10363551
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)
8218997
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
copy
true
13294
with_mean
true
13294
with_std
true
13294
C
4268.510636410245
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.0061078893286028715
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
44653
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
21648804
description
https://api.openml.org/data/download/21648804/description.xml
-1
21648805
predictions
https://api.openml.org/data/download/21648805/predictions.arff
area_under_roc_curve
0.944496810319842 [0.933947,0.951794,0.94755,0.952921]
average_cost
0
f_measure
0.9282064288240023 [0.920243,0.941883,0.914729,0.920097]
kappa
0.891404995898654
kb_relative_information_score
0.8998013348175298
mean_absolute_error
0.03592375366568915
mean_prior_absolute_error
0.3312381502905654
number_of_instances
5456 [2205,2097,328,826]
precision
0.9283930639968965 [0.911843,0.948718,0.930599,0.920097]
predictive_accuracy
0.9281524926686217
prior_entropy
1.7146330399083418
recall
0.9281524926686217 [0.928798,0.935145,0.89939,0.920097]
relative_absolute_error
0.1084529473255918
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0.40694354051108633
root_mean_squared_error
0.18953562637585883
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0.4657541096187895
total_cost
0
area_under_roc_curve
0.9403402017421982 [0.931584,0.949702,0.921318,0.947619]
area_under_roc_curve
0.9508579481787286 [0.937647,0.96994,0.908116,0.954794]
area_under_roc_curve
0.9541062554517757 [0.942108,0.963393,0.951621,0.9634]
area_under_roc_curve
0.9506305891580151 [0.941313,0.954762,0.966773,0.958456]
area_under_roc_curve
0.933702458077075 [0.919325,0.943155,0.922293,0.952432]
area_under_roc_curve
0.9504517662250471 [0.945915,0.95506,0.969697,0.943168]
area_under_roc_curve
0.9332056913439474 [0.92965,0.929424,0.963877,0.940372]
area_under_roc_curve
0.9409120971620971 [0.926764,0.950722,0.953125,0.949173]
area_under_roc_curve
0.9538844816521822 [0.947335,0.959971,0.951616,0.956935]
area_under_roc_curve
0.9368385573796953 [0.917819,0.941793,0.967744,0.963033]
average_cost
0
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0
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0
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0
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0
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0
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0
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0
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0
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0.9211930138134957 [0.918552,0.938095,0.875,0.903614]
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f_measure
0.9396545088098038 [0.930023,0.956731,0.909091,0.934132]
f_measure
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f_measure
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f_measure
0.9359697762458049 [0.934537,0.945107,0.96875,0.903614]
f_measure
0.9138982021772318 [0.912281,0.918519,0.895522,0.91358]
f_measure
0.9250494274529167 [0.911111,0.941748,0.95082,0.91018]
f_measure
0.9395674448070472 [0.935412,0.953771,0.909091,0.926829]
f_measure
0.9192377623832407 [0.902494,0.92823,0.939394,0.933333]
kappa
0.8809818314542947
kappa
0.90285783999756
kappa
0.9088780438465623
kappa
0.9033031756633676
kappa
0.872425370670432
kappa
0.9031198353392074
kappa
0.8696291696780301
kappa
0.8860466420859916
kappa
0.908522629014374
kappa
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kb_relative_information_score
0.8873210325649478
kb_relative_information_score
0.9037812375306983
kb_relative_information_score
0.915853554736841
kb_relative_information_score
0.9126505485833709
kb_relative_information_score
0.8809425764144436
kb_relative_information_score
0.9107716272276282
kb_relative_information_score
0.8826710361988982
kb_relative_information_score
0.8958189178739321
kb_relative_information_score
0.9145782697230641
kb_relative_information_score
0.8935455160074325
mean_absolute_error
0.039377289377289376
mean_absolute_error
0.03205128205128205
mean_absolute_error
0.03021978021978022
mean_absolute_error
0.03205128205128205
mean_absolute_error
0.04212454212454213
mean_absolute_error
0.03205128205128205
mean_absolute_error
0.043119266055045874
mean_absolute_error
0.03761467889908257
mean_absolute_error
0.030275229357798167
mean_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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number_of_instances
546 [221,210,33,82]
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number_of_instances
546 [220,210,33,83]
number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
545 [221,209,33,82]
number_of_instances
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precision
0.9212834016981483 [0.918552,0.938095,0.903226,0.892857]
precision
0.9362149945034042 [0.923423,0.957547,0.964286,0.904762]
precision
0.939861182770881 [0.923767,0.966019,0.909091,0.928571]
precision
0.9364402753580138 [0.915929,0.960784,0.911765,0.939024]
precision
0.915944982046064 [0.908257,0.912442,0.933333,0.938272]
precision
0.9361952656736702 [0.928251,0.947368,1,0.903614]
precision
0.9162961546129312 [0.881356,0.953846,0.857143,0.936709]
precision
0.9259956994323295 [0.895197,0.955665,1,0.904762]
precision
0.9400820381410425 [0.921053,0.970297,0.909091,0.926829]
precision
0.9192235497452697 [0.904545,0.92823,0.939394,0.927711]
predictive_accuracy
0.9212454212454213
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predictive_accuracy
0.9395604395604396
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.9192660550458716
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
0.9212454212454212 [0.918552,0.938095,0.848485,0.914634]
recall
0.9358974358974359 [0.927602,0.966667,0.818182,0.926829]
recall
0.9395604395604396 [0.936364,0.947619,0.909091,0.939759]
recall
0.9358974358974359 [0.940909,0.933333,0.939394,0.927711]
recall
0.9157509157509157 [0.9,0.942857,0.848485,0.915663]
recall
0.9358974358974359 [0.940909,0.942857,0.939394,0.903614]
recall
0.9137614678899083 [0.945455,0.885714,0.9375,0.891566]
recall
0.9247706422018349 [0.927602,0.92823,0.90625,0.915663]
recall
0.9394495412844037 [0.950226,0.937799,0.909091,0.926829]
recall
0.9192660550458716 [0.900452,0.92823,0.939394,0.939024]
relative_absolute_error
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relative_absolute_error
0.0967897312730104
relative_absolute_error
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total_cost
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