10586210
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)
8302492
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
"mean"
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
0.06083978356230507
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
133
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
101
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
14
19040
random_state
47482
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.3138492923825032
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
22098688
description
https://api.openml.org/data/download/22098688/description.xml
-1
22098689
predictions
https://api.openml.org/data/download/22098689/predictions.arff
area_under_roc_curve
0.8668738712199463 [0.866874,0.866874]
average_cost
0
f_measure
0.7846353145450301 [0.818942,0.742501]
kappa
0.5637684565442201
kb_relative_information_score
0.31985932415748325
mean_absolute_error
0.3563444180482229
mean_prior_absolute_error
0.4947574918117115
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0.7873831775700935 [0.872351,0.683028]
number_of_instances
14980 [8257,6723]
precision
0.7903757913900733 [0.771695,0.813319]
predictive_accuracy
0.7873831775700935
prior_entropy
0.9924223735239917
relative_absolute_error
0.7202405702708105
root_mean_prior_squared_error
0.4973714869043071
root_mean_squared_error
0.3964119573460063
root_relative_squared_error
0.7970138373096463
total_cost
0
unweighted_recall
0.7776895713238395 [0.872351,0.683028]
area_under_roc_curve
0.8806857488758215 [0.880686,0.880686]
area_under_roc_curve
0.866132681886314 [0.866133,0.866133]
area_under_roc_curve
0.8708672028133287 [0.870867,0.870867]
area_under_roc_curve
0.8594794909489221 [0.859479,0.859479]
area_under_roc_curve
0.8692782197624814 [0.869278,0.869278]
area_under_roc_curve
0.8684044592413237 [0.868404,0.868404]
area_under_roc_curve
0.8794039331834429 [0.879404,0.879404]
area_under_roc_curve
0.8547705885001576 [0.854771,0.854771]
area_under_roc_curve
0.8644243324778244 [0.864424,0.864424]
area_under_roc_curve
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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
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0
f_measure
0.793567873572883 [0.827195,0.752234]
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0.7762027267812697 [0.811825,0.732417]
f_measure
0.783892312254285 [0.817352,0.742765]
f_measure
0.7759545060236415 [0.816917,0.725605]
f_measure
0.7877489753780235 [0.825893,0.740864]
f_measure
0.7873722216659461 [0.819897,0.747394]
f_measure
0.796690422869876 [0.828294,0.757844]
f_measure
0.7680006621722049 [0.802526,0.725678]
f_measure
0.7875366981697925 [0.821793,0.745543]
f_measure
0.7889029921356102 [0.817442,0.753918]
kappa
0.5818866667520787
kappa
0.5466275809982206
kappa
0.5621259399457773
kappa
0.5469427677893465
kappa
0.5706569267966458
kappa
0.5691495481215406
kappa
0.5880667647246914
kappa
0.5300246428069818
kappa
0.5698181678504078
kappa
0.5723152180831236
kb_relative_information_score
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kb_relative_information_score
0.3237713899052172
kb_relative_information_score
0.3127539247171079
kb_relative_information_score
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kb_relative_information_score
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kb_relative_information_score
0.3258227961724615
kb_relative_information_score
0.3136608421601767
kb_relative_information_score
0.32596834649330364
kb_relative_information_score
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mean_absolute_error
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mean_absolute_error
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mean_absolute_error
0.3543672364454765
mean_absolute_error
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mean_absolute_error
0.35780896340276636
mean_absolute_error
0.35564251156129495
mean_absolute_error
0.3537910782987956
mean_absolute_error
0.35854118813303554
mean_absolute_error
0.353649215861403
mean_absolute_error
0.3583301431677255
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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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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1498 [826,672]
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1498 [826,672]
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1498 [826,672]
number_of_instances
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precision
0.8002304021477518 [0.777423,0.828265]
precision
0.7816456182630062 [0.765273,0.80177]
precision
0.7886831885943733 [0.773218,0.807692]
precision
0.7871016396164797 [0.755922,0.825427]
precision
0.7984793352743909 [0.766046,0.838346]
precision
0.7918966252741025 [0.776815,0.810435]
precision
0.8018767758182609 [0.783172,0.824869]
precision
0.7716418640128564 [0.762268,0.783133]
precision
0.7939225539288435 [0.772679,0.819964]
precision
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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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predictive_accuracy
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prior_entropy
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relative_absolute_error
0.7232306722959837
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relative_absolute_error
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root_mean_prior_squared_error
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total_cost
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unweighted_recall
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unweighted_recall
0.7771640435835352 [0.866828,0.6875]
unweighted_recall
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unweighted_recall
0.7797871267150929 [0.895884,0.66369]
unweighted_recall
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unweighted_recall
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unweighted_recall
0.7616749966229908 [0.847273,0.676077]
unweighted_recall
0.7805412220271062 [0.877576,0.683507]
unweighted_recall
0.7834157323607547 [0.852121,0.71471]
usercpu_time_millis
3273.9928799992413
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3310.926111000299
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usercpu_time_millis
3301.9736739997825
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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
10.277504000441695
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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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
10.768890380859375
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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wall_clock_time_millis_training
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weighted_recall
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weighted_recall
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weighted_recall
0.7863818424566088 [0.866828,0.6875]
weighted_recall
0.780373831775701 [0.88862,0.647321]
weighted_recall
0.7917222963951935 [0.895884,0.66369]
weighted_recall
0.7897196261682243 [0.868039,0.693452]
weighted_recall
0.7990654205607477 [0.878935,0.700893]
weighted_recall
0.7703604806408545 [0.847273,0.676077]
weighted_recall
0.7903871829105474 [0.877576,0.683507]
weighted_recall
0.7903871829105474 [0.852121,0.71471]