8906008
1935
Hilde Weerts
14
Supervised Classification
8317
sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklearn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.svm.classes.SVC)(1)
6843536
categorical_features
[]
7644
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
7644
handle_unknown
"ignore"
7644
n_values
"auto"
7644
sparse
true
7644
threshold
0.0
7645
copy
true
7646
with_mean
false
7646
with_std
true
7646
C
2453.0396203072887
7650
cache_size
200
7650
class_weight
null
7650
coef0
0.8130177410228502
7650
decision_function_shape
"ovr"
7650
degree
3
7650
gamma
0.776102624430471
7650
kernel
"rbf"
7650
max_iter
-1
7650
probability
false
7650
random_state
1
7650
shrinking
false
7650
tol
0.017867795123071354
7650
verbose
false
7650
axis
0
8316
categorical_features
[]
8316
copy
true
8316
fill_empty
0
8316
missing_values
"NaN"
8316
strategy
"mean"
8316
strategy_nominal
"most_frequent"
8316
verbose
0
8316
memory
null
8317
openml-python
Sklearn_0.19.1.
study_98
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
18727752
description
https://api.openml.org/data/download/18727752/description.xml
-1
18727753
predictions
https://api.openml.org/data/download/18727753/predictions.arff
area_under_roc_curve
0.5288888888888889 [0.6275,0.544444,0.529444,0.506389,0.508889,0.51,0.51,0.5125,0.5325,0.507222]
average_cost
0
f_measure
0.13152288155029718 [0.406375,0.163636,0.186012,0.138648,0.141869,0.039216,0.039216,0.04878,0.122066,0.029412]
kappa
0.05777777777777777
kb_relative_information_score
226.39529600909583
mean_absolute_error
0.16959999999999464
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.6973832138487311 [1,0.9,0.109266,0.106101,0.108466,1,1,1,1,0.75]
predictive_accuracy
0.152
prior_entropy
3.321928094887362
recall
0.152 [0.255,0.09,0.625,0.2,0.205,0.02,0.02,0.025,0.065,0.015]
relative_absolute_error
0.9422222222221635
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.4118252056394735
root_relative_squared_error
1.3727506854648905
total_cost
0
area_under_roc_curve
0.5277777777777778 [0.6,0.547222,0.530556,0.5,0.5,0.525,0.525,0.5,0.55,0.5]
area_under_roc_curve
0.525 [0.6,0.525,0.525,0.5,0.5,0.5,0.525,0.55,0.525,0.5]
area_under_roc_curve
0.5222222222222223 [0.575,0.597222,0.525,0.5,0.5,0.525,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5305555555555554 [0.65,0.525,0.525,0.5,0.533333,0.525,0.5,0.525,0.5,0.522222]
area_under_roc_curve
0.5277777777777778 [0.575,0.575,0.5,0.527778,0.5,0.525,0.5,0.5,0.575,0.5]
area_under_roc_curve
0.5305555555555556 [0.675,0.55,0.55,0.5,0.530556,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5305555555555556 [0.625,0.55,0.530556,0.5,0.5,0.5,0.5,0.525,0.525,0.55]
area_under_roc_curve
0.5305555555555556 [0.65,0.525,0.530556,0.5,0.525,0.5,0.525,0.525,0.525,0.5]
area_under_roc_curve
0.5361111111111111 [0.65,0.55,0.55,0.536111,0.5,0.5,0.5,0.5,0.575,0.5]
area_under_roc_curve
0.5277777777777778 [0.675,0.5,0.527778,0.5,0.5,0.5,0.525,0.5,0.55,0.5]
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
kappa
0.05555555555555554
kappa
0.04999999999999998
kappa
0.04444444444444445
kappa
0.0611111111111111
kappa
0.05555555555555554
kappa
0.0611111111111111
kappa
0.0611111111111111
kappa
0.0611111111111111
kappa
0.07222222222222223
kappa
0.05555555555555554
kb_relative_information_score
22.22122660468545
kb_relative_information_score
21.175469114124752
kb_relative_information_score
20.129711623564102
kb_relative_information_score
23.266984095245988
kb_relative_information_score
22.221226604685356
kb_relative_information_score
23.266984095246
kb_relative_information_score
23.2669840952461
kb_relative_information_score
23.2669840952461
kb_relative_information_score
25.358499076367398
kb_relative_information_score
22.2212266046854
mean_absolute_error
0.1699999999999997
mean_absolute_error
0.17099999999999974
mean_absolute_error
0.17199999999999974
mean_absolute_error
0.1689999999999997
mean_absolute_error
0.1699999999999997
mean_absolute_error
0.1689999999999997
mean_absolute_error
0.1689999999999997
mean_absolute_error
0.1689999999999997
mean_absolute_error
0.16699999999999968
mean_absolute_error
0.1699999999999997
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
predictive_accuracy
0.15
predictive_accuracy
0.145
predictive_accuracy
0.14
predictive_accuracy
0.155
predictive_accuracy
0.15
predictive_accuracy
0.155
predictive_accuracy
0.155
predictive_accuracy
0.155
predictive_accuracy
0.165
predictive_accuracy
0.15
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
recall
0.15 [0.2,0.1,1,0,0,0.05,0.05,0,0.1,0]
recall
0.145 [0.2,0.05,1,0,0,0,0.05,0.1,0.05,0]
recall
0.14 [0.15,0.2,1,0,0,0.05,0,0,0,0]
recall
0.155 [0.3,0.05,0.05,0,1,0.05,0,0.05,0,0.05]
recall
0.15 [0.15,0.15,0,1,0,0.05,0,0,0.15,0]
recall
0.155 [0.35,0.1,0.1,0,1,0,0,0,0,0]
recall
0.155 [0.25,0.1,1,0,0,0,0,0.05,0.05,0.1]
recall
0.155 [0.3,0.05,1,0,0.05,0,0.05,0.05,0.05,0]
recall
0.165 [0.3,0.1,0.1,1,0,0,0,0,0.15,0]
recall
0.15 [0.35,0,1,0,0,0,0.05,0,0.1,0]
relative_absolute_error
0.9444444444444439
relative_absolute_error
0.9499999999999996
relative_absolute_error
0.9555555555555552
relative_absolute_error
0.9388888888888883
relative_absolute_error
0.9444444444444439
relative_absolute_error
0.9388888888888883
relative_absolute_error
0.9388888888888883
relative_absolute_error
0.9388888888888883
relative_absolute_error
0.927777777777777
relative_absolute_error
0.9444444444444439
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_squared_error
0.4123105625617657
root_mean_squared_error
0.41352146256270633
root_mean_squared_error
0.4147288270665541
root_mean_squared_error
0.41109609582188894
root_mean_squared_error
0.4123105625617657
root_mean_squared_error
0.41109609582188894
root_mean_squared_error
0.41109609582188894
root_mean_squared_error
0.41109609582188894
root_mean_squared_error
0.4086563348340506
root_mean_squared_error
0.4123105625617657
root_relative_squared_error
1.374368541872553
root_relative_squared_error
1.378404875209022
root_relative_squared_error
1.3824294235551813
root_relative_squared_error
1.3703203194062974
root_relative_squared_error
1.374368541872553
root_relative_squared_error
1.3703203194062974
root_relative_squared_error
1.3703203194062974
root_relative_squared_error
1.3703203194062974
root_relative_squared_error
1.3621877827801696
root_relative_squared_error
1.374368541872553
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
2764.6475510000528
usercpu_time_millis
2786.6471390002516
usercpu_time_millis
2935.0425060001726
usercpu_time_millis
3496.3445869998395
usercpu_time_millis
3703.27295900006
usercpu_time_millis
3617.1603190000496
usercpu_time_millis
3603.7646899999345
usercpu_time_millis
3659.2734670002756
usercpu_time_millis
3608.039268999619
usercpu_time_millis
3509.507321000001
usercpu_time_millis_testing
43.937670000104845
usercpu_time_millis_testing
44.04498300027626
usercpu_time_millis_testing
46.665709000080824
usercpu_time_millis_testing
54.160194999894884
usercpu_time_millis_testing
58.52099399999133
usercpu_time_millis_testing
53.99897100005546
usercpu_time_millis_testing
52.867805999994744
usercpu_time_millis_testing
58.8063410000359
usercpu_time_millis_testing
52.71882299985009
usercpu_time_millis_testing
53.71804100013833
usercpu_time_millis_training
2720.709880999948
usercpu_time_millis_training
2742.6021559999754
usercpu_time_millis_training
2888.3767970000918
usercpu_time_millis_training
3442.1843919999446
usercpu_time_millis_training
3644.7519650000686
usercpu_time_millis_training
3563.161347999994
usercpu_time_millis_training
3550.8968839999397
usercpu_time_millis_training
3600.4671260002397
usercpu_time_millis_training
3555.3204459997687
usercpu_time_millis_training
3455.7892799998626