10591525
32117
VAIBHAV JAISWAL
10101
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.
1464
blood-transfusion-service-center
https://www.openml.org/data/download/1586225/php0iVrYT
-1
22110656
description
https://api.openml.org/data/download/22110656/description.xml
-1
22110657
predictions
https://api.openml.org/data/download/22110657/predictions.arff
area_under_roc_curve
0.7593830080820027 [0.759383,0.759383]
average_cost
0
f_measure
0.7821548284444422 [0.880524,0.467153]
kappa
0.36051904248840594
kb_relative_information_score
0.15888716335015135
mean_absolute_error
0.29495699381999096
mean_prior_absolute_error
0.3630445632798566
weighted_recall
0.8048128342245989 [0.94386,0.359551]
number_of_instances
748 [570,178]
precision
0.787438622967313 [0.825153,0.666667]
predictive_accuracy
0.8048128342245989
prior_entropy
0.7916465694609683
relative_absolute_error
0.8124539620019604
root_mean_prior_squared_error
0.4258399633559147
root_mean_squared_error
0.3864405001624091
root_relative_squared_error
0.9074782392826394
total_cost
0
unweighted_recall
0.6517051054602799 [0.94386,0.359551]
area_under_roc_curve
0.7538986354775828 [0.753899,0.753899]
area_under_roc_curve
0.8542884990253411 [0.854288,0.854288]
area_under_roc_curve
0.7222222222222222 [0.722222,0.722222]
area_under_roc_curve
0.6983430799220274 [0.698343,0.698343]
area_under_roc_curve
0.8050682261208577 [0.805068,0.805068]
area_under_roc_curve
0.7470760233918129 [0.747076,0.747076]
area_under_roc_curve
0.7733918128654971 [0.773392,0.773392]
area_under_roc_curve
0.7733918128654971 [0.773392,0.773392]
area_under_roc_curve
0.7476780185758514 [0.747678,0.747678]
area_under_roc_curve
0.7549019607843137 [0.754902,0.754902]
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
0.7335831381733021 [0.852459,0.357143]
f_measure
0.7927868852459018 [0.885246,0.5]
f_measure
0.7438482384823847 [0.861789,0.37037]
f_measure
0.7993333333333333 [0.883333,0.533333]
f_measure
0.7849627791563275 [0.887097,0.461538]
f_measure
0.7648 [0.88,0.4]
f_measure
0.8223887587822014 [0.901639,0.571429]
f_measure
0.8280000000000001 [0.9,0.6]
f_measure
0.7768843223388677 [0.876033,0.444444]
f_measure
0.7682267633487145 [0.878049,0.4]
kappa
0.22413793103448282
kappa
0.3965517241379311
kappa
0.2504409171075837
kappa
0.42244224422442256
kappa
0.36823104693140796
kappa
0.3068391866913125
kappa
0.4827586206896551
kappa
0.504950495049505
kappa
0.3305186972255728
kappa
0.2965779467680606
kb_relative_information_score
0.12549291424249587
kb_relative_information_score
0.24241950136663695
kb_relative_information_score
0.09680930341998652
kb_relative_information_score
0.14781524346658045
kb_relative_information_score
0.2441846530349886
kb_relative_information_score
0.14722078167925734
kb_relative_information_score
0.17569303569249078
kb_relative_information_score
0.16763694497429746
kb_relative_information_score
0.09861075227007948
kb_relative_information_score
0.14025319777589138
mean_absolute_error
0.3058071489152257
mean_absolute_error
0.2730228812593091
mean_absolute_error
0.3139528518600055
mean_absolute_error
0.30264900375934256
mean_absolute_error
0.274694239918322
mean_absolute_error
0.2977731698942687
mean_absolute_error
0.28903675610534013
mean_absolute_error
0.29796882518184004
mean_absolute_error
0.29921847975420274
mean_absolute_error
0.295510785250246
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.35873873873873896
mean_prior_absolute_error
0.35873873873873896
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
74 [57,17]
number_of_instances
74 [57,17]
precision
0.728 [0.8,0.5]
precision
0.7993846153846155 [0.830769,0.7]
precision
0.7436363636363637 [0.80303,0.555556]
precision
0.7993650793650794 [0.84127,0.666667]
precision
0.8038805970149254 [0.820896,0.75]
precision
0.7861344537815126 [0.808824,0.714286]
precision
0.835076923076923 [0.846154,0.8]
precision
0.8314285714285714 [0.857143,0.75]
precision
0.7757179054054054 [0.828125,0.6]
precision
0.7738022113022114 [0.818182,0.625]
predictive_accuracy
0.76
predictive_accuracy
0.8133333333333332
predictive_accuracy
0.7733333333333333
predictive_accuracy
0.8133333333333332
predictive_accuracy
0.8133333333333332
predictive_accuracy
0.8
predictive_accuracy
0.84
predictive_accuracy
0.84
predictive_accuracy
0.7972972972972973
predictive_accuracy
0.7972972972972973
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7778597106646706
prior_entropy
0.7778597106646706
relative_absolute_error
0.8398834103062076
relative_absolute_error
0.7498431263530165
relative_absolute_error
0.8622551592756849
relative_absolute_error
0.8312097290885704
relative_absolute_error
0.7544334258779163
relative_absolute_error
0.8178185052757486
relative_absolute_error
0.7938243997326973
relative_absolute_error
0.8183558623347733
relative_absolute_error
0.8340846622982542
relative_absolute_error
0.8237493009235882
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4207539065176338
root_mean_prior_squared_error
0.4207539065176338
root_mean_squared_error
0.40696695262177485
root_mean_squared_error
0.36273869077514886
root_mean_squared_error
0.40779881531529616
root_mean_squared_error
0.40456672646998076
root_mean_squared_error
0.3689797771264994
root_mean_squared_error
0.3894602861102928
root_mean_squared_error
0.3719706332842469
root_mean_squared_error
0.37414940812920333
root_mean_squared_error
0.39192118853462093
root_mean_squared_error
0.38265858221967086
root_relative_squared_error
0.9528940402986602
root_relative_squared_error
0.849335638676829
root_relative_squared_error
0.9548418077964794
root_relative_squared_error
0.9472740232906964
root_relative_squared_error
0.8639488497763511
root_relative_squared_error
0.9119030014027054
root_relative_squared_error
0.8709517992535702
root_relative_squared_error
0.8760532984085673
root_relative_squared_error
0.9314736772816998
root_relative_squared_error
0.9094593687477354
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
0.5950292397660819 [0.912281,0.277778]
unweighted_recall
0.6681286549707602 [0.947368,0.388889]
unweighted_recall
0.6038011695906433 [0.929825,0.277778]
unweighted_recall
0.6871345029239766 [0.929825,0.444444]
unweighted_recall
0.6491228070175439 [0.964912,0.333333]
unweighted_recall
0.6213450292397661 [0.964912,0.277778]
unweighted_recall
0.7046783625730995 [0.964912,0.444444]
unweighted_recall
0.7236842105263157 [0.947368,0.5]
unweighted_recall
0.6413828689370485 [0.929825,0.352941]
unweighted_recall
0.6207430340557275 [0.947368,0.294118]
usercpu_time_millis
781.25
usercpu_time_millis
875
usercpu_time_millis
1000
usercpu_time_millis
1250
usercpu_time_millis
859.375
usercpu_time_millis
953.125
usercpu_time_millis
921.875
usercpu_time_millis
859.375
usercpu_time_millis
671.875
usercpu_time_millis
421.875
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
15.625
usercpu_time_millis_training
781.25
usercpu_time_millis_training
875
usercpu_time_millis_training
1000
usercpu_time_millis_training
1250
usercpu_time_millis_training
859.375
usercpu_time_millis_training
953.125
usercpu_time_millis_training
921.875
usercpu_time_millis_training
859.375
usercpu_time_millis_training
671.875
usercpu_time_millis_training
406.25
wall_clock_time_millis
831.7475318908691
wall_clock_time_millis
866.5263652801514
wall_clock_time_millis
966.4463996887207
wall_clock_time_millis
1203.2909393310547
wall_clock_time_millis
852.5056838989258
wall_clock_time_millis
922.3284721374512
wall_clock_time_millis
885.2784633636475
wall_clock_time_millis
867.7964210510254
wall_clock_time_millis
695.7309246063232
wall_clock_time_millis
407.7475070953369
wall_clock_time_millis_testing
3.001689910888672
wall_clock_time_millis_testing
2.998828887939453
wall_clock_time_millis_testing
2.0020008087158203
wall_clock_time_millis_testing
2.001047134399414
wall_clock_time_millis_testing
2.9985904693603516
wall_clock_time_millis_testing
2.999544143676758
wall_clock_time_millis_testing
1.995086669921875
wall_clock_time_millis_testing
2.9985904693603516
wall_clock_time_millis_testing
1.9981861114501953
wall_clock_time_millis_testing
2.9990673065185547
wall_clock_time_millis_training
828.7458419799805
wall_clock_time_millis_training
863.5275363922119
wall_clock_time_millis_training
964.4443988800049
wall_clock_time_millis_training
1201.2898921966553
wall_clock_time_millis_training
849.5070934295654
wall_clock_time_millis_training
919.3289279937744
wall_clock_time_millis_training
883.2833766937256
wall_clock_time_millis_training
864.797830581665
wall_clock_time_millis_training
693.732738494873
wall_clock_time_millis_training
404.74843978881836
weighted_recall
0.76 [0.912281,0.277778]
weighted_recall
0.8133333333333334 [0.947368,0.388889]
weighted_recall
0.7733333333333333 [0.929825,0.277778]
weighted_recall
0.8133333333333334 [0.929825,0.444444]
weighted_recall
0.8133333333333334 [0.964912,0.333333]
weighted_recall
0.8 [0.964912,0.277778]
weighted_recall
0.84 [0.964912,0.444444]
weighted_recall
0.84 [0.947368,0.5]
weighted_recall
0.7972972972972973 [0.929825,0.352941]
weighted_recall
0.7972972972972973 [0.947368,0.294118]