10550098
8323
Heinrich Peters
9960
Supervised Classification
18601
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2)
8275616
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"median"
12737
verbose
0
12737
C
10
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.
1497
wall-robot-navigation
https://www.openml.org/data/download/1592289/phpVeNa5j
-1
22025151
description
https://api.openml.org/data/download/22025151/description.xml
-1
22025152
predictions
https://api.openml.org/data/download/22025152/predictions.arff
area_under_roc_curve
0.8772091844018985 [0.860925,0.864648,0.963606,0.918262]
average_cost
0
f_measure
0.6855916048966683 [0.722539,0.719862,0.555354,0.551673]
kappa
0.5209697583543089
kb_relative_information_score
0.4803921639393849
mean_absolute_error
0.20936243756814113
mean_prior_absolute_error
0.3312381502905654
weighted_recall
0.6918988269794721 [0.71746,0.795899,0.466463,0.449153]
number_of_instances
5456 [2205,2097,328,826]
precision
0.6961077945281375 [0.727691,0.657087,0.686099,0.714836]
predictive_accuracy
0.6918988269794721
prior_entropy
1.7146330399083418
relative_absolute_error
0.6320601578788141
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.31886926097532925
root_relative_squared_error
0.7835712555477763
total_cost
0
unweighted_recall
0.6072437944155964 [0.71746,0.795899,0.466463,0.449153]
area_under_roc_curve
0.8756005710180023 [0.864212,0.86087,0.958415,0.910692]
area_under_roc_curve
0.8707772108261811 [0.861371,0.849943,0.959655,0.913714]
area_under_roc_curve
0.8651594682887614 [0.840798,0.849221,0.963495,0.930964]
area_under_roc_curve
0.8799701984585979 [0.855786,0.879776,0.950499,0.916521]
area_under_roc_curve
0.8740544406773637 [0.845162,0.866185,0.96249,0.935387]
area_under_roc_curve
0.873051695487115 [0.862688,0.860247,0.960896,0.897994]
area_under_roc_curve
0.8716461526701587 [0.853622,0.855281,0.975938,0.920618]
area_under_roc_curve
0.8915380292311726 [0.887716,0.867011,0.982273,0.928493]
area_under_roc_curve
0.8969761352987567 [0.887213,0.887574,0.955907,0.923537]
area_under_roc_curve
0.876577782129876 [0.853639,0.873305,0.967744,0.910051]
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
0.6782368370148728 [0.726457,0.710526,0.5,0.537313]
f_measure
0.6746014762344776 [0.712329,0.69697,0.590164,0.549618]
f_measure
0.6764676684609474 [0.702079,0.706638,0.603774,0.561151]
f_measure
0.7014479270179286 [0.724706,0.746331,0.48,0.614286]
f_measure
0.6909546557962178 [0.708804,0.722944,0.555556,0.616541]
f_measure
0.6733992442381062 [0.717593,0.705882,0.617647,0.496241]
f_measure
0.6703409385681988 [0.718954,0.703786,0.528302,0.511628]
f_measure
0.7036692491951985 [0.760181,0.726477,0.654545,0.514706]
f_measure
0.6851850474384997 [0.723898,0.729958,0.509804,0.537313]
f_measure
0.6978704857036325 [0.730233,0.746835,0.48,0.573529]
kappa
0.5101299893588165
kappa
0.5031123730479415
kappa
0.5051307962370689
kappa
0.547027455727509
kappa
0.5261928037094927
kappa
0.5071719250468072
kappa
0.49740468474165417
kappa
0.5496739306651605
kappa
0.5219097346248399
kappa
0.5421658913589061
kb_relative_information_score
0.4777735428993759
kb_relative_information_score
0.4636683354170451
kb_relative_information_score
0.47180340639232915
kb_relative_information_score
0.47896636797445474
kb_relative_information_score
0.48204711016855767
kb_relative_information_score
0.47258594644785634
kb_relative_information_score
0.4887750667679977
kb_relative_information_score
0.5040368859244542
kb_relative_information_score
0.49259257898399866
kb_relative_information_score
0.47179425927388474
mean_absolute_error
0.20896456261895616
mean_absolute_error
0.21415418786223608
mean_absolute_error
0.21234600270722775
mean_absolute_error
0.20913574153570735
mean_absolute_error
0.2095671770304824
mean_absolute_error
0.2119412139865523
mean_absolute_error
0.2065779527938983
mean_absolute_error
0.20366809177830492
mean_absolute_error
0.2035840708337177
mean_absolute_error
0.21366714653372038
mean_prior_absolute_error
0.3311434139730841
mean_prior_absolute_error
0.3311434139730841
mean_prior_absolute_error
0.33137469978129297
mean_prior_absolute_error
0.33137469978129297
mean_prior_absolute_error
0.33137469978129297
mean_prior_absolute_error
0.33137469978129297
mean_prior_absolute_error
0.3311205766710351
mean_prior_absolute_error
0.3311024296804111
mean_prior_absolute_error
0.3311861074705109
mean_prior_absolute_error
0.3311861074705109
number_of_instances
546 [221,210,33,82]
number_of_instances
546 [221,210,33,82]
number_of_instances
546 [220,210,33,83]
number_of_instances
546 [220,210,33,83]
number_of_instances
546 [220,210,33,83]
number_of_instances
546 [220,210,33,83]
number_of_instances
545 [220,210,32,83]
number_of_instances
545 [221,209,32,83]
number_of_instances
545 [221,209,33,82]
number_of_instances
545 [221,209,33,82]
precision
0.6854741212780205 [0.72,0.658537,0.608696,0.692308]
precision
0.6859000483095282 [0.718894,0.638889,0.642857,0.734694]
precision
0.6886882405066411 [0.713615,0.642023,0.8,0.696429]
precision
0.7164403762229028 [0.75122,0.666667,0.705882,0.754386]
precision
0.7063845927010565 [0.704036,0.662698,0.714286,0.82]
precision
0.6814204443733883 [0.731132,0.650602,0.6,0.66]
precision
0.6818130434226286 [0.690377,0.661088,0.666667,0.717391]
precision
0.7114678170750626 [0.760181,0.669355,0.782609,0.660377]
precision
0.6994779855191834 [0.742857,0.65283,0.722222,0.692308]
precision
0.7121594868832313 [0.751196,0.667925,0.705882,0.722222]
predictive_accuracy
0.684981684981685
predictive_accuracy
0.6794871794871794
predictive_accuracy
0.6813186813186813
predictive_accuracy
0.7087912087912087
predictive_accuracy
0.6959706959706959
predictive_accuracy
0.6794871794871794
predictive_accuracy
0.6788990825688073
predictive_accuracy
0.710091743119266
predictive_accuracy
0.6935779816513761
predictive_accuracy
0.706422018348624
prior_entropy
1.7138246699606299
prior_entropy
1.7138246699606299
prior_entropy
1.7164171123716554
prior_entropy
1.7164171123716554
prior_entropy
1.7164171123716554
prior_entropy
1.7164171123716554
prior_entropy
1.7121302787024806
prior_entropy
1.711997401430895
prior_entropy
1.714437400963805
prior_entropy
1.714437400963805
relative_absolute_error
0.6310394644778927
relative_absolute_error
0.6467113003782792
relative_absolute_error
0.6408033046800976
relative_absolute_error
0.6311155971585543
relative_absolute_error
0.6324175538108266
relative_absolute_error
0.639581760847866
relative_absolute_error
0.623875311135168
relative_absolute_error
0.6151211030824836
relative_absolute_error
0.6147119889436938
relative_absolute_error
0.6451573351480193
root_mean_prior_squared_error
0.4068271240296317
root_mean_prior_squared_error
0.4068271240296317
root_mean_prior_squared_error
0.40711128043132166
root_mean_prior_squared_error
0.40711128043132166
root_mean_prior_squared_error
0.40711128043132166
root_mean_prior_squared_error
0.40711128043132166
root_mean_prior_squared_error
0.4067990554858411
root_mean_prior_squared_error
0.40677675026179705
root_mean_prior_squared_error
0.4068795919478491
root_mean_prior_squared_error
0.4068795919478491
root_mean_squared_error
0.31983555192187146
root_mean_squared_error
0.3233440913838025
root_mean_squared_error
0.3240002517595497
root_mean_squared_error
0.3181797714623603
root_mean_squared_error
0.31940783657446725
root_mean_squared_error
0.3219642824059854
root_mean_squared_error
0.3198484019809946
root_mean_squared_error
0.31011346644317966
root_mean_squared_error
0.31139442284722874
root_mean_squared_error
0.32027676798499133
root_relative_squared_error
0.7861706681548004
root_relative_squared_error
0.7947948213999895
root_relative_squared_error
0.7958518157892398
root_relative_squared_error
0.781554790437786
root_relative_squared_error
0.7845713246659848
root_relative_squared_error
0.7908508014439549
root_relative_squared_error
0.786256501011289
root_relative_squared_error
0.7623677268762141
root_relative_squared_error
0.7653232774750252
root_relative_squared_error
0.7871536796715084
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
0.5919317650307607 [0.733032,0.771429,0.424242,0.439024]
unweighted_recall
0.6142569888265728 [0.705882,0.766667,0.545455,0.439024]
unweighted_recall
0.6078378448860376 [0.690909,0.785714,0.484848,0.46988]
unweighted_recall
0.6073319251030094 [0.7,0.847619,0.363636,0.518072]
unweighted_recall
0.6143489542585928 [0.713636,0.795238,0.454545,0.493976]
unweighted_recall
0.6274820059458613 [0.704545,0.771429,0.636364,0.39759]
unweighted_recall
0.5843678284566839 [0.75,0.752381,0.4375,0.39759]
unweighted_recall
0.6346565289172016 [0.760181,0.794258,0.5625,0.421687]
unweighted_recall
0.5916493333241805 [0.705882,0.827751,0.393939,0.439024]
unweighted_recall
0.5991358279265098 [0.710407,0.84689,0.363636,0.47561]
usercpu_time_millis
133.56124592246488
usercpu_time_millis
112.25447501055896
usercpu_time_millis
105.75888300081715
usercpu_time_millis
106.98098404100165
usercpu_time_millis
98.85268699144945
usercpu_time_millis
108.5508419200778
usercpu_time_millis
100.73638998437673
usercpu_time_millis
99.52134499326348
usercpu_time_millis
100.41382000781596
usercpu_time_millis
101.38434899272397
usercpu_time_millis_testing
0.859027961269021
usercpu_time_millis_testing
0.7959810318425298
usercpu_time_millis_testing
0.7016059826128185
usercpu_time_millis_testing
0.8395430049858987
usercpu_time_millis_testing
0.6808019825257361
usercpu_time_millis_testing
0.7159479428082705
usercpu_time_millis_testing
0.6661390070803463
usercpu_time_millis_testing
0.6831639911979437
usercpu_time_millis_testing
0.7539910147897899
usercpu_time_millis_testing
0.7450669654645026
usercpu_time_millis_training
132.70221796119586
usercpu_time_millis_training
111.45849397871643
usercpu_time_millis_training
105.05727701820433
usercpu_time_millis_training
106.14144103601575
usercpu_time_millis_training
98.17188500892371
usercpu_time_millis_training
107.83489397726953
usercpu_time_millis_training
100.07025097729638
usercpu_time_millis_training
98.83818100206554
usercpu_time_millis_training
99.65982899302617
usercpu_time_millis_training
100.63928202725947
wall_clock_time_millis
133.56566429138184
wall_clock_time_millis
112.29300498962402
wall_clock_time_millis
105.78012466430664
wall_clock_time_millis
106.98556900024414
wall_clock_time_millis
98.85668754577637
wall_clock_time_millis
108.55698585510254
wall_clock_time_millis
100.74019432067871
wall_clock_time_millis
99.52592849731445
wall_clock_time_millis
100.41952133178711
wall_clock_time_millis
101.38750076293945
wall_clock_time_millis_testing
0.8642673492431641
wall_clock_time_millis_testing
0.7998943328857422
wall_clock_time_millis_testing
0.7059574127197266
wall_clock_time_millis_testing
0.8428096771240234
wall_clock_time_millis_testing
0.6842613220214844
wall_clock_time_millis_testing
0.7202625274658203
wall_clock_time_millis_testing
0.6690025329589844
wall_clock_time_millis_testing
0.6873607635498047
wall_clock_time_millis_testing
0.7584095001220703
wall_clock_time_millis_testing
0.7498264312744141
wall_clock_time_millis_training
132.70139694213867
wall_clock_time_millis_training
111.49311065673828
wall_clock_time_millis_training
105.07416725158691
wall_clock_time_millis_training
106.14275932312012
wall_clock_time_millis_training
98.17242622375488
wall_clock_time_millis_training
107.83672332763672
wall_clock_time_millis_training
100.07119178771973
wall_clock_time_millis_training
98.83856773376465
wall_clock_time_millis_training
99.66111183166504
wall_clock_time_millis_training
100.63767433166504
weighted_recall
0.684981684981685 [0.733032,0.771429,0.424242,0.439024]
weighted_recall
0.6794871794871795 [0.705882,0.766667,0.545455,0.439024]
weighted_recall
0.6813186813186813 [0.690909,0.785714,0.484848,0.46988]
weighted_recall
0.7087912087912088 [0.7,0.847619,0.363636,0.518072]
weighted_recall
0.6959706959706959 [0.713636,0.795238,0.454545,0.493976]
weighted_recall
0.6794871794871795 [0.704545,0.771429,0.636364,0.39759]
weighted_recall
0.6788990825688074 [0.75,0.752381,0.4375,0.39759]
weighted_recall
0.710091743119266 [0.760181,0.794258,0.5625,0.421687]
weighted_recall
0.6935779816513762 [0.705882,0.827751,0.393939,0.439024]
weighted_recall
0.7064220183486238 [0.710407,0.84689,0.363636,0.47561]