10591285
32117
VAIBHAV JAISWAL
37
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.
37
diabetes
https://www.openml.org/data/download/37/dataset_37_diabetes.arff
-1
22110176
description
https://api.openml.org/data/download/22110176/description.xml
-1
22110177
predictions
https://api.openml.org/data/download/22110177/predictions.arff
area_under_roc_curve
0.7667164179104478 [0.766716,0.766716]
average_cost
0
f_measure
0.722962512025012 [0.789683,0.598485]
kappa
0.3882409522664423
kb_relative_information_score
0.3353221492697758
mean_absolute_error
0.29368795504431877
mean_prior_absolute_error
0.4544913419913401
weighted_recall
0.7239583333333334 [0.796,0.589552]
number_of_instances
768 [500,268]
precision
0.7221273722996164 [0.783465,0.607692]
predictive_accuracy
0.7239583333333333
prior_entropy
0.9331348051619819
relative_absolute_error
0.6461904285294717
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.47454229507274176
root_relative_squared_error
0.9955970476686204
total_cost
0
unweighted_recall
0.6927761194029851 [0.796,0.589552]
area_under_roc_curve
0.8570370370370372 [0.857037,0.857037]
area_under_roc_curve
0.6711111111111112 [0.671111,0.671111]
area_under_roc_curve
0.7844444444444445 [0.784444,0.784444]
area_under_roc_curve
0.8 [0.8,0.8]
area_under_roc_curve
0.6703703703703704 [0.67037,0.67037]
area_under_roc_curve
0.7777777777777778 [0.777778,0.777778]
area_under_roc_curve
0.731851851851852 [0.731852,0.731852]
area_under_roc_curve
0.8503703703703703 [0.85037,0.85037]
area_under_roc_curve
0.7553846153846154 [0.755385,0.755385]
area_under_roc_curve
0.7923076923076922 [0.792308,0.792308]
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
0.7937980386959977 [0.836735,0.714286]
f_measure
0.6507902474883608 [0.754717,0.458333]
f_measure
0.7559244878832507 [0.804124,0.666667]
f_measure
0.7313771134525852 [0.811321,0.583333]
f_measure
0.6531558512025142 [0.721649,0.526316]
f_measure
0.7142857142857143 [0.78,0.592593]
f_measure
0.6738690041510889 [0.752475,0.528302]
f_measure
0.7348651348651349 [0.807692,0.6]
f_measure
0.736842105263158 [0.8,0.615385]
f_measure
0.7772962996398944 [0.828283,0.679245]
kappa
0.5513474144209761
kappa
0.21857923497267753
kappa
0.4716504153123872
kappa
0.3989071038251366
kappa
0.24918743228602383
kappa
0.37259259259259264
kappa
0.28091146806126266
kappa
0.4095092024539878
kappa
0.41538461538461535
kappa
0.5076219512195121
kb_relative_information_score
0.479378933095803
kb_relative_information_score
0.2313923762000526
kb_relative_information_score
0.40490743565050935
kb_relative_information_score
0.3715987326418564
kb_relative_information_score
0.1438476141192316
kb_relative_information_score
0.31050523262063895
kb_relative_information_score
0.24638363774294267
kb_relative_information_score
0.41436970082448255
kb_relative_information_score
0.341240794111904
kb_relative_information_score
0.411324107014261
mean_absolute_error
0.2313838038787689
mean_absolute_error
0.3369451627549882
mean_absolute_error
0.26615004083255667
mean_absolute_error
0.2804534122591852
mean_absolute_error
0.3772459868195924
mean_absolute_error
0.3066406952149394
mean_absolute_error
0.3290862941657273
mean_absolute_error
0.2546208194667194
mean_absolute_error
0.2886946221336527
mean_absolute_error
0.2652242053507697
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.45242652084757423
mean_prior_absolute_error
0.45242652084757423
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
76 [50,26]
number_of_instances
76 [50,26]
precision
0.7964808180325421 [0.854167,0.689655]
precision
0.6474953617810761 [0.714286,0.52381]
precision
0.7609008013263333 [0.829787,0.633333]
precision
0.7323747680890539 [0.767857,0.666667]
precision
0.6588836695219673 [0.744681,0.5]
precision
0.7142857142857143 [0.78,0.592593]
precision
0.6726410844057903 [0.745098,0.538462]
precision
0.7337348641696468 [0.777778,0.652174]
precision
0.7368421052631579 [0.8,0.615385]
precision
0.7785535266738275 [0.836735,0.666667]
predictive_accuracy
0.7922077922077922
predictive_accuracy
0.6623376623376623
predictive_accuracy
0.7532467532467533
predictive_accuracy
0.7402597402597402
predictive_accuracy
0.6493506493506493
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.6753246753246753
predictive_accuracy
0.7402597402597402
predictive_accuracy
0.736842105263158
predictive_accuracy
0.7763157894736843
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9269862002370954
prior_entropy
0.9269862002370954
relative_absolute_error
0.5085348901646658
relative_absolute_error
0.7405374467043491
relative_absolute_error
0.5849440605316478
relative_absolute_error
0.6163799834246606
relative_absolute_error
0.8291105222424142
relative_absolute_error
0.6739343447860672
relative_absolute_error
0.7232652400595302
relative_absolute_error
0.5596051594388469
relative_absolute_error
0.6381027831719794
relative_absolute_error
0.5862260347910189
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4744699650121647
root_mean_prior_squared_error
0.4744699650121647
root_mean_squared_error
0.4273994710434018
root_mean_squared_error
0.5148461357592632
root_mean_squared_error
0.44724248976812747
root_mean_squared_error
0.4433578452189449
root_mean_squared_error
0.5480522794357012
root_mean_squared_error
0.46119109295814464
root_mean_squared_error
0.5262749799487585
root_mean_squared_error
0.4458721459517242
root_mean_squared_error
0.47756043764926137
root_mean_squared_error
0.4361983447586208
root_relative_squared_error
0.8956868800936184
root_relative_squared_error
1.0789459517595934
root_relative_squared_error
0.9372712355674321
root_relative_squared_error
0.9291303149714478
root_relative_squared_error
1.1485349644855098
root_relative_squared_error
0.9665028601233309
root_relative_squared_error
1.102897001044176
root_relative_squared_error
0.9343994515322919
root_relative_squared_error
1.0065135263873182
root_relative_squared_error
0.9193381603141882
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
0.7803703703703704 [0.82,0.740741]
unweighted_recall
0.6037037037037037 [0.8,0.407407]
unweighted_recall
0.7418518518518519 [0.78,0.703704]
unweighted_recall
0.6892592592592592 [0.86,0.518519]
unweighted_recall
0.6277777777777778 [0.7,0.555556]
unweighted_recall
0.6862962962962963 [0.78,0.592593]
unweighted_recall
0.6392592592592592 [0.76,0.518519]
unweighted_recall
0.6977777777777778 [0.84,0.555556]
unweighted_recall
0.7076923076923077 [0.8,0.615385]
unweighted_recall
0.7561538461538462 [0.82,0.692308]
usercpu_time_millis
16140.625
usercpu_time_millis
11781.25
usercpu_time_millis
14218.75
usercpu_time_millis
11828.125
usercpu_time_millis
14406.25
usercpu_time_millis
15609.375
usercpu_time_millis
14625
usercpu_time_millis
13734.375
usercpu_time_millis
13484.375
usercpu_time_millis
11562.5
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_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
16140.625
usercpu_time_millis_training
11781.25
usercpu_time_millis_training
14218.75
usercpu_time_millis_training
11828.125
usercpu_time_millis_training
14406.25
usercpu_time_millis_training
15593.75
usercpu_time_millis_training
14625
usercpu_time_millis_training
13734.375
usercpu_time_millis_training
13484.375
usercpu_time_millis_training
11562.5
wall_clock_time_millis
15741.796731948853
wall_clock_time_millis
11488.569498062134
wall_clock_time_millis
13873.39973449707
wall_clock_time_millis
11798.36893081665
wall_clock_time_millis
14057.153701782227
wall_clock_time_millis
15662.670612335205
wall_clock_time_millis
14502.41756439209
wall_clock_time_millis
13680.301666259766
wall_clock_time_millis
13321.422100067139
wall_clock_time_millis
11439.30435180664
wall_clock_time_millis_testing
2.999544143676758
wall_clock_time_millis_testing
2.9973983764648438
wall_clock_time_millis_testing
3.021717071533203
wall_clock_time_millis_testing
2.9985904693603516
wall_clock_time_millis_testing
1.9953250885009766
wall_clock_time_millis_testing
3.996610641479492
wall_clock_time_millis_testing
1.9984245300292969
wall_clock_time_millis_testing
1.9986629486083984
wall_clock_time_millis_testing
2.9981136322021484
wall_clock_time_millis_testing
2.021312713623047
wall_clock_time_millis_training
15738.797187805176
wall_clock_time_millis_training
11485.572099685669
wall_clock_time_millis_training
13870.378017425537
wall_clock_time_millis_training
11795.37034034729
wall_clock_time_millis_training
14055.158376693726
wall_clock_time_millis_training
15658.674001693726
wall_clock_time_millis_training
14500.41913986206
wall_clock_time_millis_training
13678.303003311157
wall_clock_time_millis_training
13318.423986434937
wall_clock_time_millis_training
11437.283039093018
weighted_recall
0.7922077922077922 [0.82,0.740741]
weighted_recall
0.6623376623376623 [0.8,0.407407]
weighted_recall
0.7532467532467533 [0.78,0.703704]
weighted_recall
0.7402597402597403 [0.86,0.518519]
weighted_recall
0.6493506493506493 [0.7,0.555556]
weighted_recall
0.7142857142857143 [0.78,0.592593]
weighted_recall
0.6753246753246753 [0.76,0.518519]
weighted_recall
0.7402597402597403 [0.84,0.555556]
weighted_recall
0.7368421052631579 [0.8,0.615385]
weighted_recall
0.7763157894736842 [0.82,0.692308]