10547451
8323
Heinrich Peters
15
Supervised Classification
18601
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2)
8275615
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"median"
12737
verbose
0
12737
C
0.01
13106
class_weight
null
13106
dual
false
13106
fit_intercept
true
13106
intercept_scaling
1
13106
l1_ratio
null
13106
max_iter
10000
13106
multi_class
"warn"
13106
n_jobs
null
13106
penalty
"l2"
13106
random_state
1
13106
solver
"lbfgs"
13106
tol
0.0001
13106
verbose
0
13106
warm_start
false
13106
copy
true
13294
with_mean
true
13294
with_std
true
13294
memory
null
18601
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": "logisticregression", "step_name": "logisticregression"}}]
18601
verbose
false
18601
openml-python
Sklearn_0.21.2.
15
breast-w
https://www.openml.org/data/download/52350/openml_phpJNxH0q
-1
22019857
description
https://api.openml.org/data/download/22019857/description.xml
-1
22019859
predictions
https://api.openml.org/data/download/22019859/predictions.arff
area_under_roc_curve
0.9943466995234558 [0.994347,0.994347]
average_cost
0
f_measure
0.9583192883562183 [0.968649,0.938689]
kappa
0.907355017984214
kb_relative_information_score
0.765248017950388
mean_absolute_error
0.12480009610450338
mean_prior_absolute_error
0.4519499019385762
weighted_recall
0.9585121602288984 [0.978166,0.921162]
number_of_instances
699 [458,241]
precision
0.9584810243048238 [0.959315,0.956897]
predictive_accuracy
0.9585121602288984
prior_entropy
0.92931856324281
relative_absolute_error
0.276137013348583
root_mean_prior_squared_error
0.47529612442517866
root_mean_squared_error
0.18818864872568625
root_relative_squared_error
0.3959397921733128
total_cost
0
unweighted_recall
0.9496638822953849 [0.978166,0.921162]
area_under_roc_curve
0.9963768115942029 [0.996377,0.996377]
area_under_roc_curve
0.983695652173913 [0.983696,0.983696]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.9963768115942029 [0.996377,0.996377]
area_under_roc_curve
0.9981884057971013 [0.998188,0.998188]
area_under_roc_curve
0.9891304347826088 [0.98913,0.98913]
area_under_roc_curve
0.992 [0.992,0.992]
area_under_roc_curve
0.9925925925925925 [0.992593,0.992593]
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
0.9569173448377291 [0.967742,0.93617]
f_measure
0.9573446961202065 [0.967033,0.938776]
f_measure
0.956390977443609 [0.968421,0.933333]
f_measure
0.985781565373402 [0.989011,0.979592]
f_measure
0.956390977443609 [0.968421,0.933333]
f_measure
0.9856391149459097 [0.989247,0.978723]
f_measure
0.9414502164502165 [0.958333,0.909091]
f_measure
0.9428571428571428 [0.956522,0.916667]
f_measure
0.9428571428571428 [0.955556,0.92]
f_measure
0.956721134961068 [0.966292,0.938776]
kappa
0.9039341262580056
kappa
0.9058295964125561
kappa
0.9019607843137256
kappa
0.9686098654708521
kappa
0.9019607843137256
kappa
0.9679780420860019
kappa
0.8679245283018867
kappa
0.8731884057971014
kappa
0.8755555555555555
kappa
0.9050894085281982
kb_relative_information_score
0.7356940465490743
kb_relative_information_score
0.7697086872825557
kb_relative_information_score
0.804275387985625
kb_relative_information_score
0.8046300500896456
kb_relative_information_score
0.7834196302767532
kb_relative_information_score
0.7905368831713873
kb_relative_information_score
0.7492862643185646
kb_relative_information_score
0.7341985367381436
kb_relative_information_score
0.7363600361496201
kb_relative_information_score
0.7445871352297541
mean_absolute_error
0.141649032758405
mean_absolute_error
0.12255509329144174
mean_absolute_error
0.10636251737288749
mean_absolute_error
0.10915474447101389
mean_absolute_error
0.11741511956835543
mean_absolute_error
0.11434273682703695
mean_absolute_error
0.13030745550932835
mean_absolute_error
0.13294006141341988
mean_absolute_error
0.1380591050495549
mean_absolute_error
0.13536603679343126
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45577746077032805
mean_prior_absolute_error
0.45289338212491465
number_of_instances
70 [46,24]
number_of_instances
70 [46,24]
number_of_instances
70 [46,24]
number_of_instances
70 [46,24]
number_of_instances
70 [46,24]
number_of_instances
70 [46,24]
number_of_instances
70 [46,24]
number_of_instances
70 [46,24]
number_of_instances
70 [45,25]
number_of_instances
69 [45,24]
precision
0.9571296418659971 [0.957447,0.956522]
precision
0.9579682539682539 [0.977778,0.92]
precision
0.9597667638483965 [0.938776,1]
precision
0.9862857142857142 [1,0.96]
precision
0.9597667638483965 [0.938776,1]
precision
0.9860182370820668 [0.978723,1]
precision
0.9474285714285713 [0.92,1]
precision
0.9428571428571428 [0.956522,0.916667]
precision
0.9428571428571428 [0.955556,0.92]
precision
0.9573517786561265 [0.977273,0.92]
predictive_accuracy
0.9571428571428571
predictive_accuracy
0.9571428571428571
predictive_accuracy
0.9571428571428571
predictive_accuracy
0.9857142857142857
predictive_accuracy
0.9571428571428571
predictive_accuracy
0.9857142857142857
predictive_accuracy
0.942857142857143
predictive_accuracy
0.942857142857143
predictive_accuracy
0.942857142857143
predictive_accuracy
0.9565217391304348
prior_entropy
0.9275444412731174
prior_entropy
0.9275444412731174
prior_entropy
0.9275444412731174
prior_entropy
0.9275444412731174
prior_entropy
0.9275444412731174
prior_entropy
0.9275444412731174
prior_entropy
0.9275444412731174
prior_entropy
0.9275444412731174
prior_entropy
0.9407371142179634
prior_entropy
0.9321331970800204
relative_absolute_error
0.31383050557408954
relative_absolute_error
0.2715269291950084
relative_absolute_error
0.2356514686422065
relative_absolute_error
0.24183778721296062
relative_absolute_error
0.2601390607377281
relative_absolute_error
0.2533320433494087
relative_absolute_error
0.28870267481681156
relative_absolute_error
0.29453534466121156
relative_absolute_error
0.3029090223465978
relative_absolute_error
0.298891620271226
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.4793057111336632
root_mean_prior_squared_error
0.4762876085727333
root_mean_squared_error
0.19735397766395446
root_mean_squared_error
0.19345932794963058
root_mean_squared_error
0.16066305109700502
root_mean_squared_error
0.1457513577936522
root_mean_squared_error
0.1717140789986857
root_mean_squared_error
0.1732529206943634
root_mean_squared_error
0.20151267745997048
root_mean_squared_error
0.22065849241405477
root_mean_squared_error
0.20800652964095265
root_mean_squared_error
0.19672026907643825
root_relative_squared_error
0.4157708155877181
root_relative_squared_error
0.4075658545967106
root_relative_squared_error
0.33847307553717193
root_relative_squared_error
0.30705821904471375
root_relative_squared_error
0.361754566683948
root_relative_squared_error
0.3649964849591486
root_relative_squared_error
0.42453205783092346
root_relative_squared_error
0.4648670497716765
root_relative_squared_error
0.4339746529390846
root_relative_squared_error
0.41302831636947224
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
0.947463768115942 [0.978261,0.916667]
unweighted_recall
0.957427536231884 [0.956522,0.958333]
unweighted_recall
0.9375 [1,0.875]
unweighted_recall
0.9891304347826086 [0.978261,1]
unweighted_recall
0.9375 [1,0.875]
unweighted_recall
0.9791666666666667 [1,0.958333]
unweighted_recall
0.9166666666666667 [1,0.833333]
unweighted_recall
0.9365942028985508 [0.956522,0.916667]
unweighted_recall
0.9377777777777778 [0.955556,0.92]
unweighted_recall
0.9569444444444445 [0.955556,0.958333]
usercpu_time_millis
7.763357018120587
usercpu_time_millis
6.706959044095129
usercpu_time_millis
6.709495966788381
usercpu_time_millis
6.609682051930577
usercpu_time_millis
6.712328002322465
usercpu_time_millis
6.507922022137791
usercpu_time_millis
6.7430350463837385
usercpu_time_millis
6.881699955556542
usercpu_time_millis
6.846725009381771
usercpu_time_millis
5.778799997642636
usercpu_time_millis_testing
0.4702670266851783
usercpu_time_millis_testing
0.4619890241883695
usercpu_time_millis_testing
0.4619319806806743
usercpu_time_millis_testing
0.48776803305372596
usercpu_time_millis_testing
0.4781809984706342
usercpu_time_millis_testing
0.4646609886549413
usercpu_time_millis_testing
0.534060993231833
usercpu_time_millis_testing
0.4619850078597665
usercpu_time_millis_testing
0.4855570150539279
usercpu_time_millis_testing
0.40874601108953357
usercpu_time_millis_training
7.293089991435409
usercpu_time_millis_training
6.244970019906759
usercpu_time_millis_training
6.247563986107707
usercpu_time_millis_training
6.121914018876851
usercpu_time_millis_training
6.234147003851831
usercpu_time_millis_training
6.04326103348285
usercpu_time_millis_training
6.2089740531519055
usercpu_time_millis_training
6.419714947696775
usercpu_time_millis_training
6.361167994327843
usercpu_time_millis_training
5.370053986553103
wall_clock_time_millis
7.766485214233398
wall_clock_time_millis
6.715297698974609
wall_clock_time_millis
6.715536117553711
wall_clock_time_millis
6.61468505859375
wall_clock_time_millis
6.717920303344727
wall_clock_time_millis
6.514072418212891
wall_clock_time_millis
6.748437881469727
wall_clock_time_millis
6.884574890136719
wall_clock_time_millis
6.859779357910156
wall_clock_time_millis
5.7849884033203125
wall_clock_time_millis_testing
0.47326087951660156
wall_clock_time_millis_testing
0.46515464782714844
wall_clock_time_millis_testing
0.4649162292480469
wall_clock_time_millis_testing
0.48995018005371094
wall_clock_time_millis_testing
0.48065185546875
wall_clock_time_millis_testing
0.46706199645996094
wall_clock_time_millis_testing
0.5373954772949219
wall_clock_time_millis_testing
0.4646778106689453
wall_clock_time_millis_testing
0.48851966857910156
wall_clock_time_millis_testing
0.4115104675292969
wall_clock_time_millis_training
7.293224334716797
wall_clock_time_millis_training
6.250143051147461
wall_clock_time_millis_training
6.250619888305664
wall_clock_time_millis_training
6.124734878540039
wall_clock_time_millis_training
6.237268447875977
wall_clock_time_millis_training
6.04701042175293
wall_clock_time_millis_training
6.211042404174805
wall_clock_time_millis_training
6.419897079467773
wall_clock_time_millis_training
6.371259689331055
wall_clock_time_millis_training
5.373477935791016
weighted_recall
0.9571428571428572 [0.978261,0.916667]
weighted_recall
0.9571428571428572 [0.956522,0.958333]
weighted_recall
0.9571428571428572 [1,0.875]
weighted_recall
0.9857142857142858 [0.978261,1]
weighted_recall
0.9571428571428572 [1,0.875]
weighted_recall
0.9857142857142858 [1,0.958333]
weighted_recall
0.9428571428571428 [1,0.833333]
weighted_recall
0.9428571428571428 [0.956522,0.916667]
weighted_recall
0.9428571428571428 [0.955556,0.92]
weighted_recall
0.9565217391304348 [0.955556,0.958333]