10591559
32117
VAIBHAV JAISWAL
34539
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)
8304108
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
0
19173
verbose
0
19173
warm_start
false
19173
openml-python
Sklearn_1.0.2.
4135
Amazon_employee_access
https://www.openml.org/data/download/1681098/phpmPOD5A
-1
22110724
description
https://api.openml.org/data/download/22110724/description.xml
-1
22110725
predictions
https://api.openml.org/data/download/22110725/predictions.arff
area_under_roc_curve
0.8032511816437158 [0.803251,0.803251]
average_cost
0
f_measure
0.9415041485493042 [0.466276,0.970706]
kappa
0.43737289858618444
kb_relative_information_score
-0.04814918340581267
mean_absolute_error
0.07189020110470133
mean_prior_absolute_error
0.10910149339756714
weighted_recall
0.9444597027678598 [0.419083,0.976743]
number_of_instances
32769 [1897,30872]
precision
0.9393118524160816 [0.525446,0.964743]
predictive_accuracy
0.9444597027678598
prior_entropy
0.3190117574285477
relative_absolute_error
0.6589295789264092
root_mean_prior_squared_error
0.23353547592409915
root_mean_squared_error
0.21619848147671727
root_relative_squared_error
0.9257629087025027
total_cost
0
unweighted_recall
0.6979127208534144 [0.419083,0.976743]
area_under_roc_curve
0.8081222414123967 [0.808122,0.808122]
area_under_roc_curve
0.8133284329851688 [0.813328,0.813328]
area_under_roc_curve
0.7887056075563056 [0.788706,0.788706]
area_under_roc_curve
0.803386868531874 [0.803387,0.803387]
area_under_roc_curve
0.8110633727175081 [0.811063,0.811063]
area_under_roc_curve
0.8079160486249637 [0.807916,0.807916]
area_under_roc_curve
0.8078248341943294 [0.807825,0.807825]
area_under_roc_curve
0.7726791468467086 [0.772679,0.772679]
area_under_roc_curve
0.8104802823384993 [0.81048,0.81048]
area_under_roc_curve
0.8090036216048526 [0.809004,0.809004]
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
0.939545213854229 [0.44898,0.96957]
f_measure
0.9441704953048781 [0.486647,0.972173]
f_measure
0.9390404776337681 [0.451429,0.969052]
f_measure
0.9416031670145105 [0.457317,0.97141]
f_measure
0.9453182937519278 [0.504348,0.972459]
f_measure
0.9401394895956185 [0.451039,0.970243]
f_measure
0.9422593112053586 [0.463415,0.971731]
f_measure
0.939316774592033 [0.459384,0.968856]
f_measure
0.9405522334326822 [0.455621,0.970399]
f_measure
0.943056001883479 [0.48415,0.971152]
kappa
0.4188838608405526
kappa
0.4592538188963233
kappa
0.42072089490401904
kappa
0.4294827154504621
kappa
0.47710618523512505
kappa
0.42179174030438166
kappa
0.4358930220184348
kappa
0.4283763350382181
kappa
0.42650177955574853
kappa
0.4555451567618152
kb_relative_information_score
-0.12323095480610113
kb_relative_information_score
-0.01046535264517894
kb_relative_information_score
-0.10775790144272605
kb_relative_information_score
-0.03138229876011309
kb_relative_information_score
-0.01016079889605656
kb_relative_information_score
-0.01918021063678769
kb_relative_information_score
0.011065599454730242
kb_relative_information_score
-0.11363723571501996
kb_relative_information_score
-0.07551624266992917
kb_relative_information_score
-0.0011857994032832774
mean_absolute_error
0.07602685382972262
mean_absolute_error
0.06932560268538326
mean_absolute_error
0.07450717119316481
mean_absolute_error
0.07110466890448613
mean_absolute_error
0.06958498626792826
mean_absolute_error
0.07093683246872162
mean_absolute_error
0.0694140982606045
mean_absolute_error
0.07523954836740937
mean_absolute_error
0.07246566981995747
mean_absolute_error
0.07029609279609297
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
0.9373680815777026 [0.5,0.964137]
precision
0.9420562287452326 [0.554054,0.965804]
precision
0.9371012618057492 [0.49375,0.964389]
precision
0.9390192050267441 [0.543478,0.963364]
precision
0.9434848549925243 [0.56129,0.967008]
precision
0.9376861234978059 [0.517007,0.963578]
precision
0.9397394509251027 [0.550725,0.963683]
precision
0.9377760534025082 [0.491018,0.965273]
precision
0.9381654348107541 [0.52027,0.963886]
precision
0.9412469325641921 [0.531646,0.966325]
predictive_accuracy
0.942325297528227
predictive_accuracy
0.9472078120231919
predictive_accuracy
0.9414098260604211
predictive_accuracy
0.9456820262435154
predictive_accuracy
0.9478181263350625
predictive_accuracy
0.9435459261519682
predictive_accuracy
0.946292340555386
predictive_accuracy
0.9411046689044857
predictive_accuracy
0.9438510833079036
predictive_accuracy
0.9453601953601953
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
0.6980636354876733
relative_absolute_error
0.6365340640205893
relative_absolute_error
0.6824196238531911
relative_absolute_error
0.6512557198313895
relative_absolute_error
0.6373367743579746
relative_absolute_error
0.6497184868975779
relative_absolute_error
0.6357715917344584
relative_absolute_error
0.6891275493825458
relative_absolute_error
0.663721281440109
relative_absolute_error
0.6453526775800243
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
0.22095639205395892
root_mean_squared_error
0.21235330789181744
root_mean_squared_error
0.22157080632484313
root_mean_squared_error
0.2132159983371388
root_mean_squared_error
0.21085762941862093
root_mean_squared_error
0.2163684794262513
root_mean_squared_error
0.21444487310461538
root_mean_squared_error
0.2232460884097079
root_mean_squared_error
0.21466006651503813
root_mean_squared_error
0.21393123916710996
root_relative_squared_error
0.9477924145096824
root_relative_squared_error
0.9108894861333229
root_relative_squared_error
0.948077519037341
root_relative_squared_error
0.9123281991679935
root_relative_squared_error
0.9022369936056274
root_relative_squared_error
0.925817324831038
root_relative_squared_error
0.9175864214044044
root_relative_squared_error
0.9552458699092412
root_relative_squared_error
0.9185072107360445
root_relative_squared_error
0.9175266370257955
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
0.6912360871233928 [0.407407,0.975065]
unweighted_recall
0.7062446884338076 [0.433862,0.978627]
unweighted_recall
0.6947752033144085 [0.415789,0.973761]
unweighted_recall
0.6871643394199785 [0.394737,0.979592]
unweighted_recall
0.7179334390397762 [0.457895,0.977972]
unweighted_recall
0.6885001619695497 [0.4,0.977]
unweighted_recall
0.6899578879170716 [0.4,0.979916]
unweighted_recall
0.7020220619576152 [0.431579,0.972465]
unweighted_recall
0.6911317409169181 [0.405263,0.977]
unweighted_recall
0.7102364755425981 [0.444444,0.976029]
usercpu_time_millis
3343.75
usercpu_time_millis
3390.625
usercpu_time_millis
3187.5
usercpu_time_millis
3078.125
usercpu_time_millis
3156.25
usercpu_time_millis
3156.25
usercpu_time_millis
3265.625
usercpu_time_millis
3218.75
usercpu_time_millis
3218.75
usercpu_time_millis
3281.25
usercpu_time_millis_testing
140.625
usercpu_time_millis_testing
140.625
usercpu_time_millis_testing
140.625
usercpu_time_millis_testing
140.625
usercpu_time_millis_testing
140.625
usercpu_time_millis_testing
140.625
usercpu_time_millis_testing
140.625
usercpu_time_millis_testing
140.625
usercpu_time_millis_testing
140.625
usercpu_time_millis_testing
140.625
usercpu_time_millis_training
3203.125
usercpu_time_millis_training
3250
usercpu_time_millis_training
3046.875
usercpu_time_millis_training
2937.5
usercpu_time_millis_training
3015.625
usercpu_time_millis_training
3015.625
usercpu_time_millis_training
3125
usercpu_time_millis_training
3078.125
usercpu_time_millis_training
3078.125
usercpu_time_millis_training
3140.625
wall_clock_time_millis
3393.0304050445557
wall_clock_time_millis
3393.073081970215
wall_clock_time_millis
3263.124465942383
wall_clock_time_millis
3135.199785232544
wall_clock_time_millis
3198.1470584869385
wall_clock_time_millis
3180.1583766937256
wall_clock_time_millis
3290.090560913086
wall_clock_time_millis
3215.1598930358887
wall_clock_time_millis
3242.1438694000244
wall_clock_time_millis
3285.1178646087646
wall_clock_time_millis_testing
141.91865921020508
wall_clock_time_millis_testing
138.94033432006836
wall_clock_time_millis_testing
148.9124298095703
wall_clock_time_millis_testing
143.91446113586426
wall_clock_time_millis_testing
145.89858055114746
wall_clock_time_millis_testing
137.9227638244629
wall_clock_time_millis_testing
148.89264106750488
wall_clock_time_millis_testing
143.91756057739258
wall_clock_time_millis_testing
141.89887046813965
wall_clock_time_millis_testing
138.92245292663574
wall_clock_time_millis_training
3251.1117458343506
wall_clock_time_millis_training
3254.1327476501465
wall_clock_time_millis_training
3114.2120361328125
wall_clock_time_millis_training
2991.2853240966797
wall_clock_time_millis_training
3052.248477935791
wall_clock_time_millis_training
3042.2356128692627
wall_clock_time_millis_training
3141.197919845581
wall_clock_time_millis_training
3071.242332458496
wall_clock_time_millis_training
3100.2449989318848
wall_clock_time_millis_training
3146.195411682129
weighted_recall
0.942325297528227 [0.407407,0.975065]
weighted_recall
0.9472078120231919 [0.433862,0.978627]
weighted_recall
0.9414098260604211 [0.415789,0.973761]
weighted_recall
0.9456820262435154 [0.394737,0.979592]
weighted_recall
0.9478181263350626 [0.457895,0.977972]
weighted_recall
0.9435459261519683 [0.4,0.977]
weighted_recall
0.946292340555386 [0.4,0.979916]
weighted_recall
0.9411046689044859 [0.431579,0.972465]
weighted_recall
0.9438510833079036 [0.405263,0.977]
weighted_recall
0.9453601953601953 [0.444444,0.976029]