10370476
8323
Heinrich Peters
3918
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8225823
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
copy
true
13294
with_mean
true
13294
with_std
true
13294
C
76.79310542394987
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.6748640265730261
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.38325317111537943
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
62048
13389
shrinking
true
13389
tol
0.001
13389
verbose
false
13389
memory
null
16345
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}]
16345
verbose
false
16345
openml-python
Sklearn_0.21.2.
1068
pc1
https://www.openml.org/data/download/53951/pc1.arff
-1
21662657
description
https://api.openml.org/data/download/21662657/description.xml
-1
21662658
predictions
https://api.openml.org/data/download/21662658/predictions.arff
area_under_roc_curve
0.527433806503574 [0.527434,0.527434]
average_cost
0
f_measure
0.8795019473169234 [0.93617,0.12]
kappa
0.05621889264254545
kb_relative_information_score
-0.2881476506360463
mean_absolute_error
0.11902614968440037
mean_prior_absolute_error
0.12988972477049396
number_of_instances
1109 [1032,77]
precision
0.8780484210527321 [0.934363,0.123288]
predictive_accuracy
0.8809738503155997
prior_entropy
0.36380676688852276
recall
0.8809738503155996 [0.937984,0.116883]
relative_absolute_error
0.9163630910351934
root_mean_prior_squared_error
0.25418837468358885
root_mean_squared_error
0.34500166620525236
root_relative_squared_error
1.3572676824213812
total_cost
0
area_under_roc_curve
0.6332417582417583 [0.633242,0.633242]
area_under_roc_curve
0.4423076923076923 [0.442308,0.442308]
area_under_roc_curve
0.533373786407767 [0.533374,0.533374]
area_under_roc_curve
0.46116504854368934 [0.461165,0.461165]
area_under_roc_curve
0.47572815533980584 [0.475728,0.475728]
area_under_roc_curve
0.6055825242718448 [0.605583,0.605583]
area_under_roc_curve
0.5236650485436893 [0.523665,0.523665]
area_under_roc_curve
0.48058252427184467 [0.480583,0.480583]
area_under_roc_curve
0.4660194174757281 [0.466019,0.466019]
area_under_roc_curve
0.6754507628294035 [0.675451,0.675451]
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
0.9287857439516207 [0.966825,0.363636]
f_measure
0.8492433320019528 [0.906404,0]
f_measure
0.8792618705662184 [0.937198,0.133333]
f_measure
0.8558558558558559 [0.92233,0]
f_measure
0.8702099228415019 [0.937799,0]
f_measure
0.903908028908029 [0.951923,0.285714]
f_measure
0.8685098297723834 [0.926829,0.117647]
f_measure
0.8749034749034749 [0.942857,0]
f_measure
0.8606867737302519 [0.927536,0]
f_measure
0.9019501950195019 [0.940594,0.333333]
kappa
0.33304721030042866
kappa
-0.08655332302936684
kappa
0.07083065035415313
kappa
-0.07766990291262084
kappa
-0.05869405722670645
kappa
0.23868312757201662
kappa
0.044750430292598994
kappa
-0.050473186119873475
kappa
-0.07211848036059194
kappa
0.2771084337349394
kb_relative_information_score
0.26986605938959674
kb_relative_information_score
-0.9817921245139515
kb_relative_information_score
-0.23410660582496345
kb_relative_information_score
-0.5189004379384153
kb_relative_information_score
-0.23410660582496312
kb_relative_information_score
0.05068722628848972
kb_relative_information_score
-0.4239691605672651
kb_relative_information_score
-0.13917532845381178
kb_relative_information_score
-0.42396916056726475
kb_relative_information_score
-0.25515016771492294
mean_absolute_error
0.06306306306306306
mean_absolute_error
0.17117117117117117
mean_absolute_error
0.11711711711711711
mean_absolute_error
0.14414414414414414
mean_absolute_error
0.11711711711711711
mean_absolute_error
0.09009009009009009
mean_absolute_error
0.13513513513513514
mean_absolute_error
0.10810810810810811
mean_absolute_error
0.13513513513513514
mean_absolute_error
0.10909090909090909
mean_prior_absolute_error
0.12441514421712434
mean_prior_absolute_error
0.12441514421712434
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1249079453399885
number_of_instances
111 [104,7]
number_of_instances
111 [104,7]
number_of_instances
111 [103,8]
number_of_instances
111 [103,8]
number_of_instances
111 [103,8]
number_of_instances
111 [103,8]
number_of_instances
111 [103,8]
number_of_instances
111 [103,8]
number_of_instances
111 [103,8]
number_of_instances
110 [103,7]
precision
0.9246863686116022 [0.953271,0.5]
precision
0.8706888706888707 [0.929293,0]
precision
0.8757672507672507 [0.932692,0.142857]
precision
0.8558558558558559 [0.92233,0]
precision
0.8578956314805372 [0.924528,0]
precision
0.898927498927499 [0.942857,0.333333]
precision
0.8722546075487252 [0.931373,0.111111]
precision
0.8585501389239707 [0.925234,0]
precision
0.8565488565488566 [0.923077,0]
precision
0.9158861340679522 [0.959596,0.272727]
predictive_accuracy
0.9369369369369369
predictive_accuracy
0.8288288288288288
predictive_accuracy
0.8828828828828829
predictive_accuracy
0.8558558558558559
predictive_accuracy
0.8828828828828829
predictive_accuracy
0.9099099099099099
predictive_accuracy
0.8648648648648648
predictive_accuracy
0.8918918918918919
predictive_accuracy
0.8648648648648648
predictive_accuracy
0.890909090909091
prior_entropy
0.3400686187404258
prior_entropy
0.3400686187404258
prior_entropy
0.37364719819991066
prior_entropy
0.37364719819991066
prior_entropy
0.37364719819991066
prior_entropy
0.37364719819991066
prior_entropy
0.37364719819991066
prior_entropy
0.37364719819991066
prior_entropy
0.37364719819991066
prior_entropy
0.3422054374333021
recall
0.9369369369369369 [0.980769,0.285714]
recall
0.8288288288288288 [0.884615,0]
recall
0.8828828828828829 [0.941748,0.125]
recall
0.8558558558558559 [0.92233,0]
recall
0.8828828828828829 [0.951456,0]
recall
0.9099099099099099 [0.961165,0.25]
recall
0.8648648648648649 [0.92233,0.125]
recall
0.8918918918918919 [0.961165,0]
recall
0.8648648648648649 [0.932039,0]
recall
0.8909090909090909 [0.92233,0.428571]
relative_absolute_error
0.5068760998500949
relative_absolute_error
1.3758065567359716
relative_absolute_error
0.8861823536630264
relative_absolute_error
1.0906859737391095
relative_absolute_error
0.8861823536630264
relative_absolute_error
0.6816787335869435
relative_absolute_error
1.0225181003804151
relative_absolute_error
0.8180144803043321
relative_absolute_error
1.0225181003804151
relative_absolute_error
0.873370455289879
root_mean_prior_squared_error
0.24318130946048286
root_mean_prior_squared_error
0.24318130946048286
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.24419244540685378
root_mean_squared_error
0.2511236011669613
root_mean_squared_error
0.4137283784938751
root_mean_squared_error
0.34222378222022665
root_mean_squared_error
0.3796631983009996
root_mean_squared_error
0.34222378222022665
root_mean_squared_error
0.3001501125938321
root_mean_squared_error
0.36760731104690386
root_mean_squared_error
0.3287979746107146
root_mean_squared_error
0.36760731104690386
root_mean_squared_error
0.3302891295379082
root_relative_squared_error
1.032659959452061
root_relative_squared_error
1.7013165173415856
root_relative_squared_error
1.3232998577504367
root_relative_squared_error
1.4680693815179702
root_relative_squared_error
1.3232998577504367
root_relative_squared_error
1.1606107521878715
root_relative_squared_error
1.42145206642403
root_relative_squared_error
1.2713853789126714
root_relative_squared_error
1.42145206642403
root_relative_squared_error
1.3525771814423129
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
usercpu_time_millis
53.5141129994372
usercpu_time_millis
38.19804700015084
usercpu_time_millis
42.87672700047551
usercpu_time_millis
41.02909499943053
usercpu_time_millis
39.65120199973171
usercpu_time_millis
35.451044000183174
usercpu_time_millis
32.533073000195145
usercpu_time_millis
43.32478300057119
usercpu_time_millis
40.827200000421726
usercpu_time_millis
41.751513999770395
usercpu_time_millis_testing
1.4607159992010565
usercpu_time_millis_testing
1.4096240001890692
usercpu_time_millis_testing
1.3513540006897529
usercpu_time_millis_testing
1.329384999735339
usercpu_time_millis_testing
1.370566999867151
usercpu_time_millis_testing
1.3562730000558076
usercpu_time_millis_testing
1.2975230001757154
usercpu_time_millis_testing
1.336189000539889
usercpu_time_millis_testing
1.326780000454164
usercpu_time_millis_testing
1.3619739993373514
usercpu_time_millis_training
52.053397000236146
usercpu_time_millis_training
36.78842299996177
usercpu_time_millis_training
41.52537299978576
usercpu_time_millis_training
39.69970999969519
usercpu_time_millis_training
38.28063499986456
usercpu_time_millis_training
34.094771000127366
usercpu_time_millis_training
31.23555000001943
usercpu_time_millis_training
41.9885940000313
usercpu_time_millis_training
39.50041999996756
usercpu_time_millis_training
40.389540000433044
wall_clock_time_millis
53.52187156677246
wall_clock_time_millis
38.207292556762695
wall_clock_time_millis
42.884111404418945
wall_clock_time_millis
41.037797927856445
wall_clock_time_millis
39.65902328491211
wall_clock_time_millis
35.45808792114258
wall_clock_time_millis
32.540082931518555
wall_clock_time_millis
43.33209991455078
wall_clock_time_millis
40.83442687988281
wall_clock_time_millis
41.759490966796875
wall_clock_time_millis_testing
1.463174819946289
wall_clock_time_millis_testing
1.413106918334961
wall_clock_time_millis_testing
1.3544559478759766
wall_clock_time_millis_testing
1.3325214385986328
wall_clock_time_millis_testing
1.3740062713623047
wall_clock_time_millis_testing
1.3592243194580078
wall_clock_time_millis_testing
1.3000965118408203
wall_clock_time_millis_testing
1.338958740234375
wall_clock_time_millis_testing
1.3301372528076172
wall_clock_time_millis_testing
1.3651847839355469
wall_clock_time_millis_training
52.05869674682617
wall_clock_time_millis_training
36.794185638427734
wall_clock_time_millis_training
41.52965545654297
wall_clock_time_millis_training
39.70527648925781
wall_clock_time_millis_training
38.285017013549805
wall_clock_time_millis_training
34.09886360168457
wall_clock_time_millis_training
31.239986419677734
wall_clock_time_millis_training
41.993141174316406
wall_clock_time_millis_training
39.504289627075195
wall_clock_time_millis_training
40.39430618286133