10591309
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)
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.
61
iris
https://www.openml.org/data/download/61/dataset_61_iris.arff
-1
22110224
description
https://api.openml.org/data/download/22110224/description.xml
-1
22110225
predictions
https://api.openml.org/data/download/22110225/predictions.arff
area_under_roc_curve
0.9979999999999999 [1,0.9968,0.9972]
average_cost
0
f_measure
0.9667260843731431 [0.989899,0.949495,0.960784]
kappa
0.9499999999999998
kb_relative_information_score
0.9333934926014165
mean_absolute_error
0.037042495909056374
mean_prior_absolute_error
0.44444444444444337
weighted_recall
0.9666666666666667 [0.98,0.94,0.98]
number_of_instances
150 [50,50,50]
precision
0.9671637885923599 [1,0.959184,0.942308]
predictive_accuracy
0.9666666666666667
prior_entropy
1.5849625007211599
relative_absolute_error
0.08334561579537704
root_mean_prior_squared_error
0.4714045207910311
root_mean_squared_error
0.12072222224569029
root_relative_squared_error
0.25609050596951155
total_cost
0
unweighted_recall
0.9666666666666667 [0.98,0.94,0.98]
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
0.9733333333333334 [1,0.96,0.96]
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]
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
0.9326599326599326 [0.888889,0.909091,1]
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
0.9
kappa
0.9
kappa
1
kappa
0.9
kappa
1
kappa
0.9
kappa
0.9
kappa
1
kb_relative_information_score
0.9513180540116211
kb_relative_information_score
0.9766929794828397
kb_relative_information_score
0.9137344145952685
kb_relative_information_score
0.9349830049372474
kb_relative_information_score
0.9715671918205742
kb_relative_information_score
0.8517949354362665
kb_relative_information_score
0.9847941979602762
kb_relative_information_score
0.9010853079912335
kb_relative_information_score
0.8788712179622739
kb_relative_information_score
0.9690936218165862
mean_absolute_error
0.027750349261143982
mean_absolute_error
0.016236155954036956
mean_absolute_error
0.047106048127792996
mean_absolute_error
0.031669371085158514
mean_absolute_error
0.019226942696668324
mean_absolute_error
0.07892109497671253
mean_absolute_error
0.010900724150933497
mean_absolute_error
0.050528922286645676
mean_absolute_error
0.06663594882481333
mean_absolute_error
0.02144940172665814
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
0.9444444444444445 [1,0.833333,1]
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
0.9333333333333332
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
0.062438285837573944
relative_absolute_error
0.03653135089658313
relative_absolute_error
0.10598860828753422
relative_absolute_error
0.07125608494160664
relative_absolute_error
0.04326062106750372
relative_absolute_error
0.17757246369760313
relative_absolute_error
0.024526629339600356
relative_absolute_error
0.11369007514495273
relative_absolute_error
0.14993088485582995
relative_absolute_error
0.048261153884980805
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
0.10243376881912145
root_mean_squared_error
0.038741168946775414
root_mean_squared_error
0.14508741069761594
root_mean_squared_error
0.13218170833839285
root_mean_squared_error
0.05216331487324739
root_mean_squared_error
0.20105632414087612
root_mean_squared_error
0.020544198915020285
root_mean_squared_error
0.1551289284826364
root_mean_squared_error
0.15996167190099808
root_mean_squared_error
0.04475702824285623
root_relative_squared_error
0.21729483766348767
root_relative_squared_error
0.08218242982007576
root_relative_squared_error
0.30777687590724556
root_relative_squared_error
0.28039974694469993
root_relative_squared_error
0.11065510102812695
root_relative_squared_error
0.42650487060136216
root_relative_squared_error
0.04358082710056846
root_relative_squared_error
0.3290781518648254
root_relative_squared_error
0.3393299487934
root_relative_squared_error
0.09494399452884439
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
0.9333333333333332 [0.8,1,1]
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
531.25
usercpu_time_millis
453.125
usercpu_time_millis
453.125
usercpu_time_millis
421.875
usercpu_time_millis
468.75
usercpu_time_millis
468.75
usercpu_time_millis
468.75
usercpu_time_millis
546.875
usercpu_time_millis
609.375
usercpu_time_millis
609.375
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_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
531.25
usercpu_time_millis_training
453.125
usercpu_time_millis_training
453.125
usercpu_time_millis_training
421.875
usercpu_time_millis_training
468.75
usercpu_time_millis_training
468.75
usercpu_time_millis_training
468.75
usercpu_time_millis_training
546.875
usercpu_time_millis_training
609.375
usercpu_time_millis_training
609.375
wall_clock_time_millis
523.6773490905762
wall_clock_time_millis
465.787410736084
wall_clock_time_millis
449.74517822265625
wall_clock_time_millis
435.732364654541
wall_clock_time_millis
477.72693634033203
wall_clock_time_millis
475.7044315338135
wall_clock_time_millis
471.729040145874
wall_clock_time_millis
545.6891059875488
wall_clock_time_millis
605.6528091430664
wall_clock_time_millis
599.6532440185547
wall_clock_time_millis_testing
1.9762516021728516
wall_clock_time_millis_testing
1.9998550415039062
wall_clock_time_millis_testing
1.9986629486083984
wall_clock_time_millis_testing
1.9977092742919922
wall_clock_time_millis_testing
1.9981861114501953
wall_clock_time_millis_testing
1.9981861114501953
wall_clock_time_millis_testing
1.9984245300292969
wall_clock_time_millis_testing
2.999544143676758
wall_clock_time_millis_testing
3.9970874786376953
wall_clock_time_millis_testing
1.9986629486083984
wall_clock_time_millis_training
521.7010974884033
wall_clock_time_millis_training
463.7875556945801
wall_clock_time_millis_training
447.74651527404785
wall_clock_time_millis_training
433.734655380249
wall_clock_time_millis_training
475.72875022888184
wall_clock_time_millis_training
473.7062454223633
wall_clock_time_millis_training
469.7306156158447
wall_clock_time_millis_training
542.6895618438721
wall_clock_time_millis_training
601.6557216644287
wall_clock_time_millis_training
597.6545810699463
weighted_recall
1 [1,1,1]
weighted_recall
1 [1,1,1]
weighted_recall
0.9333333333333333 [0.8,1,1]
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]