10586483
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)
8302765
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
0.7945172854671253
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
86
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
38
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
14
19040
random_state
48265
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.14555042582441097
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
22099236
description
https://api.openml.org/data/download/22099236/description.xml
-1
22099237
predictions
https://api.openml.org/data/download/22099237/predictions.arff
area_under_roc_curve
0.8283354404640196 [0.763791,0.773688,0.817029,0.780335,0.804159,0.887069]
average_cost
0
f_measure
0.557051705485213 [0.436898,0.342649,0.435393,0.394737,0.381201,0.76689]
kappa
0.41159040023989346
kb_relative_information_score
0.3857790762201461
mean_absolute_error
0.17442883513717822
mean_prior_absolute_error
0.2507645736611627
weighted_recall
0.5701209545603139 [0.437098,0.290123,0.414439,0.364668,0.350962,0.828896]
number_of_instances
6118 [1089,486,748,617,624,2554]
precision
0.5508299085374578 [0.436697,0.418398,0.45858,0.43021,0.417143,0.713515]
predictive_accuracy
0.5701209545603139
prior_entropy
2.3000072984859514
relative_absolute_error
0.6955880274096028
root_mean_prior_squared_error
0.35407492669342416
root_mean_squared_error
0.31048501933035866
root_relative_squared_error
0.8768907254457815
total_cost
0
unweighted_recall
0.4476975583361398 [0.437098,0.290123,0.414439,0.364668,0.350962,0.828896]
area_under_roc_curve
0.8353980638418067 [0.767678,0.768543,0.816839,0.765381,0.839651,0.898042]
area_under_roc_curve
0.8523161534522746 [0.804941,0.787049,0.859665,0.836496,0.825614,0.893135]
area_under_roc_curve
0.8132057155052572 [0.712219,0.791315,0.809236,0.727522,0.791222,0.887615]
area_under_roc_curve
0.8311917694772849 [0.777628,0.832838,0.81023,0.782375,0.763167,0.888345]
area_under_roc_curve
0.8003116617836142 [0.714529,0.720412,0.785363,0.744223,0.796848,0.871209]
area_under_roc_curve
0.8285059822704248 [0.774117,0.684562,0.835531,0.803416,0.812727,0.887285]
area_under_roc_curve
0.8200996158762272 [0.778047,0.74256,0.790279,0.797097,0.789677,0.874735]
area_under_roc_curve
0.8456271172154506 [0.756425,0.836445,0.841986,0.807994,0.808798,0.904319]
area_under_roc_curve
0.8362323846894169 [0.785656,0.800196,0.808905,0.787064,0.797329,0.893667]
area_under_roc_curve
0.8231605141095961 [0.768915,0.787855,0.806331,0.743368,0.820878,0.877316]
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
0.5593683001059662 [0.470046,0.275,0.363636,0.357143,0.410714,0.792857]
f_measure
0.5808945964591667 [0.455814,0.35443,0.544218,0.413223,0.431034,0.765568]
f_measure
0.5490477835332161 [0.394231,0.296296,0.514286,0.4,0.322034,0.765734]
f_measure
0.5660010890842128 [0.470046,0.404494,0.456376,0.325203,0.375,0.775281]
f_measure
0.5353897150517615 [0.356808,0.348837,0.356164,0.467742,0.37037,0.756856]
f_measure
0.5650642460525952 [0.456621,0.26506,0.475524,0.428571,0.417391,0.764493]
f_measure
0.5317554265924272 [0.450216,0.325,0.342857,0.339623,0.333333,0.756856]
f_measure
0.586567491005911 [0.39819,0.463415,0.507463,0.436975,0.479339,0.775137]
f_measure
0.547383862891346 [0.44843,0.37037,0.378788,0.422018,0.283186,0.765957]
f_measure
0.5467851027822406 [0.465116,0.317073,0.413333,0.348624,0.385965,0.75]
kappa
0.41750484163178603
kappa
0.4434339759912696
kappa
0.4023415392013613
kappa
0.42383898136959614
kappa
0.3833562495907812
kappa
0.4230360255346827
kappa
0.37921975568107175
kappa
0.44728734677824633
kappa
0.39827025746210637
kappa
0.39705569454940315
kb_relative_information_score
0.390077914811621
kb_relative_information_score
0.4249828993473326
kb_relative_information_score
0.35229013695455064
kb_relative_information_score
0.39006216666893634
kb_relative_information_score
0.37288330430128025
kb_relative_information_score
0.4024936991466203
kb_relative_information_score
0.3745496980684598
kb_relative_information_score
0.42150362454339435
kb_relative_information_score
0.3764342532672049
kb_relative_information_score
0.3524340239038591
mean_absolute_error
0.17450176206009385
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
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number_of_instances
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number_of_instances
612 [108,49,75,62,63,255]
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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
0.5509396686041143 [0.472222,0.34375,0.376812,0.4,0.469388,0.730263]
precision
0.5765741436993401 [0.462264,0.451613,0.555556,0.423729,0.471698,0.718213]
precision
0.543142745259088 [0.41,0.375,0.553846,0.488372,0.345455,0.690852]
precision
0.5613449328778389 [0.472222,0.45,0.459459,0.327869,0.42,0.741935]
precision
0.5292216443766637 [0.365385,0.405405,0.366197,0.467742,0.434783,0.708904]
precision
0.5586527509504159 [0.454545,0.323529,0.5,0.48,0.45283,0.710438]
precision
0.5264921663990098 [0.42623,0.419355,0.369231,0.409091,0.344828,0.708904]
precision
0.5859068804527 [0.392857,0.575758,0.576271,0.448276,0.491525,0.728522]
precision
0.5412971371447427 [0.438596,0.454545,0.438596,0.479167,0.313725,0.701299]
precision
0.5405917790360142 [0.471698,0.382353,0.407895,0.395833,0.431373,0.699324]
predictive_accuracy
0.576797385620915
predictive_accuracy
0.5915032679738562
predictive_accuracy
0.5686274509803921
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
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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
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prior_entropy
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prior_entropy
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prior_entropy
2.2961240491639523
prior_entropy
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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
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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
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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
0.30822552862148944
root_mean_squared_error
0.3010069015931785
root_mean_squared_error
0.3145478519307514
root_mean_squared_error
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root_mean_squared_error
0.32115406795729334
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
0.4338759060859257 [0.46789,0.229167,0.351351,0.322581,0.365079,0.867188]
unweighted_recall
0.48236672180298906 [0.449541,0.291667,0.533333,0.403226,0.396825,0.819608]
unweighted_recall
0.4339413495386207 [0.37963,0.244898,0.48,0.33871,0.301587,0.858824]
unweighted_recall
0.4602708681381204 [0.46789,0.367347,0.453333,0.322581,0.33871,0.811765]
unweighted_recall
0.433916709230797 [0.348624,0.306122,0.346667,0.467742,0.322581,0.811765]
unweighted_recall
0.45636387572687154 [0.458716,0.22449,0.453333,0.387097,0.387097,0.827451]
unweighted_recall
0.4145063790535451 [0.477064,0.265306,0.32,0.290323,0.322581,0.811765]
unweighted_recall
0.49447576730423065 [0.40367,0.387755,0.453333,0.42623,0.467742,0.828125]
unweighted_recall
0.43056877102008495 [0.458716,0.3125,0.333333,0.377049,0.258065,0.84375]
unweighted_recall
0.4362905596041571 [0.458716,0.270833,0.418919,0.311475,0.349206,0.808594]
usercpu_time_millis
11815.005711003323
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
15538.004584996088
usercpu_time_millis
17257.645867000974
usercpu_time_millis
11421.95142700075
usercpu_time_millis
16927.700226002344
usercpu_time_millis
13535.795132000203
usercpu_time_millis
5386.29488800143
usercpu_time_millis_testing
11.215057002118556
usercpu_time_millis_testing
11.921005003387108
usercpu_time_millis_testing
9.943387998646358
usercpu_time_millis_testing
11.872160001075827
usercpu_time_millis_testing
11.907652999070706
usercpu_time_millis_testing
12.588560999574838
usercpu_time_millis_testing
11.001334001775831
usercpu_time_millis_testing
12.479226999857929
usercpu_time_millis_testing
11.669708997942507
usercpu_time_millis_testing
6.399206002242863
usercpu_time_millis_training
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usercpu_time_millis_training
14917.567840002448
usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
15526.096931997017
usercpu_time_millis_training
17245.0573060014
usercpu_time_millis_training
11410.950092998974
usercpu_time_millis_training
16915.220999002486
usercpu_time_millis_training
13524.12542300226
usercpu_time_millis_training
5379.895681999187
wall_clock_time_millis
12047.897100448608
wall_clock_time_millis
15219.572067260742
wall_clock_time_millis
7140.164852142334
wall_clock_time_millis
12413.655042648315
wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
11616.288185119629
wall_clock_time_millis
17253.957509994507
wall_clock_time_millis
13811.367511749268
wall_clock_time_millis
5433.230400085449
wall_clock_time_millis_testing
11.220693588256836
wall_clock_time_millis_testing
11.925220489501953
wall_clock_time_millis_testing
9.965181350708008
wall_clock_time_millis_testing
11.91258430480957
wall_clock_time_millis_testing
11.912107467651367
wall_clock_time_millis_testing
12.595176696777344
wall_clock_time_millis_testing
11.007308959960938
wall_clock_time_millis_testing
16.23082160949707
wall_clock_time_millis_testing
11.779069900512695
wall_clock_time_millis_testing
6.402492523193359
wall_clock_time_millis_training
12036.676406860352
wall_clock_time_millis_training
15207.64684677124
wall_clock_time_millis_training
7130.199670791626
wall_clock_time_millis_training
12401.742458343506
wall_clock_time_millis_training
15846.986770629883
wall_clock_time_millis_training
17567.997455596924
wall_clock_time_millis_training
11605.280876159668
wall_clock_time_millis_training
17237.72668838501
wall_clock_time_millis_training
13799.588441848755
wall_clock_time_millis_training
5426.827907562256
weighted_recall
0.576797385620915 [0.46789,0.229167,0.351351,0.322581,0.365079,0.867188]
weighted_recall
0.5915032679738562 [0.449541,0.291667,0.533333,0.403226,0.396825,0.819608]
weighted_recall
0.5686274509803921 [0.37963,0.244898,0.48,0.33871,0.301587,0.858824]
weighted_recall
0.5735294117647058 [0.46789,0.367347,0.453333,0.322581,0.33871,0.811765]
weighted_recall
0.5473856209150327 [0.348624,0.306122,0.346667,0.467742,0.322581,0.811765]
weighted_recall
0.5784313725490197 [0.458716,0.22449,0.453333,0.387097,0.387097,0.827451]
weighted_recall
0.545751633986928 [0.477064,0.265306,0.32,0.290323,0.322581,0.811765]
weighted_recall
0.5947712418300654 [0.40367,0.387755,0.453333,0.42623,0.467742,0.828125]
weighted_recall
0.5646481178396072 [0.458716,0.3125,0.333333,0.377049,0.258065,0.84375]
weighted_recall
0.5597381342062193 [0.458716,0.270833,0.418919,0.311475,0.349206,0.808594]