7337760
1
Jan van Rijn
3950
Supervised Classification
predictive_accuracy
6952
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1)
5369655
axis
0
6947
categorical_features
[0]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"median"
6947
strategy_nominal
"most_frequent"
6947
verbose
0
6947
categorical_features
[0]
6948
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
6948
handle_unknown
"ignore"
6948
n_values
"auto"
6948
sparse
true
6948
threshold
0.0
6949
C
987.0073283215144
6953
cache_size
200
6953
class_weight
null
6953
coef0
-0.5009768269339256
6953
decision_function_shape
null
6953
degree
3
6953
gamma
0.5892569914396497
6953
kernel
"rbf"
6953
max_iter
-1
6953
probability
true
6953
random_state
55898
6953
shrinking
false
6953
tol
0.009485363283728926
6953
verbose
false
6953
openml-pimp
openml-python
Sklearn_0.18.1.
1116
musk
https://www.openml.org/data/download/53999/musk.arff
-1
15603219
description
https://api.openml.org/data/download/15603219/description.xml
-1
15603220
predictions
https://api.openml.org/data/download/15603220/predictions.arff
area_under_roc_curve
0.6207949890386982 [0.620795,0.620795]
average_cost
0
f_measure
0.7884132996459376 [0.919288,0.070209]
kappa
0.06003662723574248
kb_relative_information_score
261.5865443686291
mean_absolute_error
0.2511159085971447
mean_prior_absolute_error
0.26083092213436454
number_of_instances
6598 [5581,1017]
precision
0.8736556721704982 [0.850633,1]
predictive_accuracy
0.8514701424674144
prior_entropy
0.6203559250859288
recall
0.8514701424674144 [1,0.036382]
relative_absolute_error
0.9627535973966491
root_mean_prior_squared_error
0.36108063272361846
root_mean_squared_error
0.35266762231858567
root_relative_squared_error
0.9767004662045323
total_cost
0
area_under_roc_curve
0.7528383428682761 [0.752838,0.752838]
area_under_roc_curve
0.7217741935483871 [0.721774,0.721774]
area_under_roc_curve
0.714333403612341 [0.714333,0.714333]
area_under_roc_curve
0.7596457938013915 [0.759646,0.759646]
area_under_roc_curve
0.7620967741935484 [0.762097,0.762097]
area_under_roc_curve
0.7459677419354839 [0.745968,0.745968]
area_under_roc_curve
0.7476017288635884 [0.747602,0.747602]
area_under_roc_curve
0.7529605031976948 [0.752961,0.752961]
area_under_roc_curve
0.7488910181340714 [0.748891,0.748891]
area_under_roc_curve
0.7319990063522481 [0.731999,0.731999]
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
0.7804325491952266 [0.917898,0.019608]
f_measure
0.7853968253968253 [0.918519,0.057143]
f_measure
0.7888691396260324 [0.919275,0.075472]
f_measure
0.7888691396260324 [0.919275,0.075472]
f_measure
0.7853968253968253 [0.918519,0.057143]
f_measure
0.7888691396260324 [0.919275,0.075472]
f_measure
0.7818710894368788 [0.917763,0.038462]
f_measure
0.7989805707894482 [0.921552,0.12844]
f_measure
0.7907035489450075 [0.920033,0.07619]
f_measure
0.7941278939071506 [0.920792,0.09434]
kappa
0.016657230549182066
kappa
0.048742138364779405
kappa
0.0645609163484904
kappa
0.0645609163484904
kappa
0.048742138364779405
kappa
0.0645609163484904
kappa
0.032711924023918544
kappa
0.11078965282505089
kappa
0.06527556406919464
kappa
0.0810528150601362
kb_relative_information_score
19.440592900738284
kb_relative_information_score
25.84660222944397
kb_relative_information_score
25.575848180859666
kb_relative_information_score
34.11918482324097
kb_relative_information_score
20.637301805107427
kb_relative_information_score
30.23917580247426
kb_relative_information_score
23.991005458670994
kb_relative_information_score
39.71491000769212
kb_relative_information_score
19.69284515223045
kb_relative_information_score
22.329078008172203
mean_absolute_error
0.2527230382004738
mean_absolute_error
0.2516327708836158
mean_absolute_error
0.25160091113175553
mean_absolute_error
0.24932729686546026
mean_absolute_error
0.25421816218793564
mean_absolute_error
0.25032561841467105
mean_absolute_error
0.2523142133979739
mean_absolute_error
0.24880646272013648
mean_absolute_error
0.25164990243667007
mean_absolute_error
0.24855764265385355
mean_prior_absolute_error
0.2600651974288342
mean_prior_absolute_error
0.26111294765840265
mean_prior_absolute_error
0.26111294765840265
mean_prior_absolute_error
0.26111294765840265
mean_prior_absolute_error
0.26111294765840265
mean_prior_absolute_error
0.26111294765840265
mean_prior_absolute_error
0.26111294765840265
mean_prior_absolute_error
0.26111294765840265
mean_prior_absolute_error
0.2602257782682673
mean_prior_absolute_error
0.2602257782682673
number_of_instances
660 [559,101]
number_of_instances
660 [558,102]
number_of_instances
660 [558,102]
number_of_instances
660 [558,102]
number_of_instances
660 [558,102]
number_of_instances
660 [558,102]
number_of_instances
660 [558,102]
number_of_instances
660 [558,102]
number_of_instances
659 [558,101]
number_of_instances
659 [558,101]
precision
0.8714765254977698 [0.848255,1]
precision
0.8726027397260273 [0.849315,1]
precision
0.8736973392461197 [0.85061,1]
precision
0.8736973392461197 [0.85061,1]
precision
0.8726027397260273 [0.849315,1]
precision
0.8736973392461197 [0.85061,1]
precision
0.8715114672561481 [0.848024,1]
precision
0.8770012529583741 [0.854518,1]
precision
0.8746052890685633 [0.851908,1]
precision
0.8757082596650472 [0.853211,1]
predictive_accuracy
0.8484848484848484
predictive_accuracy
0.85
predictive_accuracy
0.8515151515151516
predictive_accuracy
0.8515151515151516
predictive_accuracy
0.85
predictive_accuracy
0.8515151515151516
predictive_accuracy
0.8484848484848484
predictive_accuracy
0.8560606060606061
predictive_accuracy
0.8528072837632777
predictive_accuracy
0.8543247344461306
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
recall
0.8484848484848485 [1,0.009901]
recall
0.85 [1,0.029412]
recall
0.8515151515151516 [1,0.039216]
recall
0.8515151515151516 [1,0.039216]
recall
0.85 [1,0.029412]
recall
0.8515151515151516 [1,0.039216]
recall
0.8484848484848485 [1,0.019608]
recall
0.8560606060606061 [1,0.068627]
recall
0.8528072837632777 [1,0.039604]
recall
0.8543247344461306 [1,0.049505]
relative_absolute_error
0.9717680054811272
relative_absolute_error
0.9636931953784645
relative_absolute_error
0.9635711801657147
relative_absolute_error
0.9548637825177447
relative_absolute_error
0.9735946243482073
relative_absolute_error
0.9586871147506482
relative_absolute_error
0.9663029568647068
relative_absolute_error
0.9528691125866117
relative_absolute_error
0.967044480033195
relative_absolute_error
0.9551614921009667
root_mean_prior_squared_error
0.360018747598774
root_mean_prior_squared_error
0.36147095160214215
root_mean_prior_squared_error
0.36147095160214215
root_mean_prior_squared_error
0.36147095160214215
root_mean_prior_squared_error
0.36147095160214215
root_mean_prior_squared_error
0.36147095160214215
root_mean_prior_squared_error
0.36147095160214215
root_mean_prior_squared_error
0.36147095160214215
root_mean_prior_squared_error
0.3602416958959955
root_mean_prior_squared_error
0.3602416958959955
root_mean_squared_error
0.3549757171359248
root_mean_squared_error
0.35405729500049127
root_mean_squared_error
0.35330242179953664
root_mean_squared_error
0.35170072268940195
root_mean_squared_error
0.35560806740650464
root_mean_squared_error
0.35303714719448437
root_mean_squared_error
0.35545905884091367
root_mean_squared_error
0.34894212181428885
root_mean_squared_error
0.35136170960927665
root_mean_squared_error
0.3481362714926201
root_relative_squared_error
0.985992311521317
root_relative_squared_error
0.9794903115484344
root_relative_squared_error
0.9774019744424821
root_relative_squared_error
0.9729709154513364
root_relative_squared_error
0.9837804831352241
root_relative_squared_error
0.9766680991369383
root_relative_squared_error
0.9833682548083544
root_relative_squared_error
0.9653393177727781
root_relative_squared_error
0.975349920933965
root_relative_squared_error
0.9663963818145297
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
usercpu_time_millis
58276.84996899916
usercpu_time_millis
57655.29623600014
usercpu_time_millis
57731.05688399664
usercpu_time_millis
58300.99925800096
usercpu_time_millis
57662.38966199671
usercpu_time_millis
57053.47442900165
usercpu_time_millis
58184.925878002105
usercpu_time_millis
60701.8875199974
usercpu_time_millis
60023.56053699987
usercpu_time_millis
58366.29362400345
usercpu_time_millis_testing
2275.289573997725
usercpu_time_millis_testing
2458.2795060014178
usercpu_time_millis_testing
2265.3363489989715
usercpu_time_millis_testing
2297.1658940005
usercpu_time_millis_testing
2258.043516998441
usercpu_time_millis_testing
2254.0254189989355
usercpu_time_millis_testing
2365.6217090028804
usercpu_time_millis_testing
2331.678992999514
usercpu_time_millis_testing
2295.0604149991705
usercpu_time_millis_testing
2337.996947000647
usercpu_time_millis_training
56001.560395001434
usercpu_time_millis_training
55197.01672999872
usercpu_time_millis_training
55465.72053499767
usercpu_time_millis_training
56003.83336400046
usercpu_time_millis_training
55404.34614499827
usercpu_time_millis_training
54799.44901000272
usercpu_time_millis_training
55819.304168999224
usercpu_time_millis_training
58370.208526997885
usercpu_time_millis_training
57728.500122000696
usercpu_time_millis_training
56028.2966770028