10591353
32117
VAIBHAV JAISWAL
3954
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)
8304106
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
0
19169
openml-python
Sklearn_1.0.2.
1120
MagicTelescope
https://www.openml.org/data/download/54003/MagicTelescope.arff
-1
22110312
description
https://api.openml.org/data/download/22110312/description.xml
-1
22110313
predictions
https://api.openml.org/data/download/22110313/predictions.arff
area_under_roc_curve
0.895466280930539 [0.895466,0.895466]
average_cost
0
f_measure
0.8383632257064122 [0.881247,0.75929]
kappa
0.6412704344388962
kb_relative_information_score
-0.1323782540926103
mean_absolute_error
0.4907197621816845
mean_prior_absolute_error
0.45597723417494307
weighted_recall
0.8409568874868559 [0.910152,0.713367]
number_of_instances
19020 [12332,6688]
precision
0.8391454370674649 [0.854121,0.811533]
predictive_accuracy
0.8409568874868559
prior_entropy
0.9355152453166837
relative_absolute_error
1.076193558368337
root_mean_prior_squared_error
0.47747911240123586
root_mean_squared_error
0.49082392741112624
root_relative_squared_error
1.0279484791340494
total_cost
0
unweighted_recall
0.8117598368968895 [0.910152,0.713367]
area_under_roc_curve
0.8958865089917408 [0.895887,0.895887]
area_under_roc_curve
0.9037488232610953 [0.903749,0.903749]
area_under_roc_curve
0.8945824650220578 [0.894582,0.894582]
area_under_roc_curve
0.8987200515955712 [0.89872,0.89872]
area_under_roc_curve
0.8889707192708731 [0.888971,0.888971]
area_under_roc_curve
0.9014525802028666 [0.901453,0.901453]
area_under_roc_curve
0.8915565593415744 [0.891557,0.891557]
area_under_roc_curve
0.8960572303507068 [0.896057,0.896057]
area_under_roc_curve
0.9004233358427984 [0.900423,0.900423]
area_under_roc_curve
0.8851046883353518 [0.885105,0.885105]
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
0.8377045016096798 [0.881594,0.756627]
f_measure
0.8430234046393968 [0.882259,0.770543]
f_measure
0.840565529254605 [0.886232,0.7564]
f_measure
0.8432675594807484 [0.882983,0.77007]
f_measure
0.8319116870342427 [0.876033,0.750594]
f_measure
0.8482098924944608 [0.889583,0.771958]
f_measure
0.8353087022622431 [0.879216,0.754386]
f_measure
0.8293872505748034 [0.874951,0.745411]
f_measure
0.8482119653395233 [0.88854,0.773885]
f_measure
0.8258180387417782 [0.870904,0.742722]
kappa
0.6391587847610508
kappa
0.6530283719588705
kappa
0.6444580470760889
kappa
0.6533772689027351
kappa
0.6272801585613026
kappa
0.6625388860258576
kappa
0.6344083605740968
kappa
0.6212181938726969
kappa
0.6631331594643238
kappa
0.6141643186022533
kb_relative_information_score
-0.13292993127311947
kb_relative_information_score
-0.13194162099744272
kb_relative_information_score
-0.1320465467866449
kb_relative_information_score
-0.13236266476713485
kb_relative_information_score
-0.1323592483279273
kb_relative_information_score
-0.1317016220776465
kb_relative_information_score
-0.13258216972549736
kb_relative_information_score
-0.13215919499491907
kb_relative_information_score
-0.1331846984902594
kb_relative_information_score
-0.13251490054839862
mean_absolute_error
0.49072971264428306
mean_absolute_error
0.49039206939279
mean_absolute_error
0.4906564081513762
mean_absolute_error
0.4907453965590563
mean_absolute_error
0.4907585477647903
mean_absolute_error
0.49055726990300863
mean_absolute_error
0.49083094198910004
mean_absolute_error
0.49069879007530504
mean_absolute_error
0.49102290600807724
mean_absolute_error
0.49080557932901514
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
0.8390180373228177 [0.851321,0.816291]
precision
0.8427449734540727 [0.866406,0.799035]
precision
0.844911156490021 [0.844853,0.845018]
precision
0.8431775186220841 [0.86413,0.80456]
precision
0.8322974119395558 [0.850917,0.79798]
precision
0.8502030304080778 [0.857143,0.837413]
precision
0.8361824856309741 [0.851177,0.808547]
precision
0.8301778152067562 [0.846737,0.799658]
precision
0.8492651829039374 [0.860837,0.827939]
precision
0.8258068550919406 [0.848462,0.784053]
predictive_accuracy
0.8406940063091483
predictive_accuracy
0.8443743427970557
predictive_accuracy
0.844900105152471
predictive_accuracy
0.844900105152471
predictive_accuracy
0.8343848580441641
predictive_accuracy
0.8512092534174553
predictive_accuracy
0.8380651945320714
predictive_accuracy
0.8322818086225027
predictive_accuracy
0.85068349106204
predictive_accuracy
0.8280757097791798
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
1.0765100162457317
relative_absolute_error
1.0757693308281084
relative_absolute_error
1.075980994452986
relative_absolute_error
1.0761761408605326
relative_absolute_error
1.0762049806905822
relative_absolute_error
1.0757635900345481
relative_absolute_error
1.0763637370181698
relative_absolute_error
1.0760739355496438
relative_absolute_error
1.0767847029580961
relative_absolute_error
1.076308118178251
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
0.49083075067897736
root_mean_squared_error
0.4905099343161709
root_mean_squared_error
0.49076269646245774
root_mean_squared_error
0.4908487940189891
root_mean_squared_error
0.4908638566679285
root_mean_squared_error
0.4906571286821452
root_mean_squared_error
0.4909361042626859
root_mean_squared_error
0.49079959051189115
root_mean_squared_error
0.4911162456595723
root_mean_squared_error
0.49091392923131766
root_relative_squared_error
1.0282442361925235
root_relative_squared_error
1.0275721561008104
root_relative_squared_error
1.0277499203143146
root_relative_squared_error
1.0279302248841242
root_relative_squared_error
1.0279617689202925
root_relative_squared_error
1.02752884141287
root_relative_squared_error
1.0281130690502536
root_relative_squared_error
1.0278271834328006
root_relative_squared_error
1.0284903192113393
root_relative_squared_error
1.028066630339883
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
0.8095951532914722 [0.9141,0.70509]
unweighted_recall
0.8213576898067722 [0.898703,0.744012]
unweighted_recall
0.8082386828581716 [0.931873,0.684604]
unweighted_recall
0.8205459723085987 [0.902676,0.738416]
unweighted_recall
0.8055982891994806 [0.902676,0.70852]
unweighted_recall
0.8202841150862492 [0.924574,0.715994]
unweighted_recall
0.8080950250764659 [0.909165,0.707025]
unweighted_recall
0.8015831451234547 [0.905109,0.698057]
unweighted_recall
0.8222716841419994 [0.918086,0.726457]
unweighted_recall
0.8000483708480173 [0.894566,0.705531]
usercpu_time_millis
2734.375
usercpu_time_millis
2578.125
usercpu_time_millis
2593.75
usercpu_time_millis
2578.125
usercpu_time_millis
2625
usercpu_time_millis
2531.25
usercpu_time_millis
2625
usercpu_time_millis
2609.375
usercpu_time_millis
2578.125
usercpu_time_millis
2578.125
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
31.25
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
46.875
usercpu_time_millis_testing
31.25
usercpu_time_millis_testing
31.25
usercpu_time_millis_testing
15.625
usercpu_time_millis_training
2718.75
usercpu_time_millis_training
2546.875
usercpu_time_millis_training
2562.5
usercpu_time_millis_training
2562.5
usercpu_time_millis_training
2593.75
usercpu_time_millis_training
2500
usercpu_time_millis_training
2578.125
usercpu_time_millis_training
2578.125
usercpu_time_millis_training
2546.875
usercpu_time_millis_training
2562.5
wall_clock_time_millis
2776.4103412628174
wall_clock_time_millis
2587.5208377838135
wall_clock_time_millis
2589.5156860351562
wall_clock_time_millis
2578.5019397735596
wall_clock_time_millis
2635.4918479919434
wall_clock_time_millis
2577.5227546691895
wall_clock_time_millis
2636.4848613739014
wall_clock_time_millis
2633.491039276123
wall_clock_time_millis
2603.4862995147705
wall_clock_time_millis
2583.5394859313965
wall_clock_time_millis_testing
25.985240936279297
wall_clock_time_millis_testing
25.99024772644043
wall_clock_time_millis_testing
31.981229782104492
wall_clock_time_millis_testing
25.982141494750977
wall_clock_time_millis_testing
26.96514129638672
wall_clock_time_millis_testing
26.984691619873047
wall_clock_time_millis_testing
39.97611999511719
wall_clock_time_millis_testing
25.98404884338379
wall_clock_time_millis_testing
26.985883712768555
wall_clock_time_millis_testing
27.00352668762207
wall_clock_time_millis_training
2750.425100326538
wall_clock_time_millis_training
2561.530590057373
wall_clock_time_millis_training
2557.5344562530518
wall_clock_time_millis_training
2552.5197982788086
wall_clock_time_millis_training
2608.5267066955566
wall_clock_time_millis_training
2550.5380630493164
wall_clock_time_millis_training
2596.508741378784
wall_clock_time_millis_training
2607.5069904327393
wall_clock_time_millis_training
2576.500415802002
wall_clock_time_millis_training
2556.5359592437744
weighted_recall
0.8406940063091483 [0.9141,0.70509]
weighted_recall
0.8443743427970557 [0.898703,0.744012]
weighted_recall
0.844900105152471 [0.931873,0.684604]
weighted_recall
0.844900105152471 [0.902676,0.738416]
weighted_recall
0.8343848580441641 [0.902676,0.70852]
weighted_recall
0.8512092534174553 [0.924574,0.715994]
weighted_recall
0.8380651945320715 [0.909165,0.707025]
weighted_recall
0.8322818086225027 [0.905109,0.698057]
weighted_recall
0.85068349106204 [0.918086,0.726457]
weighted_recall
0.8280757097791798 [0.894566,0.705531]