10571839
28997
Marc Boel
9960
Supervised Classification
19030
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder),decisiontreeclassifier=sklearn.tree._classes.DecisionTreeClassifier)(2)
8288121
Python_3.7.12. Sklearn_1.0.1. NumPy_1.19.5. SciPy_1.4.1.
memory
null
19030
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "decisiontreeclassifier", "step_name": "decisiontreeclassifier"}}]
19030
verbose
false
19030
n_jobs
null
19031
remainder
"drop"
19031
sparse_threshold
0.3
19031
transformer_weights
null
19031
transformers
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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
ccp_alpha
0.0
19034
class_weight
null
19034
criterion
"entropy"
19034
max_depth
null
19034
max_features
0.5002209004839008
19034
max_leaf_nodes
null
19034
min_impurity_decrease
0.0
19034
min_samples_leaf
19
19034
min_samples_split
5
19034
min_weight_fraction_leaf
0.0
19034
random_state
53314
19034
splitter
"best"
19034
openml-python
Sklearn_1.0.1.
1497
wall-robot-navigation
https://www.openml.org/data/download/1592289/phpVeNa5j
-1
22069945
description
https://api.openml.org/data/download/22069945/description.xml
-1
22069946
predictions
https://api.openml.org/data/download/22069946/predictions.arff
area_under_roc_curve
0.9971529251373371 [0.997143,0.998425,0.989,0.997188]
average_cost
0
f_measure
0.9796477100934649 [0.979285,0.986464,0.954407,0.973333]
kappa
0.9692915448409178
kb_relative_information_score
0.969001731129001
mean_absolute_error
0.01202188412967023
mean_prior_absolute_error
0.3312381502905654
weighted_recall
0.9796554252199413 [0.97551,0.990463,0.957317,0.972155]
number_of_instances
5456 [2205,2097,328,826]
precision
0.9796657004917961 [0.98309,0.982498,0.951515,0.974515]
predictive_accuracy
0.9796554252199414
prior_entropy
1.7146330399083418
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root_mean_squared_error
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total_cost
0
unweighted_recall
0.9738612016256534 [0.97551,0.990463,0.957317,0.972155]
area_under_roc_curve
0.9979028899204961 [0.998963,0.998292,0.999705,0.993324]
area_under_roc_curve
0.9919563832130145 [0.990832,0.998264,0.939394,0.999987]
area_under_roc_curve
0.9997037188081301 [0.999387,0.999936,0.999823,0.999909]
area_under_roc_curve
0.9922764541001908 [0.993021,0.997215,0.968722,0.987171]
area_under_roc_curve
0.998744005118742 [0.999728,0.997293,0.998257,1]
area_under_roc_curve
0.9978432132533248 [0.996919,0.998299,1,0.998283]
area_under_roc_curve
0.999601817051906 [0.999734,0.999353,1,0.999726]
area_under_roc_curve
0.9983099066241268 [0.997381,0.998398,1,0.999909]
area_under_roc_curve
0.9971933874071746 [0.998101,0.99968,0.98476,0.993415]
area_under_roc_curve
0.9979923158681162 [0.997856,0.997245,0.999763,0.999552]
average_cost
0
average_cost
0
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0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.9762767885549826 [0.974478,0.985849,0.942857,0.97006]
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f_measure
0.9854154669473177 [0.981651,0.99284,0.956522,0.988095]
f_measure
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f_measure
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f_measure
0.9760635141353093 [0.974828,0.988235,1,0.939024]
f_measure
0.9723969898538033 [0.977578,0.971292,0.969697,0.9625]
f_measure
0.9871337497528611 [0.983982,0.990521,1,0.982036]
f_measure
0.9797504893491131 [0.981982,0.985714,0.96875,0.962963]
f_measure
0.9816923071985778 [0.981818,0.98801,0.955224,0.975904]
kappa
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kappa
0.9666308460954728
kappa
0.9779908597572344
kappa
0.9640500200059764
kappa
0.9751548398513536
kappa
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kappa
0.9583218622862563
kappa
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kappa
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kappa
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
0.97126702140682
mean_absolute_error
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mean_absolute_error
0.013107935264132207
mean_absolute_error
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0.017749872387496493
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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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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]
number_of_instances
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number_of_instances
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number_of_instances
545 [220,210,32,83]
number_of_instances
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number_of_instances
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precision
0.9774122103423919 [1,0.976636,0.891892,0.952941]
precision
0.9783272283272283 [0.972851,0.972222,1,1]
precision
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precision
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precision
0.9835307218819235 [0.990826,0.985782,0.909091,0.988095]
precision
0.9761212712426707 [0.981567,0.976744,1,0.950617]
precision
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precision
0.9872950068744099 [0.99537,0.981221,1,0.97619]
precision
0.9798766197087533 [0.977578,0.981043,1,0.975]
precision
0.9818224577173412 [0.986301,0.990385,0.941176,0.964286]
predictive_accuracy
0.9761904761904762
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
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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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prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
1.7164171123716554
prior_entropy
1.7121302787024806
prior_entropy
1.711997401430895
prior_entropy
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prior_entropy
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relative_absolute_error
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0.029143955834678607
relative_absolute_error
0.05356435599703717
relative_absolute_error
0.030423489348757313
relative_absolute_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_relative_squared_error
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total_cost
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0
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total_cost
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total_cost
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total_cost
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0
unweighted_recall
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unweighted_recall
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unweighted_recall
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unweighted_recall
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unweighted_recall
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unweighted_recall
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unweighted_recall
0.9713216502373129 [0.990909,0.966667,1,0.927711]
unweighted_recall
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unweighted_recall
0.9668673532412866 [0.986425,0.990431,0.939394,0.95122]
unweighted_recall
0.980130836592741 [0.977376,0.985646,0.969697,0.987805]
usercpu_time_millis
119.53529599998092
usercpu_time_millis
120.7726330000014
usercpu_time_millis
120.14347499996347
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
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usercpu_time_millis
121.7996830000061
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
6.284624000045369
usercpu_time_millis_testing
5.456218999995599
usercpu_time_millis_testing
5.5354520000037155
usercpu_time_millis_testing
5.923062000022128
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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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
129.33969497680664
wall_clock_time_millis
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
5.4492950439453125
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
7.817983627319336
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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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
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weighted_recall
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weighted_recall
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weighted_recall
0.9761904761904762 [0.981818,0.985714,0.909091,0.963855]
weighted_recall
0.9835164835164835 [0.981818,0.990476,0.909091,1]
weighted_recall
0.9761904761904762 [0.968182,1,1,0.927711]
weighted_recall
0.9724770642201835 [0.990909,0.966667,1,0.927711]
weighted_recall
0.9871559633027523 [0.972851,1,1,0.987952]
weighted_recall
0.9798165137614679 [0.986425,0.990431,0.939394,0.95122]
weighted_recall
0.981651376146789 [0.977376,0.985646,0.969697,0.987805]