10548563
8323
Heinrich Peters
9976
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.
1485
madelon
https://www.openml.org/data/download/1590986/phpfLuQE4
-1
22022081
description
https://api.openml.org/data/download/22022081/description.xml
-1
22022082
predictions
https://api.openml.org/data/download/22022082/predictions.arff
area_under_roc_curve
0.5914443786982249 [0.591444,0.591444]
average_cost
0
f_measure
0.5711507376310864 [0.572305,0.569996]
kappa
0.14230769230769225
kb_relative_information_score
0.08039557996480332
mean_absolute_error
0.4646042928338849
mean_prior_absolute_error
0.5
weighted_recall
0.5711538461538461 [0.573846,0.568462]
number_of_instances
2600 [1300,1300]
precision
0.5711559092541737 [0.570773,0.571539]
predictive_accuracy
0.5711538461538461
prior_entropy
1
relative_absolute_error
0.9292085856677698
root_mean_prior_squared_error
0.5
root_mean_squared_error
0.5145987186845686
root_relative_squared_error
1.0291974373691373
total_cost
0
unweighted_recall
0.5711538461538461 [0.573846,0.568462]
area_under_roc_curve
0.6234319526627219 [0.623432,0.623432]
area_under_roc_curve
0.6063905325443787 [0.606391,0.606391]
area_under_roc_curve
0.5172189349112426 [0.517219,0.517219]
area_under_roc_curve
0.568698224852071 [0.568698,0.568698]
area_under_roc_curve
0.6603550295857988 [0.660355,0.660355]
area_under_roc_curve
0.5918934911242604 [0.591893,0.591893]
area_under_roc_curve
0.5417751479289941 [0.541775,0.541775]
area_under_roc_curve
0.5898224852071006 [0.589822,0.589822]
area_under_roc_curve
0.5865088757396449 [0.586509,0.586509]
area_under_roc_curve
0.6291715976331361 [0.629172,0.629172]
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
0.6230769230769231 [0.623077,0.623077]
f_measure
0.5671561924014509 [0.597122,0.53719]
f_measure
0.5183686776626804 [0.497992,0.538745]
f_measure
0.5692052784188414 [0.565891,0.572519]
f_measure
0.6495801181889541 [0.63745,0.66171]
f_measure
0.5268600849225488 [0.532319,0.521401]
f_measure
0.5230769230769231 [0.523077,0.523077]
f_measure
0.5753148016155857 [0.54918,0.601449]
f_measure
0.5762962962962963 [0.592593,0.56]
f_measure
0.5756928372203429 [0.59854,0.552846]
kappa
0.24615384615384617
kappa
0.1384615384615384
kappa
0.03846153846153855
kappa
0.1384615384615384
kappa
0.30000000000000004
kappa
0.05384615384615388
kappa
0.04615384615384621
kappa
0.15384615384615374
kappa
0.15384615384615374
kappa
0.15384615384615374
kb_relative_information_score
0.11310962911987987
kb_relative_information_score
0.08980134408923114
kb_relative_information_score
0.01517101321834008
kb_relative_information_score
0.06398052534965257
kb_relative_information_score
0.13792515848524028
kb_relative_information_score
0.08060414760795548
kb_relative_information_score
0.03284372504505036
kb_relative_information_score
0.0835803633507434
kb_relative_information_score
0.07418646412554585
kb_relative_information_score
0.11275342925639296
mean_absolute_error
0.4511283480837694
mean_absolute_error
0.4596118853851914
mean_absolute_error
0.49337215498056175
mean_absolute_error
0.4720699221248398
mean_absolute_error
0.44117300639700385
mean_absolute_error
0.4632613814996248
mean_absolute_error
0.4850294331079617
mean_absolute_error
0.46249342488551853
mean_absolute_error
0.46808914341592955
mean_absolute_error
0.4498142284584568
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
mean_prior_absolute_error
0.5
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
number_of_instances
260 [130,130]
precision
0.6230769230769231 [0.623077,0.623077]
precision
0.5705839768339769 [0.560811,0.580357]
precision
0.5193694499076226 [0.521008,0.51773]
precision
0.5692471590909092 [0.570312,0.568182]
precision
0.6507223972887806 [0.661157,0.640288]
precision
0.5269374222958972 [0.526316,0.527559]
precision
0.5230769230769231 [0.523077,0.523077]
precision
0.5781062244652728 [0.587719,0.568493]
precision
0.5773809523809524 [0.571429,0.583333]
precision
0.5778256704980842 [0.569444,0.586207]
predictive_accuracy
0.6230769230769231
predictive_accuracy
0.5692307692307692
predictive_accuracy
0.5192307692307692
predictive_accuracy
0.5692307692307692
predictive_accuracy
0.65
predictive_accuracy
0.5269230769230769
predictive_accuracy
0.5230769230769231
predictive_accuracy
0.576923076923077
predictive_accuracy
0.576923076923077
predictive_accuracy
0.576923076923077
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
prior_entropy
1
relative_absolute_error
0.9022566961675388
relative_absolute_error
0.9192237707703828
relative_absolute_error
0.9867443099611235
relative_absolute_error
0.9441398442496794
relative_absolute_error
0.8823460127940078
relative_absolute_error
0.9265227629992496
relative_absolute_error
0.9700588662159234
relative_absolute_error
0.9249868497710371
relative_absolute_error
0.9361782868318591
relative_absolute_error
0.8996284569169135
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_prior_squared_error
0.5
root_mean_squared_error
0.5020764541907475
root_mean_squared_error
0.5090371372649977
root_mean_squared_error
0.5444443001647482
root_mean_squared_error
0.5234142800404765
root_mean_squared_error
0.4906615691327017
root_mean_squared_error
0.5138322747389095
root_mean_squared_error
0.5317681687624322
root_mean_squared_error
0.5145446822554174
root_mean_squared_error
0.5133998154666704
root_mean_squared_error
0.5006509436358877
root_relative_squared_error
1.004152908381495
root_relative_squared_error
1.0180742745299953
root_relative_squared_error
1.0888886003294964
root_relative_squared_error
1.046828560080953
root_relative_squared_error
0.9813231382654034
root_relative_squared_error
1.027664549477819
root_relative_squared_error
1.0635363375248643
root_relative_squared_error
1.0290893645108348
root_relative_squared_error
1.0267996309333407
root_relative_squared_error
1.0013018872717754
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
0.6230769230769231 [0.623077,0.623077]
unweighted_recall
0.5692307692307692 [0.638462,0.5]
unweighted_recall
0.5192307692307693 [0.476923,0.561538]
unweighted_recall
0.5692307692307692 [0.561538,0.576923]
unweighted_recall
0.65 [0.615385,0.684615]
unweighted_recall
0.5269230769230768 [0.538462,0.515385]
unweighted_recall
0.5230769230769231 [0.523077,0.523077]
unweighted_recall
0.5769230769230769 [0.515385,0.638462]
unweighted_recall
0.5769230769230769 [0.615385,0.538462]
unweighted_recall
0.5769230769230769 [0.630769,0.523077]
usercpu_time_millis
321.16742996731773
usercpu_time_millis
276.96013607783243
usercpu_time_millis
246.99938495177776
usercpu_time_millis
221.28658305155113
usercpu_time_millis
231.91615706309676
usercpu_time_millis
228.8659139885567
usercpu_time_millis
230.19055498298258
usercpu_time_millis
228.51566801546142
usercpu_time_millis
222.1824710140936
usercpu_time_millis
222.83204598352313
usercpu_time_millis_testing
3.3075339742936194
usercpu_time_millis_testing
3.324914025142789
usercpu_time_millis_testing
2.613173972349614
usercpu_time_millis_testing
2.5092310388572514
usercpu_time_millis_testing
2.6419780333526433
usercpu_time_millis_testing
2.604710985906422
usercpu_time_millis_testing
2.50850897282362
usercpu_time_millis_testing
2.5339379790239036
usercpu_time_millis_testing
2.556049032136798
usercpu_time_millis_testing
2.4796610232442617
usercpu_time_millis_training
317.8598959930241
usercpu_time_millis_training
273.63522205268964
usercpu_time_millis_training
244.38621097942814
usercpu_time_millis_training
218.77735201269388
usercpu_time_millis_training
229.27417902974412
usercpu_time_millis_training
226.2612030026503
usercpu_time_millis_training
227.68204601015896
usercpu_time_millis_training
225.9817300364375
usercpu_time_millis_training
219.6264219819568
usercpu_time_millis_training
220.35238496027887
wall_clock_time_millis
321.18964195251465
wall_clock_time_millis
277.0121097564697
wall_clock_time_millis
247.35784530639648
wall_clock_time_millis
221.31752967834473
wall_clock_time_millis
231.92858695983887
wall_clock_time_millis
228.96528244018555
wall_clock_time_millis
230.24392127990723
wall_clock_time_millis
228.8339138031006
wall_clock_time_millis
222.2425937652588
wall_clock_time_millis
222.86558151245117
wall_clock_time_millis_testing
3.31878662109375
wall_clock_time_millis_testing
3.3359527587890625
wall_clock_time_millis_testing
2.625703811645508
wall_clock_time_millis_testing
2.517223358154297
wall_clock_time_millis_testing
2.6514530181884766
wall_clock_time_millis_testing
2.6144981384277344
wall_clock_time_millis_testing
2.5167465209960938
wall_clock_time_millis_testing
2.5415420532226562
wall_clock_time_millis_testing
2.5649070739746094
wall_clock_time_millis_testing
2.4917125701904297
wall_clock_time_millis_training
317.8708553314209
wall_clock_time_millis_training
273.67615699768066
wall_clock_time_millis_training
244.73214149475098
wall_clock_time_millis_training
218.80030632019043
wall_clock_time_millis_training
229.2771339416504
wall_clock_time_millis_training
226.3507843017578
wall_clock_time_millis_training
227.72717475891113
wall_clock_time_millis_training
226.29237174987793
wall_clock_time_millis_training
219.67768669128418
wall_clock_time_millis_training
220.37386894226074
weighted_recall
0.6230769230769231 [0.623077,0.623077]
weighted_recall
0.5692307692307692 [0.638462,0.5]
weighted_recall
0.5192307692307693 [0.476923,0.561538]
weighted_recall
0.5692307692307692 [0.561538,0.576923]
weighted_recall
0.65 [0.615385,0.684615]
weighted_recall
0.5269230769230769 [0.538462,0.515385]
weighted_recall
0.5230769230769231 [0.523077,0.523077]
weighted_recall
0.5769230769230769 [0.515385,0.638462]
weighted_recall
0.5769230769230769 [0.615385,0.538462]
weighted_recall
0.5769230769230769 [0.630769,0.523077]