720478]
weighted_recall
0.870136698212408 [0.955393,0.713004]
weighted_recall
0.8648790746582544 [0.952149,0.704036]
weighted_recall
0.8717139852786541 [0.94485,0.736921]
weighted_recall
0.8759200841219769 [0.949716,0.73991]
weighted_recall
0.8711882229232387 [0.94485,0.735426]