10584388
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)
8300670
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
"mean"
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
0.7965350256700504
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
81
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
186
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
17
19040
random_state
44986
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.37963465842034294
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
22095044
description
https://api.openml.org/data/download/22095044/description.xml
-1
22095045
predictions
https://api.openml.org/data/download/22095045/predictions.arff
area_under_roc_curve
0.9999562888199847 [0.999939,0.999988,0.999758,1]
average_cost
0
f_measure
0.9968798707502834 [0.996375,0.998093,0.984663,1]
kappa
0.9952944361293469
kb_relative_information_score
0.994917337092993
mean_absolute_error
0.001571852802937705
mean_prior_absolute_error
0.3312381502905654
weighted_recall
0.9968841642228738 [0.997279,0.998093,0.978659,1]
number_of_instances
5456 [2205,2097,328,826]
precision
0.9968806947771301 [0.995473,0.998093,0.990741,1]
predictive_accuracy
0.9968841642228738
prior_entropy
1.7146330399083418
relative_absolute_error
0.004745385764166537
root_mean_prior_squared_error
0.40694354051108633
root_mean_squared_error
0.03662135987008125
root_relative_squared_error
0.08999125486569451
total_cost
0
unweighted_recall
0.993507490315991 [0.997279,0.998093,0.978659,1]
area_under_roc_curve
0.9999612902360155 [0.999958,0.999943,1,1]
area_under_roc_curve
0.9997852619714966 [0.999708,1,0.998405,1]
area_under_roc_curve
0.9999552223752487 [0.999902,0.999986,1,1]
area_under_roc_curve
1 [1,1,1,1]
area_under_roc_curve
1 [1,1,1,1]
area_under_roc_curve
0.9999943818962225 [0.999986,1,1,1]
area_under_roc_curve
1 [1,1,1,1]
area_under_roc_curve
1 [1,1,1,1]
area_under_roc_curve
1 [1,1,1,1]
area_under_roc_curve
0.9999888759445335 [0.999986,0.999986,1,1]
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
0.9963445144331096 [0.995455,0.997625,0.985075,1]
f_measure
0.9905183995843035 [0.988814,1,0.918033,1]
f_measure
0.9963250830416918 [0.995455,0.997625,0.984615,1]
f_measure
0.9963865924819038 [0.997722,0.997613,0.970588,1]
f_measure
0.9981685873558463 [0.997722,0.997625,1,1]
f_measure
0.9963250830416918 [0.995455,0.997625,0.984615,1]
f_measure
0.9981650283842671 [0.997732,0.997613,1,1]
f_measure
0.9981650084906499 [0.997743,0.997602,1,1]
f_measure
1 [1,1,1,1]
f_measure
0.9981650084906499 [0.997743,0.997602,1,1]
kappa
0.9944725932749885
kappa
0.9861013532089073
kappa
0.9944697940352779
kappa
0.9944849041928869
kappa
0.9972375131546992
kappa
0.9944697940352779
kappa
0.9972279020559304
kappa
0.9972275636134258
kappa
1
kappa
0.9972289732456097
kb_relative_information_score
0.9955923811483683
kb_relative_information_score
0.9777299737641583
kb_relative_information_score
0.9933333274776122
kb_relative_information_score
0.9956011673136276
kb_relative_information_score
0.9977834645785351
kb_relative_information_score
0.9967103287644911
kb_relative_information_score
0.9972018271354436
kb_relative_information_score
0.9977906100840588
kb_relative_information_score
0.9998321973402143
kb_relative_information_score
0.9976183967575981
mean_absolute_error
0.0018876815283451014
mean_absolute_error
0.004655926501912023
mean_absolute_error
0.00186392853334968
mean_absolute_error
0.0018273618961842132
mean_absolute_error
0.0009366090077723143
mean_absolute_error
0.0012942285035885133
mean_absolute_error
0.0012338791615151374
mean_absolute_error
0.0009061599319160416
mean_absolute_error
0.00009821720966710938
mean_absolute_error
0.0010089676465883527
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
0.9963995441413896 [1,0.995261,0.970588,1]
precision
0.9910450906026128 [0.977876,1,1,1]
precision
0.9963456764404631 [0.995455,0.995261,1,1]
precision
0.9965463108320249 [1,1,0.942857,1]
precision
0.998177178271965 [1,0.995261,1,1]
precision
0.9963456764404631 [0.995455,0.995261,1,1]
precision
0.9981734401594088 [0.995475,1,1,1]
precision
0.9981734027605588 [0.995495,1,1,1]
precision
1 [1,1,1,1]
precision
0.9981734027605588 [0.995495,1,1,1]
predictive_accuracy
0.9963369963369964
predictive_accuracy
0.9908424908424908
predictive_accuracy
0.9963369963369964
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.9963369963369964
predictive_accuracy
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predictive_accuracy
0.9981651376146788
predictive_accuracy
1
predictive_accuracy
0.9981651376146788
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
0.005700495461155496
relative_absolute_error
0.014060151298344904
relative_absolute_error
0.005624836581005947
relative_absolute_error
0.005514488273818944
relative_absolute_error
0.0028264348738466618
relative_absolute_error
0.0039056346318614636
relative_absolute_error
0.0037263741623069944
relative_absolute_error
0.0027367963828918186
relative_absolute_error
0.0002965619856981915
relative_absolute_error
0.0030465276889012982
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
0.036655406729452694
root_mean_squared_error
0.06676487088670897
root_mean_squared_error
0.042492665941502215
root_mean_squared_error
0.040332277233552705
root_mean_squared_error
0.026599675605368845
root_mean_squared_error
0.026890319910450898
root_mean_squared_error
0.03073760934830903
root_mean_squared_error
0.029660271557731963
root_mean_squared_error
0.0016971759302931528
root_mean_squared_error
0.03024742307472094
root_relative_squared_error
0.09010069526923395
root_relative_squared_error
0.1641111591218438
root_relative_squared_error
0.10437604651112238
root_relative_squared_error
0.09906941706656205
root_relative_squared_error
0.06533760395238207
root_relative_squared_error
0.06605152252711212
root_relative_squared_error
0.07555968710792366
root_relative_squared_error
0.07291535599968027
root_relative_squared_error
0.004171199450354061
root_relative_squared_error
0.07433998576806927
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
0.997737556561086 [0.99095,1,1,1]
unweighted_recall
0.9621212121212122 [1,1,0.848485,1]
unweighted_recall
0.9912878787878788 [0.995455,1,0.969697,1]
unweighted_recall
0.9976731601731602 [0.995455,0.995238,1,1]
unweighted_recall
0.9988636363636364 [0.995455,1,1,1]
unweighted_recall
0.9912878787878788 [0.995455,1,0.969697,1]
unweighted_recall
0.9988095238095238 [1,0.995238,1,1]
unweighted_recall
0.9988038277511961 [1,0.995215,1,1]
unweighted_recall
1 [1,1,1,1]
unweighted_recall
0.9988038277511961 [1,0.995215,1,1]
usercpu_time_millis
2809.6837210005106
usercpu_time_millis
2795.922313000119
usercpu_time_millis
2701.797469999292
usercpu_time_millis
2585.060286000953
usercpu_time_millis
2886.816399998679
usercpu_time_millis
2795.3684290005185
usercpu_time_millis
2613.2632520002517
usercpu_time_millis
3748.2219409994286
usercpu_time_millis
2801.96318399976
usercpu_time_millis
2338.2858819995818
usercpu_time_millis_testing
7.297754000319401
usercpu_time_millis_testing
7.956552999530686
usercpu_time_millis_testing
7.5236459997540805
usercpu_time_millis_testing
7.426959000440547
usercpu_time_millis_testing
7.773632999487745
usercpu_time_millis_testing
7.71430200074974
usercpu_time_millis_testing
7.4871879996862845
usercpu_time_millis_testing
8.93430999985867
usercpu_time_millis_testing
7.906976999947801
usercpu_time_millis_testing
5.080214999907184
usercpu_time_millis_training
2802.385967000191
usercpu_time_millis_training
2787.9657600005885
usercpu_time_millis_training
2694.273823999538
usercpu_time_millis_training
2577.6333270005125
usercpu_time_millis_training
2879.0427669991914
usercpu_time_millis_training
2787.654126999769
usercpu_time_millis_training
2605.7760640005654
usercpu_time_millis_training
3739.28763099957
usercpu_time_millis_training
2794.0562069998123
usercpu_time_millis_training
2333.2056669996746
wall_clock_time_millis
2852.8549671173096
wall_clock_time_millis
2849.1268157958984
wall_clock_time_millis
2760.8370780944824
wall_clock_time_millis
2675.067901611328
wall_clock_time_millis
2957.395315170288
wall_clock_time_millis
2830.6057453155518
wall_clock_time_millis
2651.7868041992188
wall_clock_time_millis
3806.1745166778564
wall_clock_time_millis
2887.101888656616
wall_clock_time_millis
2370.0757026672363
wall_clock_time_millis_testing
7.325887680053711
wall_clock_time_millis_testing
8.063793182373047
wall_clock_time_millis_testing
7.529497146606445
wall_clock_time_millis_testing
7.433176040649414
wall_clock_time_millis_testing
7.779121398925781
wall_clock_time_millis_testing
7.720470428466797
wall_clock_time_millis_testing
7.493019104003906
wall_clock_time_millis_testing
8.94021987915039
wall_clock_time_millis_testing
7.913112640380859
wall_clock_time_millis_testing
5.084753036499023
wall_clock_time_millis_training
2845.529079437256
wall_clock_time_millis_training
2841.0630226135254
wall_clock_time_millis_training
2753.307580947876
wall_clock_time_millis_training
2667.6347255706787
wall_clock_time_millis_training
2949.6161937713623
wall_clock_time_millis_training
2822.885274887085
wall_clock_time_millis_training
2644.293785095215
wall_clock_time_millis_training
3797.234296798706
wall_clock_time_millis_training
2879.1887760162354
wall_clock_time_millis_training
2364.9909496307373
weighted_recall
0.9963369963369964 [0.99095,1,1,1]
weighted_recall
0.9908424908424909 [1,1,0.848485,1]
weighted_recall
0.9963369963369964 [0.995455,1,0.969697,1]
weighted_recall
0.9963369963369964 [0.995455,0.995238,1,1]
weighted_recall
0.9981684981684982 [0.995455,1,1,1]
weighted_recall
0.9963369963369964 [0.995455,1,0.969697,1]
weighted_recall
0.998165137614679 [1,0.995238,1,1]
weighted_recall
0.998165137614679 [1,0.995215,1,1]
weighted_recall
1 [1,1,1,1]
weighted_recall
0.998165137614679 [1,0.995215,1,1]