10370610
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)
8225957
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
1.5027812857125642
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.6143697206439183
13389
decision_function_shape
"ovr"
13389
degree
5
13389
gamma
0.17254155143241814
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
53699
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
21662925
description
https://api.openml.org/data/download/21662925/description.xml
-1
21662926
predictions
https://api.openml.org/data/download/21662926/predictions.arff
area_under_roc_curve
0.6198907681465821 [0.619891,0.619891]
average_cost
0
f_measure
0.9125109039869904 [0.956855,0.318182]
kappa
0.2763091112110097
kb_relative_information_score
0.12171751092996091
mean_absolute_error
0.0811541929666366
mean_prior_absolute_error
0.12988972477049396
number_of_instances
1109 [1032,77]
precision
0.9076365017632173 [0.946869,0.381818]
predictive_accuracy
0.9188458070333634
prior_entropy
0.36380676688852276
recall
0.9188458070333634 [0.967054,0.272727]
relative_absolute_error
0.6247930166149045
root_mean_prior_squared_error
0.25418837468358885
root_mean_squared_error
0.28487575005015187
root_relative_squared_error
1.12072690344223
total_cost
0
area_under_roc_curve
0.6380494505494504 [0.638049,0.638049]
area_under_roc_curve
0.628434065934066 [0.628434,0.628434]
area_under_roc_curve
0.5479368932038835 [0.547937,0.547937]
area_under_roc_curve
0.7402912621359223 [0.740291,0.740291]
area_under_roc_curve
0.6055825242718448 [0.605583,0.605583]
area_under_roc_curve
0.6632281553398057 [0.663228,0.663228]
area_under_roc_curve
0.7257281553398057 [0.725728,0.725728]
area_under_roc_curve
0.48058252427184467 [0.480583,0.480583]
area_under_roc_curve
0.6055825242718448 [0.605583,0.605583]
area_under_roc_curve
0.5568654646324549 [0.556865,0.556865]
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
0.9356450790413054 [0.971698,0.4]
f_measure
0.9222651222651223 [0.961905,0.333333]
f_measure
0.8957528957528955 [0.952381,0.166667]
f_measure
0.9423448173448172 [0.971154,0.571429]
f_measure
0.903908028908029 [0.951923,0.285714]
f_measure
0.9099099099099099 [0.951456,0.375]
f_measure
0.9211058978634301 [0.956098,0.470588]
f_measure
0.8749034749034749 [0.942857,0]
f_measure
0.903908028908029 [0.951923,0.285714]
f_measure
0.9076120052196607 [0.956938,0.181818]
kappa
0.3764044943820223
kappa
0.29635499207606897
kappa
0.12460567823343913
kappa
0.5432098765432097
kappa
0.23868312757201662
kappa
0.32645631067961206
kappa
0.42685025817555955
kappa
-0.050473186119873475
kappa
0.23868312757201662
kappa
0.14211438474870072
kb_relative_information_score
0.3741709080482257
kb_relative_information_score
0.1655612107309671
kb_relative_information_score
0.05068722628849021
kb_relative_information_score
0.4304123357730941
kb_relative_information_score
0.050687226288490234
kb_relative_information_score
0.05068722628848985
kb_relative_information_score
0.145618503659641
kb_relative_information_score
-0.13917532845381195
kb_relative_information_score
0.050687226288490025
kb_relative_information_score
0.05863737421380702
mean_absolute_error
0.05405405405405406
mean_absolute_error
0.07207207207207207
mean_absolute_error
0.09009009009009009
mean_absolute_error
0.05405405405405406
mean_absolute_error
0.09009009009009009
mean_absolute_error
0.09009009009009009
mean_absolute_error
0.08108108108108109
mean_absolute_error
0.10810810810810811
mean_absolute_error
0.09009009009009009
mean_absolute_error
0.08181818181818182
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
0.9356022689356024 [0.953704,0.666667]
precision
0.917967023627401 [0.95283,0.4]
precision
0.8852403805674834 [0.934579,0.25]
precision
0.9406263406263405 [0.961905,0.666667]
precision
0.898927498927499 [0.942857,0.333333]
precision
0.9099099099099099 [0.951456,0.375]
precision
0.9235706294529825 [0.960784,0.444444]
precision
0.8585501389239707 [0.925234,0]
precision
0.898927498927499 [0.942857,0.333333]
precision
0.8992710120068611 [0.943396,0.25]
predictive_accuracy
0.9459459459459459
predictive_accuracy
0.927927927927928
predictive_accuracy
0.9099099099099099
predictive_accuracy
0.9459459459459459
predictive_accuracy
0.9099099099099099
predictive_accuracy
0.9099099099099099
predictive_accuracy
0.9189189189189189
predictive_accuracy
0.8918918918918919
predictive_accuracy
0.9099099099099099
predictive_accuracy
0.9181818181818181
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
0.9459459459459459 [0.990385,0.285714]
recall
0.9279279279279279 [0.971154,0.285714]
recall
0.9099099099099099 [0.970874,0.125]
recall
0.9459459459459459 [0.980583,0.5]
recall
0.9099099099099099 [0.961165,0.25]
recall
0.9099099099099099 [0.951456,0.375]
recall
0.918918918918919 [0.951456,0.5]
recall
0.8918918918918919 [0.961165,0]
recall
0.9099099099099099 [0.961165,0.25]
recall
0.9181818181818182 [0.970874,0.142857]
relative_absolute_error
0.4344652284429384
relative_absolute_error
0.5792869712572513
relative_absolute_error
0.6816787335869435
relative_absolute_error
0.40900724015216605
relative_absolute_error
0.6816787335869435
relative_absolute_error
0.6816787335869435
relative_absolute_error
0.6135108602282492
relative_absolute_error
0.8180144803043321
relative_absolute_error
0.6816787335869435
relative_absolute_error
0.6550278414674093
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
0.23249527748763857
root_mean_squared_error
0.2684624220856097
root_mean_squared_error
0.3001501125938321
root_mean_squared_error
0.23249527748763857
root_mean_squared_error
0.3001501125938321
root_mean_squared_error
0.3001501125938321
root_mean_squared_error
0.2847473987257497
root_mean_squared_error
0.3287979746107146
root_mean_squared_error
0.3001501125938321
root_mean_squared_error
0.28603877677367767
root_relative_squared_error
0.9560573466910262
root_relative_squared_error
1.1039599329455667
root_relative_squared_error
1.1606107521878715
root_relative_squared_error
0.899005222930578
root_relative_squared_error
1.1606107521878715
root_relative_squared_error
1.1606107521878715
root_relative_squared_error
1.1010520361384777
root_relative_squared_error
1.2713853789126714
root_relative_squared_error
1.1606107521878715
root_relative_squared_error
1.171366199708197
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
132.06745800016506
usercpu_time_millis
103.53317900080583
usercpu_time_millis
120.77211199994053
usercpu_time_millis
125.49824999950943
usercpu_time_millis
72.88852199963003
usercpu_time_millis
132.91856600062602
usercpu_time_millis
98.56946299987612
usercpu_time_millis
80.5110910005169
usercpu_time_millis
111.5173970001706
usercpu_time_millis
106.66828399916994
usercpu_time_millis_testing
1.7412389997844002
usercpu_time_millis_testing
1.7225110004801536
usercpu_time_millis_testing
1.730336000036914
usercpu_time_millis_testing
1.7652739998084144
usercpu_time_millis_testing
1.710122000076808
usercpu_time_millis_testing
1.7390080001860042
usercpu_time_millis_testing
1.6993130002447288
usercpu_time_millis_testing
1.7141770003945567
usercpu_time_millis_testing
1.750189000631508
usercpu_time_millis_testing
1.6728279997550999
usercpu_time_millis_training
130.32621900038066
usercpu_time_millis_training
101.81066800032568
usercpu_time_millis_training
119.04177599990362
usercpu_time_millis_training
123.73297599970101
usercpu_time_millis_training
71.17839999955322
usercpu_time_millis_training
131.17955800044
usercpu_time_millis_training
96.8701499996314
usercpu_time_millis_training
78.79691400012234
usercpu_time_millis_training
109.7672079995391
usercpu_time_millis_training
104.99545599941484
wall_clock_time_millis
132.0781707763672
wall_clock_time_millis
103.54208946228027
wall_clock_time_millis
120.78166007995605
wall_clock_time_millis
125.50759315490723
wall_clock_time_millis
72.89671897888184
wall_clock_time_millis
132.95364379882812
wall_clock_time_millis
98.57988357543945
wall_clock_time_millis
80.5208683013916
wall_clock_time_millis
111.5260124206543
wall_clock_time_millis
106.67872428894043
wall_clock_time_millis_testing
1.7457008361816406
wall_clock_time_millis_testing
1.7261505126953125
wall_clock_time_millis_testing
1.7347335815429688
wall_clock_time_millis_testing
1.768350601196289
wall_clock_time_millis_testing
1.7132759094238281
wall_clock_time_millis_testing
1.7435550689697266
wall_clock_time_millis_testing
1.7039775848388672
wall_clock_time_millis_testing
1.7178058624267578
wall_clock_time_millis_testing
1.7538070678710938
wall_clock_time_millis_testing
1.6765594482421875
wall_clock_time_millis_training
130.33246994018555
wall_clock_time_millis_training
101.81593894958496
wall_clock_time_millis_training
119.04692649841309
wall_clock_time_millis_training
123.73924255371094
wall_clock_time_millis_training
71.18344306945801
wall_clock_time_millis_training
131.2100887298584
wall_clock_time_millis_training
96.87590599060059
wall_clock_time_millis_training
78.80306243896484
wall_clock_time_millis_training
109.7722053527832
wall_clock_time_millis_training
105.00216484069824