10589095
32117
VAIBHAV JAISWAL
9983
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.
1471
eeg-eye-state
https://www.openml.org/data/download/1587924/phplE7q6h
-1
22105757
description
https://api.openml.org/data/download/22105757/description.xml
-1
22105758
predictions
https://api.openml.org/data/download/22105758/predictions.arff
area_under_roc_curve
0.9840883501350729 [0.984088,0.984088]
average_cost
0
f_measure
0.9336912700694551 [0.941001,0.924713]
kappa
0.8657632053675981
kb_relative_information_score
0.6376576117308732
mean_absolute_error
0.20251134846462043
mean_prior_absolute_error
0.4947574918117115
weighted_recall
0.933845126835781 [0.957127,0.905251]
number_of_instances
14980 [8257,6723]
precision
0.9342158080916769 [0.92541,0.945031]
predictive_accuracy
0.9338451268357811
prior_entropy
0.9924223735239917
relative_absolute_error
0.409314364746779
root_mean_prior_squared_error
0.4973714869043071
root_mean_squared_error
0.2609386875587609
root_relative_squared_error
0.5246353971412212
total_cost
0
unweighted_recall
0.931188959048733 [0.957127,0.905251]
area_under_roc_curve
0.9827301683385218 [0.98273,0.98273]
area_under_roc_curve
0.9872647152081171 [0.987265,0.987265]
area_under_roc_curve
0.9883699772281795 [0.98837,0.98837]
area_under_roc_curve
0.9810655194281103 [0.981066,0.981066]
area_under_roc_curve
0.9863531217571774 [0.986353,0.986353]
area_under_roc_curve
0.9841110702755678 [0.984111,0.984111]
area_under_roc_curve
0.9847821543871788 [0.984782,0.984782]
area_under_roc_curve
0.9814876851726777 [0.981488,0.981488]
area_under_roc_curve
0.9835661218424961 [0.983566,0.983566]
area_under_roc_curve
0.9812724571119815 [0.981272,0.981272]
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
0.931640159787312 [0.939858,0.921538]
f_measure
0.9378141433713438 [0.944411,0.929705]
f_measure
0.9411196015491103 [0.947619,0.933131]
f_measure
0.9250469106318909 [0.933413,0.914764]
f_measure
0.9283427624536641 [0.936649,0.918133]
f_measure
0.9358671485809779 [0.942238,0.928036]
f_measure
0.9397337673763141 [0.946682,0.931193]
f_measure
0.9317667716932767 [0.939141,0.922727]
f_measure
0.9317792475978632 [0.939068,0.922844]
f_measure
0.9337674841309134 [0.940966,0.924943]
kappa
0.861518550474547
kappa
0.8741415291216089
kappa
0.8807920190408669
kappa
0.8482384823848238
kappa
0.8548720353914995
kappa
0.87028010001768
kappa
0.8779467680608364
kappa
0.8619102790967538
kappa
0.8619482075384757
kappa
0.8659533274400594
kb_relative_information_score
0.634597672497266
kb_relative_information_score
0.6466961356621677
kb_relative_information_score
0.6462312842130045
kb_relative_information_score
0.6308721029555384
kb_relative_information_score
0.6323632170560799
kb_relative_information_score
0.6394906351697468
kb_relative_information_score
0.6402303728080244
kb_relative_information_score
0.6311772195497474
kb_relative_information_score
0.6394522688063181
kb_relative_information_score
0.6354665800630275
mean_absolute_error
0.20415887850467254
mean_absolute_error
0.1977503337783711
mean_absolute_error
0.19893858477970638
mean_absolute_error
0.2050000000000001
mean_absolute_error
0.20533377837116157
mean_absolute_error
0.20136849132176218
mean_absolute_error
0.20172229639519348
mean_absolute_error
0.2060881174899868
mean_absolute_error
0.201008010680908
mean_absolute_error
0.20374499332443263
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.49480533738838384
mean_prior_absolute_error
0.49480533738838384
mean_prior_absolute_error
0.49480533738838384
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [825,673]
number_of_instances
1498 [825,673]
number_of_instances
1498 [825,673]
precision
0.9330174278299269 [0.916092,0.953822]
precision
0.9380854024151638 [0.932704,0.9447]
precision
0.9416537326556578 [0.932084,0.953416]
precision
0.9256157743034327 [0.917056,0.936137]
precision
0.9292707183328619 [0.91657,0.944882]
precision
0.9359041551829582 [0.936603,0.935045]
precision
0.9406560671565063 [0.926914,0.957547]
precision
0.9321951259930256 [0.924794,0.941267]
precision
0.9321353137047825 [0.925795,0.939908]
precision
0.9342402102205548 [0.926056,0.944272]
predictive_accuracy
0.931909212283044
predictive_accuracy
0.937917222963952
predictive_accuracy
0.9412550066755674
predictive_accuracy
0.9252336448598131
predictive_accuracy
0.9285714285714286
predictive_accuracy
0.9359145527369825
predictive_accuracy
0.9399198931909213
predictive_accuracy
0.931909212283044
predictive_accuracy
0.931909212283044
predictive_accuracy
0.9339118825100133
prior_entropy
0.9923629998200836
prior_entropy
0.9923629998200836
prior_entropy
0.9923629998200836
prior_entropy
0.9923629998200836
prior_entropy
0.9923629998200836
prior_entropy
0.9923629998200836
prior_entropy
0.9923629998200836
prior_entropy
0.992560912165838
prior_entropy
0.992560912165838
prior_entropy
0.992560912165838
relative_absolute_error
0.41266144244106656
relative_absolute_error
0.39970800475531276
relative_absolute_error
0.40210978799288016
relative_absolute_error
0.41436158113732274
relative_absolute_error
0.4150362393501223
relative_absolute_error
0.4070212997820615
relative_absolute_error
0.4077364374876292
relative_absolute_error
0.41650342451383787
relative_absolute_error
0.40623654494480993
relative_absolute_error
0.4117679780897525
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4974195830102464
root_mean_prior_squared_error
0.4974195830102464
root_mean_prior_squared_error
0.4974195830102464
root_mean_squared_error
0.2629595602123568
root_mean_squared_error
0.2554598722469694
root_mean_squared_error
0.25433635729782084
root_mean_squared_error
0.2665648309113033
root_mean_squared_error
0.26185369288077714
root_mean_squared_error
0.2601849244798183
root_mean_squared_error
0.25940622348942755
root_mean_squared_error
0.26416682636079186
root_mean_squared_error
0.2610739604347578
root_mean_squared_error
0.26313466730462715
root_relative_squared_error
0.5287204156258499
root_relative_squared_error
0.5136411458897673
root_relative_squared_error
0.5113821472422339
root_relative_squared_error
0.5359693637943491
root_relative_squared_error
0.5264969002126524
root_relative_squared_error
0.5231415861034192
root_relative_squared_error
0.5215758886594656
root_relative_squared_error
0.53107443973582
root_relative_squared_error
0.5248566187418879
root_relative_squared_error
0.5289994127537331
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
0.9281300443906376 [0.964891,0.891369]
unweighted_recall
0.9357975181598063 [0.956416,0.915179]
unweighted_recall
0.9386854317998385 [0.96368,0.91369]
unweighted_recall
0.9223542171105731 [0.950363,0.894345]
unweighted_recall
0.9252421307506054 [0.957627,0.892857]
unweighted_recall
0.9345364205004035 [0.947942,0.921131]
unweighted_recall
0.9367811743341404 [0.967312,0.90625]
unweighted_recall
0.9294214057364132 [0.953939,0.904903]
unweighted_recall
0.9295582871808726 [0.952727,0.906389]
unweighted_recall
0.9313764689990545 [0.956364,0.906389]
usercpu_time_millis
2734.375
usercpu_time_millis
2765.625
usercpu_time_millis
2953.125
usercpu_time_millis
2734.375
usercpu_time_millis
2734.375
usercpu_time_millis
2734.375
usercpu_time_millis
2718.75
usercpu_time_millis
2750
usercpu_time_millis
2734.375
usercpu_time_millis
2750
usercpu_time_millis_testing
46.875
usercpu_time_millis_testing
46.875
usercpu_time_millis_testing
46.875
usercpu_time_millis_testing
46.875
usercpu_time_millis_testing
46.875
usercpu_time_millis_testing
46.875
usercpu_time_millis_testing
62.5
usercpu_time_millis_testing
62.5
usercpu_time_millis_testing
46.875
usercpu_time_millis_testing
46.875
usercpu_time_millis_training
2687.5
usercpu_time_millis_training
2718.75
usercpu_time_millis_training
2906.25
usercpu_time_millis_training
2687.5
usercpu_time_millis_training
2687.5
usercpu_time_millis_training
2687.5
usercpu_time_millis_training
2656.25
usercpu_time_millis_training
2687.5
usercpu_time_millis_training
2687.5
usercpu_time_millis_training
2703.125
wall_clock_time_millis
2745.4757690429688
wall_clock_time_millis
2790.3876304626465
wall_clock_time_millis
2954.331159591675
wall_clock_time_millis
2739.428997039795
wall_clock_time_millis
2731.456518173218
wall_clock_time_millis
2740.429401397705
wall_clock_time_millis
2721.439838409424
wall_clock_time_millis
2738.426446914673
wall_clock_time_millis
2740.4510974884033
wall_clock_time_millis
2767.413854598999
wall_clock_time_millis_testing
50.971031188964844
wall_clock_time_millis_testing
49.974679946899414
wall_clock_time_millis_testing
50.97031593322754
wall_clock_time_millis_testing
50.971269607543945
wall_clock_time_millis_testing
51.99098587036133
wall_clock_time_millis_testing
50.95243453979492
wall_clock_time_millis_testing
50.97365379333496
wall_clock_time_millis_testing
48.96998405456543
wall_clock_time_millis_testing
50.99320411682129
wall_clock_time_millis_testing
51.971435546875
wall_clock_time_millis_training
2694.504737854004
wall_clock_time_millis_training
2740.412950515747
wall_clock_time_millis_training
2903.3608436584473
wall_clock_time_millis_training
2688.457727432251
wall_clock_time_millis_training
2679.4655323028564
wall_clock_time_millis_training
2689.47696685791
wall_clock_time_millis_training
2670.466184616089
wall_clock_time_millis_training
2689.4564628601074
wall_clock_time_millis_training
2689.457893371582
wall_clock_time_millis_training
2715.442419052124
weighted_recall
0.931909212283044 [0.964891,0.891369]
weighted_recall
0.937917222963952 [0.956416,0.915179]
weighted_recall
0.9412550066755674 [0.96368,0.91369]
weighted_recall
0.9252336448598131 [0.950363,0.894345]
weighted_recall
0.9285714285714286 [0.957627,0.892857]
weighted_recall
0.9359145527369827 [0.947942,0.921131]
weighted_recall
0.9399198931909212 [0.967312,0.90625]
weighted_recall
0.931909212283044 [0.953939,0.904903]
weighted_recall
0.931909212283044 [0.952727,0.906389]
weighted_recall
0.9339118825100133 [0.956364,0.906389]