10590851
32117
VAIBHAV JAISWAL
59
Supervised Classification
predictive_accuracy
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)
8304373
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
33404
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.
61
iris
https://www.openml.org/data/download/61/dataset_61_iris.arff
-1
22109298
description
https://api.openml.org/data/download/22109298/description.xml
-1
22109299
predictions
https://api.openml.org/data/download/22109299/predictions.arff
area_under_roc_curve
0.9977999999999999 [1,0.9964,0.997]
average_cost
0
f_measure
0.9733226623982927 [1,0.959184,0.960784]
kappa
0.9600000000000001
kb_relative_information_score
0.9314123638669158
mean_absolute_error
0.0384334191223985
mean_prior_absolute_error
0.44444444444444337
weighted_recall
0.9733333333333334 [1,0.94,0.98]
number_of_instances
150 [50,50,50]
precision
0.9738247863247864 [1,0.979167,0.942308]
predictive_accuracy
0.9733333333333333
prior_entropy
1.5849625007211599
relative_absolute_error
0.08647519302539683
root_mean_prior_squared_error
0.4714045207910311
root_mean_squared_error
0.1216031088266124
root_relative_squared_error
0.25795914859399033
total_cost
0
unweighted_recall
0.9733333333333333 [1,0.94,0.98]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.9866666666666667 [1,0.98,0.98]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
1 [1,1,1]
area_under_roc_curve
0.9866666666666667 [1,0.98,0.98]
area_under_roc_curve
1 [1,1,1]
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
1 [1,1,1]
f_measure
1 [1,1,1]
f_measure
1 [1,1,1]
f_measure
0.9326599326599326 [1,0.888889,0.909091]
f_measure
1 [1,1,1]
f_measure
0.9326599326599326 [1,0.888889,0.909091]
f_measure
1 [1,1,1]
f_measure
0.9326599326599326 [1,0.909091,0.888889]
f_measure
0.9326599326599326 [1,0.888889,0.909091]
f_measure
1 [1,1,1]
kappa
1
kappa
1
kappa
1
kappa
0.9
kappa
1
kappa
0.9
kappa
1
kappa
0.9
kappa
0.9
kappa
1
kb_relative_information_score
0.9550952903339404
kb_relative_information_score
0.973433658492187
kb_relative_information_score
0.9278159275973149
kb_relative_information_score
0.9362745418040218
kb_relative_information_score
0.9688823276516804
kb_relative_information_score
0.8450316921142358
kb_relative_information_score
0.98459344770181
kb_relative_information_score
0.8925791075705731
kb_relative_information_score
0.8654272080666086
kb_relative_information_score
0.964990437336803
mean_absolute_error
0.026997967847969952
mean_absolute_error
0.01848860464919967
mean_absolute_error
0.041565027019445415
mean_absolute_error
0.031166258573875387
mean_absolute_error
0.020985968241071407
mean_absolute_error
0.08248594192332623
mean_absolute_error
0.011037323559660379
mean_absolute_error
0.05488095648774424
mean_absolute_error
0.07254879872598442
mean_absolute_error
0.02417734419570766
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
precision
1 [1,1,1]
precision
1 [1,1,1]
precision
1 [1,1,1]
precision
0.9444444444444445 [1,1,0.833333]
precision
1 [1,1,1]
precision
0.9444444444444445 [1,1,0.833333]
precision
1 [1,1,1]
precision
0.9444444444444445 [1,0.833333,1]
precision
0.9444444444444445 [1,1,0.833333]
precision
1 [1,1,1]
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
1
predictive_accuracy
0.9333333333333332
predictive_accuracy
1
predictive_accuracy
0.9333333333333332
predictive_accuracy
1
predictive_accuracy
0.9333333333333332
predictive_accuracy
0.9333333333333332
predictive_accuracy
1
prior_entropy
1.5849625007211567
prior_entropy
1.5849625007211567
prior_entropy
1.5849625007211567
prior_entropy
1.5849625007211567
prior_entropy
1.5849625007211567
prior_entropy
1.5849625007211567
prior_entropy
1.5849625007211567
prior_entropy
1.5849625007211567
prior_entropy
1.5849625007211567
prior_entropy
1.5849625007211567
relative_absolute_error
0.060745427657932366
relative_absolute_error
0.04159936046069924
relative_absolute_error
0.09352131079375216
relative_absolute_error
0.0701240817912196
relative_absolute_error
0.047218428542410644
relative_absolute_error
0.18559336932748396
relative_absolute_error
0.024833978009235844
relative_absolute_error
0.12348215209742451
relative_absolute_error
0.1632347971334649
relative_absolute_error
0.05439902444034222
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_squared_error
0.0913243820172043
root_mean_squared_error
0.04156233543371584
root_mean_squared_error
0.12585830773538778
root_mean_squared_error
0.1307271397419779
root_mean_squared_error
0.05485202266122967
root_mean_squared_error
0.20216509891144774
root_mean_squared_error
0.020957758892940503
root_mean_squared_error
0.1631737729188261
root_mean_squared_error
0.17760594021964998
root_mean_squared_error
0.04886145882715428
root_relative_squared_error
0.19372826943610785
root_relative_squared_error
0.08816702768139117
root_relative_squared_error
0.266985788605068
root_relative_squared_error
0.2773141409900219
root_relative_squared_error
0.116358711556661
root_relative_squared_error
0.4288569370786014
root_relative_squared_error
0.04445812029501269
root_relative_squared_error
0.34614384402808723
root_relative_squared_error
0.3767590941249812
root_relative_squared_error
0.10365080662604424
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
1 [1,1,1]
unweighted_recall
1 [1,1,1]
unweighted_recall
1 [1,1,1]
unweighted_recall
0.9333333333333332 [1,0.8,1]
unweighted_recall
1 [1,1,1]
unweighted_recall
0.9333333333333332 [1,0.8,1]
unweighted_recall
1 [1,1,1]
unweighted_recall
0.9333333333333332 [1,1,0.8]
unweighted_recall
0.9333333333333332 [1,0.8,1]
unweighted_recall
1 [1,1,1]
usercpu_time_millis
468.75
usercpu_time_millis
500
usercpu_time_millis
484.375
usercpu_time_millis
468.75
usercpu_time_millis
484.375
usercpu_time_millis
484.375
usercpu_time_millis
484.375
usercpu_time_millis
500
usercpu_time_millis
468.75
usercpu_time_millis
468.75
usercpu_time_millis_testing
0
usercpu_time_millis_testing
15.625
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
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
468.75
usercpu_time_millis_training
484.375
usercpu_time_millis_training
484.375
usercpu_time_millis_training
468.75
usercpu_time_millis_training
484.375
usercpu_time_millis_training
484.375
usercpu_time_millis_training
484.375
usercpu_time_millis_training
500
usercpu_time_millis_training
468.75
usercpu_time_millis_training
468.75
wall_clock_time_millis
475.7263660430908
wall_clock_time_millis
488.7223243713379
wall_clock_time_millis
486.7434501647949
wall_clock_time_millis
471.73213958740234
wall_clock_time_millis
477.7231216430664
wall_clock_time_millis
485.72230339050293
wall_clock_time_millis
474.7505187988281
wall_clock_time_millis
505.72991371154785
wall_clock_time_millis
456.7413330078125
wall_clock_time_millis
473.74701499938965
wall_clock_time_millis_testing
1.9991397857666016
wall_clock_time_millis_testing
1.9986629486083984
wall_clock_time_millis_testing
1.9984245300292969
wall_clock_time_millis_testing
1.9989013671875
wall_clock_time_millis_testing
2.9976367950439453
wall_clock_time_millis_testing
1.9996166229248047
wall_clock_time_millis_testing
1.9981861114501953
wall_clock_time_millis_testing
2.0227432250976562
wall_clock_time_millis_testing
2.0017623901367188
wall_clock_time_millis_testing
1.9991397857666016
wall_clock_time_millis_training
473.7272262573242
wall_clock_time_millis_training
486.7236614227295
wall_clock_time_millis_training
484.7450256347656
wall_clock_time_millis_training
469.73323822021484
wall_clock_time_millis_training
474.72548484802246
wall_clock_time_millis_training
483.7226867675781
wall_clock_time_millis_training
472.75233268737793
wall_clock_time_millis_training
503.7071704864502
wall_clock_time_millis_training
454.7395706176758
wall_clock_time_millis_training
471.74787521362305
weighted_recall
1 [1,1,1]
weighted_recall
1 [1,1,1]
weighted_recall
1 [1,1,1]
weighted_recall
0.9333333333333333 [1,0.8,1]
weighted_recall
1 [1,1,1]
weighted_recall
0.9333333333333333 [1,0.8,1]
weighted_recall
1 [1,1,1]
weighted_recall
0.9333333333333333 [1,1,0.8]
weighted_recall
0.9333333333333333 [1,0.8,1]
weighted_recall
1 [1,1,1]