10586556
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)
8302838
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
"most_frequent"
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
0.7610989698830385
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
852
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
175
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
15
19040
random_state
8265
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.23070183823979137
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
22099383
description
https://api.openml.org/data/download/22099383/description.xml
-1
22099384
predictions
https://api.openml.org/data/download/22099384/predictions.arff
area_under_roc_curve
0.8292514836151319 [0.769884,0.788503,0.820096,0.776595,0.803589,0.883991]
average_cost
0
f_measure
0.5572507331974568 [0.439571,0.338611,0.441522,0.362808,0.392328,0.770195]
kappa
0.41266748641139844
kb_relative_information_score
0.38352749912015127
mean_absolute_error
0.1769654142878546
mean_prior_absolute_error
0.2507645736611627
weighted_recall
0.5725727361882968 [0.432507,0.286008,0.426471,0.322528,0.360577,0.841817]
number_of_instances
6118 [1089,486,748,617,624,2554]
precision
0.5504621271651358 [0.446869,0.414925,0.457676,0.414583,0.43021,0.709805]
predictive_accuracy
0.5725727361882968
prior_entropy
2.3000072984859514
relative_absolute_error
0.7057034081974163
root_mean_prior_squared_error
0.35407492669342416
root_mean_squared_error
0.3084116752052126
root_relative_squared_error
0.8710350605318373
total_cost
0
unweighted_recall
0.4449846249818101 [0.432507,0.286008,0.426471,0.322528,0.360577,0.841817]
area_under_roc_curve
0.8403831116920931 [0.7831,0.745346,0.835854,0.783548,0.829025,0.900462]
area_under_roc_curve
0.8336493952619397 [0.791818,0.809286,0.842557,0.809311,0.762165,0.877075]
area_under_roc_curve
0.8395078727372107 [0.776841,0.791242,0.839181,0.790205,0.817171,0.892926]
area_under_roc_curve
0.828931283687804 [0.763793,0.819516,0.831409,0.733607,0.786496,0.891349]
area_under_roc_curve
0.8244828760137531 [0.756498,0.812647,0.802744,0.786012,0.795543,0.878602]
area_under_roc_curve
0.8291465022861181 [0.759434,0.751695,0.818684,0.797463,0.79783,0.892223]
area_under_roc_curve
0.8193694935984683 [0.779972,0.769493,0.801875,0.774971,0.803739,0.865535]
area_under_roc_curve
0.83325160168888 [0.748071,0.816363,0.851099,0.760421,0.807801,0.891042]
area_under_roc_curve
0.8231849683955063 [0.775641,0.816422,0.7824,0.75924,0.805085,0.876265]
area_under_roc_curve
0.827269081278792 [0.773658,0.764284,0.808684,0.783517,0.833044,0.876282]
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
0.5747765216269184 [0.488688,0.268657,0.480519,0.386555,0.4,0.784672]
f_measure
0.5520057610822688 [0.443396,0.342105,0.418919,0.411215,0.37931,0.753982]
f_measure
0.5480624431135422 [0.392344,0.22449,0.465753,0.357895,0.403101,0.78245]
f_measure
0.5580458552914188 [0.464455,0.341463,0.489796,0.26087,0.392523,0.772242]
f_measure
0.5545044916425813 [0.388889,0.481928,0.358209,0.414414,0.376068,0.774423]
f_measure
0.5735871185808881 [0.449541,0.337349,0.424658,0.452174,0.414414,0.784029]
f_measure
0.5515719351654976 [0.493392,0.337349,0.360902,0.396226,0.389381,0.75089]
f_measure
0.575969549074463 [0.434389,0.379747,0.510949,0.327586,0.440678,0.78481]
f_measure
0.5326700941126281 [0.425121,0.292683,0.47619,0.271845,0.342342,0.748252]
f_measure
0.5493716299537009 [0.40796,0.386364,0.418301,0.345455,0.381818,0.767857]
kappa
0.43925356462316845
kappa
0.4045090834036687
kappa
0.40188776585309144
kappa
0.4151032170793389
kappa
0.40781892701304623
kappa
0.4346327427811939
kappa
0.404886349823751
kappa
0.43581470384881316
kappa
0.38017026431472517
kappa
0.4019348452454987
kb_relative_information_score
0.3920384374643603
kb_relative_information_score
0.3810055566805737
kb_relative_information_score
0.39262309668697065
kb_relative_information_score
0.3878548669581637
kb_relative_information_score
0.39325304584687415
kb_relative_information_score
0.39337295919210263
kb_relative_information_score
0.3713337815167232
kb_relative_information_score
0.3954775569759621
kb_relative_information_score
0.35836225075061606
kb_relative_information_score
0.3698231070925979
mean_absolute_error
0.17608147730245405
mean_absolute_error
0.17895276569380408
mean_absolute_error
0.17261524506393167
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
0.25088921191526126
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
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number_of_instances
612 [109,49,75,62,62,255]
number_of_instances
612 [109,49,75,62,62,255]
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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
0.5733521122447709 [0.482143,0.473684,0.4625,0.403509,0.442308,0.736301]
precision
0.5482755316316499 [0.456311,0.464286,0.424658,0.488889,0.415094,0.687097]
precision
0.546402311303225 [0.405941,0.22449,0.478873,0.515152,0.393939,0.732877]
precision
0.5512670370994104 [0.480392,0.424242,0.5,0.283019,0.466667,0.70684]
precision
0.5498465760136395 [0.392523,0.588235,0.40678,0.469388,0.4,0.707792]
precision
0.5678450419910213 [0.449541,0.411765,0.43662,0.490566,0.469388,0.72973]
precision
0.546628039796603 [0.474576,0.411765,0.413793,0.477273,0.431373,0.687296]
precision
0.5726392287482315 [0.428571,0.5,0.564516,0.345455,0.464286,0.73064]
precision
0.5238617407227243 [0.44898,0.352941,0.486111,0.333333,0.387755,0.677215]
precision
0.5430530269631351 [0.445652,0.425,0.405063,0.387755,0.446809,0.707237]
predictive_accuracy
0.5898692810457516
predictive_accuracy
0.5686274509803921
predictive_accuracy
0.5604575163398693
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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predictive_accuracy
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prior_entropy
2.2982053906988225
prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
2.301686142471426
prior_entropy
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prior_entropy
2.2961240491639523
prior_entropy
2.2965513970017746
relative_absolute_error
0.702429467896074
relative_absolute_error
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relative_absolute_error
0.6880138199096144
relative_absolute_error
0.7024288801273392
relative_absolute_error
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relative_absolute_error
0.6965808006128271
relative_absolute_error
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relative_absolute_error
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relative_absolute_error
0.7298840322537203
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
0.3035557356977382
root_mean_squared_error
0.30509836970184434
root_mean_squared_error
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root_mean_squared_error
0.3060463827987087
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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total_cost
0
total_cost
0
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
total_cost
0
unweighted_recall
0.4598006168419244 [0.495413,0.1875,0.5,0.370968,0.365079,0.839844]
unweighted_recall
0.4424497506246588 [0.431193,0.270833,0.413333,0.354839,0.349206,0.835294]
unweighted_recall
0.430593401040225 [0.37963,0.22449,0.453333,0.274194,0.412698,0.839216]
unweighted_recall
0.44114685392752345 [0.449541,0.285714,0.48,0.241935,0.33871,0.85098]
unweighted_recall
0.44903212977012846 [0.385321,0.408163,0.32,0.370968,0.354839,0.854902]
unweighted_recall
0.4643283846043103 [0.449541,0.285714,0.413333,0.419355,0.370968,0.847059]
unweighted_recall
0.4400791868488542 [0.513761,0.285714,0.32,0.33871,0.354839,0.827451]
unweighted_recall
0.4652737644448443 [0.440367,0.306122,0.466667,0.311475,0.419355,0.847656]
unweighted_recall
0.4153722835103077 [0.40367,0.25,0.466667,0.229508,0.306452,0.835938]
unweighted_recall
0.4412330635432206 [0.376147,0.354167,0.432432,0.311475,0.333333,0.839844]
usercpu_time_millis
14104.768530000001
usercpu_time_millis
12550.473210001655
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usercpu_time_millis
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usercpu_time_millis
15543.544378004299
usercpu_time_millis
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usercpu_time_millis
18470.50343600131
usercpu_time_millis
11061.072807002347
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
12.351094999758061
usercpu_time_millis_testing
15.637942000466865
usercpu_time_millis_testing
12.685597001109272
usercpu_time_millis_testing
11.780618002376286
usercpu_time_millis_testing
13.553107000916498
usercpu_time_millis_testing
11.974490000284277
usercpu_time_millis_testing
8.147306001774268
usercpu_time_millis_training
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usercpu_time_millis_training
12538.406484000006
usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
23221.777183996892
usercpu_time_millis_training
15530.85878100319
usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
11049.098317002063
usercpu_time_millis_training
9222.243868000078
wall_clock_time_millis
14373.846769332886
wall_clock_time_millis
12815.565586090088
wall_clock_time_millis
18420.175790786743
wall_clock_time_millis
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wall_clock_time_millis
23641.35980606079
wall_clock_time_millis
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wall_clock_time_millis
11667.896032333374
wall_clock_time_millis
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wall_clock_time_millis
11283.130168914795
wall_clock_time_millis
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wall_clock_time_millis_testing
12.427330017089844
wall_clock_time_millis_testing
12.28022575378418
wall_clock_time_millis_testing
13.257265090942383
wall_clock_time_millis_testing
12.355566024780273
wall_clock_time_millis_testing
15.856504440307617
wall_clock_time_millis_testing
12.778997421264648
wall_clock_time_millis_testing
11.784553527832031
wall_clock_time_millis_testing
13.55743408203125
wall_clock_time_millis_testing
11.98887825012207
wall_clock_time_millis_testing
8.151054382324219
wall_clock_time_millis_training
14361.419439315796
wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
14366.86372756958
wall_clock_time_millis_training
23625.503301620483
wall_clock_time_millis_training
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wall_clock_time_millis_training
11656.111478805542
wall_clock_time_millis_training
18764.87374305725
wall_clock_time_millis_training
11271.141290664673
wall_clock_time_millis_training
9262.36343383789
weighted_recall
0.5898692810457516 [0.495413,0.1875,0.5,0.370968,0.365079,0.839844]
weighted_recall
0.5686274509803921 [0.431193,0.270833,0.413333,0.354839,0.349206,0.835294]
weighted_recall
0.5604575163398693 [0.37963,0.22449,0.453333,0.274194,0.412698,0.839216]
weighted_recall
0.5751633986928104 [0.449541,0.285714,0.48,0.241935,0.33871,0.85098]
weighted_recall
0.5702614379084967 [0.385321,0.408163,0.32,0.370968,0.354839,0.854902]
weighted_recall
0.5866013071895425 [0.449541,0.285714,0.413333,0.419355,0.370968,0.847059]
weighted_recall
0.5686274509803921 [0.513761,0.285714,0.32,0.33871,0.354839,0.827451]
weighted_recall
0.5882352941176471 [0.440367,0.306122,0.466667,0.311475,0.419355,0.847656]
weighted_recall
0.5531914893617021 [0.40367,0.25,0.466667,0.229508,0.306452,0.835938]
weighted_recall
0.5646481178396072 [0.376147,0.354167,0.432432,0.311475,0.333333,0.839844]