6122353
1
Jan van Rijn
9960
Supervised Classification
6952
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1)
4156522
axis
0
6947
categorical_features
[]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"median"
6947
strategy_nominal
"most_frequent"
6947
verbose
0
6947
categorical_features
[]
6948
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
6948
handle_unknown
"ignore"
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n_values
"auto"
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sparse
true
6948
threshold
0.0
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C
0.13106572979924297
6953
cache_size
200
6953
class_weight
null
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coef0
-0.5568343972265724
6953
decision_function_shape
null
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degree
3
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gamma
0.00010016702406065595
6953
kernel
"sigmoid"
6953
max_iter
-1
6953
probability
true
6953
random_state
38586
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shrinking
false
6953
tol
0.0004473739692275088
6953
verbose
false
6953
openml-pimp
openml-python
Sklearn_0.18.1.
1497
wall-robot-navigation
https://www.openml.org/data/download/1592289/phpVeNa5j
-1
13169917
description
https://api.openml.org/data/download/13169917/description.xml
-1
13169918
predictions
https://api.openml.org/data/download/13169918/predictions.arff
area_under_roc_curve
0.8318902334493214 [0.800858,0.837411,0.959913,0.849879]
average_cost
0
f_measure
0.6224662719491154 [0.604862,0.691941,0.584488,0.508162]
kappa
0.43988428957017744
kb_relative_information_score
2312.8076997317276
mean_absolute_error
0.22765723513120853
mean_prior_absolute_error
0.3312381502905654
number_of_instances
5456 [2205,2097,328,826]
precision
0.6504027211850877 [0.736021,0.592656,0.535533,0.614065]
predictive_accuracy
0.6312316715542522
prior_entropy
1.715110055559003
recall
0.6312316715542522 [0.513379,0.831187,0.643293,0.433414]
relative_absolute_error
0.6872917112099115
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.3463125794448688
root_relative_squared_error
0.8510089114817495
total_cost
0
area_under_roc_curve
0.8179856853327666 [0.782736,0.821088,0.959773,0.847981]
area_under_roc_curve
0.814391925443834 [0.787163,0.811933,0.947014,0.840701]
area_under_roc_curve
0.8131019841607399 [0.778974,0.81379,0.956052,0.844987]
area_under_roc_curve
0.854155134505029 [0.820524,0.868594,0.937149,0.873767]
area_under_roc_curve
0.8397364619910817 [0.798787,0.850057,0.95682,0.875615]
area_under_roc_curve
0.8211106475573773 [0.798773,0.820493,0.952389,0.829686]
area_under_roc_curve
0.8433826473827338 [0.814545,0.847392,0.977339,0.85803]
area_under_roc_curve
0.841957710473323 [0.814871,0.840695,0.982395,0.863115]
area_under_roc_curve
0.8462684955496264 [0.820611,0.860105,0.967803,0.831244]
area_under_roc_curve
0.8271515527829421 [0.791716,0.839428,0.967448,0.834905]
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
0.5937206994740184 [0.590078,0.662626,0.5,0.464789]
f_measure
0.6008071034076344 [0.579088,0.666667,0.630137,0.478873]
f_measure
0.6115291205589518 [0.563536,0.674419,0.684211,0.550725]
f_measure
0.65362703220297 [0.631285,0.72549,0.5,0.592105]
f_measure
0.6375383097627721 [0.61008,0.708171,0.520548,0.578125]
f_measure
0.6190923984960542 [0.614173,0.685832,0.581395,0.478261]
f_measure
0.6272079118003587 [0.615789,0.693387,0.666667,0.47482]
f_measure
0.6181499538569472 [0.605263,0.68008,0.730159,0.453333]
f_measure
0.6473752844019242 [0.650667,0.712598,0.507463,0.528571]
f_measure
0.6154300841914458 [0.588235,0.708661,0.529412,0.485714]
kappa
0.3935095308702365
kappa
0.40828516769781836
kappa
0.4279873062370316
kappa
0.4891828746548532
kappa
0.458714512458843
kappa
0.438056222630315
kappa
0.44720220074075206
kappa
0.43025812105093236
kappa
0.4735435870559341
kappa
0.43208767517067914
kb_relative_information_score
222.05707943261427
kb_relative_information_score
220.46936221239693
kb_relative_information_score
228.10866528167895
kb_relative_information_score
239.7584334396141
kb_relative_information_score
239.5137790569909
kb_relative_information_score
220.11076575582837
kb_relative_information_score
239.42244429146865
kb_relative_information_score
236.9463839264988
kb_relative_information_score
237.85243920939857
kb_relative_information_score
228.5683471252409
mean_absolute_error
0.2336389124383243
mean_absolute_error
0.23330111046953927
mean_absolute_error
0.22837706457985626
mean_absolute_error
0.2228483228658892
mean_absolute_error
0.22168451866987085
mean_absolute_error
0.23603417070843377
mean_absolute_error
0.22231256235687114
mean_absolute_error
0.22398306341513907
mean_absolute_error
0.22281015687396616
mean_absolute_error
0.2315642291379697
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
0.614152372676889 [0.697531,0.575439,0.461538,0.55]
precision
0.6272307370991582 [0.710526,0.571429,0.575,0.566667]
precision
0.6497049022665099 [0.71831,0.568627,0.604651,0.690909]
precision
0.6941504240835344 [0.818841,0.616667,0.461538,0.652174]
precision
0.6791018781506546 [0.732484,0.598684,0.475,0.822222]
precision
0.6444108284401291 [0.726708,0.602888,0.471698,0.6]
precision
0.6508166180665466 [0.73125,0.598616,0.6,0.589286]
precision
0.6391678291296408 [0.72327,0.586806,0.741935,0.507463]
precision
0.6796452505584178 [0.792208,0.605351,0.5,0.637931]
precision
0.641740699029119 [0.718954,0.602007,0.514286,0.586207]
predictive_accuracy
0.6007326007326007
predictive_accuracy
0.6098901098901098
predictive_accuracy
0.6227106227106227
predictive_accuracy
0.6611721611721612
predictive_accuracy
0.6465201465201466
predictive_accuracy
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predictive_accuracy
0.636697247706422
predictive_accuracy
0.6256880733944954
predictive_accuracy
0.6550458715596331
predictive_accuracy
0.6275229357798165
prior_entropy
1.715110055559003
prior_entropy
1.715110055559003
prior_entropy
1.715110055559003
prior_entropy
1.715110055559003
prior_entropy
1.715110055559003
prior_entropy
1.715110055559003
prior_entropy
1.715110055559003
prior_entropy
1.715110055559003
prior_entropy
1.715110055559003
prior_entropy
1.715110055559003
recall
0.6007326007326007 [0.511312,0.780952,0.545455,0.402439]
recall
0.6098901098901099 [0.488688,0.8,0.69697,0.414634]
recall
0.6227106227106227 [0.463636,0.828571,0.787879,0.457831]
recall
0.6611721611721612 [0.513636,0.880952,0.545455,0.542169]
recall
0.6465201465201466 [0.522727,0.866667,0.575758,0.445783]
recall
0.6263736263736264 [0.531818,0.795238,0.757576,0.39759]
recall
0.636697247706422 [0.531818,0.82381,0.75,0.39759]
recall
0.6256880733944954 [0.520362,0.808612,0.71875,0.409639]
recall
0.655045871559633 [0.552036,0.866029,0.515152,0.45122]
recall
0.6275229357798165 [0.497738,0.861244,0.545455,0.414634]
relative_absolute_error
0.7055520435545032
relative_absolute_error
0.7045319357868987
relative_absolute_error
0.6891807513687224
relative_absolute_error
0.6724964911713807
relative_absolute_error
0.6689844421320711
relative_absolute_error
0.7122878447395535
relative_absolute_error
0.6713945855975492
relative_absolute_error
0.6764766529539922
relative_absolute_error
0.6727642006958439
relative_absolute_error
0.699196687042763
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
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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
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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
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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_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
0.8316302554127019
root_relative_squared_error
0.8465581717215597
root_relative_squared_error
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root_relative_squared_error
0.832668820810108
root_relative_squared_error
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root_relative_squared_error
0.8308752607844702
root_relative_squared_error
0.856534178101799
total_cost
0
total_cost
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total_cost
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total_cost
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total_cost
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total_cost
0
total_cost
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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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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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