10591556
32117
VAIBHAV JAISWAL
34539
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.
4135
Amazon_employee_access
https://www.openml.org/data/download/1681098/phpmPOD5A
-1
22110718
description
https://api.openml.org/data/download/22110718/description.xml
-1
22110719
predictions
https://api.openml.org/data/download/22110719/predictions.arff
area_under_roc_curve
0.8498863486256378 [0.849886,0.849886]
average_cost
0
f_measure
0.943640822047758 [0.465736,0.973007]
kappa
0.4399167541034526
kb_relative_information_score
-0.1068801155369507
mean_absolute_error
0.07541700997894432
mean_prior_absolute_error
0.10910149339756714
weighted_recall
0.9486099667368549 [0.386927,0.983124]
number_of_instances
32769 [1897,30872]
precision
0.941199700805605 [0.584861,0.963096]
predictive_accuracy
0.9486099667368549
prior_entropy
0.3190117574285477
relative_absolute_error
0.6912555239195842
root_mean_prior_squared_error
0.23353547592409915
root_mean_squared_error
0.20227916463979226
root_relative_squared_error
0.8661603289152291
total_cost
0
unweighted_recall
0.6850252963483621 [0.386927,0.983124]
area_under_roc_curve
0.8641772555308824 [0.864177,0.864177]
area_under_roc_curve
0.8380580571318913 [0.838058,0.838058]
area_under_roc_curve
0.8383552418461119 [0.838355,0.838355]
area_under_roc_curve
0.8432015412681364 [0.843202,0.843202]
area_under_roc_curve
0.8524397729016417 [0.85244,0.85244]
area_under_roc_curve
0.8651424479566263 [0.865142,0.865142]
area_under_roc_curve
0.8508882751095425 [0.850888,0.850888]
area_under_roc_curve
0.8164382043544235 [0.816438,0.816438]
area_under_roc_curve
0.8764990708062673 [0.876499,0.876499]
area_under_roc_curve
0.8545924794710024 [0.854592,0.854592]
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
0.9418044771091161 [0.44373,0.972289]
f_measure
0.9468729853159196 [0.495238,0.974515]
f_measure
0.9444155739914447 [0.476489,0.973216]
f_measure
0.944099619707932 [0.467949,0.973406]
f_measure
0.9470972721337529 [0.507645,0.974145]
f_measure
0.9404214834998121 [0.438871,0.971291]
f_measure
0.9423587724196545 [0.448052,0.972783]
f_measure
0.9401456480042757 [0.439628,0.970952]
f_measure
0.9436671193609351 [0.463023,0.97325]
f_measure
0.9454511441776824 [0.47557,0.974219]
kappa
0.4173659420922865
kappa
0.47082194577235803
kappa
0.45073232812394914
kappa
0.4426779391515311
kappa
0.48250400433930174
kappa
0.41126399242028144
kappa
0.42239101854271116
kappa
0.4115301543458825
kappa
0.43765150277393233
kappa
0.4512323020450962
kb_relative_information_score
-0.12723148753800628
kb_relative_information_score
-0.08526929892937554
kb_relative_information_score
-0.13434111655958023
kb_relative_information_score
-0.09591253168483702
kb_relative_information_score
-0.09521228258704748
kb_relative_information_score
-0.09935363790909751
kb_relative_information_score
-0.0460665044924274
kb_relative_information_score
-0.17287634699323665
kb_relative_information_score
-0.10854349312146225
kb_relative_information_score
-0.10397821783324619
mean_absolute_error
0.07742752517546565
mean_absolute_error
0.07378394873359824
mean_absolute_error
0.07618248397924958
mean_absolute_error
0.07460482148306412
mean_absolute_error
0.07382667073542913
mean_absolute_error
0.07556911809581972
mean_absolute_error
0.0730119011290818
mean_absolute_error
0.0785901739395791
mean_absolute_error
0.07627403112603029
mean_absolute_error
0.07489926739926783
mean_prior_absolute_error
0.10891106478653569
mean_prior_absolute_error
0.10891106478653569
mean_prior_absolute_error
0.10918087433135354
mean_prior_absolute_error
0.10918087433135354
mean_prior_absolute_error
0.10918087433135354
mean_prior_absolute_error
0.10918087433135354
mean_prior_absolute_error
0.10918087433135354
mean_prior_absolute_error
0.10918087433135354
mean_prior_absolute_error
0.10918087433135354
mean_prior_absolute_error
0.10892663072181365
number_of_instances
3277 [189,3088]
number_of_instances
3277 [189,3088]
number_of_instances
3277 [190,3087]
number_of_instances
3277 [190,3087]
number_of_instances
3277 [190,3087]
number_of_instances
3277 [190,3087]
number_of_instances
3277 [190,3087]
number_of_instances
3277 [190,3087]
number_of_instances
3277 [190,3087]
number_of_instances
3276 [189,3087]
precision
0.9391033807133334 [0.565574,0.961965]
precision
0.9448334743551291 [0.619048,0.964773]
precision
0.9420650003348003 [0.589147,0.963787]
precision
0.9417791382847429 [0.598361,0.962916]
precision
0.9450459383602406 [0.605839,0.965924]
precision
0.9375727986236208 [0.542636,0.961881]
precision
0.939841174755291 [0.584746,0.961697]
precision
0.937316452296815 [0.533835,0.96215]
precision
0.9412992673629584 [0.595041,0.962611]
precision
0.9433857474198926 [0.618644,0.963268]
predictive_accuracy
0.9472078120231919
predictive_accuracy
0.9514800122062863
predictive_accuracy
0.9490387549588039
predictive_accuracy
0.9493439121147391
predictive_accuracy
0.9508696978944157
predictive_accuracy
0.94537686908758
predictive_accuracy
0.9481232834909978
predictive_accuracy
0.9447665547757095
predictive_accuracy
0.9490387549588039
predictive_accuracy
0.9508547008547009
prior_entropy
0.31814512654009053
prior_entropy
0.31814512654009053
prior_entropy
0.3193730160067579
prior_entropy
0.3193730160067579
prior_entropy
0.3193730160067579
prior_entropy
0.3193730160067579
prior_entropy
0.3193730160067579
prior_entropy
0.3193730160067579
prior_entropy
0.3193730160067579
prior_entropy
0.3182159663170137
relative_absolute_error
0.710924324605793
relative_absolute_error
0.6774697215403581
relative_absolute_error
0.6977640035015932
relative_absolute_error
0.683314013923772
relative_absolute_error
0.6761868430488314
relative_absolute_error
0.6921461158707582
relative_absolute_error
0.6687242758974219
relative_absolute_error
0.7198163086793518
relative_absolute_error
0.6986024941927639
relative_absolute_error
0.6876120825820099
root_mean_prior_squared_error
0.2331274113100656
root_mean_prior_squared_error
0.2331274113100656
root_mean_prior_squared_error
0.23370536889200969
root_mean_prior_squared_error
0.23370536889200969
root_mean_prior_squared_error
0.23370536889200969
root_mean_prior_squared_error
0.23370536889200969
root_mean_prior_squared_error
0.23370536889200969
root_mean_prior_squared_error
0.23370536889200969
root_mean_prior_squared_error
0.23370536889200969
root_mean_prior_squared_error
0.23316079395861228
root_mean_squared_error
0.2040299660268661
root_mean_squared_error
0.2007824942796428
root_mean_squared_error
0.2040165047443889
root_mean_squared_error
0.20004592088015025
root_mean_squared_error
0.19785553089999913
root_mean_squared_error
0.2041967374822951
root_mean_squared_error
0.20086143442098692
root_mean_squared_error
0.20923170558476645
root_mean_squared_error
0.20049427784117763
root_mean_squared_error
0.20105027952284718
root_relative_squared_error
0.8751865123037842
root_relative_squared_error
0.8612564826733172
root_relative_squared_error
0.8729645609410908
root_relative_squared_error
0.855974861974982
root_relative_squared_error
0.8466024201242205
root_relative_squared_error
0.8737357573357678
root_relative_squared_error
0.859464356224528
root_relative_squared_error
0.8952798413520743
root_relative_squared_error
0.857893332924764
root_relative_squared_error
0.8622816731295531
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
0.673958076322066 [0.365079,0.982837]
unweighted_recall
0.6985771856238177 [0.412698,0.984456]
unweighted_recall
0.6914156138645935 [0.4,0.982831]
unweighted_recall
0.6841687552213868 [0.384211,0.984127]
unweighted_recall
0.7096746969464478 [0.436842,0.982507]
unweighted_recall
0.674654322882035 [0.368421,0.980888]
unweighted_recall
0.6736424394319132 [0.363158,0.984127]
unweighted_recall
0.6767999931802294 [0.373684,0.979916]
unweighted_recall
0.6815371762740183 [0.378947,0.984127]
unweighted_recall
0.6858330633840838 [0.386243,0.985423]
usercpu_time_millis
5390.625
usercpu_time_millis
5390.625
usercpu_time_millis
5671.875
usercpu_time_millis
5734.375
usercpu_time_millis
5312.5
usercpu_time_millis
5406.25
usercpu_time_millis
5156.25
usercpu_time_millis
5250
usercpu_time_millis
5546.875
usercpu_time_millis
5390.625
usercpu_time_millis_testing
109.375
usercpu_time_millis_testing
109.375
usercpu_time_millis_testing
125
usercpu_time_millis_testing
93.75
usercpu_time_millis_testing
109.375
usercpu_time_millis_testing
125
usercpu_time_millis_testing
109.375
usercpu_time_millis_testing
93.75
usercpu_time_millis_testing
109.375
usercpu_time_millis_testing
109.375
usercpu_time_millis_training
5281.25
usercpu_time_millis_training
5281.25
usercpu_time_millis_training
5546.875
usercpu_time_millis_training
5640.625
usercpu_time_millis_training
5203.125
usercpu_time_millis_training
5281.25
usercpu_time_millis_training
5046.875
usercpu_time_millis_training
5156.25
usercpu_time_millis_training
5437.5
usercpu_time_millis_training
5281.25
wall_clock_time_millis
5525.835037231445
wall_clock_time_millis
5478.8806438446045
wall_clock_time_millis
5801.672697067261
wall_clock_time_millis
5779.688358306885
wall_clock_time_millis
5356.92834854126
wall_clock_time_millis
5436.88702583313
wall_clock_time_millis
5225.024461746216
wall_clock_time_millis
5320.945262908936
wall_clock_time_millis
5590.792655944824
wall_clock_time_millis
5410.874366760254
wall_clock_time_millis_testing
111.9375228881836
wall_clock_time_millis_testing
104.96020317077637
wall_clock_time_millis_testing
148.91314506530762
wall_clock_time_millis_testing
106.94003105163574
wall_clock_time_millis_testing
111.93966865539551
wall_clock_time_millis_testing
112.93959617614746
wall_clock_time_millis_testing
106.95958137512207
wall_clock_time_millis_testing
106.93836212158203
wall_clock_time_millis_testing
109.9400520324707
wall_clock_time_millis_testing
108.93654823303223
wall_clock_time_millis_training
5413.897514343262
wall_clock_time_millis_training
5373.920440673828
wall_clock_time_millis_training
5652.759552001953
wall_clock_time_millis_training
5672.748327255249
wall_clock_time_millis_training
5244.988679885864
wall_clock_time_millis_training
5323.947429656982
wall_clock_time_millis_training
5118.064880371094
wall_clock_time_millis_training
5214.0069007873535
wall_clock_time_millis_training
5480.8526039123535
wall_clock_time_millis_training
5301.937818527222
weighted_recall
0.9472078120231919 [0.365079,0.982837]
weighted_recall
0.9514800122062862 [0.412698,0.984456]
weighted_recall
0.9490387549588037 [0.4,0.982831]
weighted_recall
0.9493439121147391 [0.384211,0.984127]
weighted_recall
0.9508696978944157 [0.436842,0.982507]
weighted_recall
0.9453768690875801 [0.368421,0.980888]
weighted_recall
0.9481232834909978 [0.363158,0.984127]
weighted_recall
0.9447665547757095 [0.373684,0.979916]
weighted_recall
0.9490387549588037 [0.378947,0.984127]
weighted_recall
0.9508547008547008 [0.386243,0.985423]