10591053
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)
8304411
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
229
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
22109702
description
https://api.openml.org/data/download/22109702/description.xml
-1
22109703
predictions
https://api.openml.org/data/download/22109703/predictions.arff
area_under_roc_curve
0.8082183728539614 [0.808218,0.808218]
average_cost
0
f_measure
0.9409550869128533 [0.460951,0.97045]
kappa
0.43180547605186337
kb_relative_information_score
-0.04978052265131523
mean_absolute_error
0.07204888766822178
mean_prior_absolute_error
0.10910149339756714
weighted_recall
0.9439714364185663 [0.413811,0.976548]
number_of_instances
32769 [1897,30872]
precision
0.9387117231212213 [0.520212,0.964427]
predictive_accuracy
0.9439714364185663
prior_entropy
0.3190117574285477
relative_absolute_error
0.6603840646403875
root_mean_prior_squared_error
0.23353547592409915
root_mean_squared_error
0.21644297215221237
root_relative_squared_error
0.9268098189182957
total_cost
0
unweighted_recall
0.6951798047762434 [0.413811,0.976548]
area_under_roc_curve
0.8146983030402719 [0.814698,0.814698]
area_under_roc_curve
0.8107686007621241 [0.810769,0.810769]
area_under_roc_curve
0.8168456856426781 [0.816846,0.816846]
area_under_roc_curve
0.8043024227234754 [0.804302,0.804302]
area_under_roc_curve
0.8265936951221593 [0.826594,0.826594]
area_under_roc_curve
0.8052367312839923 [0.805237,0.805237]
area_under_roc_curve
0.8090506879443508 [0.809051,0.809051]
area_under_roc_curve
0.7746918316198659 [0.774692,0.774692]
area_under_roc_curve
0.808750618041703 [0.808751,0.808751]
area_under_roc_curve
0.8120476207615825 [0.812048,0.812048]
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
0.938444446060378 [0.44058,0.968916]
f_measure
0.9442413850507332 [0.48503,0.972347]
f_measure
0.9391543680721895 [0.447674,0.969404]
f_measure
0.9415488189491786 [0.459215,0.971236]
f_measure
0.943637730424765 [0.488372,0.971659]
f_measure
0.9392598906812188 [0.443787,0.969755]
f_measure
0.9409470228236623 [0.45122,0.971089]
f_measure
0.938288903166827 [0.449438,0.968377]
f_measure
0.9389763740417608 [0.444444,0.969414]
f_measure
0.9450460943695479 [0.5,0.972294]
kappa
0.40979584675955627
kappa
0.45788240544460485
kappa
0.41743203389323086
kappa
0.4311133568097205
kappa
0.4603580945537294
kappa
0.4140344269373947
kappa
0.42307240888248954
kappa
0.4179670367510862
kappa
0.4142566045829908
kappa
0.4725793135983015
kb_relative_information_score
-0.1214470831460214
kb_relative_information_score
-0.011118611805263596
kb_relative_information_score
-0.10104149214374267
kb_relative_information_score
-0.031427861680882324
kb_relative_information_score
-0.008399857048612873
kb_relative_information_score
-0.024760685828060684
kb_relative_information_score
0.006090506597164947
kb_relative_information_score
-0.10226202890779262
kb_relative_information_score
-0.08989271774842107
kb_relative_information_score
-0.01352993383242658
mean_absolute_error
0.07643271284711649
mean_absolute_error
0.06997253585596602
mean_absolute_error
0.07360085444003699
mean_absolute_error
0.07096124504119637
mean_absolute_error
0.06974671956057403
mean_absolute_error
0.07119621605126672
mean_absolute_error
0.06961855355508109
mean_absolute_error
0.0746872139151664
mean_absolute_error
0.07364967958498655
mean_absolute_error
0.07062271062271087
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
0.9363050755059197 [0.487179,0.963794]
precision
0.9420496038218305 [0.558621,0.965517]
precision
0.9369248073420636 [0.5,0.963817]
precision
0.9390273413236895 [0.539007,0.963648]
precision
0.9416717319663274 [0.545455,0.966058]
precision
0.9367798010207072 [0.506757,0.963247]
precision
0.9382989591283856 [0.536232,0.963046]
precision
0.9366539111370208 [0.481928,0.964642]
precision
0.9366451754653647 [0.5,0.96352]
precision
0.9432193505453731 [0.554839,0.966998]
predictive_accuracy
0.9411046689044857
predictive_accuracy
0.9475129691791273
predictive_accuracy
0.9420201403722918
predictive_accuracy
0.94537686908758
predictive_accuracy
0.946292340555386
predictive_accuracy
0.9426304546841624
predictive_accuracy
0.9450717119316449
predictive_accuracy
0.94018919743668
predictive_accuracy
0.9420201403722918
predictive_accuracy
0.9474969474969476
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
0.7017901532495678
relative_absolute_error
0.6424740772951886
relative_absolute_error
0.6741185660106129
relative_absolute_error
0.6499420844152225
relative_absolute_error
0.6388181079123747
relative_absolute_error
0.652094210522559
relative_absolute_error
0.6376442209447364
relative_absolute_error
0.6840686555458224
relative_absolute_error
0.6745657610459027
relative_absolute_error
0.6483511897386538
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
0.22186279633301415
root_mean_squared_error
0.21189540893357897
root_mean_squared_error
0.22052805105013207
root_mean_squared_error
0.21312545499465077
root_mean_squared_error
0.2112365327055578
root_mean_squared_error
0.21705613532777657
root_mean_squared_error
0.21463255711635623
root_mean_squared_error
0.2225591849020258
root_mean_squared_error
0.21733488501136952
root_mean_squared_error
0.21384339779146538
root_relative_squared_error
0.9516804355448824
root_relative_squared_error
0.9089253286124835
root_relative_squared_error
0.9436156819830417
root_relative_squared_error
0.911940773997073
root_relative_squared_error
0.9038582797948718
root_relative_squared_error
0.9287597300688185
root_relative_squared_error
0.9183895009940203
root_relative_squared_error
0.95230668408335
root_relative_squared_error
0.929952469820218
root_relative_squared_error
0.9171498954040453
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
0.6881048331825534 [0.402116,0.974093]
unweighted_recall
0.7039230199851961 [0.428571,0.979275]
unweighted_recall
0.6901599236185703 [0.405263,0.975057]
unweighted_recall
0.6894719792678976 [0.4,0.978944]
unweighted_recall
0.7097147630982218 [0.442105,0.977324]
unweighted_recall
0.685544643922732 [0.394737,0.976352]
unweighted_recall
0.6843707909228854 [0.389474,0.979268]
unweighted_recall
0.6965969345131536 [0.421053,0.972141]
unweighted_recall
0.6876903142209265 [0.4,0.975381]
unweighted_recall
0.7163373285822265 [0.455026,0.977648]
usercpu_time_millis
3250
usercpu_time_millis
3312.5
usercpu_time_millis
3187.5
usercpu_time_millis
3203.125
usercpu_time_millis
3234.375
usercpu_time_millis
3296.875
usercpu_time_millis
3218.75
usercpu_time_millis
3390.625
usercpu_time_millis
3250
usercpu_time_millis
3281.25
usercpu_time_millis_testing
140.625
usercpu_time_millis_testing
156.25
usercpu_time_millis_testing
140.625
usercpu_time_millis_testing
140.625
usercpu_time_millis_testing
140.625
usercpu_time_millis_testing
156.25
usercpu_time_millis_testing
140.625
usercpu_time_millis_testing
156.25
usercpu_time_millis_testing
140.625
usercpu_time_millis_testing
140.625
usercpu_time_millis_training
3109.375
usercpu_time_millis_training
3156.25
usercpu_time_millis_training
3046.875
usercpu_time_millis_training
3062.5
usercpu_time_millis_training
3093.75
usercpu_time_millis_training
3140.625
usercpu_time_millis_training
3078.125
usercpu_time_millis_training
3234.375
usercpu_time_millis_training
3109.375
usercpu_time_millis_training
3140.625
wall_clock_time_millis
3295.133113861084
wall_clock_time_millis
3307.1231842041016
wall_clock_time_millis
3251.136302947998
wall_clock_time_millis
3261.12699508667
wall_clock_time_millis
3306.1065673828125
wall_clock_time_millis
3449.0034580230713
wall_clock_time_millis
3256.129026412964
wall_clock_time_millis
3457.0157527923584
wall_clock_time_millis
3299.1130352020264
wall_clock_time_millis
3301.130771636963
wall_clock_time_millis_testing
148.93770217895508
wall_clock_time_millis_testing
145.93935012817383
wall_clock_time_millis_testing
144.94037628173828
wall_clock_time_millis_testing
145.91622352600098
wall_clock_time_millis_testing
149.91450309753418
wall_clock_time_millis_testing
149.89614486694336
wall_clock_time_millis_testing
142.91858673095703
wall_clock_time_millis_testing
149.91378784179688
wall_clock_time_millis_testing
150.895357131958
wall_clock_time_millis_testing
142.93861389160156
wall_clock_time_millis_training
3146.195411682129
wall_clock_time_millis_training
3161.1838340759277
wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
3307.1019649505615
wall_clock_time_millis_training
3148.2176780700684
wall_clock_time_millis_training
3158.1921577453613
weighted_recall
0.9411046689044859 [0.402116,0.974093]
weighted_recall
0.9475129691791272 [0.428571,0.979275]
weighted_recall
0.9420201403722918 [0.405263,0.975057]
weighted_recall
0.9453768690875801 [0.4,0.978944]
weighted_recall
0.946292340555386 [0.442105,0.977324]
weighted_recall
0.9426304546841623 [0.394737,0.976352]
weighted_recall
0.9450717119316447 [0.389474,0.979268]
weighted_recall
0.9401891974366798 [0.421053,0.972141]
weighted_recall
0.9420201403722918 [0.4,0.975381]
weighted_recall
0.9474969474969475 [0.455026,0.977648]