10559465
8323
Heinrich Peters
9960
Supervised Classification
17494
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(4)
8272177
copy
true
17405
with_mean
true
17405
with_std
true
17405
add_indicator
false
17407
copy
true
17407
fill_value
null
17407
missing_values
NaN
17407
strategy
"median"
17407
verbose
0
17407
memory
null
17494
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"}}]
17494
verbose
false
17494
C
14323.47583138456
17495
cache_size
200
17495
class_weight
null
17495
coef0
0.19270740154340582
17495
decision_function_shape
"ovr"
17495
degree
4
17495
gamma
1.3587589842430956e-05
17495
kernel
"sigmoid"
17495
max_iter
-1
17495
probability
true
17495
random_state
1
17495
shrinking
true
17495
tol
0.001
17495
verbose
false
17495
openml-python
Sklearn_0.21.2.
1497
wall-robot-navigation
https://www.openml.org/data/download/1592289/phpVeNa5j
-1
22043902
description
https://api.openml.org/data/download/22043902/description.xml
-1
22043903
predictions
https://api.openml.org/data/download/22043903/predictions.arff
area_under_roc_curve
0.8899441536660987 [0.874313,0.880982,0.969878,0.922681]
average_cost
0
f_measure
0.7174750902963676 [0.742197,0.750541,0.620232,0.606149]
kappa
0.570497565742644
kb_relative_information_score
0.510159670544741
mean_absolute_error
0.19806971845752439
mean_prior_absolute_error
0.3312381502905654
weighted_recall
0.7219574780058651 [0.727891,0.826419,0.570122,0.501211]
number_of_instances
5456 [2205,2097,328,826]
precision
0.7271241966396853 [0.757075,0.687426,0.68,0.766667]
predictive_accuracy
0.7219574780058652
prior_entropy
1.7146330399083418
relative_absolute_error
0.5979677107959203
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.3079993041107672
root_relative_squared_error
0.7568600394146725
total_cost
0
unweighted_recall
0.6564106137016518 [0.727891,0.826419,0.570122,0.501211]
area_under_roc_curve
0.8956910410451507 [0.887463,0.884751,0.972237,0.915081]
area_under_roc_curve
0.8860468317494171 [0.874375,0.872435,0.969283,0.918866]
area_under_roc_curve
0.8799807067693594 [0.861405,0.865972,0.970229,0.928778]
area_under_roc_curve
0.894495931747503 [0.875864,0.893849,0.954988,0.921466]
area_under_roc_curve
0.8864996412105292 [0.86135,0.882596,0.96763,0.930781]
area_under_roc_curve
0.8826546745768094 [0.87355,0.868396,0.963376,0.910771]
area_under_roc_curve
0.88051973378269 [0.85628,0.874499,0.979837,0.921713]
area_under_roc_curve
0.8979043469808801 [0.889434,0.879115,0.98605,0.933787]
area_under_roc_curve
0.9075260258804678 [0.901402,0.900319,0.963364,0.919928]
area_under_roc_curve
0.8907845746220818 [0.863723,0.891262,0.977332,0.927672]
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
0.7306976697960432 [0.778281,0.757112,0.561404,0.602941]
f_measure
0.7005908171441058 [0.729792,0.734783,0.603175,0.573529]
f_measure
0.722135748676933 [0.737589,0.742489,0.738462,0.623188]
f_measure
0.7170849208270225 [0.741784,0.760085,0.45283,0.647887]
f_measure
0.7130279372343629 [0.717949,0.746781,0.557377,0.676471]
f_measure
0.7068564059182422 [0.734694,0.747253,0.705882,0.53125]
f_measure
0.6911599625447675 [0.703448,0.741228,0.666667,0.541353]
f_measure
0.7237484540229667 [0.758621,0.740576,0.711864,0.593103]
f_measure
0.7338217652889926 [0.76815,0.766949,0.571429,0.622222]
f_measure
0.7306964943440518 [0.751152,0.767241,0.581818,0.642336]
kappa
0.590894190493535
kappa
0.5453435809378007
kappa
0.5779981965734895
kappa
0.5715510655878271
kappa
0.561622974001958
kappa
0.5590300068338545
kappa
0.533649333340248
kappa
0.5795602222187706
kappa
0.5957205618852095
kappa
0.5900136348676477
kb_relative_information_score
0.5202216633309259
kb_relative_information_score
0.4961516669560197
kb_relative_information_score
0.5054375808483982
kb_relative_information_score
0.5073981761211472
kb_relative_information_score
0.5120881134953075
kb_relative_information_score
0.4962423944864875
kb_relative_information_score
0.5078554120607776
kb_relative_information_score
0.5306576718065068
kb_relative_information_score
0.5202951220886852
kb_relative_information_score
0.5053390596619607
mean_absolute_error
0.19341193113281224
mean_absolute_error
0.20205845836650288
mean_absolute_error
0.19962669156782797
mean_absolute_error
0.19749185428355948
mean_absolute_error
0.19843365337880967
mean_absolute_error
0.20282281542460423
mean_absolute_error
0.19836782141231565
mean_absolute_error
0.1929766402547317
mean_absolute_error
0.19282684593880145
mean_absolute_error
0.20267051484572213
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
0.7387257866340188 [0.778281,0.700405,0.666667,0.759259]
precision
0.7084061710476804 [0.745283,0.676,0.633333,0.722222]
precision
0.7337344523805422 [0.768473,0.675781,0.75,0.781818]
precision
0.727605708773254 [0.76699,0.685824,0.6,0.779661]
precision
0.7269470481550653 [0.736842,0.679688,0.607143,0.867925]
precision
0.7185365138823446 [0.733032,0.693878,0.685714,0.755556]
precision
0.699618925817893 [0.711628,0.686992,0.647059,0.72]
precision
0.7285832550584883 [0.771028,0.690083,0.777778,0.693548]
precision
0.7481025748413914 [0.796117,0.688213,0.695652,0.792453]
precision
0.7424078198277633 [0.765258,0.698039,0.727273,0.8]
predictive_accuracy
0.7362637362637362
predictive_accuracy
0.7051282051282051
predictive_accuracy
0.7252747252747253
predictive_accuracy
0.7234432234432235
predictive_accuracy
0.716117216117216
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.6972477064220183
predictive_accuracy
0.7266055045871559
predictive_accuracy
0.7394495412844038
predictive_accuracy
0.7357798165137615
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
0.5840730117873735
relative_absolute_error
0.6101841372660562
relative_absolute_error
0.6024198338001707
relative_absolute_error
0.5959774672414759
relative_absolute_error
0.5988195644078311
relative_absolute_error
0.612064878696132
relative_absolute_error
0.5990803211525935
relative_absolute_error
0.5828306377606407
relative_absolute_error
0.5822310827333568
relative_absolute_error
0.6119535520183862
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
0.30395769819499735
root_mean_squared_error
0.3117196910032647
root_mean_squared_error
0.3124892836936224
root_mean_squared_error
0.3066715220083787
root_mean_squared_error
0.30859477420782605
root_mean_squared_error
0.313048153279468
root_mean_squared_error
0.31309963960294535
root_mean_squared_error
0.30262679301709233
root_mean_squared_error
0.3002959035851247
root_mean_squared_error
0.3071606841755879
root_relative_squared_error
0.7471421649183309
root_relative_squared_error
0.7662215043964479
root_relative_squared_error
0.7675770697450334
root_relative_squared_error
0.7532867222039877
root_relative_squared_error
0.7580108659256003
root_relative_squared_error
0.7689498383532956
root_relative_squared_error
0.7696665844737758
root_relative_squared_error
0.7439628563390731
root_relative_squared_error
0.7380461186257149
root_relative_squared_error
0.7549178927975271
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
0.6467346379111085 [0.778281,0.82381,0.484848,0.5]
unweighted_recall
0.6427653408284685 [0.714932,0.804762,0.575758,0.47561]
unweighted_recall
0.6945613623324467 [0.709091,0.82381,0.727273,0.518072]
unweighted_recall
0.6221040004172533 [0.718182,0.852381,0.363636,0.554217]
unweighted_recall
0.6494849527982058 [0.7,0.828571,0.515152,0.554217]
unweighted_recall
0.6706996818442601 [0.736364,0.809524,0.727273,0.409639]
unweighted_recall
0.6553628474938716 [0.695455,0.804762,0.6875,0.433735]
unweighted_recall
0.6799929215498031 [0.746606,0.799043,0.65625,0.518072]
unweighted_recall
0.6512884407243692 [0.742081,0.866029,0.484848,0.512195]
unweighted_recall
0.6526662632341104 [0.737557,0.851675,0.484848,0.536585]
usercpu_time_millis
8654.196000000184
usercpu_time_millis
8855.14000000012
usercpu_time_millis
8647.284000000014
usercpu_time_millis
8785.531999999988
usercpu_time_millis
8889.448000000015
usercpu_time_millis
8631.04199999998
usercpu_time_millis
8704.708000000097
usercpu_time_millis
8644.716000000131
usercpu_time_millis
8625.633999999991
usercpu_time_millis
8589.02599999999
usercpu_time_millis_testing
122.53200000009201
usercpu_time_millis_testing
122.62400000008711
usercpu_time_millis_testing
121.53000000000702
usercpu_time_millis_testing
122.28000000004613
usercpu_time_millis_testing
128.83799999997336
usercpu_time_millis_testing
121.81199999997716
usercpu_time_millis_testing
123.59200000003057
usercpu_time_millis_testing
119.88800000005995
usercpu_time_millis_testing
118.34399999997913
usercpu_time_millis_testing
122.87400000002435
usercpu_time_millis_training
8531.664000000092
usercpu_time_millis_training
8732.516000000032
usercpu_time_millis_training
8525.754000000006
usercpu_time_millis_training
8663.251999999942
usercpu_time_millis_training
8760.610000000042
usercpu_time_millis_training
8509.230000000003
usercpu_time_millis_training
8581.116000000065
usercpu_time_millis_training
8524.82800000007
usercpu_time_millis_training
8507.290000000012
usercpu_time_millis_training
8466.151999999965
wall_clock_time_millis
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wall_clock_time_millis
4689.413070678711
wall_clock_time_millis
4722.461700439453
wall_clock_time_millis
4965.867280960083
wall_clock_time_millis
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wall_clock_time_millis
4877.742290496826
wall_clock_time_millis
4946.7315673828125
wall_clock_time_millis
4789.633989334106
wall_clock_time_millis
4838.543891906738
wall_clock_time_millis
4821.366786956787
wall_clock_time_millis_testing
72.13401794433594
wall_clock_time_millis_testing
70.83010673522949
wall_clock_time_millis_testing
66.7867660522461
wall_clock_time_millis_testing
68.47906112670898
wall_clock_time_millis_testing
68.90416145324707
wall_clock_time_millis_testing
74.27215576171875
wall_clock_time_millis_testing
74.85222816467285
wall_clock_time_millis_testing
61.177968978881836
wall_clock_time_millis_testing
63.78602981567383
wall_clock_time_millis_testing
71.39277458190918
wall_clock_time_millis_training
4576.465845108032
wall_clock_time_millis_training
4618.582963943481
wall_clock_time_millis_training
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wall_clock_time_millis_training
4897.388219833374
wall_clock_time_millis_training
4719.977855682373
wall_clock_time_millis_training
4803.470134735107
wall_clock_time_millis_training
4871.87933921814
wall_clock_time_millis_training
4728.456020355225
wall_clock_time_millis_training
4774.757862091064
wall_clock_time_millis_training
4749.974012374878
weighted_recall
0.7362637362637363 [0.778281,0.82381,0.484848,0.5]
weighted_recall
0.7051282051282052 [0.714932,0.804762,0.575758,0.47561]
weighted_recall
0.7252747252747253 [0.709091,0.82381,0.727273,0.518072]
weighted_recall
0.7234432234432234 [0.718182,0.852381,0.363636,0.554217]
weighted_recall
0.7161172161172161 [0.7,0.828571,0.515152,0.554217]
weighted_recall
0.7142857142857143 [0.736364,0.809524,0.727273,0.409639]
weighted_recall
0.6972477064220184 [0.695455,0.804762,0.6875,0.433735]
weighted_recall
0.726605504587156 [0.746606,0.799043,0.65625,0.518072]
weighted_recall
0.7394495412844037 [0.742081,0.866029,0.484848,0.512195]
weighted_recall
0.7357798165137615 [0.737557,0.851675,0.484848,0.536585]