10586202
28997
Marc Boel
9983
Supervised Classification
19039
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder),gradientboostingclassifier=sklearn.ensemble._gb.GradientBoostingClassifier)(2)
8302484
Python_3.7.12. Sklearn_1.0.1. NumPy_1.19.5. SciPy_1.4.1.
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
"median"
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
memory
null
19039
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gradientboostingclassifier", "step_name": "gradientboostingclassifier"}}]
19039
verbose
false
19039
ccp_alpha
0.0
19040
criterion
"friedman_mse"
19040
init
null
19040
learning_rate
0.9639001459727394
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
398
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
17
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
12
19040
random_state
61768
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.20756586692948972
19040
verbose
0
19040
warm_start
false
19040
openml-python
Sklearn_1.0.1.
1471
eeg-eye-state
https://www.openml.org/data/download/1587924/phplE7q6h
-1
22098672
description
https://api.openml.org/data/download/22098672/description.xml
-1
22098673
predictions
https://api.openml.org/data/download/22098673/predictions.arff
area_under_roc_curve
0.9555356606902989 [0.955536,0.955536]
average_cost
0
f_measure
0.8896671044920799 [0.900883,0.875893]
kappa
0.7767957657945642
kb_relative_information_score
0.7056414568586163
mean_absolute_error
0.15358987122102843
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0.4947574918117115
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0.8897863818424566 [0.908684,0.866577]
number_of_instances
14980 [8257,6723]
precision
0.8897118848434185 [0.893214,0.88541]
predictive_accuracy
0.8897863818424567
prior_entropy
0.9924223735239917
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0.3104346548823554
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0.4973714869043071
root_mean_squared_error
0.28513728267263905
root_relative_squared_error
0.5732883572545819
total_cost
0
unweighted_recall
0.8876304810160129 [0.908684,0.866577]
area_under_roc_curve
0.9510369825896461 [0.951037,0.951037]
area_under_roc_curve
0.9577280064568201 [0.957728,0.957728]
area_under_roc_curve
0.967723106191629 [0.967723,0.967723]
area_under_roc_curve
0.9528547647872709 [0.952855,0.952855]
area_under_roc_curve
0.9573208520696413 [0.957321,0.957321]
area_under_roc_curve
0.9585044823013951 [0.958504,0.958504]
area_under_roc_curve
0.9531826501787155 [0.953183,0.953183]
area_under_roc_curve
0.9525057409158448 [0.952506,0.952506]
area_under_roc_curve
0.9591192759692017 [0.959119,0.959119]
area_under_roc_curve
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average_cost
0
average_cost
0
average_cost
0
average_cost
0
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0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
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0
f_measure
0.8822613914741999 [0.895113,0.866464]
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0.8952421182897891 [0.904559,0.88379]
f_measure
0.9017568735783444 [0.911818,0.889391]
f_measure
0.8676614614175117 [0.881295,0.850904]
f_measure
0.9057182173694567 [0.91572,0.893424]
f_measure
0.886483032487569 [0.897343,0.873134]
f_measure
0.8876936700456236 [0.899401,0.873303]
f_measure
0.8890693891424031 [0.90024,0.875375]
f_measure
0.8950216182013222 [0.906044,0.881509]
f_measure
0.8857187643779133 [0.897297,0.871525]
kappa
0.7616504239969625
kappa
0.7883537222985145
kappa
0.8012283428744741
kappa
0.7322295247724975
kappa
0.8091823183456649
kappa
0.7704789784484933
kappa
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kappa
0.7756356004843358
kappa
0.7875960254972192
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
0.7211706412554326
kb_relative_information_score
0.6866458770270316
kb_relative_information_score
0.7182418436217811
kb_relative_information_score
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kb_relative_information_score
0.7021036347682194
kb_relative_information_score
0.696698782338336
kb_relative_information_score
0.7081695993063458
kb_relative_information_score
0.6973956088307287
mean_absolute_error
0.15540441935523072
mean_absolute_error
0.15136292217181613
mean_absolute_error
0.14645245787923156
mean_absolute_error
0.16109740323228378
mean_absolute_error
0.14807794661208837
mean_absolute_error
0.1488155886888535
mean_absolute_error
0.15554697574316176
mean_absolute_error
0.15830123315631672
mean_absolute_error
0.15311400987699716
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
1498 [826,672]
number_of_instances
1498 [826,672]
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1498 [826,672]
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1498 [826,672]
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number_of_instances
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precision
0.8825524591275168 [0.881455,0.883901]
precision
0.8953299967848575 [0.908425,0.879234]
precision
0.9018276764786878 [0.903686,0.899543]
precision
0.8676994272107128 [0.872922,0.86128]
precision
0.9059230845072378 [0.904368,0.907834]
precision
0.8864634653674297 [0.895181,0.875749]
precision
0.8877965234571353 [0.88981,0.885321]
precision
0.889110293935991 [0.892729,0.884674]
precision
0.8952062989379681 [0.894799,0.895706]
precision
0.8857694250895825 [0.889286,0.881459]
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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root_mean_prior_squared_error
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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
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unweighted_recall
0.8926660362915935 [0.917576,0.867756]
unweighted_recall
0.8836336620289071 [0.905455,0.861813]
usercpu_time_millis
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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
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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
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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_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
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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
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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
0.9018691588785047 [0.920097,0.879464]
weighted_recall
0.8678237650200267 [0.889831,0.840774]
weighted_recall
0.9058744993324432 [0.927361,0.879464]
weighted_recall
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weighted_recall
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weighted_recall
0.8891855807743658 [0.907879,0.86627]
weighted_recall
0.8951935914552737 [0.917576,0.867756]
weighted_recall
0.8858477970627503 [0.905455,0.861813]