10586277
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)
8302559
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
[{"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"}}}]
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
0.6502880395338202
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
287
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
190
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
16
19040
random_state
37
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.17176121443846043
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
22098822
description
https://api.openml.org/data/download/22098822/description.xml
-1
22098823
predictions
https://api.openml.org/data/download/22098823/predictions.arff
area_under_roc_curve
0.9464253742325216 [0.946425,0.946425]
average_cost
0
f_measure
0.875414002867436 [0.88869,0.859109]
kappa
0.7478555141173495
kb_relative_information_score
0.633546190812552
mean_absolute_error
0.1940835278839258
mean_prior_absolute_error
0.4947574918117115
weighted_recall
0.8756341789052069 [0.90069,0.844861]
number_of_instances
14980 [8257,6723]
precision
0.8755871589066021 [0.877005,0.873846]
predictive_accuracy
0.875634178905207
prior_entropy
0.9924223735239917
relative_absolute_error
0.3922801192423128
root_mean_prior_squared_error
0.4973714869043071
root_mean_squared_error
0.3011497961127918
root_relative_squared_error
0.6054826302713493
total_cost
0
unweighted_recall
0.8727756242721031 [0.90069,0.844861]
area_under_roc_curve
0.9474788856220453 [0.947479,0.947479]
area_under_roc_curve
0.9482499567623661 [0.94825,0.94825]
area_under_roc_curve
0.962123832583881 [0.962124,0.962124]
area_under_roc_curve
0.942490343595065 [0.94249,0.94249]
area_under_roc_curve
0.9422435287674392 [0.942244,0.942244]
area_under_roc_curve
0.942757876455667 [0.942758,0.942758]
area_under_roc_curve
0.9514711604980974 [0.951471,0.951471]
area_under_roc_curve
0.9412958710432708 [0.941296,0.941296]
area_under_roc_curve
0.9445432032059076 [0.944543,0.944543]
area_under_roc_curve
0.9427565401413841 [0.942757,0.942757]
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
0.8782246304765692 [0.891667,0.861702]
f_measure
0.8802655987371575 [0.893262,0.864291]
f_measure
0.8891208237730147 [0.9,0.875749]
f_measure
0.8707756080007031 [0.885596,0.852559]
f_measure
0.8734278701284348 [0.888099,0.855394]
f_measure
0.8598509468166653 [0.872573,0.844214]
f_measure
0.8922444322920049 [0.904337,0.87738]
f_measure
0.8643328021562362 [0.878078,0.847483]
f_measure
0.8703582017688326 [0.883413,0.854354]
f_measure
0.8754790462172339 [0.889549,0.858232]
kappa
0.7534562211981567
kappa
0.7576213917819314
kappa
0.7757549742450258
kappa
0.7383001102507889
kappa
0.7436524737289103
kappa
0.7167885051676329
kappa
0.7818124247989362
kappa
0.7255890341734572
kappa
0.7377910029756696
kappa
0.7479122974951188
kb_relative_information_score
0.6431626972914987
kb_relative_information_score
0.6382139003232368
kb_relative_information_score
0.6543587176202235
kb_relative_information_score
0.6207022977950349
kb_relative_information_score
0.6286119002242574
kb_relative_information_score
0.6204244543831784
kb_relative_information_score
0.6399806856820929
kb_relative_information_score
0.6310139952579914
kb_relative_information_score
0.623808404748554
kb_relative_information_score
0.6351869746392876
mean_absolute_error
0.1894209105678721
mean_absolute_error
0.19185820709987594
mean_absolute_error
0.18490591886193858
mean_absolute_error
0.19997319131411265
mean_absolute_error
0.1964682715190892
mean_absolute_error
0.1990571376692772
mean_absolute_error
0.192846480989446
mean_absolute_error
0.19452291574885347
mean_absolute_error
0.19860535245336305
mean_absolute_error
0.19317689261543136
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
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]
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [825,673]
number_of_instances
1498 [825,673]
number_of_instances
1498 [825,673]
precision
0.8785679551828192 [0.877049,0.880435]
precision
0.8805214981685386 [0.880141,0.880989]
precision
0.8891072931543291 [0.895683,0.881024]
precision
0.871357467957813 [0.867596,0.875981]
precision
0.8741097338033361 [0.869061,0.880315]
precision
0.8599011478969709 [0.874696,0.841716]
precision
0.8927430260494643 [0.887981,0.898596]
precision
0.8643548540911691 [0.870238,0.857143]
precision
0.8703761090951057 [0.876043,0.863429]
precision
0.8760414428686459 [0.871944,0.881064]
predictive_accuracy
0.8785046728971964
predictive_accuracy
0.8805073431241656
predictive_accuracy
0.8891855807743658
predictive_accuracy
0.8711615487316422
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
0.37374589707942607
relative_absolute_error
0.40420101335605857
relative_absolute_error
0.3971166030730078
relative_absolute_error
0.402349416103958
relative_absolute_error
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relative_absolute_error
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relative_absolute_error
0.40138078037236946
relative_absolute_error
0.3904098804492129
root_mean_prior_squared_error
0.4973508728636661
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
0.30638688388431656
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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total_cost
0
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0
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total_cost
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total_cost
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total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
unweighted_recall
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unweighted_recall
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unweighted_recall
0.8874470338983051 [0.904358,0.870536]
unweighted_recall
0.8673577481840193 [0.904358,0.830357]
unweighted_recall
0.8699177764326069 [0.90799,0.831845]
unweighted_recall
0.8585931194511702 [0.87046,0.846726]
unweighted_recall
0.889225181598063 [0.921308,0.857143]
unweighted_recall
0.8620496195236166 [0.886061,0.838039]
unweighted_recall
0.8681885722004592 [0.890909,0.845468]
unweighted_recall
0.8722157683821874 [0.907879,0.836553]
usercpu_time_millis
3885.999248999724
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3901.080323000315
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
3863.540135999756
usercpu_time_millis
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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
10.191917000156536
usercpu_time_millis_testing
10.583891000351286
usercpu_time_millis_testing
10.687223000786616
usercpu_time_millis_testing
6.991213000219432
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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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
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wall_clock_time_millis
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wall_clock_time_millis
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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
11.15870475769043
wall_clock_time_millis_testing
10.159015655517578
wall_clock_time_millis_testing
10.750055313110352
wall_clock_time_millis_testing
10.482549667358398
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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3920.522928237915
wall_clock_time_millis_training
3864.8719787597656
wall_clock_time_millis_training
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weighted_recall
0.8785046728971962 [0.90678,0.84375]
weighted_recall
0.8805073431241656 [0.90678,0.848214]
weighted_recall
0.8891855807743658 [0.904358,0.870536]
weighted_recall
0.8711615487316422 [0.904358,0.830357]
weighted_recall
0.8738317757009346 [0.90799,0.831845]
weighted_recall
0.8598130841121495 [0.87046,0.846726]
weighted_recall
0.8925233644859814 [0.921308,0.857143]
weighted_recall
0.8644859813084113 [0.886061,0.838039]
weighted_recall
0.8704939919893191 [0.890909,0.845468]
weighted_recall
0.8758344459279038 [0.907879,0.836553]