10586535
28997
Marc Boel
9985
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)
8302817
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
0.7859469789513331
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
1413
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
88
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
11
19040
random_state
57554
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.3694782303675821
19040
verbose
0
19040
warm_start
false
19040
openml-python
Sklearn_1.0.1.
1475
first-order-theorem-proving
https://www.openml.org/data/download/1587932/phpPbCMyg
-1
22099341
description
https://api.openml.org/data/download/22099341/description.xml
-1
22099342
predictions
https://api.openml.org/data/download/22099342/predictions.arff
area_under_roc_curve
0.8181273859031 [0.760555,0.773547,0.806559,0.758949,0.789901,0.875739]
average_cost
0
f_measure
0.5502365849455246 [0.434659,0.325581,0.422944,0.359855,0.388982,0.764939]
kappa
0.40332769312996564
kb_relative_information_score
0.36847581410595426
mean_absolute_error
0.18029176260007046
mean_prior_absolute_error
0.2507645736611627
weighted_recall
0.5647270349787512 [0.421488,0.273663,0.409091,0.322528,0.373397,0.832028]
number_of_instances
6118 [1089,486,748,617,624,2554]
precision
0.5432508567908857 [0.44868,0.401813,0.437768,0.406953,0.405923,0.707861]
predictive_accuracy
0.5647270349787512
prior_entropy
2.3000072984859514
relative_absolute_error
0.7189682337014784
root_mean_prior_squared_error
0.35407492669342416
root_mean_squared_error
0.31241451604067955
root_relative_squared_error
0.8823401277187405
total_cost
0
unweighted_recall
0.4386991756423813 [0.421488,0.273663,0.409091,0.322528,0.373397,0.832028]
area_under_roc_curve
0.8310460297998375 [0.766912,0.736259,0.832437,0.77393,0.827305,0.890477]
area_under_roc_curve
0.8162120537313976 [0.746439,0.826832,0.842123,0.756686,0.803929,0.853924]
area_under_roc_curve
0.823464299770147 [0.762529,0.774821,0.800944,0.764282,0.798291,0.885852]
area_under_roc_curve
0.8186673737286105 [0.775485,0.787726,0.824246,0.717947,0.774413,0.876679]
area_under_roc_curve
0.8115058783032834 [0.716992,0.790409,0.776263,0.81217,0.817933,0.864602]
area_under_roc_curve
0.8045094007822247 [0.750707,0.700837,0.807784,0.752713,0.789531,0.862701]
area_under_roc_curve
0.8113811641146103 [0.780911,0.759216,0.77789,0.75151,0.771701,0.868485]
area_under_roc_curve
0.8274108904476721 [0.746649,0.801193,0.833693,0.759097,0.793768,0.889402]
area_under_roc_curve
0.8133203011446195 [0.778793,0.79002,0.765485,0.758271,0.752203,0.874323]
area_under_roc_curve
0.8243371219549709 [0.787721,0.773923,0.809603,0.74228,0.758328,0.889437]
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
0.5528744397500732 [0.452261,0.315789,0.391892,0.396552,0.409449,0.759857]
f_measure
0.5467695311858013 [0.431925,0.405405,0.489796,0.330275,0.33871,0.743268]
f_measure
0.5445004106692457 [0.367347,0.270833,0.47619,0.32381,0.434109,0.77314]
f_measure
0.5400423440373714 [0.398104,0.358974,0.476821,0.22,0.420168,0.761062]
f_measure
0.5418700290742757 [0.39819,0.361446,0.380282,0.418182,0.354839,0.761029]
f_measure
0.554664045919238 [0.401961,0.202532,0.496732,0.457627,0.452174,0.753153]
f_measure
0.5526472144024163 [0.529148,0.376471,0.307692,0.333333,0.378378,0.764286]
f_measure
0.5669763971427407 [0.418182,0.363636,0.48227,0.403361,0.389831,0.775956]
f_measure
0.543196074263704 [0.502326,0.305882,0.323077,0.37931,0.300885,0.767318]
f_measure
0.5530241397650757 [0.438095,0.309524,0.386207,0.306306,0.40678,0.790614]
kappa
0.40641675999736476
kappa
0.3965094412246649
kappa
0.3991993688030164
kappa
0.3933337018406942
kappa
0.3905135754007197
kappa
0.4117341773539806
kappa
0.4081651413254106
kappa
0.42395797230988136
kappa
0.3952215455186754
kappa
0.40811736084864986
kb_relative_information_score
0.38427400174665605
kb_relative_information_score
0.3764125749123799
kb_relative_information_score
0.3823735911814265
kb_relative_information_score
0.3579240757230172
kb_relative_information_score
0.36652426799936705
kb_relative_information_score
0.3584814601221316
kb_relative_information_score
0.36019623959250213
kb_relative_information_score
0.38470876548292
kb_relative_information_score
0.34565558975819294
kb_relative_information_score
0.36815559378593415
mean_absolute_error
0.17499390680983423
mean_absolute_error
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mean_absolute_error
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mean_absolute_error
0.18282794341533848
mean_absolute_error
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mean_absolute_error
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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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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
612 [109,48,74,62,63,256]
number_of_instances
612 [109,48,75,62,63,255]
number_of_instances
612 [108,49,75,62,63,255]
number_of_instances
612 [109,49,75,62,62,255]
number_of_instances
612 [109,49,75,62,62,255]
number_of_instances
612 [109,49,75,62,62,255]
number_of_instances
612 [109,49,75,62,62,255]
number_of_instances
612 [109,49,75,61,62,256]
number_of_instances
611 [109,48,75,61,62,256]
number_of_instances
611 [109,48,74,61,63,256]
precision
0.5486620837424169 [0.5,0.428571,0.391892,0.425926,0.40625,0.701987]
precision
0.5451336924950888 [0.442308,0.576923,0.5,0.382979,0.344262,0.68543]
precision
0.5374654661117391 [0.409091,0.276596,0.486111,0.395349,0.424242,0.719595]
precision
0.5327761940054145 [0.411765,0.482759,0.473684,0.289474,0.438596,0.693548]
precision
0.5376116803662252 [0.392857,0.441176,0.402985,0.479167,0.354839,0.716263]
precision
0.5467404982855651 [0.431579,0.266667,0.487179,0.482143,0.490566,0.696667]
precision
0.5462323949676453 [0.517544,0.444444,0.323529,0.425,0.428571,0.701639]
precision
0.5639143609651367 [0.414414,0.5,0.515152,0.413793,0.410714,0.726962]
precision
0.5339009180005496 [0.509434,0.351351,0.381818,0.4,0.333333,0.703583]
precision
0.5442309878234809 [0.455446,0.361111,0.394366,0.34,0.436364,0.734899]
predictive_accuracy
0.5669934640522876
predictive_accuracy
0.5604575163398693
predictive_accuracy
0.5588235294117647
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
0.5613747954173486
predictive_accuracy
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prior_entropy
2.2982053906988225
prior_entropy
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prior_entropy
2.3029972536480843
prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
2.301686142471426
prior_entropy
2.2983403180467192
prior_entropy
2.2961240491639523
prior_entropy
2.2965513970017746
relative_absolute_error
0.6980908993303515
relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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relative_absolute_error
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relative_absolute_error
0.7281307222799274
relative_absolute_error
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relative_absolute_error
0.7394868040844957
relative_absolute_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_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_prior_squared_error
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root_mean_squared_error
0.3111874431102225
root_mean_squared_error
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root_mean_squared_error
0.3127748231060986
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
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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
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
0.44442118053717267 [0.412844,0.25,0.391892,0.370968,0.412698,0.828125]
unweighted_recall
0.44165649474745017 [0.422018,0.3125,0.48,0.290323,0.333333,0.811765]
unweighted_recall
0.4365397054879299 [0.333333,0.265306,0.466667,0.274194,0.444444,0.835294]
unweighted_recall
0.42913630047066675 [0.385321,0.285714,0.48,0.177419,0.403226,0.843137]
unweighted_recall
0.4345605552075817 [0.40367,0.306122,0.36,0.370968,0.354839,0.811765]
unweighted_recall
0.4534208857657693 [0.376147,0.163265,0.506667,0.435484,0.419355,0.819608]
unweighted_recall
0.4355445435548196 [0.541284,0.326531,0.293333,0.274194,0.33871,0.839216]
unweighted_recall
0.4595845970929626 [0.422018,0.285714,0.453333,0.393443,0.370968,0.832031]
unweighted_recall
0.4208075772436743 [0.495413,0.270833,0.28,0.360656,0.274194,0.84375]
unweighted_recall
0.4310566193130183 [0.422018,0.270833,0.378378,0.278689,0.380952,0.855469]
usercpu_time_millis
9958.27052399909
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
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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_testing
12.552320000395412
usercpu_time_millis_testing
10.407860001578229
usercpu_time_millis_testing
11.725398002454313
usercpu_time_millis_testing
10.875836000195704
usercpu_time_millis_testing
10.611671998049133
usercpu_time_millis_testing
10.174541999731446
usercpu_time_millis_testing
10.392336000222713
usercpu_time_millis_testing
11.293757997918874
usercpu_time_millis_testing
10.78760800010059
usercpu_time_millis_testing
7.05312399804825
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
6440.059493001172
usercpu_time_millis_training
6067.185118001362
wall_clock_time_millis
10144.49143409729
wall_clock_time_millis
6544.3689823150635
wall_clock_time_millis
9717.90623664856
wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
6332.483291625977
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wall_clock_time_millis
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wall_clock_time_millis
6564.430952072144
wall_clock_time_millis
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wall_clock_time_millis_testing
12.556076049804688
wall_clock_time_millis_testing
10.411739349365234
wall_clock_time_millis_testing
11.728763580322266
wall_clock_time_millis_testing
10.879755020141602
wall_clock_time_millis_testing
10.614871978759766
wall_clock_time_millis_testing
10.178804397583008
wall_clock_time_millis_testing
10.396242141723633
wall_clock_time_millis_testing
11.614322662353516
wall_clock_time_millis_testing
10.80322265625
wall_clock_time_millis_testing
7.056713104248047
wall_clock_time_millis_training
10131.935358047485
wall_clock_time_millis_training
6533.957242965698
wall_clock_time_millis_training
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wall_clock_time_millis_training
6397.392272949219
wall_clock_time_millis_training
7633.5203647613525
wall_clock_time_millis_training
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wall_clock_time_millis_training
6564.708471298218
wall_clock_time_millis_training
8391.985177993774
wall_clock_time_millis_training
6553.627729415894
wall_clock_time_millis_training
6152.130365371704
weighted_recall
0.5669934640522876 [0.412844,0.25,0.391892,0.370968,0.412698,0.828125]
weighted_recall
0.5604575163398693 [0.422018,0.3125,0.48,0.290323,0.333333,0.811765]
weighted_recall
0.5588235294117647 [0.333333,0.265306,0.466667,0.274194,0.444444,0.835294]
weighted_recall
0.5604575163398693 [0.385321,0.285714,0.48,0.177419,0.403226,0.843137]
weighted_recall
0.5522875816993464 [0.40367,0.306122,0.36,0.370968,0.354839,0.811765]
weighted_recall
0.5702614379084967 [0.376147,0.163265,0.506667,0.435484,0.419355,0.819608]
weighted_recall
0.5702614379084967 [0.541284,0.326531,0.293333,0.274194,0.33871,0.839216]
weighted_recall
0.5784313725490197 [0.422018,0.285714,0.453333,0.393443,0.370968,0.832031]
weighted_recall
0.5613747954173486 [0.495413,0.270833,0.28,0.360656,0.274194,0.84375]
weighted_recall
0.5679214402618658 [0.422018,0.270833,0.378378,0.278689,0.380952,0.855469]