10586510
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)
8302792
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
0.4855929437112723
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
1251
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
68
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
8
19040
random_state
42496
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.01579262857646586
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
22099290
description
https://api.openml.org/data/download/22099290/description.xml
-1
22099291
predictions
https://api.openml.org/data/download/22099291/predictions.arff
area_under_roc_curve
0.837657650302031 [0.785203,0.798438,0.830534,0.79,0.802913,0.889575]
average_cost
0
f_measure
0.5544066178464186 [0.448694,0.33877,0.423581,0.368715,0.384886,0.765108]
kappa
0.4086165506094946
kb_relative_information_score
0.3668123882385602
mean_absolute_error
0.18189879650229512
mean_prior_absolute_error
0.2507645736611627
weighted_recall
0.5733899967309578 [0.44169,0.277778,0.389037,0.320908,0.350962,0.855129]
number_of_instances
6118 [1089,486,748,617,624,2554]
precision
0.5486000189342685 [0.455924,0.434084,0.464856,0.43326,0.42607,0.692235]
predictive_accuracy
0.5733899967309578
prior_entropy
2.3000072984859514
relative_absolute_error
0.7253767701177751
root_mean_prior_squared_error
0.35407492669342416
root_mean_squared_error
0.3042741900414956
root_relative_squared_error
0.8593497226222727
total_cost
0
unweighted_recall
0.43925053324834057 [0.44169,0.277778,0.389037,0.320908,0.350962,0.855129]
area_under_roc_curve
0.8468101631149473 [0.805005,0.776411,0.826309,0.788768,0.824284,0.903337]
area_under_roc_curve
0.8368783118213534 [0.787003,0.77763,0.889609,0.814883,0.764218,0.877141]
area_under_roc_curve
0.8511798665325911 [0.78114,0.798238,0.855009,0.811628,0.821219,0.906909]
area_under_roc_curve
0.8520528260932543 [0.793432,0.838873,0.853644,0.774619,0.808754,0.90853]
area_under_roc_curve
0.811266419843083 [0.759516,0.765669,0.77923,0.777038,0.791745,0.86464]
area_under_roc_curve
0.8395027740245521 [0.78714,0.758038,0.813904,0.798607,0.811554,0.901807]
area_under_roc_curve
0.8209941778128202 [0.799259,0.798637,0.816052,0.778768,0.781598,0.85588]
area_under_roc_curve
0.8479911183584735 [0.751847,0.839073,0.859168,0.801464,0.837405,0.901011]
area_under_roc_curve
0.8426622089812732 [0.795058,0.848653,0.817512,0.785067,0.791659,0.895252]
area_under_roc_curve
0.8299977464594147 [0.803547,0.791112,0.805061,0.775201,0.797851,0.876728]
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
0.569746742756025 [0.478469,0.345679,0.382979,0.410714,0.396694,0.785714]
f_measure
0.5631685758506456 [0.472727,0.28169,0.478873,0.466019,0.357724,0.753982]
f_measure
0.5514667880376499 [0.392344,0.270833,0.469697,0.367347,0.421875,0.773619]
f_measure
0.5657210335882625 [0.463768,0.309524,0.486486,0.321429,0.425926,0.775221]
f_measure
0.5301568517901984 [0.407767,0.372093,0.346457,0.396226,0.347107,0.743945]
f_measure
0.5685863958650439 [0.433962,0.35,0.464789,0.362069,0.428571,0.782918]
f_measure
0.5263598398066264 [0.488688,0.38961,0.310078,0.358491,0.326531,0.721754]
f_measure
0.5649784614765017 [0.4375,0.356164,0.455882,0.363636,0.389381,0.78169]
f_measure
0.5733768115070615 [0.473684,0.455696,0.442748,0.307692,0.35514,0.792321]
f_measure
0.5292778921705699 [0.432692,0.257143,0.383562,0.336449,0.392523,0.743151]
kappa
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kappa
0.41949627967402864
kappa
0.4052827089009574
kappa
0.4255530606986418
kappa
0.3755264241745113
kappa
0.42858403176003534
kappa
0.3690341807016752
kappa
0.4225026365940756
kappa
0.4348015830091347
kappa
0.37433233308327085
kb_relative_information_score
0.38040405539794897
kb_relative_information_score
0.3647515621094856
kb_relative_information_score
0.39473817916421355
kb_relative_information_score
0.3923383842709711
kb_relative_information_score
0.3352163766556318
kb_relative_information_score
0.38022811979398774
kb_relative_information_score
0.3386945590715415
kb_relative_information_score
0.37741485201919805
kb_relative_information_score
0.367498243211758
kb_relative_information_score
0.3367457650319
mean_absolute_error
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mean_absolute_error
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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
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number_of_instances
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612 [109,49,75,62,62,255]
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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
0.5629683910098082 [0.5,0.424242,0.402985,0.46,0.413793,0.723684]
precision
0.56306321914898 [0.468468,0.434783,0.507463,0.585366,0.366667,0.687097]
precision
0.5493248585531898 [0.405941,0.276596,0.54386,0.5,0.415385,0.70915]
precision
0.5588876107225921 [0.489796,0.371429,0.493151,0.36,0.5,0.706452]
precision
0.5253453962662744 [0.43299,0.432432,0.423077,0.477273,0.355932,0.665635]
precision
0.5626735455537831 [0.446602,0.451613,0.492537,0.388889,0.48,0.716612]
precision
0.5267309414651044 [0.482143,0.535714,0.37037,0.431818,0.444444,0.633136]
precision
0.5635568666709676 [0.426087,0.541667,0.508197,0.408163,0.431373,0.711538]
precision
0.5701579419213338 [0.453782,0.580645,0.517857,0.372093,0.422222,0.716088]
precision
0.5257990125265232 [0.454545,0.409091,0.388889,0.391304,0.477273,0.661585]
predictive_accuracy
0.5849673202614379
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.5833333333333334
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
2.2983403180467192
prior_entropy
2.2961240491639523
prior_entropy
2.2965513970017746
relative_absolute_error
0.708611318067495
relative_absolute_error
0.7343134400445366
relative_absolute_error
0.692332923546132
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
0.7262174346414557
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_squared_error
0.303967103834523
root_mean_squared_error
0.30249157787995684
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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total_cost
0
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
unweighted_recall
0.45442370845827856 [0.458716,0.291667,0.364865,0.370968,0.380952,0.859375]
unweighted_recall
0.45172135464951824 [0.477064,0.208333,0.453333,0.387097,0.349206,0.835294]
unweighted_recall
0.43802391446423256 [0.37963,0.265306,0.413333,0.290323,0.428571,0.85098]
unweighted_recall
0.45096449115307563 [0.440367,0.265306,0.48,0.290323,0.370968,0.858824]
unweighted_recall
0.4209569427060555 [0.385321,0.326531,0.293333,0.33871,0.33871,0.843137]
unweighted_recall
0.45604736399837625 [0.422018,0.285714,0.44,0.33871,0.387097,0.862745]
unweighted_recall
0.41198896249828726 [0.495413,0.306122,0.266667,0.306452,0.258065,0.839216]
unweighted_recall
0.4463459670537364 [0.449541,0.265306,0.413333,0.327869,0.354839,0.867188]
unweighted_recall
0.4520908259289671 [0.495413,0.375,0.386667,0.262295,0.306452,0.886719]
unweighted_recall
0.40913232760367907 [0.412844,0.1875,0.378378,0.295082,0.333333,0.847656]
usercpu_time_millis
19999.203677998594
usercpu_time_millis
11599.803132998204
usercpu_time_millis
23974.449199002265
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
13553.875312001765
usercpu_time_millis
14733.416327002487
usercpu_time_millis
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usercpu_time_millis_testing
12.356725997960893
usercpu_time_millis_testing
11.613948998274282
usercpu_time_millis_testing
13.256335001642583
usercpu_time_millis_testing
11.750563000532566
usercpu_time_millis_testing
10.393119002401363
usercpu_time_millis_testing
12.853374999394873
usercpu_time_millis_testing
9.792038003070047
usercpu_time_millis_testing
11.045527000533184
usercpu_time_millis_testing
11.993910000455799
usercpu_time_millis_testing
6.795490000513382
usercpu_time_millis_training
19986.846952000633
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
13542.829785001231
usercpu_time_millis_training
14721.422417002032
usercpu_time_millis_training
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wall_clock_time_millis
20388.227462768555
wall_clock_time_millis
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wall_clock_time_millis
24432.008504867554
wall_clock_time_millis
18740.068674087524
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
13808.894157409668
wall_clock_time_millis
15025.448083877563
wall_clock_time_millis
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wall_clock_time_millis_testing
12.36104965209961
wall_clock_time_millis_testing
17.841577529907227
wall_clock_time_millis_testing
13.360023498535156
wall_clock_time_millis_testing
11.75379753112793
wall_clock_time_millis_testing
10.411977767944336
wall_clock_time_millis_testing
12.86172866821289
wall_clock_time_millis_testing
9.795904159545898
wall_clock_time_millis_testing
11.049270629882812
wall_clock_time_millis_testing
12.00556755065918
wall_clock_time_millis_testing
6.799221038818359
wall_clock_time_millis_training
20375.866413116455
wall_clock_time_millis_training
11785.645484924316
wall_clock_time_millis_training
24418.64848136902
wall_clock_time_millis_training
18728.314876556396
wall_clock_time_millis_training
10533.545017242432
wall_clock_time_millis_training
20706.377029418945
wall_clock_time_millis_training
8182.736873626709
wall_clock_time_millis_training
13797.844886779785
wall_clock_time_millis_training
15013.442516326904
wall_clock_time_millis_training
8861.151695251465
weighted_recall
0.5849673202614379 [0.458716,0.291667,0.364865,0.370968,0.380952,0.859375]
weighted_recall
0.5800653594771242 [0.477064,0.208333,0.453333,0.387097,0.349206,0.835294]
weighted_recall
0.5669934640522876 [0.37963,0.265306,0.413333,0.290323,0.428571,0.85098]
weighted_recall
0.5833333333333334 [0.440367,0.265306,0.48,0.290323,0.370968,0.858824]
weighted_recall
0.5506535947712419 [0.385321,0.326531,0.293333,0.33871,0.33871,0.843137]
weighted_recall
0.5849673202614379 [0.422018,0.285714,0.44,0.33871,0.387097,0.862745]
weighted_recall
0.5522875816993464 [0.495413,0.306122,0.266667,0.306452,0.258065,0.839216]
weighted_recall
0.5833333333333334 [0.449541,0.265306,0.413333,0.327869,0.354839,0.867188]
weighted_recall
0.5941080196399345 [0.495413,0.375,0.386667,0.262295,0.306452,0.886719]
weighted_recall
0.5531914893617021 [0.412844,0.1875,0.378378,0.295082,0.333333,0.847656]