10557557
8323
Heinrich Peters
167140
Supervised Classification
18608
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2)
8275668
add_indicator
false
17407
copy
true
17407
fill_value
null
17407
missing_values
NaN
17407
strategy
"most_frequent"
17407
verbose
0
17407
categorical_features
null
17408
categories
null
17408
drop
null
17408
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
17408
handle_unknown
"ignore"
17408
n_values
null
17408
sparse
true
17408
C
0.1
17462
class_weight
null
17462
dual
false
17462
fit_intercept
true
17462
intercept_scaling
1
17462
l1_ratio
null
17462
max_iter
10000
17462
multi_class
"warn"
17462
n_jobs
null
17462
penalty
"l2"
17462
random_state
1
17462
solver
"lbfgs"
17462
tol
0.0001
17462
verbose
0
17462
warm_start
false
17462
memory
null
18608
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "logisticregression", "step_name": "logisticregression"}}]
18608
verbose
false
18608
openml-python
Sklearn_0.21.2.
40670
dna
https://www.openml.org/data/download/4965245/dna.arff
-1
22040072
description
https://api.openml.org/data/download/22040072/description.xml
-1
22040073
predictions
https://api.openml.org/data/download/22040073/predictions.arff
area_under_roc_curve
0.9916676670366882 [0.993013,0.992019,0.990881]
average_cost
0
f_measure
0.9549793417328721 [0.94201,0.935401,0.970049]
kappa
0.9268675954444637
kb_relative_information_score
0.852511699872125
mean_absolute_error
0.07974456582997169
mean_prior_absolute_error
0.40995034786546497
weighted_recall
0.9548022598870056 [0.953064,0.946405,0.959492]
number_of_instances
3186 [767,765,1654]
precision
0.9554001249150402 [0.93121,0.924649,0.980841]
predictive_accuracy
0.9548022598870056
prior_entropy
1.4797952488472281
relative_absolute_error
0.19452249826152554
root_mean_prior_squared_error
0.45272392144875906
root_mean_squared_error
0.16909247840079497
root_relative_squared_error
0.37350020705705844
total_cost
0
unweighted_recall
0.9529870847638223 [0.953064,0.946405,0.959492]
area_under_roc_curve
0.9925695757022113 [0.991038,0.993286,0.992952]
area_under_roc_curve
0.9960245049576497 [0.997048,0.995506,0.995787]
area_under_roc_curve
0.9937018755099993 [0.998014,0.991228,0.992834]
area_under_roc_curve
0.9915247753234853 [0.989643,0.992636,0.991889]
area_under_roc_curve
0.9909934750345124 [0.995385,0.993024,0.987997]
area_under_roc_curve
0.9893779631596673 [0.995653,0.982773,0.989532]
area_under_roc_curve
0.9929248770122379 [0.987114,0.997844,0.993306]
area_under_roc_curve
0.9926353804627702 [0.995759,0.990408,0.992236]
area_under_roc_curve
0.9853606911930138 [0.985972,0.988953,0.983403]
area_under_roc_curve
0.9937173315932027 [0.996874,0.994508,0.99188]
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
0.936907526420989 [0.910256,0.90411,0.964286]
f_measure
0.9781804667157653 [0.980132,0.961538,0.984894]
f_measure
0.9530542682310228 [0.954839,0.941935,0.957317]
f_measure
0.9441978797854184 [0.911392,0.929936,0.965944]
f_measure
0.9532006243007215 [0.941935,0.936709,0.966154]
f_measure
0.9625916679669215 [0.95,0.941176,0.978462]
f_measure
0.9655790756347495 [0.941935,0.967742,0.97546]
f_measure
0.9405837741585762 [0.928105,0.904459,0.96319]
f_measure
0.9531412728013317 [0.935065,0.936709,0.969136]
f_measure
0.9623512154112388 [0.967742,0.928105,0.97561]
kappa
0.8973253081850074
kappa
0.9643250842745994
kappa
0.9238772490812771
kappa
0.9092976969007676
kappa
0.9241896131056117
kappa
0.9393516904844894
kappa
0.9440758445378822
kappa
0.9034006427166771
kappa
0.9239525540462981
kappa
0.9388177197736127
kb_relative_information_score
0.8329114918027034
kb_relative_information_score
0.8634854982245931
kb_relative_information_score
0.8617570744687348
kb_relative_information_score
0.8511569133111984
kb_relative_information_score
0.8493596696329355
kb_relative_information_score
0.8553387164122725
kb_relative_information_score
0.8636014970116903
kb_relative_information_score
0.8509999183852256
kb_relative_information_score
0.846082144399796
kb_relative_information_score
0.8504269501568115
mean_absolute_error
0.08808453628802693
mean_absolute_error
0.07572971790891188
mean_absolute_error
0.07553223967872173
mean_absolute_error
0.07834631050488075
mean_absolute_error
0.08125447535706158
mean_absolute_error
0.0794719883273551
mean_absolute_error
0.0745348648154431
mean_absolute_error
0.07976924635748907
mean_absolute_error
0.08322400469450394
mean_absolute_error
0.08149842570982363
mean_prior_absolute_error
0.4097215054492773
mean_prior_absolute_error
0.4097215054492773
mean_prior_absolute_error
0.4097215054492773
mean_prior_absolute_error
0.4097215054492773
mean_prior_absolute_error
0.41030409849951244
mean_prior_absolute_error
0.41030409849951244
mean_prior_absolute_error
0.4100028070812083
mean_prior_absolute_error
0.4100028070812083
mean_prior_absolute_error
0.4100028070812083
mean_prior_absolute_error
0.4100014922890736
number_of_instances
319 [77,76,166]
number_of_instances
319 [77,76,166]
number_of_instances
319 [77,76,166]
number_of_instances
319 [77,76,166]
number_of_instances
319 [77,77,165]
number_of_instances
319 [77,77,165]
number_of_instances
318 [76,77,165]
number_of_instances
318 [76,77,165]
number_of_instances
318 [76,77,165]
number_of_instances
318 [77,76,165]
precision
0.9374542626859879 [0.898734,0.942857,0.952941]
precision
0.9788021278616891 [1,0.9375,0.987879]
precision
0.9534660606972551 [0.948718,0.924051,0.969136]
precision
0.9463352563140248 [0.888889,0.901235,0.993631]
precision
0.9539687510233488 [0.935897,0.91358,0.98125]
precision
0.963705775916734 [0.915663,0.947368,0.99375]
precision
0.9660900006249483 [0.924051,0.961538,0.987578]
precision
0.94124541885514 [0.922078,0.8875,0.975155]
precision
0.9541636901511906 [0.923077,0.91358,0.987421]
precision
0.9625143830202287 [0.961538,0.922078,0.981595]
predictive_accuracy
0.9373040752351097
predictive_accuracy
0.9780564263322884
predictive_accuracy
0.9529780564263324
predictive_accuracy
0.9435736677115988
predictive_accuracy
0.9529780564263324
predictive_accuracy
0.9623824451410659
predictive_accuracy
0.9654088050314464
predictive_accuracy
0.940251572327044
predictive_accuracy
0.9528301886792453
predictive_accuracy
0.9622641509433962
prior_entropy
1.4784259055653401
prior_entropy
1.4784259055653401
prior_entropy
1.4784259055653401
prior_entropy
1.4784259055653401
prior_entropy
1.4819099648749627
prior_entropy
1.4819099648749627
prior_entropy
1.4801111726842202
prior_entropy
1.4801111726842202
prior_entropy
1.4801111726842202
prior_entropy
1.4800993427508988
relative_absolute_error
0.21498636297218138
relative_absolute_error
0.18483217722699463
relative_absolute_error
0.18435019561860042
relative_absolute_error
0.19121844829445953
relative_absolute_error
0.1980347641035278
relative_absolute_error
0.19369045695128373
relative_absolute_error
0.18179110856838634
relative_absolute_error
0.19455780540958437
relative_absolute_error
0.20298398756577285
relative_absolute_error
0.19877592458215435
root_mean_prior_squared_error
0.4524711113825355
root_mean_prior_squared_error
0.4524711113825355
root_mean_prior_squared_error
0.4524711113825355
root_mean_prior_squared_error
0.4524711113825355
root_mean_prior_squared_error
0.45311444435813547
root_mean_prior_squared_error
0.45311444435813547
root_mean_prior_squared_error
0.4527818550556965
root_mean_prior_squared_error
0.4527818550556965
root_mean_prior_squared_error
0.4527818550556965
root_mean_prior_squared_error
0.4527804031487484
root_mean_squared_error
0.1785042336306731
root_mean_squared_error
0.15445112362134025
root_mean_squared_error
0.161827104766638
root_mean_squared_error
0.1781747539018791
root_mean_squared_error
0.17210991305471224
root_mean_squared_error
0.1668955341117467
root_mean_squared_error
0.1590748982028261
root_mean_squared_error
0.17149313515791453
root_mean_squared_error
0.18022754140720318
root_mean_squared_error
0.16612707428583898
root_relative_squared_error
0.39450968059651254
root_relative_squared_error
0.341350242558937
root_relative_squared_error
0.3576517941049799
root_relative_squared_error
0.39378150211062574
root_relative_squared_error
0.37983762203501714
root_relative_squared_error
0.3683297590483228
root_relative_squared_error
0.3513278997968202
root_relative_squared_error
0.37875443382513474
root_relative_squared_error
0.3980449733018419
root_relative_squared_error
0.36690429429045446
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
0.9221341963891109 [0.922078,0.868421,0.975904]
unweighted_recall
0.9766029257151642 [0.961039,0.986842,0.981928]
unweighted_recall
0.9557828031195182 [0.961039,0.960526,0.945783]
unweighted_recall
0.9451167623329958 [0.935065,0.960526,0.939759]
unweighted_recall
0.9535353535353536 [0.948052,0.961039,0.951515]
unweighted_recall
0.9619047619047619 [0.987013,0.935065,0.963636]
unweighted_recall
0.9660628844839371 [0.960526,0.974026,0.963636]
unweighted_recall
0.9359345333029544 [0.934211,0.922078,0.951515]
unweighted_recall
0.9533075112022481 [0.947368,0.961039,0.951515]
unweighted_recall
0.9593111566795778 [0.974026,0.934211,0.969697]
usercpu_time_millis
972.1600000048056
usercpu_time_millis
950.989999997546
usercpu_time_millis
1060.6799999950454
usercpu_time_millis
906.3679999962915
usercpu_time_millis
905.7240000111051
usercpu_time_millis
942.7439999999478
usercpu_time_millis
1189.3760000093607
usercpu_time_millis
1083.065999991959
usercpu_time_millis
1133.7700000149198
usercpu_time_millis
1228.1499999953667
usercpu_time_millis_testing
30.36600000632461
usercpu_time_millis_testing
30.404000004637055
usercpu_time_millis_testing
30.76199999486562
usercpu_time_millis_testing
30.186000003595836
usercpu_time_millis_testing
29.89200000592973
usercpu_time_millis_testing
31.210000001010485
usercpu_time_millis_testing
32.27399999741465
usercpu_time_millis_testing
33.309999998891726
usercpu_time_millis_testing
34.12400001252536
usercpu_time_millis_testing
35.5520000011893
usercpu_time_millis_training
941.793999998481
usercpu_time_millis_training
920.5859999929089
usercpu_time_millis_training
1029.9180000001797
usercpu_time_millis_training
876.1819999926956
usercpu_time_millis_training
875.8320000051754
usercpu_time_millis_training
911.5339999989374
usercpu_time_millis_training
1157.102000011946
usercpu_time_millis_training
1049.7559999930672
usercpu_time_millis_training
1099.6460000023944
usercpu_time_millis_training
1192.5979999941774
wall_clock_time_millis
493.4883117675781
wall_clock_time_millis
482.56778717041016
wall_clock_time_millis
538.0086898803711
wall_clock_time_millis
462.0804786682129
wall_clock_time_millis
458.6019515991211
wall_clock_time_millis
478.4090518951416
wall_clock_time_millis
608.1159114837646
wall_clock_time_millis
549.7691631317139
wall_clock_time_millis
576.6732692718506
wall_clock_time_millis
622.8480339050293
wall_clock_time_millis_testing
15.362262725830078
wall_clock_time_millis_testing
15.522003173828125
wall_clock_time_millis_testing
15.425920486450195
wall_clock_time_millis_testing
15.295267105102539
wall_clock_time_millis_testing
15.066862106323242
wall_clock_time_millis_testing
15.641927719116211
wall_clock_time_millis_testing
16.710758209228516
wall_clock_time_millis_testing
16.935110092163086
wall_clock_time_millis_testing
17.38429069519043
wall_clock_time_millis_testing
17.992019653320312
wall_clock_time_millis_training
478.12604904174805
wall_clock_time_millis_training
467.04578399658203
wall_clock_time_millis_training
522.5827693939209
wall_clock_time_millis_training
446.78521156311035
wall_clock_time_millis_training
443.53508949279785
wall_clock_time_millis_training
462.7671241760254
wall_clock_time_millis_training
591.4051532745361
wall_clock_time_millis_training
532.8340530395508
wall_clock_time_millis_training
559.2889785766602
wall_clock_time_millis_training
604.856014251709
weighted_recall
0.9373040752351097 [0.922078,0.868421,0.975904]
weighted_recall
0.9780564263322884 [0.961039,0.986842,0.981928]
weighted_recall
0.9529780564263323 [0.961039,0.960526,0.945783]
weighted_recall
0.9435736677115988 [0.935065,0.960526,0.939759]
weighted_recall
0.9529780564263323 [0.948052,0.961039,0.951515]
weighted_recall
0.9623824451410659 [0.987013,0.935065,0.963636]
weighted_recall
0.9654088050314465 [0.960526,0.974026,0.963636]
weighted_recall
0.940251572327044 [0.934211,0.922078,0.951515]
weighted_recall
0.9528301886792453 [0.947368,0.961039,0.951515]
weighted_recall
0.9622641509433962 [0.974026,0.934211,0.969697]