10560772
869
Pieter Gijsbers
146822
Supervised Classification
18995
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder),decisiontreeclassifier=sklearn.tree._classes.DecisionTreeClassifier)(1)
8277066
Python_3.8.3. Sklearn_0.24.2. NumPy_1.21.2. SciPy_1.7.1.
add_indicator
false
18819
copy
true
18819
fill_value
null
18819
missing_values
NaN
18819
strategy
"mean"
18819
verbose
0
18819
ccp_alpha
0.0
18820
class_weight
null
18820
criterion
"gini"
18820
max_depth
1
18820
max_features
null
18820
max_leaf_nodes
null
18820
min_impurity_decrease
0.0
18820
min_impurity_split
null
18820
min_samples_leaf
1
18820
min_samples_split
2
18820
min_weight_fraction_leaf
0.0
18820
random_state
31861
18820
splitter
"best"
18820
memory
null
18995
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"}}]
18995
verbose
false
18995
n_jobs
null
18996
remainder
"drop"
18996
sparse_threshold
0.3
18996
transformer_weights
null
18996
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"}}}]
18996
verbose
false
18996
categories
"auto"
18997
drop
null
18997
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
18997
handle_unknown
"ignore"
18997
sparse
true
18997
openml-python
Sklearn_0.24.2.
40984
segment
https://www.openml.org/data/download/18151937/phpyM5ND4
-1
22047650
description
https://api.openml.org/data/download/22047650/description.xml
-1
22047651
predictions
https://api.openml.org/data/download/22047651/predictions.arff
area_under_roc_curve
0.6427849927849927 [0.583586,0.999747,0.581818,0.583586,0.583586,0.583586,0.583586]
average_cost
0
kappa
0.16666666666666666
kb_relative_information_score
0.21068950932567942
mean_absolute_error
0.20410224695939194
mean_prior_absolute_error
0.24489795918366916
weighted_recall
0.2857142857142857 [1,1,0,0,0,0,0]
number_of_instances
2310 [330,330,330,330,330,330,330]
predictive_accuracy
0.28571428571428575
prior_entropy
2.8073549220577525
relative_absolute_error
0.8334175084175318
root_mean_prior_squared_error
0.3499271061118795
root_mean_squared_error
0.3195511952703068
root_relative_squared_error
0.9131936042935158
total_cost
0
unweighted_recall
0.2857142857142857 [1,1,0,0,0,0,0]
area_under_roc_curve
0.6428571428571429 [0.583333,1,0.583333,0.583333,0.583333,0.583333,0.583333]
area_under_roc_curve
0.6428571428571429 [0.583333,1,0.583333,0.583333,0.583333,0.583333,0.583333]
area_under_roc_curve
0.6428571428571429 [0.583333,1,0.583333,0.583333,0.583333,0.583333,0.583333]
area_under_roc_curve
0.6428571428571429 [0.583333,1,0.583333,0.583333,0.583333,0.583333,0.583333]
area_under_roc_curve
0.6428571428571429 [0.583333,1,0.583333,0.583333,0.583333,0.583333,0.583333]
area_under_roc_curve
0.6428571428571429 [0.583333,1,0.583333,0.583333,0.583333,0.583333,0.583333]
area_under_roc_curve
0.6428571428571429 [0.583333,1,0.583333,0.583333,0.583333,0.583333,0.583333]
area_under_roc_curve
0.6428571428571429 [0.583333,1,0.583333,0.583333,0.583333,0.583333,0.583333]
area_under_roc_curve
0.6421356421356422 [0.585859,0.997475,0.568182,0.585859,0.585859,0.585859,0.585859]
area_under_roc_curve
0.6428571428571429 [0.583333,1,0.583333,0.583333,0.583333,0.583333,0.583333]
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
kappa
0.16666666666666666
kappa
0.16666666666666666
kappa
0.16666666666666666
kappa
0.16666666666666666
kappa
0.16666666666666666
kappa
0.16666666666666666
kappa
0.16666666666666666
kappa
0.16666666666666666
kappa
0.16666666666666666
kappa
0.16666666666666666
kb_relative_information_score
0.2107580961471994
kb_relative_information_score
0.2107580961471994
kb_relative_information_score
0.2107580961471994
kb_relative_information_score
0.2107580961471994
kb_relative_information_score
0.2107580961471994
kb_relative_information_score
0.2107580961471994
kb_relative_information_score
0.2107580961471994
kb_relative_information_score
0.2107580961471994
kb_relative_information_score
0.21007222793214833
kb_relative_information_score
0.2107580961471994
mean_absolute_error
0.20408163265306162
mean_absolute_error
0.20408163265306162
mean_absolute_error
0.20408163265306162
mean_absolute_error
0.20408163265306162
mean_absolute_error
0.20408163265306162
mean_absolute_error
0.20408163265306162
mean_absolute_error
0.20408163265306162
mean_absolute_error
0.20408163265306162
mean_absolute_error
0.2042877757163475
mean_absolute_error
0.20408163265306162
mean_prior_absolute_error
0.24489795918367424
mean_prior_absolute_error
0.24489795918367424
mean_prior_absolute_error
0.24489795918367424
mean_prior_absolute_error
0.24489795918367424
mean_prior_absolute_error
0.24489795918367424
mean_prior_absolute_error
0.24489795918367424
mean_prior_absolute_error
0.24489795918367424
mean_prior_absolute_error
0.24489795918367424
mean_prior_absolute_error
0.24489795918367424
mean_prior_absolute_error
0.24489795918367424
number_of_instances
231 [33,33,33,33,33,33,33]
number_of_instances
231 [33,33,33,33,33,33,33]
number_of_instances
231 [33,33,33,33,33,33,33]
number_of_instances
231 [33,33,33,33,33,33,33]
number_of_instances
231 [33,33,33,33,33,33,33]
number_of_instances
231 [33,33,33,33,33,33,33]
number_of_instances
231 [33,33,33,33,33,33,33]
number_of_instances
231 [33,33,33,33,33,33,33]
number_of_instances
231 [33,33,33,33,33,33,33]
number_of_instances
231 [33,33,33,33,33,33,33]
predictive_accuracy
0.28571428571428575
predictive_accuracy
0.28571428571428575
predictive_accuracy
0.28571428571428575
predictive_accuracy
0.28571428571428575
predictive_accuracy
0.28571428571428575
predictive_accuracy
0.28571428571428575
predictive_accuracy
0.28571428571428575
predictive_accuracy
0.28571428571428575
predictive_accuracy
0.28571428571428575
predictive_accuracy
0.28571428571428575
prior_entropy
2.8073549220575935
prior_entropy
2.8073549220575935
prior_entropy
2.8073549220575935
prior_entropy
2.8073549220575935
prior_entropy
2.8073549220575935
prior_entropy
2.8073549220575935
prior_entropy
2.8073549220575935
prior_entropy
2.8073549220575935
prior_entropy
2.8073549220575935
prior_entropy
2.8073549220575935
relative_absolute_error
0.8333333333333323
relative_absolute_error
0.8333333333333323
relative_absolute_error
0.8333333333333323
relative_absolute_error
0.8333333333333323
relative_absolute_error
0.8333333333333323
relative_absolute_error
0.8333333333333323
relative_absolute_error
0.8333333333333323
relative_absolute_error
0.8333333333333323
relative_absolute_error
0.834175084175083
relative_absolute_error
0.8333333333333323
root_mean_prior_squared_error
0.34992710611188316
root_mean_prior_squared_error
0.34992710611188316
root_mean_prior_squared_error
0.34992710611188316
root_mean_prior_squared_error
0.34992710611188316
root_mean_prior_squared_error
0.34992710611188316
root_mean_prior_squared_error
0.34992710611188316
root_mean_prior_squared_error
0.34992710611188316
root_mean_prior_squared_error
0.34992710611188316
root_mean_prior_squared_error
0.34992710611188316
root_mean_prior_squared_error
0.34992710611188316
root_mean_squared_error
0.31943828249997025
root_mean_squared_error
0.31943828249997025
root_mean_squared_error
0.31943828249997025
root_mean_squared_error
0.31943828249997025
root_mean_squared_error
0.31943828249997025
root_mean_squared_error
0.31943828249997025
root_mean_squared_error
0.31943828249997025
root_mean_squared_error
0.31943828249997025
root_mean_squared_error
0.3205656205023108
root_mean_squared_error
0.31943828249997025
root_relative_squared_error
0.9128709291752761
root_relative_squared_error
0.9128709291752761
root_relative_squared_error
0.9128709291752761
root_relative_squared_error
0.9128709291752761
root_relative_squared_error
0.9128709291752761
root_relative_squared_error
0.9128709291752761
root_relative_squared_error
0.9128709291752761
root_relative_squared_error
0.9128709291752761
root_relative_squared_error
0.9160925658608895
root_relative_squared_error
0.9128709291752761
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
0.2857142857142857 [1,1,0,0,0,0,0]
unweighted_recall
0.2857142857142857 [1,1,0,0,0,0,0]
unweighted_recall
0.2857142857142857 [1,1,0,0,0,0,0]
unweighted_recall
0.2857142857142857 [1,1,0,0,0,0,0]
unweighted_recall
0.2857142857142857 [1,1,0,0,0,0,0]
unweighted_recall
0.2857142857142857 [1,1,0,0,0,0,0]
unweighted_recall
0.2857142857142857 [1,1,0,0,0,0,0]
unweighted_recall
0.2857142857142857 [1,1,0,0,0,0,0]
unweighted_recall
0.2857142857142857 [1,1,0,0,0,0,0]
unweighted_recall
0.2857142857142857 [1,1,0,0,0,0,0]
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
0
usercpu_time_millis
15.625
usercpu_time_millis
0
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_training
0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0
wall_clock_time_millis
10.00070571899414
wall_clock_time_millis
9.999990463256836
wall_clock_time_millis
10.999202728271484
wall_clock_time_millis
10.000467300415039
wall_clock_time_millis
10.000228881835938
wall_clock_time_millis
10.417699813842773
wall_clock_time_millis
11.000871658325195
wall_clock_time_millis
10.00070571899414
wall_clock_time_millis
9.999513626098633
wall_clock_time_millis
9.999752044677734
wall_clock_time_millis_testing
2.002716064453125
wall_clock_time_millis_testing
2.0029544830322266
wall_clock_time_millis_testing
2.0024776458740234
wall_clock_time_millis_testing
2.0036697387695312
wall_clock_time_millis_testing
2.0034313201904297
wall_clock_time_millis_testing
1.514434814453125
wall_clock_time_millis_testing
2.0029544830322266
wall_clock_time_millis_testing
2.003908157348633
wall_clock_time_millis_testing
2.002716064453125
wall_clock_time_millis_testing
2.0003318786621094
wall_clock_time_millis_training
7.997989654541016
wall_clock_time_millis_training
7.997035980224609
wall_clock_time_millis_training
8.996725082397461
wall_clock_time_millis_training
7.996797561645508
wall_clock_time_millis_training
7.996797561645508
wall_clock_time_millis_training
8.903264999389648
wall_clock_time_millis_training
8.997917175292969
wall_clock_time_millis_training
7.996797561645508
wall_clock_time_millis_training
7.996797561645508
wall_clock_time_millis_training
7.999420166015625
weighted_recall
0.2857142857142857 [1,1,0,0,0,0,0]
weighted_recall
0.2857142857142857 [1,1,0,0,0,0,0]
weighted_recall
0.2857142857142857 [1,1,0,0,0,0,0]
weighted_recall
0.2857142857142857 [1,1,0,0,0,0,0]
weighted_recall
0.2857142857142857 [1,1,0,0,0,0,0]
weighted_recall
0.2857142857142857 [1,1,0,0,0,0,0]
weighted_recall
0.2857142857142857 [1,1,0,0,0,0,0]
weighted_recall
0.2857142857142857 [1,1,0,0,0,0,0]
weighted_recall
0.2857142857142857 [1,1,0,0,0,0,0]
weighted_recall
0.2857142857142857 [1,1,0,0,0,0,0]