10591465
32117
VAIBHAV JAISWAL
9983
Supervised Classification
19176
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.neural_network._multilayer_perceptron.MLPClassifier)(1)
8304110
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
19176
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"}}]
19176
verbose
false
19176
activation
"relu"
19177
alpha
0.0001
19177
batch_size
"auto"
19177
beta_1
0.9
19177
beta_2
0.999
19177
early_stopping
false
19177
epsilon
1e-08
19177
hidden_layer_sizes
[100]
19177
learning_rate
"constant"
19177
learning_rate_init
0.001
19177
max_fun
15000
19177
max_iter
5000
19177
momentum
0.9
19177
n_iter_no_change
10
19177
nesterovs_momentum
true
19177
power_t
0.5
19177
random_state
0
19177
shuffle
true
19177
solver
"adam"
19177
tol
0.0001
19177
validation_fraction
0.1
19177
verbose
false
19177
warm_start
false
19177
openml-python
Sklearn_1.0.2.
1471
eeg-eye-state
https://www.openml.org/data/download/1587924/phplE7q6h
-1
22110536
description
https://api.openml.org/data/download/22110536/description.xml
-1
22110537
predictions
https://api.openml.org/data/download/22110537/predictions.arff
area_under_roc_curve
0.9612617123948631 [0.961262,0.961262]
average_cost
0
f_measure
0.8918661789113665 [0.902904,0.878309]
kappa
0.7812359462676889
kb_relative_information_score
0.6971976369431685
mean_absolute_error
0.1592118728363494
mean_prior_absolute_error
0.4947574918117115
weighted_recall
0.8919893190921229 [0.911106,0.868511]
number_of_instances
14980 [8257,6723]
precision
0.8919240472742014 [0.89485,0.888331]
predictive_accuracy
0.8919893190921228
prior_entropy
0.9924223735239917
relative_absolute_error
0.3217978008849237
root_mean_prior_squared_error
0.4973714869043071
root_mean_squared_error
0.2781388488296163
root_relative_squared_error
0.5592175188022579
total_cost
0
unweighted_recall
0.8898084049176489 [0.911106,0.868511]
area_under_roc_curve
0.9805863023175371 [0.980586,0.980586]
area_under_roc_curve
0.9549770119912372 [0.954977,0.954977]
area_under_roc_curve
0.9505992015450248 [0.950599,0.950599]
area_under_roc_curve
0.9629813789922749 [0.962981,0.962981]
area_under_roc_curve
0.9797918107921134 [0.979792,0.979792]
area_under_roc_curve
0.9564038539144473 [0.956404,0.956404]
area_under_roc_curve
0.9582036204312234 [0.958204,0.958204]
area_under_roc_curve
0.9573974514836329 [0.957397,0.957397]
area_under_roc_curve
0.9497699130982936 [0.94977,0.94977]
area_under_roc_curve
0.9567364581926247 [0.956736,0.956736]
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
0.9290758836841557 [0.936905,0.919453]
f_measure
0.8817457144702157 [0.893566,0.867217]
f_measure
0.868459442716209 [0.885246,0.847826]
f_measure
0.8928378493621254 [0.905325,0.877489]
f_measure
0.9286383722984354 [0.934637,0.921266]
f_measure
0.8898136703296295 [0.900422,0.876774]
f_measure
0.8884267475509944 [0.899579,0.874719]
f_measure
0.8846317625123507 [0.89406,0.873074]
f_measure
0.8718371786721184 [0.887977,0.852053]
f_measure
0.8826608915148019 [0.891892,0.871345]
kappa
0.8564085683901353
kappa
0.760795705715188
kappa
0.7334519572953736
kappa
0.7829559573011488
kappa
0.8559167390292094
kappa
0.7771986724044371
kappa
0.7743100726239344
kappa
0.7671643453838786
kappa
0.7403859938843471
kappa
0.7632883639164874
kb_relative_information_score
0.7966312873594613
kb_relative_information_score
0.6706391524654315
kb_relative_information_score
0.6459083660585406
kb_relative_information_score
0.6867814226483132
kb_relative_information_score
0.7920609659406537
kb_relative_information_score
0.6837331735408361
kb_relative_information_score
0.6821572451946092
kb_relative_information_score
0.6823950181051768
kb_relative_information_score
0.6479649800632444
kb_relative_information_score
0.6837202168348396
mean_absolute_error
0.10719452102999313
mean_absolute_error
0.1733639193983469
mean_absolute_error
0.18550638471841033
mean_absolute_error
0.1654797852807715
mean_absolute_error
0.11051728588306131
mean_absolute_error
0.16591977252179893
mean_absolute_error
0.16737933508572056
mean_absolute_error
0.16701106485294004
mean_absolute_error
0.18450985056539532
mean_absolute_error
0.1652368090270585
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
0.9295734773949015 [0.921546,0.939441]
precision
0.8817450760026871 [0.887694,0.874433]
precision
0.8702512440830197 [0.857143,0.886364]
precision
0.8936568860127558 [0.885417,0.903785]
precision
0.9288925742654225 [0.94328,0.911208]
precision
0.8897942135245006 [0.897714,0.88006]
precision
0.8884323232587367 [0.893668,0.881997]
precision
0.8849796332451496 [0.903465,0.862319]
precision
0.8735885981740487 [0.860227,0.889968]
precision
0.8831937409269321 [0.90411,0.857554]
predictive_accuracy
0.9292389853137517
predictive_accuracy
0.8818424566088118
predictive_accuracy
0.8691588785046729
predictive_accuracy
0.8931909212283045
predictive_accuracy
0.9285714285714286
predictive_accuracy
0.8898531375166889
predictive_accuracy
0.8885180240320427
predictive_accuracy
0.8845126835781042
predictive_accuracy
0.8724966622162884
predictive_accuracy
0.8825100133511349
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
0.21666971328412646
relative_absolute_error
0.3504163305076212
relative_absolute_error
0.3749596043072632
relative_absolute_error
0.33448031939124445
relative_absolute_error
0.22338593815371113
relative_absolute_error
0.33536965504428046
relative_absolute_error
0.3383198338333312
relative_absolute_error
0.33752882645614896
relative_absolute_error
0.3728938162616654
relative_absolute_error
0.3339430611221569
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
0.2316783446372047
root_mean_squared_error
0.28983927487705924
root_mean_squared_error
0.2996824428295416
root_mean_squared_error
0.2780025398385481
root_mean_squared_error
0.2306817548607477
root_mean_squared_error
0.28625453113571375
root_mean_squared_error
0.2839761655117229
root_mean_squared_error
0.2837193460747007
root_mean_squared_error
0.29900429599451184
root_mean_squared_error
0.2883350921935247
root_relative_squared_error
0.46582474723174433
root_relative_squared_error
0.5827661932273517
root_relative_squared_error
0.6025573879141268
root_relative_squared_error
0.5589666269968611
root_relative_squared_error
0.46382095105718707
root_relative_squared_error
0.5755585176467196
root_relative_squared_error
0.570977515082328
root_relative_squared_error
0.5703823407146724
root_relative_squared_error
0.6011108251609639
root_relative_squared_error
0.5796617223001155
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
0.9265410613397902 [0.952785,0.900298]
unweighted_recall
0.8798173930589185 [0.899516,0.860119]
unweighted_recall
0.8638771186440678 [0.915254,0.8125]
unweighted_recall
0.8894143462469734 [0.92615,0.852679]
unweighted_recall
0.9288488700564972 [0.92615,0.931548]
unweighted_recall
0.888329802259887 [0.903148,0.873512]
unweighted_recall
0.8865642655367232 [0.905569,0.86756]
unweighted_recall
0.8844747624836777 [0.884848,0.884101]
unweighted_recall
0.8674060065739115 [0.917576,0.817236]
unweighted_recall
0.8827934621099554 [0.88,0.885587]
usercpu_time_millis
93937.5
usercpu_time_millis
113984.375
usercpu_time_millis
85171.875
usercpu_time_millis
107187.5
usercpu_time_millis
66453.125
usercpu_time_millis
119984.375
usercpu_time_millis
118968.75
usercpu_time_millis
121968.75
usercpu_time_millis
87890.625
usercpu_time_millis
137468.75
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
31.25
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_training
93937.5
usercpu_time_millis_training
113984.375
usercpu_time_millis_training
85171.875
usercpu_time_millis_training
107156.25
usercpu_time_millis_training
66453.125
usercpu_time_millis_training
119984.375
usercpu_time_millis_training
118968.75
usercpu_time_millis_training
121968.75
usercpu_time_millis_training
87890.625
usercpu_time_millis_training
137453.125
wall_clock_time_millis
77104.87103462219
wall_clock_time_millis
94706.86292648315
wall_clock_time_millis
70982.49840736389
wall_clock_time_millis
86087.3692035675
wall_clock_time_millis
55505.029916763306
wall_clock_time_millis
99074.74899291992
wall_clock_time_millis
96822.39890098572
wall_clock_time_millis
100871.10996246338
wall_clock_time_millis
71964.65110778809
wall_clock_time_millis
111528.27954292297
wall_clock_time_millis_testing
4.998207092285156
wall_clock_time_millis_testing
5.019187927246094
wall_clock_time_millis_testing
5.999326705932617
wall_clock_time_millis_testing
5.992412567138672
wall_clock_time_millis_testing
5.013942718505859
wall_clock_time_millis_testing
3.998994827270508
wall_clock_time_millis_testing
5.993127822875977
wall_clock_time_millis_testing
4.997730255126953
wall_clock_time_millis_testing
4.998683929443359
wall_clock_time_millis_testing
4.998445510864258
wall_clock_time_millis_training
77099.8728275299
wall_clock_time_millis_training
94701.84373855591
wall_clock_time_millis_training
70976.49908065796
wall_clock_time_millis_training
86081.37679100037
wall_clock_time_millis_training
55500.0159740448
wall_clock_time_millis_training
99070.74999809265
wall_clock_time_millis_training
96816.40577316284
wall_clock_time_millis_training
100866.11223220825
wall_clock_time_millis_training
71959.65242385864
wall_clock_time_millis_training
111523.28109741211
weighted_recall
0.9292389853137517 [0.952785,0.900298]
weighted_recall
0.8818424566088118 [0.899516,0.860119]
weighted_recall
0.8691588785046729 [0.915254,0.8125]
weighted_recall
0.8931909212283045 [0.92615,0.852679]
weighted_recall
0.9285714285714286 [0.92615,0.931548]
weighted_recall
0.8898531375166889 [0.903148,0.873512]
weighted_recall
0.8885180240320427 [0.905569,0.86756]
weighted_recall
0.8845126835781041 [0.884848,0.884101]
weighted_recall
0.8724966622162884 [0.917576,0.817236]
weighted_recall
0.8825100133511349 [0.88,0.885587]