10591352
32117
VAIBHAV JAISWAL
3954
Supervised Classification
19167
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._forest.RandomForestClassifier)(1)
8304105
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
bootstrap
true
19095
ccp_alpha
0.0
19095
class_weight
null
19095
criterion
"gini"
19095
max_depth
null
19095
max_features
"auto"
19095
max_leaf_nodes
null
19095
max_samples
null
19095
min_impurity_decrease
0.0
19095
min_samples_leaf
1
19095
min_samples_split
2
19095
min_weight_fraction_leaf
0.0
19095
n_estimators
100
19095
n_jobs
null
19095
oob_score
false
19095
random_state
0
19095
verbose
0
19095
warm_start
false
19095
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
19167
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"}}]
19167
verbose
false
19167
openml-python
Sklearn_1.0.2.
1120
MagicTelescope
https://www.openml.org/data/download/54003/MagicTelescope.arff
-1
22110310
description
https://api.openml.org/data/download/22110310/description.xml
-1
22110311
predictions
https://api.openml.org/data/download/22110311/predictions.arff
area_under_roc_curve
0.937303374094238 [0.937303,0.937303]
average_cost
0
f_measure
0.87971427712826 [0.911534,0.821043]
kappa
0.7330988475374406
kb_relative_information_score
0.5984381747598327
mean_absolute_error
0.1938406940063171
mean_prior_absolute_error
0.45597723417494307
weighted_recall
0.8815983175604627 [0.940804,0.772428]
number_of_instances
19020 [12332,6688]
precision
0.8812717731379981 [0.884029,0.876187]
predictive_accuracy
0.8815983175604627
prior_entropy
0.9355152453166837
relative_absolute_error
0.42511046490524346
root_mean_prior_squared_error
0.47747911240123586
root_mean_squared_error
0.2984864994031942
root_relative_squared_error
0.6251299620251654
total_cost
0
unweighted_recall
0.8566163204763892 [0.940804,0.772428]
area_under_roc_curve
0.9362377352264677 [0.936238,0.936238]
area_under_roc_curve
0.9409677403701511 [0.940968,0.940968]
area_under_roc_curve
0.9372645861140508 [0.937265,0.937265]
area_under_roc_curve
0.9447093324216823 [0.944709,0.944709]
area_under_roc_curve
0.9317995288994602 [0.9318,0.9318]
area_under_roc_curve
0.9419277055851963 [0.941928,0.941928]
area_under_roc_curve
0.9319031807166401 [0.931903,0.931903]
area_under_roc_curve
0.9347102658941879 [0.93471,0.93471]
area_under_roc_curve
0.943020595797919 [0.943021,0.943021]
area_under_roc_curve
0.9311248828613236 [0.931125,0.931125]
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
0.8744217412431987 [0.907807,0.812749]
f_measure
0.8845562891256868 [0.914195,0.829804]
f_measure
0.8807239145740632 [0.913619,0.820097]
f_measure
0.8917283910083251 [0.918919,0.841615]
f_measure
0.8752073952489955 [0.908878,0.813152]
f_measure
0.8837768445022833 [0.915135,0.825982]
f_measure
0.8690962623749683 [0.904836,0.803226]
f_measure
0.8794303993980745 [0.911024,0.821203]
f_measure
0.8828389860191311 [0.913112,0.827044]
f_measure
0.8751062430332724 [0.907946,0.81458]
kappa
0.7211279416113773
kappa
0.7442943365272742
kappa
0.7346209975752592
kappa
0.7607184219581956
kappa
0.7227491976501942
kappa
0.7417878793566188
kappa
0.7089412110014413
kappa
0.7326820968421994
kappa
0.7405071533552865
kappa
0.7230252226350279
kb_relative_information_score
0.5966696628057032
kb_relative_information_score
0.6056027690354968
kb_relative_information_score
0.5944194363220968
kb_relative_information_score
0.6091502512771008
kb_relative_information_score
0.594818879085826
kb_relative_information_score
0.6000801883234304
kb_relative_information_score
0.5872351126031079
kb_relative_information_score
0.5959498743943415
kb_relative_information_score
0.6095669906225082
kb_relative_information_score
0.5908912596345793
mean_absolute_error
0.19430599369085144
mean_absolute_error
0.18985278654048343
mean_absolute_error
0.1957150368033648
mean_absolute_error
0.1901472134595158
mean_absolute_error
0.19514721345951624
mean_absolute_error
0.19464773922187142
mean_absolute_error
0.1981282860147208
mean_absolute_error
0.1943007360672974
mean_absolute_error
0.18917981072555198
mean_absolute_error
0.19698212407991567
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
0.8759763966584889 [0.879848,0.868825]
precision
0.8852307781810586 [0.892664,0.871499]
precision
0.8842370953705511 [0.878085,0.895575]
precision
0.8920765658684839 [0.901013,0.875606]
precision
0.8774743640355266 [0.877644,0.877163]
precision
0.886259677720246 [0.883686,0.891003]
precision
0.8717463915672997 [0.871525,0.872154]
precision
0.8806733073636821 [0.885233,0.872269]
precision
0.8837212030589023 [0.889915,0.872305]
precision
0.8763798353578548 [0.881589,0.866779]
predictive_accuracy
0.8764458464773922
predictive_accuracy
0.8859095688748685
predictive_accuracy
0.8832807570977919
predictive_accuracy
0.8927444794952681
predictive_accuracy
0.8774973711882229
predictive_accuracy
0.8859095688748685
predictive_accuracy
0.8717139852786541
predictive_accuracy
0.8811777076761304
predictive_accuracy
0.8843322818086224
predictive_accuracy
0.8769716088328076
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
0.4262475718000898
relative_absolute_error
0.41647860534408226
relative_absolute_error
0.4291917040735312
relative_absolute_error
0.4169817909878655
relative_absolute_error
0.4279465004727269
relative_absolute_error
0.4268511824905374
relative_absolute_error
0.43448381937694863
relative_absolute_error
0.42609022473449054
relative_absolute_error
0.4148603330013109
relative_absolute_error
0.4319703528493998
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
0.29890414994063796
root_mean_squared_error
0.29467353480345826
root_mean_squared_error
0.29894618628161845
root_mean_squared_error
0.29071741277472746
root_mean_squared_error
0.30317484101938524
root_mean_squared_error
0.2947789633335032
root_mean_squared_error
0.3049905619887414
root_mean_squared_error
0.3017544213589492
root_mean_squared_error
0.2920191500857855
root_mean_squared_error
0.3045004182786314
root_relative_squared_error
0.6261760676675767
root_relative_squared_error
0.6173133270500903
root_relative_squared_error
0.6260498634959002
root_relative_squared_error
0.6088172551967104
root_relative_squared_error
0.6349054664198871
root_relative_squared_error
0.6173229103600376
root_relative_squared_error
0.6387079295961232
root_relative_squared_error
0.6319308389607323
root_relative_squared_error
0.611543339366012
root_relative_squared_error
0.6376814759503199
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
0.8505371752443249 [0.937601,0.763473]
unweighted_recall
0.864353545744815 [0.936791,0.791916]
unweighted_recall
0.8542509974214337 [0.952149,0.756353]
unweighted_recall
0.8738575569448537 [0.937551,0.810164]
unweighted_recall
0.8501322015282278 [0.942417,0.757848]
unweighted_recall
0.8593553948043162 [0.948905,0.769806]
unweighted_recall
0.8425947141210144 [0.940795,0.744395]
unweighted_recall
0.857073236373423 [0.938362,0.775785]
unweighted_recall
0.8618994104575591 [0.937551,0.786248]
unweighted_recall
0.852119770583978 [0.935929,0.768311]
usercpu_time_millis
6937.5
usercpu_time_millis
7000
usercpu_time_millis
8500
usercpu_time_millis
7218.75
usercpu_time_millis
7265.625
usercpu_time_millis
7453.125
usercpu_time_millis
6984.375
usercpu_time_millis
6953.125
usercpu_time_millis
6984.375
usercpu_time_millis
6890.625
usercpu_time_millis_testing
78.125
usercpu_time_millis_testing
78.125
usercpu_time_millis_testing
93.75
usercpu_time_millis_testing
78.125
usercpu_time_millis_testing
93.75
usercpu_time_millis_testing
62.5
usercpu_time_millis_testing
78.125
usercpu_time_millis_testing
78.125
usercpu_time_millis_testing
62.5
usercpu_time_millis_testing
62.5
usercpu_time_millis_training
6859.375
usercpu_time_millis_training
6921.875
usercpu_time_millis_training
8406.25
usercpu_time_millis_training
7140.625
usercpu_time_millis_training
7171.875
usercpu_time_millis_training
7390.625
usercpu_time_millis_training
6906.25
usercpu_time_millis_training
6875
usercpu_time_millis_training
6921.875
usercpu_time_millis_training
6828.125
wall_clock_time_millis
6997.007608413696
wall_clock_time_millis
7056.957721710205
wall_clock_time_millis
8561.089754104614
wall_clock_time_millis
7283.823013305664
wall_clock_time_millis
7313.809633255005
wall_clock_time_millis
7530.6830406188965
wall_clock_time_millis
7088.93609046936
wall_clock_time_millis
6980.000734329224
wall_clock_time_millis
7112.926483154297
wall_clock_time_millis
6999.985933303833
wall_clock_time_millis_testing
68.98355484008789
wall_clock_time_millis_testing
70.96219062805176
wall_clock_time_millis_testing
96.94504737854004
wall_clock_time_millis_testing
66.9395923614502
wall_clock_time_millis_testing
109.93647575378418
wall_clock_time_millis_testing
65.96159934997559
wall_clock_time_millis_testing
66.96224212646484
wall_clock_time_millis_testing
67.9636001586914
wall_clock_time_millis_testing
69.9625015258789
wall_clock_time_millis_testing
64.96620178222656
wall_clock_time_millis_training
6928.024053573608
wall_clock_time_millis_training
6985.995531082153
wall_clock_time_millis_training
8464.144706726074
wall_clock_time_millis_training
7216.883420944214
wall_clock_time_millis_training
7203.873157501221
wall_clock_time_millis_training
7464.721441268921
wall_clock_time_millis_training
7021.9738483428955
wall_clock_time_millis_training
6912.037134170532
wall_clock_time_millis_training
7042.963981628418
wall_clock_time_millis_training
6935.019731521606
weighted_recall
0.8764458464773922 [0.937601,0.763473]
weighted_recall
0.8859095688748686 [0.936791,0.791916]
weighted_recall
0.8832807570977917 [0.952149,0.756353]
weighted_recall
0.8927444794952681 [0.937551,0.810164]
weighted_recall
0.8774973711882229 [0.942417,0.757848]
weighted_recall
0.8859095688748686 [0.948905,0.769806]
weighted_recall
0.8717139852786541 [0.940795,0.744395]
weighted_recall
0.8811777076761304 [0.938362,0.775785]
weighted_recall
0.8843322818086226 [0.937551,0.786248]
weighted_recall
0.8769716088328076 [0.935929,0.768311]