10383271
8323
Heinrich Peters
9960
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8231902
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"median"
12737
verbose
0
12737
copy
true
13294
with_mean
true
13294
with_std
true
13294
C
4253.0644532427295
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.41160062993685353
13389
decision_function_shape
"ovr"
13389
degree
4
13389
gamma
0.31874006233599195
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
1
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.
1497
wall-robot-navigation
https://www.openml.org/data/download/1592289/phpVeNa5j
-1
21688251
description
https://api.openml.org/data/download/21688251/description.xml
-1
21688252
predictions
https://api.openml.org/data/download/21688252/predictions.arff
area_under_roc_curve
0.9098235098022974 [0.904705,0.922711,0.870684,0.906311]
average_cost
0
f_measure
0.885488765079584 [0.887259,0.898815,0.834188,0.867302]
kappa
0.8262486677021462
kb_relative_information_score
0.8307085397068684
mean_absolute_error
0.05690982404692082
mean_prior_absolute_error
0.3312381502905654
number_of_instances
5456 [2205,2097,328,826]
precision
0.8883586690015247 [0.896711,0.860759,0.949416,0.911883]
predictive_accuracy
0.8861803519061584
prior_entropy
1.7146330399083418
recall
0.8861803519061584 [0.878005,0.940391,0.743902,0.826877]
relative_absolute_error
0.17180938849283803
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.23855780022233777
root_relative_squared_error
0.5862184221494942
total_cost
0
area_under_roc_curve
0.903596848553745 [0.902986,0.91756,0.848485,0.891663]
area_under_roc_curve
0.9184343660137673 [0.913303,0.938988,0.84751,0.908169]
area_under_roc_curve
0.9114483271570296 [0.906372,0.919345,0.875864,0.919072]
area_under_roc_curve
0.921948598003022 [0.920859,0.927381,0.906167,0.917367]
area_under_roc_curve
0.9008348153357197 [0.890463,0.918155,0.878788,0.893271]
area_under_roc_curve
0.9163065377206283 [0.917052,0.92619,0.924242,0.886167]
area_under_roc_curve
0.9058063974953213 [0.91,0.907605,0.856451,0.909169]
area_under_roc_curve
0.903579445246112 [0.893756,0.916553,0.84375,0.920135]
area_under_roc_curve
0.913223634817548 [0.905683,0.932018,0.877811,0.899897]
area_under_roc_curve
0.9030429276967367 [0.886654,0.923352,0.846532,0.91819]
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
0.8763406135985119 [0.887324,0.889381,0.821429,0.835443]
f_measure
0.8962011177912337 [0.896396,0.91954,0.807018,0.871795]
f_measure
0.8860038205101872 [0.888383,0.897674,0.819672,0.876543]
f_measure
0.9008509476657425 [0.906178,0.905747,0.857143,0.89172]
f_measure
0.8765934172637672 [0.87037,0.890869,0.862069,0.862745]
f_measure
0.8950442674981897 [0.901602,0.902494,0.918033,0.849673]
f_measure
0.8801295280659761 [0.891892,0.883721,0.793103,0.873418]
f_measure
0.8780224528662101 [0.875878,0.888393,0.814815,0.881988]
f_measure
0.8890789097959998 [0.888383,0.910345,0.847458,0.853503]
f_measure
0.8760837118444477 [0.865604,0.900693,0.793103,0.875]
kappa
0.8124
kappa
0.8429769467397278
kappa
0.8275101271305189
kappa
0.849566823474188
kappa
0.8120636421081834
kappa
0.8405079638398623
kappa
0.8178550861749826
kappa
0.8149405772495756
kappa
0.8319673184142237
kappa
0.8125609568297315
kb_relative_information_score
0.8148748672437685
kb_relative_information_score
0.8409308845097939
kb_relative_information_score
0.8342202298868042
kb_relative_information_score
0.8553534027294929
kb_relative_information_score
0.8186175227242866
kb_relative_information_score
0.8462276790117849
kb_relative_information_score
0.8226353329100875
kb_relative_information_score
0.8203946558428001
kb_relative_information_score
0.8353756072425851
kb_relative_information_score
0.8183434667069026
mean_absolute_error
0.06135531135531135
mean_absolute_error
0.05128205128205128
mean_absolute_error
0.056776556776556776
mean_absolute_error
0.04945054945054945
mean_absolute_error
0.06135531135531135
mean_absolute_error
0.0521978021978022
mean_absolute_error
0.05963302752293578
mean_absolute_error
0.060550458715596334
mean_absolute_error
0.05504587155963303
mean_absolute_error
0.061467889908256884
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
0.8834857755151838 [0.921951,0.830579,1,0.868421]
precision
0.8990078107230574 [0.892377,0.888889,0.958333,0.918919]
precision
0.886770890310116 [0.890411,0.877273,0.892857,0.898734]
precision
0.902596167342711 [0.912442,0.875556,0.9,0.945946]
precision
0.8829371795842604 [0.886792,0.83682,1,0.942857]
precision
0.898725314623932 [0.907834,0.861472,1,0.928571]
precision
0.8816433291479163 [0.883929,0.863636,0.884615,0.92]
precision
0.8847499218490698 [0.907767,0.832636,1,0.910256]
precision
0.8913280431062388 [0.894495,0.876106,0.961538,0.893333]
precision
0.8779933702285145 [0.87156,0.870536,0.92,0.897436]
predictive_accuracy
0.8772893772893773
predictive_accuracy
0.8974358974358974
predictive_accuracy
0.8864468864468864
predictive_accuracy
0.9010989010989011
predictive_accuracy
0.8772893772893773
predictive_accuracy
0.8956043956043956
predictive_accuracy
0.8807339449541284
predictive_accuracy
0.8788990825688073
predictive_accuracy
0.889908256880734
predictive_accuracy
0.8770642201834862
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
recall
0.8772893772893773 [0.855204,0.957143,0.69697,0.804878]
recall
0.8974358974358975 [0.900452,0.952381,0.69697,0.829268]
recall
0.8864468864468864 [0.886364,0.919048,0.757576,0.855422]
recall
0.9010989010989011 [0.9,0.938095,0.818182,0.843373]
recall
0.8772893772893773 [0.854545,0.952381,0.757576,0.795181]
recall
0.8956043956043956 [0.895455,0.947619,0.848485,0.783133]
recall
0.8807339449541285 [0.9,0.904762,0.71875,0.831325]
recall
0.8788990825688073 [0.846154,0.952153,0.6875,0.855422]
recall
0.8899082568807339 [0.882353,0.947368,0.757576,0.817073]
recall
0.8770642201834863 [0.859729,0.933014,0.69697,0.853659]
relative_absolute_error
0.18528319986547703
relative_absolute_error
0.15486357003681664
relative_absolute_error
0.1713364261484937
relative_absolute_error
0.14922850019384937
relative_absolute_error
0.18515387987014642
relative_absolute_error
0.157518972426841
relative_absolute_error
0.18009459914108747
relative_absolute_error
0.18287530772287372
relative_absolute_error
0.16620827479768113
relative_absolute_error
0.18559924019074392
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
0.24770004310720528
root_mean_squared_error
0.22645540682891915
root_mean_squared_error
0.23827831789014453
root_mean_squared_error
0.22237479499833035
root_mean_squared_error
0.24770004310720528
root_mean_squared_error
0.22846838336584385
root_mean_squared_error
0.24419874594873697
root_mean_squared_error
0.24607002807249065
root_mean_squared_error
0.2346185661017325
root_mean_squared_error
0.24792718670661532
root_relative_squared_error
0.6088582311172638
root_relative_squared_error
0.5566379266600352
root_relative_squared_error
0.5852903845791159
root_relative_squared_error
0.546226070578863
root_relative_squared_error
0.6084332589477128
root_relative_squared_error
0.5611939397105105
root_relative_squared_error
0.6002932962985615
root_relative_squared_error
0.6049264809606809
root_relative_squared_error
0.5766289849499363
root_relative_squared_error
0.6093379751973228
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
3121.8704239997805
usercpu_time_millis
2594.87306799997
usercpu_time_millis
2627.852816000086
usercpu_time_millis
2917.6428309999665
usercpu_time_millis
3031.0974719998285
usercpu_time_millis
3848.678467999889
usercpu_time_millis
3849.815330999945
usercpu_time_millis
4170.049315999904
usercpu_time_millis
3284.766910999906
usercpu_time_millis
2995.6261750000976
usercpu_time_millis_testing
114.52235399997335
usercpu_time_millis_testing
108.61256600014713
usercpu_time_millis_testing
109.65046899991648
usercpu_time_millis_testing
109.23231199990369
usercpu_time_millis_testing
175.50390499991408
usercpu_time_millis_testing
173.83590399981586
usercpu_time_millis_testing
169.70818400000098
usercpu_time_millis_testing
175.6364630000462
usercpu_time_millis_testing
108.71573899999021
usercpu_time_millis_testing
119.02769600010288
usercpu_time_millis_training
3007.348069999807
usercpu_time_millis_training
2486.2605019998227
usercpu_time_millis_training
2518.2023470001695
usercpu_time_millis_training
2808.410519000063
usercpu_time_millis_training
2855.5935669999144
usercpu_time_millis_training
3674.8425640000733
usercpu_time_millis_training
3680.1071469999442
usercpu_time_millis_training
3994.412852999858
usercpu_time_millis_training
3176.051171999916
usercpu_time_millis_training
2876.5984789999948
wall_clock_time_millis
3122.495412826538
wall_clock_time_millis
2595.449924468994
wall_clock_time_millis
2628.1566619873047
wall_clock_time_millis
2918.048620223999
wall_clock_time_millis
3031.661033630371
wall_clock_time_millis
3848.832368850708
wall_clock_time_millis
3849.9765396118164
wall_clock_time_millis
4170.128345489502
wall_clock_time_millis
3284.8305702209473
wall_clock_time_millis
2995.70631980896
wall_clock_time_millis_testing
114.54391479492188
wall_clock_time_millis_testing
108.62016677856445
wall_clock_time_millis_testing
109.65847969055176
wall_clock_time_millis_testing
109.24053192138672
wall_clock_time_millis_testing
175.5352020263672
wall_clock_time_millis_testing
173.86484146118164
wall_clock_time_millis_testing
169.71898078918457
wall_clock_time_millis_testing
175.64892768859863
wall_clock_time_millis_testing
108.72244834899902
wall_clock_time_millis_testing
119.03500556945801
wall_clock_time_millis_training
3007.951498031616
wall_clock_time_millis_training
2486.8297576904297
wall_clock_time_millis_training
2518.498182296753
wall_clock_time_millis_training
2808.8080883026123
wall_clock_time_millis_training
2856.125831604004
wall_clock_time_millis_training
3674.9675273895264
wall_clock_time_millis_training
3680.257558822632
wall_clock_time_millis_training
3994.4794178009033
wall_clock_time_millis_training
3176.1081218719482
wall_clock_time_millis_training
2876.671314239502