10382191
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)
8231671
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
8.027999527330278
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.0018226101930636821
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
21686091
description
https://api.openml.org/data/download/21686091/description.xml
-1
21686092
predictions
https://api.openml.org/data/download/21686092/predictions.arff
area_under_roc_curve
0.8266340812808192 [0.817976,0.864837,0.908589,0.720217]
average_cost
0
f_measure
0.7741847024815569 [0.783501,0.829323,0.821752,0.590446]
kappa
0.6629076593240959
kb_relative_information_score
0.6823119712392008
mean_absolute_error
0.10896260997067449
mean_prior_absolute_error
0.3312381502905654
number_of_instances
5456 [2205,2097,328,826]
precision
0.7860991883315318 [0.770614,0.778335,0.814371,0.83592]
predictive_accuracy
0.7820747800586509
prior_entropy
1.7146330399083418
recall
0.782074780058651 [0.796825,0.887458,0.829268,0.456416]
relative_absolute_error
0.3289554958421649
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.3300948499608476
root_relative_squared_error
0.8111563819056488
total_cost
0
area_under_roc_curve
0.8310214731494223 [0.830317,0.865476,0.874889,0.727029]
area_under_roc_curve
0.8231245111009177 [0.824887,0.863988,0.857788,0.699774]
area_under_roc_curve
0.8237012658988202 [0.814222,0.856548,0.932571,0.722436]
area_under_roc_curve
0.8389539618001278 [0.827231,0.883036,0.884193,0.740508]
area_under_roc_curve
0.8149209540934036 [0.786043,0.861012,0.931597,0.72846]
area_under_roc_curve
0.8212068252492658 [0.809621,0.861905,0.91547,0.711468]
area_under_roc_curve
0.8218219771558342 [0.809161,0.861692,0.930677,0.712538]
area_under_roc_curve
0.8312561179885741 [0.840777,0.851169,0.950201,0.709905]
area_under_roc_curve
0.8368708925904974 [0.834709,0.878653,0.905185,0.708713]
area_under_roc_curve
0.8234883917619923 [0.802616,0.864882,0.905185,0.741361]
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
0.7806232838248411 [0.798226,0.830357,0.806452,0.59542]
f_measure
0.7683551436081284 [0.792123,0.828508,0.761905,0.552846]
f_measure
0.7705139666884189 [0.778281,0.819383,0.84058,0.598425]
f_measure
0.7877358680672842 [0.793578,0.849015,0.753623,0.630769]
f_measure
0.7601074693376129 [0.744921,0.824834,0.828571,0.609375]
f_measure
0.7656381823464147 [0.773034,0.825607,0.8,0.580645]
f_measure
0.7693940858768167 [0.773913,0.827273,0.835821,0.585366]
f_measure
0.7792859891327044 [0.81069,0.813483,0.90625,0.560606]
f_measure
0.7854072011067423 [0.803571,0.844444,0.84375,0.5625]
f_measure
0.7743645094403726 [0.76652,0.829932,0.84375,0.625954]
kappa
0.6706927120433003
kappa
0.6548600445099206
kappa
0.6580363982691153
kappa
0.6841925871605116
kappa
0.641624890175203
kappa
0.6519625625770878
kappa
0.6556127111784213
kappa
0.6711094463693021
kappa
0.6815758448360408
kappa
0.6593803221824659
kb_relative_information_score
0.6852333846076526
kb_relative_information_score
0.6671860870603935
kb_relative_information_score
0.6817294903893013
kb_relative_information_score
0.6978871530808993
kb_relative_information_score
0.6695446527683282
kb_relative_information_score
0.6732115265699485
kb_relative_information_score
0.6782973146975796
kb_relative_information_score
0.6924890813435901
kb_relative_information_score
0.6952595288474173
kb_relative_information_score
0.6823291665334902
mean_absolute_error
0.10622710622710622
mean_absolute_error
0.1108058608058608
mean_absolute_error
0.1108058608058608
mean_absolute_error
0.10256410256410256
mean_absolute_error
0.1163003663003663
mean_absolute_error
0.11263736263736264
mean_absolute_error
0.11100917431192661
mean_absolute_error
0.10642201834862386
mean_absolute_error
0.10275229357798166
mean_absolute_error
0.11009174311926606
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
0.7889885545466518 [0.782609,0.781513,0.862069,0.795918]
precision
0.7826496795878399 [0.766949,0.778243,0.8,0.829268]
precision
0.7853435332943529 [0.774775,0.762295,0.805556,0.863636]
precision
0.8010633033173016 [0.800926,0.785425,0.722222,0.87234]
precision
0.7740900294014188 [0.73991,0.771784,0.783784,0.866667]
precision
0.7832119739978819 [0.764444,0.769547,0.756757,0.878049]
precision
0.7883313389176971 [0.741667,0.791304,0.8,0.9]
precision
0.786014904533698 [0.798246,0.766949,0.90625,0.755102]
precision
0.7943668321258954 [0.792952,0.788382,0.870968,0.782609]
precision
0.7839459919485539 [0.746781,0.788793,0.870968,0.836735]
predictive_accuracy
0.7875457875457876
predictive_accuracy
0.7783882783882784
predictive_accuracy
0.7783882783882784
predictive_accuracy
0.7948717948717949
predictive_accuracy
0.7673992673992674
predictive_accuracy
0.7747252747252747
predictive_accuracy
0.7779816513761467
predictive_accuracy
0.7871559633027523
predictive_accuracy
0.7944954128440367
predictive_accuracy
0.7798165137614679
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
0.7875457875457875 [0.81448,0.885714,0.757576,0.47561]
recall
0.7783882783882784 [0.819005,0.885714,0.727273,0.414634]
recall
0.7783882783882784 [0.781818,0.885714,0.878788,0.457831]
recall
0.7948717948717948 [0.786364,0.92381,0.787879,0.493976]
recall
0.7673992673992674 [0.75,0.885714,0.878788,0.46988]
recall
0.7747252747252747 [0.781818,0.890476,0.848485,0.433735]
recall
0.7779816513761468 [0.809091,0.866667,0.875,0.433735]
recall
0.7871559633027523 [0.823529,0.866029,0.90625,0.445783]
recall
0.7944954128440367 [0.81448,0.909091,0.818182,0.439024]
recall
0.7798165137614679 [0.78733,0.875598,0.818182,0.5]
relative_absolute_error
0.3207888236476916
relative_absolute_error
0.3346159281152646
relative_absolute_error
0.3343823800639958
relative_absolute_error
0.3095109633650209
relative_absolute_error
0.3509633245299791
relative_absolute_error
0.3399093615526569
relative_absolute_error
0.33525302301648585
relative_absolute_error
0.32141720751292957
relative_absolute_error
0.31025544628900475
relative_absolute_error
0.33241654959536227
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
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root_mean_prior_squared_error
0.4067990554858411
root_mean_prior_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
0.3205499860832654
root_mean_squared_error
0.3318007581655986
root_relative_squared_error
0.8011388171353815
root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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total_cost
0
total_cost
0
total_cost
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total_cost
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total_cost
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usercpu_time_millis
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