10586574
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)
8302856
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
"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
0.6998957209939678
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
792
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
78
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
1
19040
random_state
57082
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.27748720592862497
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
22099419
description
https://api.openml.org/data/download/22099419/description.xml
-1
22099420
predictions
https://api.openml.org/data/download/22099420/predictions.arff
area_under_roc_curve
0.8062848585806143 [0.748679,0.765406,0.800449,0.745325,0.78894,0.8593]
average_cost
0
f_measure
0.5258645863245123 [0.42236,0.256739,0.413793,0.349328,0.35671,0.738009]
kappa
0.3700559506374557
kb_relative_information_score
0.31980377511204566
mean_absolute_error
0.1933563060185996
mean_prior_absolute_error
0.2507645736611627
weighted_recall
0.547401111474338 [0.405877,0.205761,0.385027,0.294976,0.330128,0.834377]
number_of_instances
6118 [1089,486,748,617,624,2554]
precision
0.5190937939598802 [0.440239,0.341297,0.447205,0.428235,0.387947,0.661596]
predictive_accuracy
0.547401111474338
prior_entropy
2.3000072984859514
relative_absolute_error
0.7710670737720149
root_mean_prior_squared_error
0.35407492669342416
root_mean_squared_error
0.31542616800651657
root_relative_squared_error
0.8908458188558163
total_cost
0
unweighted_recall
0.40935772454310637 [0.405877,0.205761,0.385027,0.294976,0.330128,0.834377]
area_under_roc_curve
0.8175298750278163 [0.782279,0.716349,0.806051,0.760792,0.804421,0.871796]
area_under_roc_curve
0.8083254088963682 [0.754391,0.784538,0.845289,0.75195,0.777286,0.846361]
area_under_roc_curve
0.8036748659345048 [0.742798,0.727408,0.791645,0.739194,0.76111,0.873845]
area_under_roc_curve
0.8168303413049657 [0.757437,0.782216,0.810329,0.763299,0.806202,0.866381]
area_under_roc_curve
0.8009016339436986 [0.719089,0.790499,0.770068,0.766056,0.817097,0.851475]
area_under_roc_curve
0.8071197322564828 [0.750561,0.735781,0.815419,0.709809,0.766598,0.876075]
area_under_roc_curve
0.8057672068510107 [0.762508,0.738156,0.811446,0.756584,0.798886,0.849212]
area_under_roc_curve
0.8160375300955569 [0.713617,0.797676,0.815518,0.764631,0.834736,0.871033]
area_under_roc_curve
0.8118856686587128 [0.777578,0.828375,0.787413,0.752399,0.740804,0.861961]
area_under_roc_curve
0.7799818650467015 [0.734109,0.766319,0.765552,0.698063,0.783252,0.824961]
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
0.5213030497809645 [0.483412,0.136986,0.416667,0.296296,0.298246,0.749129]
f_measure
0.5212475448154913 [0.454545,0.231884,0.431655,0.365385,0.302521,0.722513]
f_measure
0.5106422914638112 [0.348718,0.214286,0.405594,0.294737,0.343284,0.760908]
f_measure
0.5295116226179556 [0.42,0.289157,0.423841,0.294737,0.417391,0.737931]
f_measure
0.5352113422649113 [0.405797,0.289474,0.4,0.442478,0.380165,0.737762]
f_measure
0.5478978211913491 [0.444444,0.184211,0.435374,0.414414,0.365385,0.77193]
f_measure
0.5211667099592093 [0.441441,0.26087,0.396947,0.373832,0.330097,0.724077]
f_measure
0.5364837519816529 [0.384615,0.333333,0.409449,0.381818,0.407407,0.745363]
f_measure
0.5370744104281648 [0.472727,0.337349,0.450704,0.3125,0.293103,0.739823]
f_measure
0.49177147824455 [0.350515,0.276923,0.360902,0.291262,0.429752,0.693069]
kappa
0.36886854395655344
kappa
0.36395523634541505
kappa
0.35572760449756946
kappa
0.37674501583337056
kappa
0.3820788212320256
kappa
0.40428807769318736
kappa
0.3620239688301703
kappa
0.38183907269102085
kappa
0.3843144518949357
kappa
0.3194542648389329
kb_relative_information_score
0.3244308912192882
kb_relative_information_score
0.3180923119676326
kb_relative_information_score
0.31458969391821173
kb_relative_information_score
0.3210570286600486
kb_relative_information_score
0.34347800990927463
kb_relative_information_score
0.32467471035262235
kb_relative_information_score
0.33493440089243415
kb_relative_information_score
0.3304836260581822
kb_relative_information_score
0.31539399658742
kb_relative_information_score
0.27072077244694154
mean_absolute_error
0.19097815105871913
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_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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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]
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
0.5089236341697375 [0.5,0.2,0.428571,0.347826,0.333333,0.676101]
precision
0.5176948504414515 [0.45045,0.380952,0.46875,0.452381,0.321429,0.650943]
precision
0.5037826673714769 [0.390805,0.257143,0.426471,0.424242,0.323944,0.685535]
precision
0.5252727967843268 [0.461538,0.352941,0.421053,0.424242,0.45283,0.658462]
precision
0.530589474287836 [0.428571,0.407407,0.45,0.490196,0.389831,0.665615]
precision
0.539508384408338 [0.448598,0.259259,0.444444,0.469388,0.452381,0.698413]
precision
0.5168581701977827 [0.433628,0.27907,0.464286,0.444444,0.414634,0.656051]
precision
0.5346115326399774 [0.40404,0.448276,0.5,0.428571,0.478261,0.655786]
precision
0.5317470340535144 [0.468468,0.4,0.477612,0.428571,0.314815,0.676375]
precision
0.4954837204864087 [0.4,0.529412,0.40678,0.357143,0.448276,0.6]
predictive_accuracy
0.545751633986928
predictive_accuracy
0.5424836601307189
predictive_accuracy
0.5343137254901961
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
2.2983403180467192
prior_entropy
2.2961240491639523
prior_entropy
2.2965513970017746
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
0.7665618414346089
relative_absolute_error
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relative_absolute_error
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relative_absolute_error
0.773678344565554
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
0.3150399521421667
root_mean_squared_error
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root_mean_squared_error
0.31795522259334386
root_mean_squared_error
0.3132279361917164
root_mean_squared_error
0.31550792486353396
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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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
0.3908685860498758 [0.46789,0.104167,0.405405,0.258065,0.269841,0.839844]
unweighted_recall
0.4048854779161344 [0.458716,0.166667,0.4,0.306452,0.285714,0.811765]
unweighted_recall
0.3884904547243031 [0.314815,0.183673,0.386667,0.225806,0.365079,0.854902]
unweighted_recall
0.41816743980812215 [0.385321,0.244898,0.426667,0.225806,0.387097,0.839216]
unweighted_recall
0.4285759042691753 [0.385321,0.22449,0.36,0.403226,0.370968,0.827451]
unweighted_recall
0.42500920581313323 [0.440367,0.142857,0.426667,0.370968,0.306452,0.862745]
unweighted_recall
0.40762054017621646 [0.449541,0.244898,0.346667,0.322581,0.274194,0.807843]
unweighted_recall
0.42355458682320885 [0.366972,0.265306,0.346667,0.344262,0.354839,0.863281]
unweighted_recall
0.42198316520802975 [0.477064,0.291667,0.426667,0.245902,0.274194,0.816406]
unweighted_recall
0.3837772469785978 [0.311927,0.1875,0.324324,0.245902,0.412698,0.820312]
usercpu_time_millis
4686.906405000627
usercpu_time_millis
3231.68755900042
usercpu_time_millis
4981.115542002954
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
3824.7337890024937
usercpu_time_millis
4954.877401996782
usercpu_time_millis
3810.9630870021647
usercpu_time_millis
3291.569293996872
usercpu_time_millis
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usercpu_time_millis_testing
9.375344001455233
usercpu_time_millis_testing
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usercpu_time_millis_testing
9.754257000167854
usercpu_time_millis_testing
9.56919600139372
usercpu_time_millis_testing
9.910303000651766
usercpu_time_millis_testing
9.380893003253732
usercpu_time_millis_testing
9.482425997703103
usercpu_time_millis_testing
9.693325002444908
usercpu_time_millis_testing
6.02215699836961
usercpu_time_millis_testing
8.665675999509403
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
3219.2958179985
usercpu_time_millis_training
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usercpu_time_millis_training
3815.35289599924
usercpu_time_millis_training
4945.394975999079
usercpu_time_millis_training
3801.26976199972
usercpu_time_millis_training
3285.5471369985025
usercpu_time_millis_training
1780.0659150016145
wall_clock_time_millis
4789.7093296051025
wall_clock_time_millis
3311.95330619812
wall_clock_time_millis
5098.502159118652
wall_clock_time_millis
3286.419153213501
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
3879.279851913452
wall_clock_time_millis
3337.726831436157
wall_clock_time_millis
1835.5071544647217
wall_clock_time_millis_testing
9.379863739013672
wall_clock_time_millis_testing
9.10329818725586
wall_clock_time_millis_testing
9.760856628417969
wall_clock_time_millis_testing
9.618997573852539
wall_clock_time_millis_testing
9.947538375854492
wall_clock_time_millis_testing
9.384870529174805
wall_clock_time_millis_testing
9.48786735534668
wall_clock_time_millis_testing
11.260747909545898
wall_clock_time_millis_testing
6.026268005371094
wall_clock_time_millis_testing
8.671283721923828
wall_clock_time_millis_training
4780.329465866089
wall_clock_time_millis_training
3302.8500080108643
wall_clock_time_millis_training
5088.741302490234
wall_clock_time_millis_training
3276.8001556396484
wall_clock_time_millis_training
5095.510721206665
wall_clock_time_millis_training
3892.4028873443604
wall_clock_time_millis_training
5035.612106323242
wall_clock_time_millis_training
3868.0191040039062
wall_clock_time_millis_training
3331.700563430786
wall_clock_time_millis_training
1826.8358707427979
weighted_recall
0.545751633986928 [0.46789,0.104167,0.405405,0.258065,0.269841,0.839844]
weighted_recall
0.5424836601307189 [0.458716,0.166667,0.4,0.306452,0.285714,0.811765]
weighted_recall
0.5343137254901961 [0.314815,0.183673,0.386667,0.225806,0.365079,0.854902]
weighted_recall
0.5522875816993464 [0.385321,0.244898,0.426667,0.225806,0.387097,0.839216]
weighted_recall
0.553921568627451 [0.385321,0.22449,0.36,0.403226,0.370968,0.827451]
weighted_recall
0.5702614379084967 [0.440367,0.142857,0.426667,0.370968,0.306452,0.862745]
weighted_recall
0.5392156862745098 [0.449541,0.244898,0.346667,0.322581,0.274194,0.807843]
weighted_recall
0.5604575163398693 [0.366972,0.265306,0.346667,0.344262,0.354839,0.863281]
weighted_recall
0.5548281505728314 [0.477064,0.291667,0.426667,0.245902,0.274194,0.816406]
weighted_recall
0.5204582651391162 [0.311927,0.1875,0.324324,0.245902,0.412698,0.820312]