10560768
869
Pieter Gijsbers
146817
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"
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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.
40982
steel-plates-fault
https://www.openml.org/data/download/18151921/php5s7Ep8
-1
22047642
description
https://api.openml.org/data/download/22047642/description.xml
-1
22047643
predictions
https://api.openml.org/data/download/22047643/predictions.arff
area_under_roc_curve
0.6495324459474511 [0.597986,0.570259,0.871733,0.596817,0.587599,0.578135,0.589556]
average_cost
0
kappa
0.25670407713033105
kb_relative_information_score
0.22170253869049472
mean_absolute_error
0.1825800392771934
mean_prior_absolute_error
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0.49562081401339514 [0,0,0.797954,0.965825,0,0,0]
number_of_instances
1941 [402,55,391,673,158,72,190]
predictive_accuracy
0.4956208140133952
prior_entropy
2.4106995883230287
relative_absolute_error
0.8211608066176579
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0.3333637532267832
root_mean_squared_error
0.30229481306262956
root_relative_squared_error
0.9068016847559974
total_cost
0
unweighted_recall
0.2519683756957787 [0,0,0.797954,0.965825,0,0,0]
area_under_roc_curve
0.6569566765724261 [0.623377,0.6,0.880645,0.580224,0.605556,0.601604,0.607955]
area_under_roc_curve
0.6936030155239955 [0.627451,0.603175,0.967907,0.642144,0.609551,0.604278,0.582256]
area_under_roc_curve
0.6544960505168071 [0.591396,0.587302,0.874938,0.60831,0.592697,0.588235,0.594286]
area_under_roc_curve
0.6473019900969402 [0.591396,0.587302,0.858892,0.596989,0.592697,0.588235,0.594286]
area_under_roc_curve
0.6681626706350402 [0.607143,0.587302,0.907031,0.619631,0.592697,0.588235,0.594286]
area_under_roc_curve
0.6514353888510938 [0.61039,0.590426,0.871712,0.588259,0.595506,0.590909,0.597143]
area_under_roc_curve
0.676354349629034 [0.616883,0.595745,0.929446,0.618933,0.601124,0.596257,0.602857]
area_under_roc_curve
0.6464405015112725 [0.594156,0.577128,0.855749,0.602774,0.581461,0.57754,0.582857]
area_under_roc_curve
0.662330499701297 [0.603896,0.585106,0.89421,0.614585,0.589888,0.585561,0.591429]
area_under_roc_curve
0.6498301791964572 [0.600649,0.582447,0.865343,0.599248,0.586592,0.583333,0.588571]
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
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kappa
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kappa
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kappa
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kappa
0.27443801425140735
kappa
0.23431027745212976
kappa
0.2813694143336192
kappa
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kappa
0.2630218532153208
kappa
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kb_relative_information_score
0.2199999653958535
kb_relative_information_score
0.25238044360394213
kb_relative_information_score
0.2166299092392776
kb_relative_information_score
0.21036244466391824
kb_relative_information_score
0.22871712360046487
kb_relative_information_score
0.2133530902220734
kb_relative_information_score
0.235538651218386
kb_relative_information_score
0.20750167207864625
kb_relative_information_score
0.22215974809071873
kb_relative_information_score
0.2105255285636305
mean_absolute_error
0.18330000631211094
mean_absolute_error
0.17481032103713576
mean_absolute_error
0.183777061795239
mean_absolute_error
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mean_absolute_error
0.18072395890491358
mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
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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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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
194 [40,5,39,68,16,7,19]
number_of_instances
194 [40,5,39,68,16,7,19]
number_of_instances
194 [40,6,39,67,16,7,19]
number_of_instances
194 [40,6,39,67,16,7,19]
number_of_instances
194 [40,6,39,67,16,7,19]
number_of_instances
194 [40,6,39,67,16,7,19]
number_of_instances
194 [40,6,39,67,15,8,19]
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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relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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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_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_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
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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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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
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total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
unweighted_recall
0.2443496801705757 [0,0,0.8,0.910448,0,0,0]
unweighted_recall
0.2762560822262315 [0,0,0.948718,0.985075,0,0,0]
unweighted_recall
0.24854557207498384 [0,0,0.769231,0.970588,0,0,0]
unweighted_recall
0.24278172807584575 [0,0,0.74359,0.955882,0,0,0]
unweighted_recall
0.25797241973712565 [0,0,0.820513,0.985294,0,0,0]
unweighted_recall
0.24421846809906514 [0,0,0.769231,0.940299,0,0,0]
unweighted_recall
0.2631348750751736 [0,0,0.871795,0.970149,0,0,0]
unweighted_recall
0.2432890492591985 [0,0,0.717949,0.985075,0,0,0]
unweighted_recall
0.2542780602482095 [0,0,0.794872,0.985075,0,0,0]
unweighted_recall
0.24481985676015525 [0,0,0.74359,0.970149,0,0,0]
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
15.625
usercpu_time_millis
0
usercpu_time_millis
15.625
usercpu_time_millis
15.625
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
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
15.625
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0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0
usercpu_time_millis_training
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usercpu_time_millis_training
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wall_clock_time_millis
12.00103759765625
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
13.000965118408203
wall_clock_time_millis
12.006998062133789
wall_clock_time_millis
12.000322341918945
wall_clock_time_millis
11.999845504760742
wall_clock_time_millis
12.001276016235352
wall_clock_time_millis_testing
2.0012855529785156
wall_clock_time_millis_testing
3.000020980834961
wall_clock_time_millis_testing
2.000093460083008
wall_clock_time_millis_testing
1.9998550415039062
wall_clock_time_millis_testing
2.5975704193115234
wall_clock_time_millis_testing
2.9883384704589844
wall_clock_time_millis_testing
2.000093460083008
wall_clock_time_millis_testing
2.012968063354492
wall_clock_time_millis_testing
2.9997825622558594
wall_clock_time_millis_testing
2.001523971557617
wall_clock_time_millis_training
9.999752044677734
wall_clock_time_millis_training
8.997678756713867
wall_clock_time_millis_training
9.012460708618164
wall_clock_time_millis_training
9.999990463256836
wall_clock_time_millis_training
10.015487670898438
wall_clock_time_millis_training
10.012626647949219
wall_clock_time_millis_training
10.006904602050781
wall_clock_time_millis_training
9.987354278564453
wall_clock_time_millis_training
9.000062942504883
wall_clock_time_millis_training
9.999752044677734
weighted_recall
0.47692307692307695 [0,0,0.8,0.910448,0,0,0]
weighted_recall
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weighted_recall
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weighted_recall
0.4845360824742268 [0,0,0.74359,0.955882,0,0,0]
weighted_recall
0.5103092783505154 [0,0,0.820513,0.985294,0,0,0]
weighted_recall
0.4793814432989691 [0,0,0.769231,0.940299,0,0,0]
weighted_recall
0.5103092783505154 [0,0,0.871795,0.970149,0,0,0]
weighted_recall
0.4845360824742268 [0,0,0.717949,0.985075,0,0,0]
weighted_recall
0.5 [0,0,0.794872,0.985075,0,0,0]
weighted_recall
0.4845360824742268 [0,0,0.74359,0.970149,0,0,0]