10584723
28997
Marc Boel
9960
Supervised Classification
19039
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder),gradientboostingclassifier=sklearn.ensemble._gb.GradientBoostingClassifier)(2)
8301005
Python_3.7.12. Sklearn_1.0.1. NumPy_1.19.5. SciPy_1.4.1.
n_jobs
null
19031
remainder
"drop"
19031
sparse_threshold
0.3
19031
transformer_weights
null
19031
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cont"}}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cat"}}}]
19031
verbose
false
19031
verbose_feature_names_out
true
19031
add_indicator
false
19032
copy
true
19032
fill_value
null
19032
missing_values
NaN
19032
strategy
"most_frequent"
19032
verbose
0
19032
categories
"auto"
19033
drop
null
19033
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
19033
handle_unknown
"ignore"
19033
sparse
true
19033
memory
null
19039
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gradientboostingclassifier", "step_name": "gradientboostingclassifier"}}]
19039
verbose
false
19039
ccp_alpha
0.0
19040
criterion
"friedman_mse"
19040
init
null
19040
learning_rate
0.014205782498602205
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
1195
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
18
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
6
19040
random_state
51933
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.3416974827341247
19040
verbose
0
19040
warm_start
false
19040
openml-python
Sklearn_1.0.1.
1497
wall-robot-navigation
https://www.openml.org/data/download/1592289/phpVeNa5j
-1
22095714
description
https://api.openml.org/data/download/22095714/description.xml
-1
22095715
predictions
https://api.openml.org/data/download/22095715/predictions.arff
area_under_roc_curve
0.9995096703407448 [0.999473,0.999873,0.998415,0.999121]
average_cost
0
f_measure
0.9847857232876658 [0.982793,0.996663,0.933549,0.980296]
kappa
0.9771820768690108
kb_relative_information_score
0.8463974707989184
mean_absolute_error
0.0778281989271789
mean_prior_absolute_error
0.3312381502905654
weighted_recall
0.9849706744868035 [0.997279,0.997139,0.878049,0.96368]
number_of_instances
5456 [2205,2097,328,826]
precision
0.9853071002180278 [0.968722,0.996189,0.99654,0.997494]
predictive_accuracy
0.9849706744868035
prior_entropy
1.7146330399083418
relative_absolute_error
0.23496145857265305
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.11530337259305859
root_relative_squared_error
0.28333997499566504
total_cost
0
unweighted_recall
0.9590367122831475 [0.997279,0.997139,0.878049,0.96368]
area_under_roc_curve
0.9979379416562726 [0.998998,0.998937,0.999409,0.991931]
area_under_roc_curve
0.9990752247702315 [0.998531,1,0.994536,1]
area_under_roc_curve
0.9994699664839356 [0.998996,0.999915,0.998464,1]
area_under_roc_curve
0.9992974340064533 [0.998745,0.999972,0.996987,0.999974]
area_under_roc_curve
0.9998432735221024 [0.999735,1,0.999173,1]
area_under_roc_curve
0.9998186478778137 [0.999721,1,0.999055,0.999922]
area_under_roc_curve
0.9999467342393464 [0.99993,1,0.999574,1]
area_under_roc_curve
0.9999654326871452 [0.999944,1,1,0.999922]
area_under_roc_curve
0.9998728191385361 [0.999846,1,0.998994,0.999974]
area_under_roc_curve
0.9999109185370676 [0.999916,1,0.999941,0.999658]
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
0.9832037527940201 [0.982063,0.992908,0.918033,0.987654]
f_measure
0.984467741709121 [0.982222,1,0.862069,1]
f_measure
0.9850510735401296 [0.982063,0.997625,0.918033,0.987805]
f_measure
0.975188016578824 [0.973451,0.995215,0.827586,0.987805]
f_measure
0.990731374058223 [0.99095,0.995261,0.952381,0.993939]
f_measure
0.9758757515204904 [0.971175,0.997625,0.935484,0.949367]
f_measure
0.9944917392388161 [0.993228,0.997613,0.984127,0.993939]
f_measure
0.9908096599044303 [0.988764,0.997602,1,0.97561]
f_measure
0.9869438336150963 [0.986607,0.997613,0.935484,0.981366]
f_measure
0.9796284083052319 [0.977876,0.995192,0.984615,0.942675]
kappa
0.9749511920357634
kappa
0.9776981282357627
kappa
0.9777640896156059
kappa
0.9637576079408521
kappa
0.9861393176279448
kappa
0.9637494637494637
kappa
0.991669935855959
kappa
0.9861183278825484
kappa
0.9804892268824187
kappa
0.9693358226132327
kb_relative_information_score
0.843004190516632
kb_relative_information_score
0.8354057937071666
kb_relative_information_score
0.8445068916885152
kb_relative_information_score
0.8339305084130341
kb_relative_information_score
0.8520127443546406
kb_relative_information_score
0.8407033932416066
kb_relative_information_score
0.8543652298223776
kb_relative_information_score
0.8604667097125025
kb_relative_information_score
0.8507793580931705
kb_relative_information_score
0.8488950673552516
mean_absolute_error
0.07927359640206579
mean_absolute_error
0.07898311697525648
mean_absolute_error
0.07786016494650436
mean_absolute_error
0.08043512476107786
mean_absolute_error
0.07688997441757804
mean_absolute_error
0.08029320473162993
mean_absolute_error
0.07640058526198996
mean_absolute_error
0.07365370457710317
mean_absolute_error
0.07694695687127537
mean_absolute_error
0.07753314566918604
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
0.9837892311131748 [0.973333,0.985915,1,1]
precision
0.9858598461218548 [0.965066,1,1,1]
precision
0.9856970330484568 [0.969027,0.995261,1,1]
precision
0.9767411898446381 [0.948276,1,0.96,1]
precision
0.9909265475303211 [0.986486,0.990566,1,1]
precision
0.9772457287690869 [0.948052,0.995261,1,1]
precision
0.9945694655860451 [0.986547,1,1,1]
precision
0.9908786790285261 [0.982143,1,1,0.987654]
precision
0.987455692134187 [0.973568,0.995238,1,1]
precision
0.980439572659756 [0.95671,1,1,0.986667]
predictive_accuracy
0.9835164835164835
predictive_accuracy
0.9853479853479854
predictive_accuracy
0.9853479853479854
predictive_accuracy
0.9761904761904762
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.9908256880733946
predictive_accuracy
0.9871559633027523
predictive_accuracy
0.9798165137614678
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
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relative_absolute_error
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relative_absolute_error
0.23496110293843192
relative_absolute_error
0.24273164129357183
relative_absolute_error
0.23203332803718982
relative_absolute_error
0.24230336469447844
relative_absolute_error
0.23073342656651977
relative_absolute_error
0.2224499066593854
relative_absolute_error
0.23233751397053026
relative_absolute_error
0.23410748192718095
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
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root_mean_prior_squared_error
0.4068795919478491
root_mean_prior_squared_error
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root_mean_squared_error
0.12074731544307922
root_mean_squared_error
0.1221262987023144
root_mean_squared_error
0.11660414391662247
root_mean_squared_error
0.12486595133758878
root_mean_squared_error
0.10979907359770931
root_mean_squared_error
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root_mean_squared_error
0.10714445354537062
root_mean_squared_error
0.10425233727074157
root_mean_squared_error
0.1116455107190489
root_mean_squared_error
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root_relative_squared_error
0.2968025195740991
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
0.2697028524519896
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
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
unweighted_recall
0.9537612077066884 [0.99095,1,0.848485,0.97561]
unweighted_recall
0.9393939393939394 [1,1,0.757576,1]
unweighted_recall
0.9549607520993064 [0.995455,1,0.848485,0.975904]
unweighted_recall
0.9234131330516874 [1,0.990476,0.727273,0.975904]
unweighted_recall
0.9731243154435926 [0.995455,1,0.909091,0.987952]
unweighted_recall
0.9444642205184375 [0.995455,1,0.878788,0.903614]
unweighted_recall
0.9879849756167527 [1,0.995238,0.96875,0.987952]
unweighted_recall
0.9886364614534259 [0.995475,0.995215,1,0.963855]
unweighted_recall
0.9605506282335551 [1,1,0.878788,0.963415]
unweighted_recall
0.9656416540241957 [1,0.990431,0.969697,0.902439]
usercpu_time_millis
11615.241111000614
usercpu_time_millis
11599.575598999763
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
11631.829469999502
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
10.681769999791868
usercpu_time_millis_testing
10.323655000320286
usercpu_time_millis_testing
10.253888000079314
usercpu_time_millis_testing
9.982403999856615
usercpu_time_millis_testing
10.552792999988014
usercpu_time_millis_testing
10.549616999924183
usercpu_time_millis_testing
10.357838999880187
usercpu_time_millis_testing
9.792825999284105
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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usercpu_time_millis_training
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
11885.424137115479
wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis_testing
9.687423706054688
wall_clock_time_millis_testing
10.68878173828125
wall_clock_time_millis_testing
10.391712188720703
wall_clock_time_millis_testing
10.260820388793945
wall_clock_time_millis_testing
9.98997688293457
wall_clock_time_millis_testing
10.559558868408203
wall_clock_time_millis_testing
10.621309280395508
wall_clock_time_millis_testing
10.487556457519531
wall_clock_time_millis_testing
9.79924201965332
wall_clock_time_millis_testing
6.407976150512695
wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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weighted_recall
0.9835164835164835 [0.99095,1,0.848485,0.97561]
weighted_recall
0.9853479853479854 [1,1,0.757576,1]
weighted_recall
0.9853479853479854 [0.995455,1,0.848485,0.975904]
weighted_recall
0.9761904761904762 [1,0.990476,0.727273,0.975904]
weighted_recall
0.9908424908424909 [0.995455,1,0.909091,0.987952]
weighted_recall
0.9761904761904762 [0.995455,1,0.878788,0.903614]
weighted_recall
0.9944954128440368 [1,0.995238,0.96875,0.987952]
weighted_recall
0.9908256880733946 [0.995475,0.995215,1,0.963855]
weighted_recall
0.9871559633027523 [1,1,0.878788,0.963415]
weighted_recall
0.9798165137614679 [1,0.990431,0.969697,0.902439]