10435790
8323
Heinrich Peters
9985
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8255881
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"median"
12737
verbose
0
12737
copy
true
13294
with_mean
true
13294
with_std
true
13294
C
0.10624363454623975
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.4927944639918054
13389
decision_function_shape
"ovr"
13389
degree
2
13389
gamma
0.4389095597471219
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
true
13389
random_state
1
13389
shrinking
true
13389
tol
0.001
13389
verbose
false
13389
memory
null
16345
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}]
16345
verbose
false
16345
openml-python
Sklearn_0.21.2.
1475
first-order-theorem-proving
https://www.openml.org/data/download/1587932/phpPbCMyg
-1
21794492
description
https://api.openml.org/data/download/21794492/description.xml
-1
21794493
predictions
https://api.openml.org/data/download/21794493/predictions.arff
area_under_roc_curve
0.791925136527782 [0.745473,0.73283,0.784254,0.729182,0.783187,0.842516]
average_cost
0
f_measure
0.4570335231333402 [0.456613,0.122378,0.340088,0.165249,0.14531,0.701796]
kappa
0.28963677014131334
kb_relative_information_score
0.21614151652206176
mean_absolute_error
0.21947717784993903
mean_prior_absolute_error
0.2507645736611627
weighted_recall
0.5274599542334096 [0.451791,0.072016,0.258021,0.110211,0.088141,0.933438]
number_of_instances
6118 [1089,486,748,617,624,2554]
precision
0.4856451996118143 [0.461538,0.406977,0.498708,0.330097,0.413534,0.562264]
predictive_accuracy
0.5274599542334095
prior_entropy
2.3000072984859514
relative_absolute_error
0.8752319940794357
root_mean_prior_squared_error
0.35407492669342416
root_mean_squared_error
0.3236467760785998
root_relative_squared_error
0.9140629614782902
total_cost
0
unweighted_recall
0.3189363253607133 [0.451791,0.072016,0.258021,0.110211,0.088141,0.933438]
area_under_roc_curve
0.8010623604383741 [0.78827,0.717568,0.788029,0.746056,0.804059,0.838516]
area_under_roc_curve
0.7918558185452492 [0.746849,0.75676,0.801837,0.73717,0.775783,0.832032]
area_under_roc_curve
0.7918442792876857 [0.725841,0.7041,0.788156,0.734927,0.753043,0.861169]
area_under_roc_curve
0.7956887411140127 [0.741304,0.712981,0.820087,0.687801,0.770132,0.860098]
area_under_roc_curve
0.7827865522368488 [0.694138,0.789067,0.745214,0.739443,0.811862,0.833992]
area_under_roc_curve
0.7867873225696527 [0.741806,0.750208,0.782384,0.757507,0.733607,0.834388]
area_under_roc_curve
0.7856292594412153 [0.773551,0.712709,0.761142,0.758255,0.763622,0.824013]
area_under_roc_curve
0.8110237257293926 [0.70427,0.787581,0.835407,0.75154,0.837419,0.861602]
area_under_roc_curve
0.7939489557239916 [0.77893,0.665261,0.801642,0.694352,0.791997,0.846424]
area_under_roc_curve
0.7914036793933522 [0.762318,0.745763,0.750315,0.690015,0.813579,0.842925]
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
0.46951582095681077 [0.504587,0.038462,0.324786,0.224719,0.162162,0.712166]
f_measure
0.47732200064606484 [0.490566,0.115385,0.383333,0.197531,0.2,0.703976]
f_measure
0.45868572424890985 [0.418182,0.15873,0.381818,0.25,0.085714,0.698972]
f_measure
0.4678579708922582 [0.486726,0.066667,0.414414,0.054054,0.162162,0.727541]
f_measure
0.4299335775079298 [0.396313,0.178571,0.277778,0.197802,0.030303,0.690962]
f_measure
0.43569702246111675 [0.398058,0.071429,0.393162,0.166667,0.083333,0.685377]
f_measure
0.45014352624543935 [0.488263,0.215385,0.273504,0.148148,0.103896,0.688525]
f_measure
0.431572090707947 [0.409302,0.166667,0.353982,0.057143,0.029851,0.701001]
f_measure
0.48576166452623437 [0.509259,0.172414,0.311927,0.209302,0.23913,0.711044]
f_measure
0.44926689925853447 [0.462264,0,0.283186,0.106667,0.282353,0.69869]
kappa
0.31187528509807366
kappa
0.31531271428055857
kappa
0.2895440851576622
kappa
0.3190275724660968
kappa
0.2547509505933395
kappa
0.2586711441592708
kappa
0.2785260826967654
kappa
0.2641052605835311
kappa
0.3223606015193013
kappa
0.2812814355712756
kb_relative_information_score
0.2228134713735236
kb_relative_information_score
0.21986044857689305
kb_relative_information_score
0.21250055710873808
kb_relative_information_score
0.22420917894172263
kb_relative_information_score
0.20322438060083609
kb_relative_information_score
0.21421441825494522
kb_relative_information_score
0.21865037022842565
kb_relative_information_score
0.2218134229622084
kb_relative_information_score
0.21926638992649508
kb_relative_information_score
0.20485294369543877
mean_absolute_error
0.2182680921092254
mean_absolute_error
0.21942050996113377
mean_absolute_error
0.21975351744248986
mean_absolute_error
0.21799713792401557
mean_absolute_error
0.2223971476900807
mean_absolute_error
0.220320527428455
mean_absolute_error
0.21886295249305346
mean_absolute_error
0.21763963450589516
mean_absolute_error
0.2190199484422401
mean_absolute_error
0.22109420559813478
mean_prior_absolute_error
0.25067495791407446
mean_prior_absolute_error
0.25083558171073006
mean_prior_absolute_error
0.25088921191526126
mean_prior_absolute_error
0.25084785528987646
mean_prior_absolute_error
0.25084785528987646
mean_prior_absolute_error
0.25084785528987646
mean_prior_absolute_error
0.25084785528987646
mean_prior_absolute_error
0.25067558048692967
mean_prior_absolute_error
0.25058368192114683
mean_prior_absolute_error
0.25059472840439195
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
0.49674823476833063 [0.504587,0.25,0.44186,0.37037,0.545455,0.574163]
precision
0.5373414854175156 [0.504854,0.75,0.511111,0.421053,0.470588,0.563679]
precision
0.507788196133957 [0.410714,0.357143,0.6,0.555556,0.428571,0.558685]
precision
0.48684303178152605 [0.470085,0.181818,0.638889,0.166667,0.5,0.582547]
precision
0.46969093820721036 [0.398148,0.714286,0.454545,0.310345,0.25,0.549884]
precision
0.4485643828001887 [0.42268,0.285714,0.547619,0.235294,0.3,0.549763]
precision
0.46114341007433113 [0.5,0.4375,0.380952,0.315789,0.266667,0.555288]
precision
0.44857415931022493 [0.415094,0.454545,0.526316,0.222222,0.2,0.553047]
precision
0.5086163348495157 [0.514019,0.5,0.5,0.36,0.366667,0.580247]
precision
0.45263135067030286 [0.475728,0,0.410256,0.285714,0.545455,0.556845]
predictive_accuracy
0.5408496732026145
predictive_accuracy
0.5441176470588236
predictive_accuracy
0.5277777777777778
predictive_accuracy
0.5473856209150327
predictive_accuracy
0.5065359477124183
predictive_accuracy
0.5049019607843137
predictive_accuracy
0.5163398692810458
predictive_accuracy
0.5179738562091503
predictive_accuracy
0.5433715220949263
predictive_accuracy
0.5253682487725041
prior_entropy
2.2982053906988225
prior_entropy
2.3010980143383097
prior_entropy
2.3029972536480843
prior_entropy
2.301686142471426
prior_entropy
2.301686142471426
prior_entropy
2.301686142471426
prior_entropy
2.301686142471426
prior_entropy
2.2983403180467192
prior_entropy
2.2961240491639523
prior_entropy
2.2965513970017746
relative_absolute_error
0.8707215667870686
relative_absolute_error
0.8747583116584116
relative_absolute_error
0.8758986317702349
relative_absolute_error
0.8690412667555039
relative_absolute_error
0.8865818184216943
relative_absolute_error
0.878303412934727
relative_absolute_error
0.8724928193631087
relative_absolute_error
0.8682123487383047
relative_absolute_error
0.874039150367185
relative_absolute_error
0.882277959340584
root_mean_prior_squared_error
0.35394835494159665
root_mean_prior_squared_error
0.3541751851309153
root_mean_prior_squared_error
0.3542508884492025
root_mean_prior_squared_error
0.3541925116962025
root_mean_prior_squared_error
0.3541925116962025
root_mean_prior_squared_error
0.3541925116962025
root_mean_prior_squared_error
0.3541925116962025
root_mean_prior_squared_error
0.3539492344090008
root_mean_prior_squared_error
0.3538193917423618
root_mean_prior_squared_error
0.35383500173976573
root_mean_squared_error
0.32238326715574483
root_mean_squared_error
0.3239260322860101
root_mean_squared_error
0.32287222078066125
root_mean_squared_error
0.32121118357498524
root_mean_squared_error
0.32659441012919027
root_mean_squared_error
0.325399454380625
root_mean_squared_error
0.3243035672701774
root_mean_squared_error
0.32153656037546685
root_mean_squared_error
0.32293719400015847
root_mean_squared_error
0.325262156933272
root_relative_squared_error
0.9108200748918291
root_relative_squared_error
0.9145926814897435
root_relative_squared_error
0.9114224729092224
root_relative_squared_error
0.9068830451460645
root_relative_squared_error
0.9220816345471367
root_relative_squared_error
0.9187078880417612
root_relative_squared_error
0.9156138443388057
root_relative_squared_error
0.9084256416385408
root_relative_squared_error
0.9127176224284207
root_relative_squared_error
0.9192481109387018
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
0.3293676106453555 [0.504587,0.020833,0.256757,0.16129,0.095238,0.9375]
unweighted_recall
0.33991702897659676 [0.477064,0.0625,0.306667,0.129032,0.126984,0.937255]
unweighted_recall
0.32503490763091375 [0.425926,0.102041,0.28,0.16129,0.047619,0.933333]
unweighted_recall
0.32495497636758164 [0.504587,0.040816,0.306667,0.032258,0.096774,0.968627]
unweighted_recall
0.29787305274284914 [0.394495,0.102041,0.2,0.145161,0.016129,0.929412]
unweighted_recall
0.3018088430992403 [0.376147,0.040816,0.306667,0.129032,0.048387,0.909804]
unweighted_recall
0.316737895315964 [0.477064,0.142857,0.213333,0.096774,0.064516,0.905882]
unweighted_recall
0.29638739587796764 [0.40367,0.102041,0.266667,0.032787,0.016129,0.957031]
unweighted_recall
0.34639159629031724 [0.504587,0.104167,0.226667,0.147541,0.177419,0.917969]
unweighted_recall
0.30988457693131327 [0.449541,0,0.216216,0.065574,0.190476,0.9375]
usercpu_time_millis
17590.247634999967
usercpu_time_millis
17542.157622000104
usercpu_time_millis
17371.6225390001
usercpu_time_millis
17221.764270999985
usercpu_time_millis
17439.049215000065
usercpu_time_millis
17401.340186999958
usercpu_time_millis
17758.44918300004
usercpu_time_millis
17531.97585200019
usercpu_time_millis
17522.50217899996
usercpu_time_millis
17465.98472200003
usercpu_time_millis_testing
152.76914400010355
usercpu_time_millis_testing
149.69341000005443
usercpu_time_millis_testing
152.50883300018359
usercpu_time_millis_testing
150.38646399989375
usercpu_time_millis_testing
152.01012900001842
usercpu_time_millis_testing
147.27384100001473
usercpu_time_millis_testing
153.18661900005281
usercpu_time_millis_testing
151.9862740001372
usercpu_time_millis_testing
153.2673449999038
usercpu_time_millis_testing
152.1750439999323
usercpu_time_millis_training
17437.478490999863
usercpu_time_millis_training
17392.46421200005
usercpu_time_millis_training
17219.113705999916
usercpu_time_millis_training
17071.37780700009
usercpu_time_millis_training
17287.039086000048
usercpu_time_millis_training
17254.066345999945
usercpu_time_millis_training
17605.262563999986
usercpu_time_millis_training
17379.98957800005
usercpu_time_millis_training
17369.234834000054
usercpu_time_millis_training
17313.8096780001
wall_clock_time_millis
17590.829372406006
wall_clock_time_millis
17542.15908050537
wall_clock_time_millis
17372.35164642334
wall_clock_time_millis
17223.501443862915
wall_clock_time_millis
17439.027786254883
wall_clock_time_millis
17406.437158584595
wall_clock_time_millis
17758.452892303467
wall_clock_time_millis
17534.08193588257
wall_clock_time_millis
17522.544145584106
wall_clock_time_millis
17466.00294113159
wall_clock_time_millis_testing
152.77099609375
wall_clock_time_millis_testing
149.69682693481445
wall_clock_time_millis_testing
152.5113582611084
wall_clock_time_millis_testing
150.3884792327881
wall_clock_time_millis_testing
152.01282501220703
wall_clock_time_millis_testing
147.2768783569336
wall_clock_time_millis_testing
153.18965911865234
wall_clock_time_millis_testing
152.14276313781738
wall_clock_time_millis_testing
153.27072143554688
wall_clock_time_millis_testing
152.18019485473633
wall_clock_time_millis_training
17438.058376312256
wall_clock_time_millis_training
17392.462253570557
wall_clock_time_millis_training
17219.84028816223
wall_clock_time_millis_training
17073.112964630127
wall_clock_time_millis_training
17287.014961242676
wall_clock_time_millis_training
17259.16028022766
wall_clock_time_millis_training
17605.263233184814
wall_clock_time_millis_training
17381.93917274475
wall_clock_time_millis_training
17369.27342414856
wall_clock_time_millis_training
17313.822746276855
weighted_recall
0.5408496732026143 [0.504587,0.020833,0.256757,0.16129,0.095238,0.9375]
weighted_recall
0.5441176470588235 [0.477064,0.0625,0.306667,0.129032,0.126984,0.937255]
weighted_recall
0.5277777777777778 [0.425926,0.102041,0.28,0.16129,0.047619,0.933333]
weighted_recall
0.5473856209150327 [0.504587,0.040816,0.306667,0.032258,0.096774,0.968627]
weighted_recall
0.5065359477124183 [0.394495,0.102041,0.2,0.145161,0.016129,0.929412]
weighted_recall
0.5049019607843137 [0.376147,0.040816,0.306667,0.129032,0.048387,0.909804]
weighted_recall
0.5163398692810458 [0.477064,0.142857,0.213333,0.096774,0.064516,0.905882]
weighted_recall
0.5179738562091504 [0.40367,0.102041,0.266667,0.032787,0.016129,0.957031]
weighted_recall
0.5433715220949263 [0.504587,0.104167,0.226667,0.147541,0.177419,0.917969]
weighted_recall
0.5253682487725041 [0.449541,0,0.216216,0.065574,0.190476,0.9375]