7350821
1
Jan van Rijn
59
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)
5382716
axis
0
6947
categorical_features
[]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"most_frequent"
6947
strategy_nominal
"most_frequent"
6947
verbose
0
6947
categorical_features
[]
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
46.52760261165423
6953
cache_size
200
6953
class_weight
null
6953
coef0
-0.7660764238356021
6953
decision_function_shape
null
6953
degree
1
6953
gamma
0.027594824112458047
6953
kernel
"sigmoid"
6953
max_iter
-1
6953
probability
true
6953
random_state
56373
6953
shrinking
false
6953
tol
0.00022970492889104927
6953
verbose
false
6953
openml-pimp
openml-python
Sklearn_0.18.1.
61
iris
https://www.openml.org/data/download/61/dataset_61_iris.arff
-1
15629263
description
https://api.openml.org/data/download/15629263/description.xml
-1
15629264
predictions
https://api.openml.org/data/download/15629264/predictions.arff
area_under_roc_curve
0.8978666666666667 [0.9132,0.8996,0.8808]
average_cost
0
f_measure
0.6868491639133841 [0.803419,0.770642,0.486486]
kappa
0.5700000000000001
kb_relative_information_score
68.3288449498543
mean_absolute_error
0.28072614180231603
mean_prior_absolute_error
0.44444444444444337
number_of_instances
150 [50,50,50]
precision
0.7211189813643646 [0.701493,0.711864,0.75]
predictive_accuracy
0.7133333333333333
prior_entropy
1.584962500721156
recall
0.7133333333333334 [0.94,0.84,0.36]
relative_absolute_error
0.6316338190552127
root_mean_prior_squared_error
0.4714045207910311
root_mean_squared_error
0.3613125494194533
root_relative_squared_error
0.7664596614668859
total_cost
0
area_under_roc_curve
0.9333333333333333 [0.9,0.98,0.92]
area_under_roc_curve
0.9133333333333334 [1,0.86,0.88]
area_under_roc_curve
0.88 [0.74,1,0.9]
area_under_roc_curve
0.9133333333333333 [0.86,0.94,0.94]
area_under_roc_curve
0.9 [1,0.78,0.92]
area_under_roc_curve
0.7733333333333334 [0.88,0.7,0.74]
area_under_roc_curve
0.9400000000000001 [0.9,0.96,0.96]
area_under_roc_curve
0.8733333333333333 [0.98,0.82,0.82]
area_under_roc_curve
0.94 [0.96,0.96,0.9]
area_under_roc_curve
0.9000000000000001 [0.9,0.92,0.88]
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
0.7106782106782106 [0.727273,0.833333,0.571429]
f_measure
0.6511784511784512 [0.909091,0.6,0.444444]
f_measure
0.7193732193732194 [0.769231,0.888889,0.5]
f_measure
0.722222222222222 [0.833333,0.666667,0.666667]
f_measure
0.5909090909090909 [0.727273,0.545455,0.5]
f_measure
0.7712842712842712 [0.833333,0.909091,0.571429]
f_measure
0.712121212121212 [0.909091,0.727273,0.5]
f_measure
0.7135531135531136 [0.8,0.769231,0.571429]
f_measure
0.6705516705516705 [0.909091,0.769231,0.333333]
kappa
0.5999999999999999
kappa
0.49999999999999994
kappa
0.49999999999999994
kappa
0.5999999999999999
kappa
0.5999999999999999
kappa
0.39999999999999997
kappa
0.7000000000000001
kappa
0.5999999999999999
kappa
0.5999999999999999
kappa
0.5999999999999999
kb_relative_information_score
7.594495470232146
kb_relative_information_score
6.070236853359001
kb_relative_information_score
6.474452146173004
kb_relative_information_score
7.516652776530265
kb_relative_information_score
6.4821404554995965
kb_relative_information_score
5.38790556309672
kb_relative_information_score
7.930852906661998
kb_relative_information_score
6.969408512702296
kb_relative_information_score
7.155596034925488
kb_relative_information_score
6.747104230673806
mean_absolute_error
0.2594216514999987
mean_absolute_error
0.30047599081434023
mean_absolute_error
0.287500042173298
mean_absolute_error
0.2553864265821561
mean_absolute_error
0.2970618217675924
mean_absolute_error
0.3240190120019889
mean_absolute_error
0.24896170263585132
mean_absolute_error
0.2804670640107835
mean_absolute_error
0.272407075742986
mean_absolute_error
0.2815606307941646
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
mean_prior_absolute_error
0.4444444444444446
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
number_of_instances
15 [5,5,5]
precision
0.7936507936507937 [0.666667,0.714286,1]
precision
0.6444444444444445 [0.833333,0.6,0.5]
precision
0.7638888888888888 [0.625,1,0.666667]
precision
0.738095238095238 [0.714286,0.75,0.75]
precision
0.611111111111111 [0.666667,0.5,0.666667]
precision
0.8492063492063493 [0.714286,0.833333,1]
precision
0.7222222222222221 [0.833333,0.666667,0.666667]
precision
0.8083333333333333 [0.8,0.625,1]
precision
0.8194444444444445 [0.833333,0.625,1]
predictive_accuracy
0.7333333333333333
predictive_accuracy
0.6666666666666667
predictive_accuracy
0.6666666666666667
predictive_accuracy
0.7333333333333333
predictive_accuracy
0.7333333333333333
predictive_accuracy
0.6
predictive_accuracy
0.8
predictive_accuracy
0.7333333333333333
predictive_accuracy
0.7333333333333333
predictive_accuracy
0.7333333333333333
prior_entropy
1.584962500721156
prior_entropy
1.584962500721156
prior_entropy
1.584962500721156
prior_entropy
1.584962500721156
prior_entropy
1.584962500721156
prior_entropy
1.584962500721156
prior_entropy
1.584962500721156
prior_entropy
1.584962500721156
prior_entropy
1.584962500721156
prior_entropy
1.584962500721156
recall
0.7333333333333333 [0.8,1,0.4]
recall
0.6666666666666666 [1,0.6,0.4]
recall
0.6666666666666666 [1,1,0]
recall
0.7333333333333333 [1,0.8,0.4]
recall
0.7333333333333333 [1,0.6,0.6]
recall
0.6 [0.8,0.6,0.4]
recall
0.8 [1,1,0.4]
recall
0.7333333333333333 [1,0.8,0.4]
recall
0.7333333333333333 [0.8,1,0.4]
recall
0.7333333333333333 [1,1,0.2]
relative_absolute_error
0.5836987158749969
relative_absolute_error
0.6760709793322652
relative_absolute_error
0.6468750948899202
relative_absolute_error
0.5746194598098511
relative_absolute_error
0.6683890989770827
relative_absolute_error
0.7290427770044748
relative_absolute_error
0.5601638309306654
relative_absolute_error
0.6310508940242626
relative_absolute_error
0.6129159204217183
relative_absolute_error
0.6335114192868702
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_prior_squared_error
0.47140452079103173
root_mean_squared_error
0.33836245776916746
root_mean_squared_error
0.3678332367825641
root_mean_squared_error
0.37579030511202455
root_mean_squared_error
0.34142042165062525
root_mean_squared_error
0.36063314304964256
root_mean_squared_error
0.4059685446669019
root_mean_squared_error
0.32613475665177083
root_mean_squared_error
0.3738749588206027
root_mean_squared_error
0.35318991179081044
root_mean_squared_error
0.36350334494884085
root_relative_squared_error
0.7177751651625753
root_relative_squared_error
0.7802921282242441
root_relative_squared_error
0.7971716191466227
root_relative_squared_error
0.7242620861541823
root_relative_squared_error
0.7650184229130614
root_relative_squared_error
0.8611893326472003
root_relative_squared_error
0.6918362940272749
root_relative_squared_error
0.7931085560936679
root_relative_squared_error
0.7492289450218819
root_relative_squared_error
0.7711070405919542
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
15.53615500597516
usercpu_time_millis
14.106082999205682
usercpu_time_millis
12.455905991373584
usercpu_time_millis
11.579803998756688
usercpu_time_millis
11.065443999541458
usercpu_time_millis
10.541913004999515
usercpu_time_millis
9.994558000471443
usercpu_time_millis
10.208017003606074
usercpu_time_millis
10.270508995745331
usercpu_time_millis
10.233732005872298
usercpu_time_millis_testing
1.4960250045987777
usercpu_time_millis_testing
1.3192340047680773
usercpu_time_millis_testing
1.2291859966353513
usercpu_time_millis_testing
1.1498219973873347
usercpu_time_millis_testing
1.0564530020928942
usercpu_time_millis_testing
1.018522001686506
usercpu_time_millis_testing
0.9945880010491237
usercpu_time_millis_testing
1.0105440014740452
usercpu_time_millis_testing
1.004460995318368
usercpu_time_millis_testing
1.0160240053664893
usercpu_time_millis_training
14.040130001376383
usercpu_time_millis_training
12.786848994437605
usercpu_time_millis_training
11.226719994738232
usercpu_time_millis_training
10.429982001369353
usercpu_time_millis_training
10.008990997448564
usercpu_time_millis_training
9.523391003313009
usercpu_time_millis_training
8.99996999942232
usercpu_time_millis_training
9.197473002132028
usercpu_time_millis_training
9.266048000426963
usercpu_time_millis_training
9.217708000505809