10590909
32117
VAIBHAV JAISWAL
3954
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)
8304381
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
20350
19173
verbose
0
19173
warm_start
false
19173
openml-python
Sklearn_1.0.2.
1120
MagicTelescope
https://www.openml.org/data/download/54003/MagicTelescope.arff
-1
22109414
description
https://api.openml.org/data/download/22109414/description.xml
-1
22109415
predictions
https://api.openml.org/data/download/22109415/predictions.arff
area_under_roc_curve
0.9364097610643022 [0.93641,0.93641]
average_cost
0
f_measure
0.8746744768584732 [0.909508,0.810446]
kappa
0.7209892425546008
kb_relative_information_score
0.5767610826238974
mean_absolute_error
0.20488433228181624
mean_prior_absolute_error
0.45597723417494307
weighted_recall
0.8774973711882229 [0.949481,0.744767]
number_of_instances
19020 [12332,6688]
precision
0.8784129889158271 [0.872764,0.888829]
predictive_accuracy
0.8774973711882229
prior_entropy
0.9355152453166837
relative_absolute_error
0.4493301790659334
root_mean_prior_squared_error
0.47747911240123586
root_mean_squared_error
0.30280540717793286
root_relative_squared_error
0.6341751907326976
total_cost
0
unweighted_recall
0.8471238856935781 [0.949481,0.744767]
area_under_roc_curve
0.9358185978124789 [0.935819,0.935819]
area_under_roc_curve
0.9414408621978086 [0.941441,0.941441]
area_under_roc_curve
0.9382483691507946 [0.938248,0.938248]
area_under_roc_curve
0.942337463646095 [0.942337,0.942337]
area_under_roc_curve
0.9303981078391083 [0.930398,0.930398]
area_under_roc_curve
0.9437807091239058 [0.943781,0.943781]
area_under_roc_curve
0.9299077316981804 [0.929908,0.929908]
area_under_roc_curve
0.9331379102581354 [0.933138,0.933138]
area_under_roc_curve
0.9419252809812857 [0.941925,0.941925]
area_under_roc_curve
0.9280535158575157 [0.928054,0.928054]
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
0.8759759576019199 [0.91106,0.811166]
f_measure
0.8812307394351411 [0.913078,0.8224]
f_measure
0.8704826060191415 [0.908183,0.800999]
f_measure
0.8807315262638908 [0.912583,0.822027]
f_measure
0.8765587101356894 [0.911343,0.812449]
f_measure
0.8848498469112176 [0.916925,0.825733]
f_measure
0.8646997215897732 [0.902826,0.794431]
f_measure
0.8671264737093445 [0.904078,0.799024]
f_measure
0.8793769847020095 [0.912144,0.818986]
f_measure
0.8654787931205814 [0.90295,0.796417]
kappa
0.7234479427702998
kappa
0.7360889228899938
kappa
0.7109176170725844
kappa
0.7352089568451767
kappa
0.7249858880667976
kappa
0.7436389677234062
kappa
0.6985653183614248
kappa
0.7042117311956724
kappa
0.7318901322788116
kappa
0.7005128127609885
kb_relative_information_score
0.5786669570220084
kb_relative_information_score
0.5869033036112975
kb_relative_information_score
0.5743620968991544
kb_relative_information_score
0.584317739346662
kb_relative_information_score
0.576556857333353
kb_relative_information_score
0.5809194889646285
kb_relative_information_score
0.5636009834962846
kb_relative_information_score
0.5742149068296748
kb_relative_information_score
0.5876603181517613
kb_relative_information_score
0.5604141505489728
mean_absolute_error
0.20388538380651938
mean_absolute_error
0.20023659305993674
mean_absolute_error
0.20635120925341746
mean_absolute_error
0.20225552050473158
mean_absolute_error
0.2052944269190326
mean_absolute_error
0.2042954784437436
mean_absolute_error
0.2097476340694004
mean_absolute_error
0.20464773922187188
mean_absolute_error
0.20100420609884306
mean_absolute_error
0.21112513144058856
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
0.8807422949936902 [0.871302,0.898182]
precision
0.8832729881007874 [0.883333,0.883162]
precision
0.8773220511847442 [0.862774,0.904135]
precision
0.8826965859621942 [0.883156,0.881849]
precision
0.8812427802922934 [0.871852,0.898551]
precision
0.889083198239657 [0.879375,0.906977]
precision
0.8689514088907176 [0.863704,0.878623]
precision
0.8706767449724603 [0.867362,0.876786]
precision
0.8820651647798505 [0.879518,0.88676]
precision
0.8690686198419137 [0.865972,0.874776]
predictive_accuracy
0.879074658254469
predictive_accuracy
0.8832807570977919
predictive_accuracy
0.8743427970557307
predictive_accuracy
0.8827549947423765
predictive_accuracy
0.8796004206098843
predictive_accuracy
0.8874868559411146
predictive_accuracy
0.8680336487907466
predictive_accuracy
0.8701366982124079
predictive_accuracy
0.8817034700315457
predictive_accuracy
0.8685594111461619
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
0.4472618066086453
relative_absolute_error
0.4392574822633448
relative_absolute_error
0.4525162122626718
relative_absolute_error
0.4435346048087214
relative_absolute_error
0.4501987500056193
relative_absolute_error
0.4480081140412417
relative_absolute_error
0.4599643745415565
relative_absolute_error
0.44878060146025917
relative_absolute_error
0.44079054502176374
relative_absolute_error
0.46298514623980386
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
0.30123030235657566
root_mean_squared_error
0.296717495852368
root_mean_squared_error
0.3027077243005359
root_mean_squared_error
0.2973829948671788
root_mean_squared_error
0.3053155958003236
root_mean_squared_error
0.29832629860882287
root_mean_squared_error
0.30992231311772966
root_mean_squared_error
0.30669278222819785
root_mean_squared_error
0.29702883763881277
root_mean_squared_error
0.3122610127170722
root_relative_squared_error
0.6310491380913115
root_relative_squared_error
0.6215952331137103
root_relative_squared_error
0.6339272356496279
root_relative_squared_error
0.6227762449767933
root_relative_squared_error
0.6393886118818001
root_relative_squared_error
0.6247517014495348
root_relative_squared_error
0.6490359493628322
root_relative_squared_error
0.6422727007738619
root_relative_squared_error
0.6220345727473113
root_relative_squared_error
0.6539336287182297
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
0.8470700414406196 [0.954619,0.739521]
unweighted_recall
0.8571778646920098 [0.944895,0.769461]
unweighted_recall
0.8388105135674774 [0.958637,0.718984]
unweighted_recall
0.8569223047799854 [0.944039,0.769806]
unweighted_recall
0.8479937008790401 [0.954582,0.741405]
unweighted_recall
0.8578369866052757 [0.957826,0.757848]
unweighted_recall
0.8353118101244186 [0.945661,0.724963]
unweighted_recall
0.8389850850490437 [0.944039,0.733931]
unweighted_recall
0.8540600598634706 [0.947283,0.760837]
unweighted_recall
0.8370848017340767 [0.943228,0.730942]
usercpu_time_millis
2156.25
usercpu_time_millis
2140.625
usercpu_time_millis
2093.75
usercpu_time_millis
2125
usercpu_time_millis
2187.5
usercpu_time_millis
2078.125
usercpu_time_millis
2156.25
usercpu_time_millis
2078.125
usercpu_time_millis
2250
usercpu_time_millis
2109.375
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_testing
78.125
usercpu_time_millis_testing
78.125
usercpu_time_millis_testing
93.75
usercpu_time_millis_training
2078.125
usercpu_time_millis_training
2062.5
usercpu_time_millis_training
2015.625
usercpu_time_millis_training
2046.875
usercpu_time_millis_training
2109.375
usercpu_time_millis_training
2000
usercpu_time_millis_training
2078.125
usercpu_time_millis_training
2000
usercpu_time_millis_training
2171.875
usercpu_time_millis_training
2015.625
wall_clock_time_millis
2197.7596282958984
wall_clock_time_millis
2199.761390686035
wall_clock_time_millis
2116.786003112793
wall_clock_time_millis
2152.7421474456787
wall_clock_time_millis
2254.7078132629395
wall_clock_time_millis
2130.777597427368
wall_clock_time_millis
2298.6629009246826
wall_clock_time_millis
2161.780595779419
wall_clock_time_millis
2319.6940422058105
wall_clock_time_millis
2136.7740631103516
wall_clock_time_millis_testing
82.95392990112305
wall_clock_time_millis_testing
86.97247505187988
wall_clock_time_millis_testing
85.94942092895508
wall_clock_time_millis_testing
84.92875099182129
wall_clock_time_millis_testing
81.93159103393555
wall_clock_time_millis_testing
86.94815635681152
wall_clock_time_millis_testing
88.9286994934082
wall_clock_time_millis_testing
83.97316932678223
wall_clock_time_millis_testing
86.95197105407715
wall_clock_time_millis_testing
93.9493179321289
wall_clock_time_millis_training
2114.8056983947754
wall_clock_time_millis_training
2112.7889156341553
wall_clock_time_millis_training
2030.836582183838
wall_clock_time_millis_training
2067.8133964538574
wall_clock_time_millis_training
2172.776222229004
wall_clock_time_millis_training
2043.8294410705566
wall_clock_time_millis_training
2209.7342014312744
wall_clock_time_millis_training
2077.8074264526367
wall_clock_time_millis_training
2232.7420711517334
wall_clock_time_millis_training
2042.8247451782227
weighted_recall
0.879074658254469 [0.954619,0.739521]
weighted_recall
0.8832807570977917 [0.944895,0.769461]
weighted_recall
0.8743427970557308 [0.958637,0.718984]
weighted_recall
0.8827549947423764 [0.944039,0.769806]
weighted_recall
0.8796004206098843 [0.954582,0.741405]
weighted_recall
0.8874868559411146 [0.957826,0.757848]
weighted_recall
0.8680336487907466 [0.945661,0.724963]
weighted_recall
0.870136698212408 [0.944039,0.733931]
weighted_recall
0.8817034700315457 [0.947283,0.760837]
weighted_recall
0.868559411146162 [0.943228,0.730942]