10589091
32117
VAIBHAV JAISWAL
9983
Supervised Classification
19161
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.neighbors._classification.KNeighborsClassifier)(1)
8304079
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
algorithm
"auto"
19154
leaf_size
30
19154
metric
"minkowski"
19154
metric_params
null
19154
n_jobs
null
19154
n_neighbors
5
19154
p
2
19154
weights
"uniform"
19154
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
19161
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"}}]
19161
verbose
false
19161
openml-python
Sklearn_1.0.2.
1471
eeg-eye-state
https://www.openml.org/data/download/1587924/phplE7q6h
-1
22105749
description
https://api.openml.org/data/download/22105749/description.xml
-1
22105750
predictions
https://api.openml.org/data/download/22105750/predictions.arff
area_under_roc_curve
0.9262379766352786 [0.926238,0.926238]
average_cost
0
f_measure
0.8535800278268606 [0.868464,0.8353]
kappa
0.7037913524263417
kb_relative_information_score
0.6099860727540125
mean_absolute_error
0.20029372496662115
mean_prior_absolute_error
0.4947574918117115
weighted_recall
0.8537383177570094 [0.875984,0.826417]
number_of_instances
14980 [8257,6723]
precision
0.8535789507590669 [0.861071,0.844377]
predictive_accuracy
0.8537383177570094
prior_entropy
0.9924223735239917
relative_absolute_error
0.40483212135541824
root_mean_prior_squared_error
0.4973714869043071
root_mean_squared_error
0.32461952670188027
root_relative_squared_error
0.6526701575161589
total_cost
0
unweighted_recall
0.8512003958941279 [0.875984,0.826417]
area_under_roc_curve
0.9692391257350399 [0.969239,0.969239]
area_under_roc_curve
0.9053825449671395 [0.905383,0.905383]
area_under_roc_curve
0.9163937291018102 [0.916394,0.916394]
area_under_roc_curve
0.9195095411045774 [0.91951,0.91951]
area_under_roc_curve
0.9717144802836388 [0.971714,0.971714]
area_under_roc_curve
0.9191510290556901 [0.919151,0.919151]
area_under_roc_curve
0.9067850657212037 [0.906785,0.906785]
area_under_roc_curve
0.9139826196586969 [0.913983,0.913983]
area_under_roc_curve
0.9134774190643433 [0.913477,0.913477]
area_under_roc_curve
0.9038551938403349 [0.903855,0.903855]
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
0.9176611456065868 [0.927003,0.906178]
f_measure
0.8391075922992333 [0.854204,0.820551]
f_measure
0.8378167945793757 [0.852638,0.819599]
f_measure
0.8386037920685332 [0.857312,0.815608]
f_measure
0.9177090530648002 [0.926742,0.906606]
f_measure
0.8448558636596512 [0.86141,0.824508]
f_measure
0.8417086656554289 [0.857143,0.822737]
f_measure
0.8371803502295664 [0.851582,0.819527]
f_measure
0.8442575728827387 [0.860228,0.82468]
f_measure
0.8169839147931051 [0.834741,0.795217]
kappa
0.8332636539850253
kappa
0.6747556284290849
kappa
0.6722383995764476
kappa
0.6731229956014145
kappa
0.8334029544677781
kappa
0.685986793837124
kappa
0.6798874007498201
kappa
0.6711134625801495
kappa
0.6849492628169833
kappa
0.6299680680541708
kb_relative_information_score
0.753950678896297
kb_relative_information_score
0.5544010508264161
kb_relative_information_score
0.5818001265396024
kb_relative_information_score
0.5876790966122128
kb_relative_information_score
0.7591194413849394
kb_relative_information_score
0.5896854008174524
kb_relative_information_score
0.5687990516328595
kb_relative_information_score
0.57739503252328
kb_relative_information_score
0.5760778327921717
kb_relative_information_score
0.5509780461199365
mean_absolute_error
0.12857142857142856
mean_absolute_error
0.2292389853137504
mean_absolute_error
0.2140186915887839
mean_absolute_error
0.21134846461949172
mean_absolute_error
0.12550066755674222
mean_absolute_error
0.21081441922563357
mean_absolute_error
0.2212283044058736
mean_absolute_error
0.21615487316421816
mean_absolute_error
0.2178905206942581
mean_absolute_error
0.22817089452603365
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
0.9183394952636625 [0.909197,0.929577]
precision
0.8390971124266305 [0.853688,0.821162]
precision
0.837856637255236 [0.854192,0.817778]
precision
0.8391295972724174 [0.838934,0.83937]
precision
0.9181339598685538 [0.912075,0.925581]
precision
0.8449539153317147 [0.850236,0.838462]
precision
0.8416653429694554 [0.853541,0.827068]
precision
0.8372715425005075 [0.854701,0.815906]
precision
0.8442756825642965 [0.851544,0.835366]
precision
0.8169253282087201 [0.830732,0.8]
predictive_accuracy
0.917890520694259
predictive_accuracy
0.8391188251001336
predictive_accuracy
0.8377837116154874
predictive_accuracy
0.8391188251001336
predictive_accuracy
0.917890520694259
predictive_accuracy
0.8451268357810414
predictive_accuracy
0.8417890520694259
predictive_accuracy
0.8371161548731643
predictive_accuracy
0.8444592790387183
predictive_accuracy
0.8170894526034713
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
0.25987834357044615
relative_absolute_error
0.4633552605508345
relative_absolute_error
0.43259084604716824
relative_absolute_error
0.42719358034477106
relative_absolute_error
0.2536714880126887
relative_absolute_error
0.42611412720429215
relative_absolute_error
0.4471634634436424
relative_absolute_error
0.4368483054469426
relative_absolute_error
0.4403560435388572
relative_absolute_error
0.4611326460832762
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
0.2515107888392397
root_mean_squared_error
0.3474492211557086
root_mean_squared_error
0.3367559047527564
root_mean_squared_error
0.3338891671916851
root_mean_squared_error
0.2486814359955558
root_mean_squared_error
0.3318838087091786
root_mean_squared_error
0.3462945179914358
root_mean_squared_error
0.33944114913334567
root_mean_squared_error
0.3388506450924542
root_mean_squared_error
0.35066216211036266
root_relative_squared_error
0.5057009096839041
root_relative_squared_error
0.698599801695636
root_relative_squared_error
0.6770992535184874
root_relative_squared_error
0.6713352391827628
root_relative_squared_error
0.5000120630405014
root_relative_squared_error
0.6673031592329278
root_relative_squared_error
0.6962780943713396
root_relative_squared_error
0.6824040723912421
root_relative_squared_error
0.6812169377044293
root_relative_squared_error
0.7049625187417266
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
0.9147245762711864 [0.945521,0.883929]
unweighted_recall
0.83733101291364 [0.854722,0.81994]
unweighted_recall
0.8362590799031477 [0.85109,0.821429]
unweighted_recall
0.8348340395480226 [0.876513,0.793155]
unweighted_recall
0.9151407384987893 [0.941889,0.888393]
unweighted_recall
0.8419466303470541 [0.872881,0.811012]
unweighted_recall
0.839613599677159 [0.860775,0.818452]
unweighted_recall
0.8358323202305371 [0.848485,0.82318]
unweighted_recall
0.8416776982304471 [0.869091,0.814264]
unweighted_recall
0.814639110270611 [0.838788,0.79049]
usercpu_time_millis
359.375
usercpu_time_millis
328.125
usercpu_time_millis
328.125
usercpu_time_millis
312.5
usercpu_time_millis
328.125
usercpu_time_millis
328.125
usercpu_time_millis
328.125
usercpu_time_millis
328.125
usercpu_time_millis
296.875
usercpu_time_millis
312.5
usercpu_time_millis_testing
281.25
usercpu_time_millis_testing
234.375
usercpu_time_millis_testing
234.375
usercpu_time_millis_testing
234.375
usercpu_time_millis_testing
250
usercpu_time_millis_testing
250
usercpu_time_millis_testing
234.375
usercpu_time_millis_testing
234.375
usercpu_time_millis_testing
203.125
usercpu_time_millis_testing
234.375
usercpu_time_millis_training
78.125
usercpu_time_millis_training
93.75
usercpu_time_millis_training
93.75
usercpu_time_millis_training
78.125
usercpu_time_millis_training
78.125
usercpu_time_millis_training
78.125
usercpu_time_millis_training
93.75
usercpu_time_millis_training
93.75
usercpu_time_millis_training
93.75
usercpu_time_millis_training
78.125
wall_clock_time_millis
356.7945957183838
wall_clock_time_millis
321.81739807128906
wall_clock_time_millis
325.8347511291504
wall_clock_time_millis
319.812536239624
wall_clock_time_millis
336.80272102355957
wall_clock_time_millis
328.79042625427246
wall_clock_time_millis
319.793701171875
wall_clock_time_millis
316.8165683746338
wall_clock_time_millis
296.8294620513916
wall_clock_time_millis
319.7951316833496
wall_clock_time_millis_testing
274.86228942871094
wall_clock_time_millis_testing
239.86244201660156
wall_clock_time_millis_testing
240.88454246520996
wall_clock_time_millis_testing
235.86297035217285
wall_clock_time_millis_testing
253.85212898254395
wall_clock_time_millis_testing
244.83942985534668
wall_clock_time_millis_testing
235.86225509643555
wall_clock_time_millis_testing
234.88759994506836
wall_clock_time_millis_testing
211.87877655029297
wall_clock_time_millis_testing
235.84485054016113
wall_clock_time_millis_training
81.93230628967285
wall_clock_time_millis_training
81.9549560546875
wall_clock_time_millis_training
84.95020866394043
wall_clock_time_millis_training
83.94956588745117
wall_clock_time_millis_training
82.95059204101562
wall_clock_time_millis_training
83.95099639892578
wall_clock_time_millis_training
83.93144607543945
wall_clock_time_millis_training
81.92896842956543
wall_clock_time_millis_training
84.95068550109863
wall_clock_time_millis_training
83.95028114318848
weighted_recall
0.917890520694259 [0.945521,0.883929]
weighted_recall
0.8391188251001335 [0.854722,0.81994]
weighted_recall
0.8377837116154874 [0.85109,0.821429]
weighted_recall
0.8391188251001335 [0.876513,0.793155]
weighted_recall
0.917890520694259 [0.941889,0.888393]
weighted_recall
0.8451268357810414 [0.872881,0.811012]
weighted_recall
0.8417890520694259 [0.860775,0.818452]
weighted_recall
0.8371161548731643 [0.848485,0.82318]
weighted_recall
0.8444592790387183 [0.869091,0.814264]
weighted_recall
0.8170894526034713 [0.838788,0.79049]