10439996
8323
Heinrich Peters
31
Supervised Classification
17651
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,columntransformer=sklearn.compose._column_transformer.ColumnTransformer(num=sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler),cat=sklearn.pipeline.Pipeline(onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),randomforestclassifier=sklearn.ensemble.forest.RandomForestClassifier)(1)
8262316
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
copy
true
13294
with_mean
true
13294
with_std
true
13294
categorical_features
null
16348
categories
null
16348
drop
null
16348
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
16348
handle_unknown
"ignore"
16348
n_values
null
16348
sparse
true
16348
n_jobs
null
16375
remainder
"drop"
16375
sparse_threshold
0.3
16375
transformer_weights
null
16375
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "num", "step_name": "num", "argument_1": [false, true, false, false, true, false, false, true, false, false, true, false, true, false, false, true, false, true, false, false]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "cat", "step_name": "cat", "argument_1": [true, false, true, true, false, true, true, false, true, true, false, true, false, true, true, false, true, false, true, true]}}]
16375
verbose
false
16375
memory
null
16376
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}]
16376
verbose
false
16376
memory
null
16377
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}]
16377
verbose
false
16377
bootstrap
false
17650
class_weight
null
17650
criterion
"entropy"
17650
max_depth
12
17650
max_features
0.1
17650
max_leaf_nodes
null
17650
min_impurity_decrease
1e-07
17650
min_impurity_split
null
17650
min_samples_leaf
1
17650
min_samples_split
4
17650
min_weight_fraction_leaf
0.0
17650
n_estimators
512
17650
n_jobs
-1
17650
oob_score
false
17650
random_state
1
17650
verbose
0
17650
warm_start
false
17650
memory
null
17651
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "randomforestclassifier", "step_name": "randomforestclassifier"}}]
17651
verbose
false
17651
openml-python
Sklearn_0.21.2.
31
credit-g
https://www.openml.org/data/download/31/dataset_31_credit-g.arff
-1
21804420
description
https://api.openml.org/data/download/21804420/description.xml
-1
21804421
predictions
https://api.openml.org/data/download/21804421/predictions.arff
area_under_roc_curve
0.7917857142857143 [0.791786,0.791786]
average_cost
0
f_measure
0.7407055060839116 [0.847105,0.492441]
kappa
0.35651697699890467
kb_relative_information_score
0.1868248151469449
mean_absolute_error
0.340294951238828
mean_prior_absolute_error
0.42015968063872167
weighted_recall
0.765 [0.93,0.38]
number_of_instances
1000 [700,300]
precision
0.7542603953646899 [0.777778,0.699387]
predictive_accuracy
0.765
prior_entropy
0.8812914463598482
relative_absolute_error
0.8099181499793501
root_mean_prior_squared_error
0.45825774337365466
root_mean_squared_error
0.4037728187371396
root_relative_squared_error
0.8811041920745264
total_cost
0
unweighted_recall
0.655 [0.93,0.38]
area_under_roc_curve
0.8476190476190476 [0.847619,0.847619]
area_under_roc_curve
0.7523809523809524 [0.752381,0.752381]
area_under_roc_curve
0.7447619047619048 [0.744762,0.744762]
area_under_roc_curve
0.78 [0.78,0.78]
area_under_roc_curve
0.7985714285714286 [0.798571,0.798571]
area_under_roc_curve
0.829047619047619 [0.829048,0.829048]
area_under_roc_curve
0.8161904761904762 [0.81619,0.81619]
area_under_roc_curve
0.8042857142857142 [0.804286,0.804286]
area_under_roc_curve
0.789047619047619 [0.789048,0.789048]
area_under_roc_curve
0.7966666666666665 [0.796667,0.796667]
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
0.7698790154359617 [0.862745,0.553191]
f_measure
0.6990958408679927 [0.835443,0.380952]
f_measure
0.7095283146371132 [0.821192,0.44898]
f_measure
0.7811320754716982 [0.857143,0.603774]
f_measure
0.706060606060606 [0.833333,0.409091]
f_measure
0.7611842105263159 [0.855263,0.541667]
f_measure
0.7698790154359617 [0.862745,0.553191]
f_measure
0.7304494554379505 [0.855346,0.439024]
f_measure
0.7479627311917676 [0.849673,0.510638]
f_measure
0.7204301075268817 [0.83871,0.444444]
kappa
0.4293478260869566
kappa
0.2528735632183907
kappa
0.2819148936170212
kappa
0.4642857142857144
kappa
0.26966292134831454
kappa
0.4086021505376345
kappa
0.4293478260869566
kappa
0.3313953488372093
kappa
0.37500000000000006
kappa
0.3055555555555555
kb_relative_information_score
0.21765669745909022
kb_relative_information_score
0.1636462178879249
kb_relative_information_score
0.14444830428353173
kb_relative_information_score
0.15899264907271757
kb_relative_information_score
0.1743449326415199
kb_relative_information_score
0.2248898622067866
kb_relative_information_score
0.21895966247219675
kb_relative_information_score
0.19225406553919933
kb_relative_information_score
0.20032142964928507
kb_relative_information_score
0.1727343302571712
mean_absolute_error
0.3298137932606188
mean_absolute_error
0.34464520399611237
mean_absolute_error
0.35361003453407464
mean_absolute_error
0.34792612431372855
mean_absolute_error
0.3453980643694015
mean_absolute_error
0.3289543077385466
mean_absolute_error
0.3258744859957716
mean_absolute_error
0.3399198844862731
mean_absolute_error
0.3415343379701746
mean_absolute_error
0.34527327572357747
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
precision
0.7860382707299788 [0.795181,0.764706]
precision
0.725 [0.75,0.666667]
precision
0.7094866796621183 [0.765432,0.578947]
precision
0.7814229249011858 [0.818182,0.695652]
precision
0.7219269102990034 [0.755814,0.642857]
precision
0.7715447154471545 [0.792683,0.722222]
precision
0.7860382707299788 [0.795181,0.764706]
precision
0.7802860061287028 [0.764045,0.818182]
precision
0.7599574769666902 [0.783133,0.705882]
precision
0.7352941176470589 [0.764706,0.666667]
predictive_accuracy
0.79
predictive_accuracy
0.74
predictive_accuracy
0.73
predictive_accuracy
0.79
predictive_accuracy
0.74
predictive_accuracy
0.78
predictive_accuracy
0.79
predictive_accuracy
0.77
predictive_accuracy
0.77
predictive_accuracy
0.75
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
relative_absolute_error
0.7849724960739657
relative_absolute_error
0.8202719582045228
relative_absolute_error
0.8416086807675588
relative_absolute_error
0.8280807044236471
relative_absolute_error
0.8220638016582893
relative_absolute_error
0.7829268797007677
relative_absolute_error
0.7755967576431417
relative_absolute_error
0.8090254732903684
relative_absolute_error
0.8128679492781814
relative_absolute_error
0.8217667987530264
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_squared_error
0.38550569280264
root_mean_squared_error
0.4186820461778767
root_mean_squared_error
0.42141943172784196
root_mean_squared_error
0.40294687045692124
root_mean_squared_error
0.40667716906174894
root_mean_squared_error
0.3941180301941032
root_mean_squared_error
0.3928220966723391
root_mean_squared_error
0.40281028442966266
root_mean_squared_error
0.40657827638900007
root_mean_squared_error
0.40480676552844597
root_relative_squared_error
0.8412420703785152
root_relative_squared_error
0.9136387813014886
root_relative_squared_error
0.9196122440297185
root_relative_squared_error
0.8793018258468696
root_relative_squared_error
0.8874420016731754
root_relative_squared_error
0.8600357242032381
root_relative_squared_error
0.857207766486204
root_relative_squared_error
0.8790037708129208
root_relative_squared_error
0.8872262002509872
root_relative_squared_error
0.8833604480925787
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
0.6880952380952381 [0.942857,0.433333]
unweighted_recall
0.6047619047619047 [0.942857,0.266667]
unweighted_recall
0.6261904761904762 [0.885714,0.366667]
unweighted_recall
0.7166666666666667 [0.9,0.533333]
unweighted_recall
0.6142857142857143 [0.928571,0.3]
unweighted_recall
0.680952380952381 [0.928571,0.433333]
unweighted_recall
0.6880952380952381 [0.942857,0.433333]
unweighted_recall
0.6357142857142857 [0.971429,0.3]
unweighted_recall
0.6642857142857144 [0.928571,0.4]
unweighted_recall
0.6309523809523809 [0.928571,0.333333]
weighted_recall
0.79 [0.942857,0.433333]
weighted_recall
0.74 [0.942857,0.266667]
weighted_recall
0.73 [0.885714,0.366667]
weighted_recall
0.79 [0.9,0.533333]
weighted_recall
0.74 [0.928571,0.3]
weighted_recall
0.78 [0.928571,0.433333]
weighted_recall
0.79 [0.942857,0.433333]
weighted_recall
0.77 [0.971429,0.3]
weighted_recall
0.77 [0.928571,0.4]
weighted_recall
0.75 [0.928571,0.333333]