10586523
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)
8302805
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
0.1494979687743398
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
154
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
119
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
12
19040
random_state
7977
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.11601887794896137
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
22099316
description
https://api.openml.org/data/download/22099316/description.xml
-1
22099317
predictions
https://api.openml.org/data/download/22099317/predictions.arff
area_under_roc_curve
0.8374690823333202 [0.785624,0.80334,0.82918,0.793419,0.813203,0.885068]
average_cost
0
f_measure
0.5577396788339565 [0.458846,0.320106,0.450826,0.360624,0.383275,0.766684]
kappa
0.4140318473996159
kb_relative_information_score
0.3494326757469918
mean_absolute_error
0.18750909577898117
mean_prior_absolute_error
0.2507645736611627
weighted_recall
0.5799280810722458 [0.445363,0.248971,0.419786,0.299838,0.352564,0.870399]
number_of_instances
6118 [1089,486,748,617,624,2554]
precision
0.5537628571222377 [0.473171,0.448148,0.486822,0.452323,0.419847,0.685054]
predictive_accuracy
0.5799280810722458
prior_entropy
2.3000072984859514
relative_absolute_error
0.7477495446878656
root_mean_prior_squared_error
0.35407492669342416
root_mean_squared_error
0.30408009032031097
root_relative_squared_error
0.8588015343532043
total_cost
0
unweighted_recall
0.4394869015506393 [0.445363,0.248971,0.419786,0.299838,0.352564,0.870399]
area_under_roc_curve
0.8448249004267061 [0.798639,0.791482,0.823244,0.799707,0.845072,0.891596]
area_under_roc_curve
0.8439108638442621 [0.802752,0.804965,0.871757,0.808607,0.799549,0.880189]
area_under_roc_curve
0.8341924164692583 [0.764357,0.799,0.81897,0.797669,0.804421,0.891245]
area_under_roc_curve
0.8444335127996678 [0.787623,0.826386,0.855469,0.797258,0.800953,0.890981]
area_under_roc_curve
0.8210492248931283 [0.7513,0.788089,0.791819,0.784721,0.833211,0.87167]
area_under_roc_curve
0.8370120188544462 [0.775932,0.755881,0.84843,0.796774,0.820176,0.889229]
area_under_roc_curve
0.8302647912058881 [0.814179,0.804419,0.804457,0.784795,0.80827,0.866101]
area_under_roc_curve
0.8450066192141665 [0.760182,0.841791,0.851024,0.78815,0.832918,0.896451]
area_under_roc_curve
0.8398017410158839 [0.792856,0.842177,0.816493,0.805142,0.782052,0.888419]
area_under_roc_curve
0.8373103783095392 [0.814595,0.773868,0.818599,0.775857,0.809929,0.885668]
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
0.564145499315233 [0.478469,0.264706,0.405797,0.37037,0.453782,0.776632]
f_measure
0.5632783771548994 [0.493274,0.268657,0.460432,0.423077,0.353982,0.764706]
f_measure
0.5210477581483829 [0.374384,0.2,0.467153,0.340426,0.344262,0.748299]
f_measure
0.5815641051027182 [0.475728,0.415584,0.562092,0.333333,0.407407,0.767123]
f_measure
0.5305538307772241 [0.386473,0.390244,0.378788,0.336634,0.353982,0.75382]
f_measure
0.5878793841581679 [0.472222,0.373333,0.521127,0.37037,0.418182,0.792321]
f_measure
0.5563467050370404 [0.529148,0.307692,0.381679,0.384615,0.424779,0.74087]
f_measure
0.5629449331447748 [0.453704,0.351351,0.437956,0.361905,0.352941,0.78534]
f_measure
0.5509295189090544 [0.471698,0.329114,0.449275,0.350515,0.303571,0.763699]
f_measure
0.5540168065044093 [0.442211,0.289474,0.424658,0.330275,0.420168,0.774869]
kappa
0.42477770483976846
kappa
0.4228717753748784
kappa
0.36626305145065974
kappa
0.4471544715447153
kappa
0.37705261582216903
kappa
0.45532217871128505
kappa
0.4110377474166855
kappa
0.4212197184352238
kappa
0.4041640255497587
kappa
0.40994907718650536
kb_relative_information_score
0.3494413278843505
kb_relative_information_score
0.35446564539104114
kb_relative_information_score
0.33895288629707154
kb_relative_information_score
0.35544645157538435
kb_relative_information_score
0.3462061331806805
kb_relative_information_score
0.35480374220610267
kb_relative_information_score
0.34889892595352023
kb_relative_information_score
0.3580543338392735
kb_relative_information_score
0.34193880936465393
kb_relative_information_score
0.3460950917565663
mean_absolute_error
0.187706396225191
mean_absolute_error
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mean_absolute_error
0.18779047844526364
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
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
0.5609132587862209 [0.5,0.45,0.4375,0.434783,0.482143,0.693252]
precision
0.5636837191016758 [0.482456,0.473684,0.5,0.52381,0.4,0.684211]
precision
0.5170703202478844 [0.4,0.258065,0.516129,0.5,0.355932,0.660661]
precision
0.5830942406766854 [0.505155,0.571429,0.551282,0.470588,0.478261,0.680851]
precision
0.5260988447679041 [0.408163,0.484848,0.438596,0.435897,0.392157,0.664671]
precision
0.5857009049341017 [0.476636,0.538462,0.552239,0.434783,0.479167,0.713836]
precision
0.5532760469606334 [0.517544,0.413793,0.446429,0.47619,0.470588,0.665625]
precision
0.5597593052560869 [0.457944,0.52,0.483871,0.431818,0.368421,0.709779]
precision
0.5464496752298038 [0.485437,0.419355,0.492063,0.472222,0.34,0.679878]
precision
0.5471160392061124 [0.488889,0.392857,0.430556,0.375,0.446429,0.700315]
predictive_accuracy
0.5882352941176471
predictive_accuracy
0.5866013071895425
predictive_accuracy
0.5473856209150327
predictive_accuracy
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predictive_accuracy
0.5555555555555556
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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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
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relative_absolute_error
0.7488039403183319
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
0.7510552318498871
relative_absolute_error
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relative_absolute_error
0.7497789919988987
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
0.3045720183004731
root_mean_squared_error
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root_mean_squared_error
0.3069779243545755
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
0.4430930914068954 [0.458716,0.1875,0.378378,0.322581,0.428571,0.882812]
unweighted_recall
0.4429532527390621 [0.504587,0.1875,0.426667,0.354839,0.31746,0.866667]
unweighted_recall
0.3993211286904248 [0.351852,0.163265,0.426667,0.258065,0.333333,0.862745]
unweighted_recall
0.4734566380562287 [0.449541,0.326531,0.573333,0.258065,0.354839,0.878431]
unweighted_recall
0.41569980858082606 [0.366972,0.326531,0.333333,0.274194,0.322581,0.870588]
unweighted_recall
0.4717803321387744 [0.46789,0.285714,0.493333,0.322581,0.370968,0.890196]
unweighted_recall
0.4440812055314382 [0.541284,0.244898,0.333333,0.322581,0.387097,0.835294]
unweighted_recall
0.44065645735134495 [0.449541,0.265306,0.4,0.311475,0.33871,0.878906]
unweighted_recall
0.42780968099570044 [0.458716,0.270833,0.413333,0.278689,0.274194,0.871094]
unweighted_recall
0.43514169573245653 [0.40367,0.229167,0.418919,0.295082,0.396825,0.867188]
usercpu_time_millis
35431.87134600157
usercpu_time_millis
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usercpu_time_millis
35180.184056000144
usercpu_time_millis
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usercpu_time_millis
35436.554521998914
usercpu_time_millis
35423.270774997945
usercpu_time_millis
35136.05360699876
usercpu_time_millis
35079.58477599823
usercpu_time_millis
35000.87683800302
usercpu_time_millis
35033.46482100096
usercpu_time_millis_testing
16.896261000511004
usercpu_time_millis_testing
18.243225997139234
usercpu_time_millis_testing
18.270237000251655
usercpu_time_millis_testing
17.666085001110332
usercpu_time_millis_testing
16.85036900016712
usercpu_time_millis_testing
16.614224998193095
usercpu_time_millis_testing
16.63767799982452
usercpu_time_millis_testing
17.4997939975583
usercpu_time_millis_testing
11.088365001342027
usercpu_time_millis_testing
17.11957000225084
usercpu_time_millis_training
35414.97508500106
usercpu_time_millis_training
35332.31483999771
usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
35419.70415299875
usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
35062.08498200067
usercpu_time_millis_training
34989.78847300168
usercpu_time_millis_training
35016.34525099871
wall_clock_time_millis
36092.53406524658
wall_clock_time_millis
36092.24843978882
wall_clock_time_millis
35870.12195587158
wall_clock_time_millis
35842.55385398865
wall_clock_time_millis
36143.52464675903
wall_clock_time_millis
36115.389347076416
wall_clock_time_millis
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wall_clock_time_millis
35822.25680351257
wall_clock_time_millis
35728.346824645996
wall_clock_time_millis
35632.328271865845
wall_clock_time_millis_testing
16.90053939819336
wall_clock_time_millis_testing
18.247127532958984
wall_clock_time_millis_testing
18.274307250976562
wall_clock_time_millis_testing
17.670392990112305
wall_clock_time_millis_testing
18.09978485107422
wall_clock_time_millis_testing
16.63804054260254
wall_clock_time_millis_testing
18.273115158081055
wall_clock_time_millis_testing
17.543792724609375
wall_clock_time_millis_testing
11.0931396484375
wall_clock_time_millis_testing
17.233848571777344
wall_clock_time_millis_training
36075.63352584839
wall_clock_time_millis_training
36074.00131225586
wall_clock_time_millis_training
35851.847648620605
wall_clock_time_millis_training
35824.883460998535
wall_clock_time_millis_training
36125.42486190796
wall_clock_time_millis_training
36098.75130653381
wall_clock_time_millis_training
35769.561529159546
wall_clock_time_millis_training
35804.713010787964
wall_clock_time_millis_training
35717.25368499756
wall_clock_time_millis_training
35615.09442329407
weighted_recall
0.5882352941176471 [0.458716,0.1875,0.378378,0.322581,0.428571,0.882812]
weighted_recall
0.5866013071895425 [0.504587,0.1875,0.426667,0.354839,0.31746,0.866667]
weighted_recall
0.5473856209150327 [0.351852,0.163265,0.426667,0.258065,0.333333,0.862745]
weighted_recall
0.6045751633986928 [0.449541,0.326531,0.573333,0.258065,0.354839,0.878431]
weighted_recall
0.5555555555555556 [0.366972,0.326531,0.333333,0.274194,0.322581,0.870588]
weighted_recall
0.6078431372549019 [0.46789,0.285714,0.493333,0.322581,0.370968,0.890196]
weighted_recall
0.576797385620915 [0.541284,0.244898,0.333333,0.322581,0.387097,0.835294]
weighted_recall
0.5833333333333334 [0.449541,0.265306,0.4,0.311475,0.33871,0.878906]
weighted_recall
0.574468085106383 [0.458716,0.270833,0.413333,0.278689,0.274194,0.871094]
weighted_recall
0.574468085106383 [0.40367,0.229167,0.418919,0.295082,0.396825,0.867188]