10590785
32117
VAIBHAV JAISWAL
37
Supervised Classification
19165
sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.svm._classes.SVC)(1)
8304357
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
19165
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"}}]
19165
verbose
false
19165
C
1.0
19166
break_ties
false
19166
cache_size
200
19166
class_weight
null
19166
coef0
0.0
19166
decision_function_shape
"ovr"
19166
degree
3
19166
gamma
"scale"
19166
kernel
"rbf"
19166
max_iter
-1
19166
probability
false
19166
random_state
37534
19166
shrinking
true
19166
tol
0.001
19166
verbose
false
19166
openml-python
Sklearn_1.0.2.
37
diabetes
https://www.openml.org/data/download/37/dataset_37_diabetes.arff
-1
22109166
description
https://api.openml.org/data/download/22109166/description.xml
-1
22109167
predictions
https://api.openml.org/data/download/22109167/predictions.arff
area_under_roc_curve
0.7131194029850745 [0.713119,0.713119]
average_cost
0
f_measure
0.7539660662686177 [0.826868,0.617954]
kappa
0.44836248312242916
kb_relative_information_score
0.45422832766667826
mean_absolute_error
0.23828125
mean_prior_absolute_error
0.4544913419913401
weighted_recall
0.76171875 [0.874,0.552239]
number_of_instances
768 [500,268]
precision
0.7555483261293151 [0.78456,0.701422]
predictive_accuracy
0.76171875
prior_entropy
0.9331348051619819
relative_absolute_error
0.5242811644243384
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.4881406047441659
root_relative_squared_error
1.0241265109066193
total_cost
0
unweighted_recall
0.7131194029850747 [0.874,0.552239]
area_under_roc_curve
0.7933333333333333 [0.793333,0.793333]
area_under_roc_curve
0.6222222222222222 [0.622222,0.622222]
area_under_roc_curve
0.7348148148148148 [0.734815,0.734815]
area_under_roc_curve
0.6366666666666667 [0.636667,0.636667]
area_under_roc_curve
0.6977777777777778 [0.697778,0.697778]
area_under_roc_curve
0.7918518518518518 [0.791852,0.791852]
area_under_roc_curve
0.7177777777777776 [0.717778,0.717778]
area_under_roc_curve
0.7677777777777778 [0.767778,0.767778]
area_under_roc_curve
0.6992307692307692 [0.699231,0.699231]
area_under_roc_curve
0.6692307692307692 [0.669231,0.669231]
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
0.8265747857584592 [0.87619,0.734694]
f_measure
0.6664899726124217 [0.761905,0.489796]
f_measure
0.7640300875594993 [0.823529,0.653846]
f_measure
0.6926117360899968 [0.817391,0.461538]
f_measure
0.7348651348651349 [0.807692,0.6]
f_measure
0.8164678458796105 [0.862745,0.730769]
f_measure
0.7582394021073267 [0.830189,0.625]
f_measure
0.8179396551489576 [0.882883,0.697674]
f_measure
0.7426545086119554 [0.819048,0.595745]
f_measure
0.7075748194014448 [0.784314,0.56]
kappa
0.6127659574468087
kappa
0.2553191489361703
kappa
0.4777694046721929
kappa
0.3133757961783441
kappa
0.4095092024539878
kappa
0.5938206480783723
kappa
0.459016393442623
kappa
0.5909276665304456
kappa
0.41774193548387095
kappa
0.3448275862068965
kb_relative_information_score
0.6139280939002144
kb_relative_information_score
0.25755402673118133
kb_relative_information_score
0.4654388992464511
kb_relative_information_score
0.3763453824541927
kb_relative_information_score
0.40604322138494553
kb_relative_information_score
0.5842302549694616
kb_relative_information_score
0.4654388992464511
kb_relative_information_score
0.6139280939002145
kb_relative_information_score
0.42358901489956663
kb_relative_information_score
0.33257675409423476
mean_absolute_error
0.16883116883116883
mean_absolute_error
0.3246753246753247
mean_absolute_error
0.23376623376623376
mean_absolute_error
0.2727272727272727
mean_absolute_error
0.2597402597402597
mean_absolute_error
0.18181818181818182
mean_absolute_error
0.23376623376623376
mean_absolute_error
0.16883116883116883
mean_absolute_error
0.25
mean_absolute_error
0.2894736842105263
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
0.8299881936245572 [0.836364,0.818182]
precision
0.6635182998819362 [0.727273,0.545455]
precision
0.7629170829170829 [0.807692,0.68]
precision
0.7325174825174825 [0.723077,0.75]
precision
0.7337348641696468 [0.777778,0.652174]
precision
0.8159440559440558 [0.846154,0.76]
precision
0.7606679035250463 [0.785714,0.714286]
precision
0.8503433042367468 [0.803279,0.9375]
precision
0.7424242424242424 [0.781818,0.666667]
precision
0.7056342780026992 [0.769231,0.583333]
predictive_accuracy
0.8311688311688311
predictive_accuracy
0.6753246753246753
predictive_accuracy
0.7662337662337663
predictive_accuracy
0.7272727272727273
predictive_accuracy
0.7402597402597402
predictive_accuracy
0.8181818181818181
predictive_accuracy
0.7662337662337663
predictive_accuracy
0.8311688311688311
predictive_accuracy
0.75
predictive_accuracy
0.7105263157894737
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
0.3710568261852685
relative_absolute_error
0.7135708195870546
relative_absolute_error
0.5137709901026793
relative_absolute_error
0.599399488453126
relative_absolute_error
0.5708566556696436
relative_absolute_error
0.3995996589687507
relative_absolute_error
0.5137709901026793
relative_absolute_error
0.3710568261852685
relative_absolute_error
0.5525759178123575
relative_absolute_error
0.6398247469406244
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
0.4108907018066591
root_mean_squared_error
0.5698028822981898
root_mean_squared_error
0.48349377841522817
root_mean_squared_error
0.5222329678670935
root_mean_squared_error
0.5096471914376255
root_mean_squared_error
0.4264014327112209
root_mean_squared_error
0.48349377841522817
root_mean_squared_error
0.4108907018066591
root_mean_squared_error
0.5
root_mean_squared_error
0.5380275868489703
root_relative_squared_error
0.8610900005613504
root_relative_squared_error
1.1941169806974095
root_relative_squared_error
1.0132418574973725
root_relative_squared_error
1.0944262905356
root_relative_squared_error
1.0680506967704846
root_relative_squared_error
0.8935953242997315
root_relative_squared_error
1.0132418574973725
root_relative_squared_error
0.8610900005613504
root_relative_squared_error
1.0538074838671416
root_relative_squared_error
1.133954995096847
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
0.7933333333333333 [0.92,0.666667]
unweighted_recall
0.6222222222222222 [0.8,0.444444]
unweighted_recall
0.7348148148148148 [0.84,0.62963]
unweighted_recall
0.6366666666666666 [0.94,0.333333]
unweighted_recall
0.6977777777777778 [0.84,0.555556]
unweighted_recall
0.7918518518518518 [0.88,0.703704]
unweighted_recall
0.7177777777777778 [0.88,0.555556]
unweighted_recall
0.7677777777777778 [0.98,0.555556]
unweighted_recall
0.6992307692307692 [0.86,0.538462]
unweighted_recall
0.6692307692307693 [0.8,0.538462]
usercpu_time_millis
31.25
usercpu_time_millis
31.25
usercpu_time_millis
31.25
usercpu_time_millis
15.625
usercpu_time_millis
31.25
usercpu_time_millis
31.25
usercpu_time_millis
15.625
usercpu_time_millis
31.25
usercpu_time_millis
31.25
usercpu_time_millis
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
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
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
31.25
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
31.25
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
wall_clock_time_millis
29.003620147705078
wall_clock_time_millis
27.959585189819336
wall_clock_time_millis
28.001070022583008
wall_clock_time_millis
27.96173095703125
wall_clock_time_millis
32.97781944274902
wall_clock_time_millis
28.005123138427734
wall_clock_time_millis
27.979612350463867
wall_clock_time_millis
29.00099754333496
wall_clock_time_millis
30.981063842773438
wall_clock_time_millis
27.96196937561035
wall_clock_time_millis_testing
5.998373031616211
wall_clock_time_millis_testing
5.996227264404297
wall_clock_time_millis_testing
5.9967041015625
wall_clock_time_millis_testing
6.995916366577148
wall_clock_time_millis_testing
6.995677947998047
wall_clock_time_millis_testing
5.996942520141602
wall_clock_time_millis_testing
6.993770599365234
wall_clock_time_millis_testing
7.995843887329102
wall_clock_time_millis_testing
9.015321731567383
wall_clock_time_millis_testing
6.974935531616211
wall_clock_time_millis_training
23.005247116088867
wall_clock_time_millis_training
21.96335792541504
wall_clock_time_millis_training
22.004365921020508
wall_clock_time_millis_training
20.9658145904541
wall_clock_time_millis_training
25.982141494750977
wall_clock_time_millis_training
22.008180618286133
wall_clock_time_millis_training
20.985841751098633
wall_clock_time_millis_training
21.00515365600586
wall_clock_time_millis_training
21.965742111206055
wall_clock_time_millis_training
20.98703384399414
weighted_recall
0.8311688311688312 [0.92,0.666667]
weighted_recall
0.6753246753246753 [0.8,0.444444]
weighted_recall
0.7662337662337663 [0.84,0.62963]
weighted_recall
0.7272727272727273 [0.94,0.333333]
weighted_recall
0.7402597402597403 [0.84,0.555556]
weighted_recall
0.8181818181818182 [0.88,0.703704]
weighted_recall
0.7662337662337663 [0.88,0.555556]
weighted_recall
0.8311688311688312 [0.98,0.555556]
weighted_recall
0.75 [0.86,0.538462]
weighted_recall
0.7105263157894737 [0.8,0.538462]