9865473
6892
Scikit-learn Bot
3561
Supervised Classification
8834
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)(1)
7794875
memory
null
8834
n_jobs
null
8835
remainder
"passthrough"
8835
sparse_threshold
0.3
8835
transformer_weights
null
8835
memory
null
8836
axis
0
8837
copy
true
8837
missing_values
"NaN"
8837
strategy
"most_frequent"
8837
verbose
0
8837
copy
true
8838
with_mean
true
8838
with_std
true
8838
memory
null
8839
copy
true
8840
fill_value
-1
8840
missing_values
NaN
8840
strategy
"constant"
8840
verbose
0
8840
categorical_features
null
8841
categories
null
8841
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
8841
handle_unknown
"ignore"
8841
n_values
null
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sparse
true
8841
threshold
0.0
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criterion
"friedman_mse"
8843
init
null
8843
learning_rate
0.048889864719939675
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loss
"deviance"
8843
max_depth
1
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max_features
0.8285585049585015
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max_leaf_nodes
null
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min_impurity_decrease
0.14689475791275197
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min_impurity_split
null
8843
min_samples_leaf
16
8843
min_samples_split
2
8843
min_weight_fraction_leaf
0.12678664630862146
8843
n_estimators
271
8843
n_iter_no_change
147
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presort
"auto"
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random_state
17329
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subsample
0.15620247582143165
8843
tol
0.004223457765412561
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validation_fraction
0.20048632668378463
8843
verbose
0
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warm_start
false
8843
openml-python
Sklearn_0.20.1.
470
profb
https://www.openml.org/data/download/52582/profb.arff
-1
20651392
description
https://api.openml.org/data/download/20651392/description.xml
-1
20651393
predictions
https://api.openml.org/data/download/20651393/predictions.arff
area_under_roc_curve
0.6414471061862245 [0.641447,0.641447]
average_cost
0
f_measure
0.6274573613597029 [0.777007,0.328358]
kappa
0.13793103448275842
kb_relative_information_score
28.683226846562466
mean_absolute_error
0.41924766824895
mean_prior_absolute_error
0.4446092977250259
number_of_instances
672 [448,224]
precision
0.6309999839411604 [0.698752,0.495495]
predictive_accuracy
0.6651785714285714
prior_entropy
0.918789600139413
recall
0.6651785714285714 [0.875,0.245536]
relative_absolute_error
0.942957491879171
root_mean_prior_squared_error
0.47140478021723453
root_mean_squared_error
0.4606649732032766
root_relative_squared_error
0.9772174414332225
total_cost
0
area_under_roc_curve
0.6705314009661836 [0.670531,0.670531]
area_under_roc_curve
0.6376811594202898 [0.637681,0.637681]
area_under_roc_curve
0.5858585858585859 [0.585859,0.585859]
area_under_roc_curve
0.5883838383838383 [0.588384,0.588384]
area_under_roc_curve
0.6525252525252524 [0.652525,0.652525]
area_under_roc_curve
0.6707070707070706 [0.670707,0.670707]
area_under_roc_curve
0.6424242424242425 [0.642424,0.642424]
area_under_roc_curve
0.7212121212121212 [0.721212,0.721212]
area_under_roc_curve
0.6274703557312252 [0.62747,0.62747]
area_under_roc_curve
0.6175889328063242 [0.617589,0.617589]
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
0.6164875482408321 [0.776699,0.30303]
f_measure
0.6251919394892989 [0.803738,0.275862]
f_measure
0.5734354141801441 [0.721649,0.27027]
f_measure
0.5853425181783392 [0.796296,0.153846]
f_measure
0.6366301676349376 [0.762887,0.378378]
f_measure
0.6397717295873575 [0.78,0.352941]
f_measure
0.6805090195282092 [0.795918,0.444444]
f_measure
0.6748531068428605 [0.815534,0.387097]
f_measure
0.6190102120974078 [0.75,0.368421]
f_measure
0.6000702370500439 [0.76,0.294118]
kappa
0.12331838565022422
kappa
0.15801886792452816
kappa
0.005497526113248842
kappa
0.05874840357598997
kappa
0.1528312259483232
kappa
0.15771428571428592
kappa
0.25389755011135856
kappa
0.24271267102914917
kappa
0.1336206896551724
kappa
0.09255079006771999
kb_relative_information_score
4.375217287139627
kb_relative_information_score
2.7995546924860553
kb_relative_information_score
-0.616536046697748
kb_relative_information_score
3.9513305272674604
kb_relative_information_score
2.9949223319051903
kb_relative_information_score
2.4646819362528056
kb_relative_information_score
2.501305361733971
kb_relative_information_score
6.73480211464817
kb_relative_information_score
1.0606677332670922
kb_relative_information_score
2.417280908559823
mean_absolute_error
0.4140161430726722
mean_absolute_error
0.42476779986109825
mean_absolute_error
0.43324265418583874
mean_absolute_error
0.41225507087898994
mean_absolute_error
0.413795663369774
mean_absolute_error
0.419763283233715
mean_absolute_error
0.41939445931718194
mean_absolute_error
0.3996681465320768
mean_absolute_error
0.43072276497171436
mean_absolute_error
0.42484638950769377
mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
0.44295584392577236
mean_prior_absolute_error
0.44295584392577236
mean_prior_absolute_error
0.44295584392577236
mean_prior_absolute_error
0.44295584392577236
mean_prior_absolute_error
0.44295584392577236
mean_prior_absolute_error
0.44295584392577236
mean_prior_absolute_error
0.4479162053235314
mean_prior_absolute_error
0.4479162053235314
number_of_instances
68 [45,23]
number_of_instances
68 [45,23]
number_of_instances
67 [45,22]
number_of_instances
67 [45,22]
number_of_instances
67 [45,22]
number_of_instances
67 [45,22]
number_of_instances
67 [45,22]
number_of_instances
67 [45,22]
number_of_instances
67 [44,23]
number_of_instances
67 [44,23]
precision
0.6255070993914807 [0.689655,0.5]
precision
0.6844560404807085 [0.693548,0.666667]
precision
0.5615193264446996 [0.673077,0.333333]
precision
0.6226012793176973 [0.68254,0.5]
precision
0.6311327975507081 [0.711538,0.466667]
precision
0.6404341926729986 [0.709091,0.5]
precision
0.6818602405760952 [0.735849,0.571429]
precision
0.7052667696002745 [0.724138,0.666667]
precision
0.6148488327592805 [0.692308,0.466667]
precision
0.6016669897266913 [0.678571,0.454545]
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.5970149253731344
predictive_accuracy
0.6716417910447761
predictive_accuracy
0.6567164179104478
predictive_accuracy
0.6716417910447761
predictive_accuracy
0.7014925373134328
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.6417910447761195
prior_entropy
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0.918789600139413
prior_entropy
0.918789600139413
prior_entropy
0.918789600139413
prior_entropy
0.918789600139413
recall
0.6617647058823529 [0.888889,0.217391]
recall
0.6911764705882353 [0.955556,0.173913]
recall
0.5970149253731343 [0.777778,0.227273]
recall
0.6716417910447762 [0.955556,0.090909]
recall
0.6567164179104478 [0.822222,0.318182]
recall
0.6716417910447762 [0.866667,0.272727]
recall
0.7014925373134329 [0.866667,0.363636]
recall
0.7164179104477612 [0.933333,0.272727]
recall
0.6417910447761194 [0.818182,0.304348]
recall
0.6417910447761194 [0.863636,0.217391]
relative_absolute_error
0.9277913098624431
relative_absolute_error
0.9518852827710653
relative_absolute_error
0.9780718781044883
relative_absolute_error
0.9306911208695396
relative_absolute_error
0.9341691029571679
relative_absolute_error
0.9476413710077526
relative_absolute_error
0.9468087283830064
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0.9022753667497624
relative_absolute_error
0.9616146052599323
relative_absolute_error
0.9484952418741489
root_mean_prior_squared_error
0.47312958596336424
root_mean_prior_squared_error
0.47312958596336424
root_mean_prior_squared_error
0.4696477541864821
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0.4696477541864821
root_mean_prior_squared_error
0.4696477541864821
root_mean_prior_squared_error
0.4696477541864821
root_mean_prior_squared_error
0.4696477541864821
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0.4696477541864821
root_mean_prior_squared_error
0.47489933081671665
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0.47489933081671665
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0.45589497855556554
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0.45963360910394047
root_mean_squared_error
0.4736495278058663
root_mean_squared_error
0.46630437684614967
root_mean_squared_error
0.45802392031426264
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0.45303333911485516
root_mean_squared_error
0.4591038891781697
root_mean_squared_error
0.4386853756272709
root_mean_squared_error
0.46903764425522726
root_mean_squared_error
0.4723049786369813
root_relative_squared_error
0.963573177583671
root_relative_squared_error
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root_relative_squared_error
1.0085207979463588
root_relative_squared_error
0.9928810958627413
root_relative_squared_error
0.9752498893721868
root_relative_squared_error
0.964623667581662
root_relative_squared_error
0.977549418869092
root_relative_squared_error
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root_relative_squared_error
0.987656991321911
root_relative_squared_error
0.9945370481460277
total_cost
0
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0
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0
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0
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0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
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0
usercpu_time_millis
246.53588199998921
usercpu_time_millis
216.67505799996434
usercpu_time_millis
184.88542699998334
usercpu_time_millis
172.7102099999911
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
146.22605899995733
usercpu_time_millis
143.24846900001376
usercpu_time_millis
155.06468199998835
usercpu_time_millis_testing
6.755961999999727
usercpu_time_millis_testing
6.811638999977276
usercpu_time_millis_testing
6.70463500000551
usercpu_time_millis_testing
6.6656390000048305
usercpu_time_millis_testing
6.473232000018925
usercpu_time_millis_testing
6.482022999989567
usercpu_time_millis_testing
6.793055000002823
usercpu_time_millis_testing
6.678212999986499
usercpu_time_millis_testing
6.426923999981682
usercpu_time_millis_testing
6.742642000006072
usercpu_time_millis_training
239.7799199999895
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
139.54784599997083
usercpu_time_millis_training
136.82154500003207
usercpu_time_millis_training
148.32203999998228