8905988
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)
6843516
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
6030.732278089944
7650
cache_size
200
7650
class_weight
null
7650
coef0
0.8779058737906714
7650
decision_function_shape
"ovr"
7650
degree
3
7650
gamma
1.743885994931162
7650
kernel
"rbf"
7650
max_iter
-1
7650
probability
false
7650
random_state
1
7650
shrinking
false
7650
tol
0.03248055901444239
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
18727712
description
https://api.openml.org/data/download/18727712/description.xml
-1
18727713
predictions
https://api.openml.org/data/download/18727713/predictions.arff
area_under_roc_curve
0.5133333333333333 [0.5475,0.525,0.513889,0.503889,0.503056,0.505,0.51,0.505,0.515,0.505]
average_cost
0
f_measure
0.08762312014641614 [0.173516,0.095238,0.178261,0.136519,0.135823,0.019802,0.039216,0.019802,0.058252,0.019802]
kappa
0.026666666666666658
kb_relative_information_score
167.8328765376991
mean_absolute_error
0.17519999999999433
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7310691994636918 [1,1,0.104237,0.103627,0.102828,1,1,1,1,1]
predictive_accuracy
0.124
prior_entropy
3.321928094887362
recall
0.124 [0.095,0.05,0.615,0.2,0.2,0.01,0.02,0.01,0.03,0.01]
relative_absolute_error
0.9733333333332719
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.41856899072912024
root_relative_squared_error
1.395229969097046
total_cost
0
area_under_roc_curve
0.5138888888888888 [0.525,0.55,0.513889,0.5,0.5,0.5,0.525,0.5,0.525,0.5]
area_under_roc_curve
0.5111111111111112 [0.525,0.5,0.511111,0.5,0.5,0.5,0.525,0.525,0.525,0.5]
area_under_roc_curve
0.5055555555555555 [0.5,0.55,0.505556,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5194444444444444 [0.6,0.5,0.5,0.5,0.519444,0.525,0.5,0.525,0.5,0.525]
area_under_roc_curve
0.5166666666666667 [0.55,0.55,0.5,0.516667,0.5,0.525,0.5,0.5,0.525,0.5]
area_under_roc_curve
0.5111111111111112 [0.55,0.525,0.525,0.5,0.511111,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5166666666666667 [0.55,0.55,0.516667,0.5,0.5,0.5,0.5,0.5,0.525,0.525]
area_under_roc_curve
0.5055555555555555 [0.5,0.525,0.505556,0.5,0.5,0.5,0.525,0.5,0.5,0.5]
area_under_roc_curve
0.5222222222222223 [0.6,0.5,0.55,0.522222,0.5,0.5,0.5,0.5,0.55,0.5]
area_under_roc_curve
0.5111111111111112 [0.575,0.5,0.511111,0.5,0.5,0.5,0.525,0.5,0.5,0.5]
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
0.02777777777777777
kappa
0.02222222222222221
kappa
0.011111111111111105
kappa
0.03888888888888889
kappa
0.03333333333333333
kappa
0.02222222222222221
kappa
0.03333333333333333
kappa
0.011111111111111105
kappa
0.04444444444444445
kappa
0.02222222222222221
kb_relative_information_score
16.992439151881868
kb_relative_information_score
15.946681661321048
kb_relative_information_score
13.855166680199778
kb_relative_information_score
19.08395413300327
kb_relative_information_score
18.03819664244259
kb_relative_information_score
15.946681661321117
kb_relative_information_score
18.038196642442664
kb_relative_information_score
13.855166680199721
kb_relative_information_score
20.129711623564006
kb_relative_information_score
15.946681661321117
mean_absolute_error
0.1749999999999998
mean_absolute_error
0.1759999999999998
mean_absolute_error
0.17799999999999983
mean_absolute_error
0.17299999999999977
mean_absolute_error
0.17399999999999977
mean_absolute_error
0.1759999999999998
mean_absolute_error
0.17399999999999977
mean_absolute_error
0.17799999999999983
mean_absolute_error
0.17199999999999974
mean_absolute_error
0.1759999999999998
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
0.125
predictive_accuracy
0.12
predictive_accuracy
0.11
predictive_accuracy
0.135
predictive_accuracy
0.13
predictive_accuracy
0.12
predictive_accuracy
0.13
predictive_accuracy
0.11
predictive_accuracy
0.14
predictive_accuracy
0.12
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
0.125 [0.05,0.1,1,0,0,0,0.05,0,0.05,0]
recall
0.12 [0.05,0,1,0,0,0,0.05,0.05,0.05,0]
recall
0.11 [0,0.1,1,0,0,0,0,0,0,0]
recall
0.135 [0.2,0,0,0,1,0.05,0,0.05,0,0.05]
recall
0.13 [0.1,0.1,0,1,0,0.05,0,0,0.05,0]
recall
0.12 [0.1,0.05,0.05,0,1,0,0,0,0,0]
recall
0.13 [0.1,0.1,1,0,0,0,0,0,0.05,0.05]
recall
0.11 [0,0.05,1,0,0,0,0.05,0,0,0]
recall
0.14 [0.2,0,0.1,1,0,0,0,0,0.1,0]
recall
0.12 [0.15,0,1,0,0,0,0.05,0,0,0]
relative_absolute_error
0.9722222222222221
relative_absolute_error
0.9777777777777777
relative_absolute_error
0.988888888888889
relative_absolute_error
0.9611111111111108
relative_absolute_error
0.9666666666666665
relative_absolute_error
0.9777777777777777
relative_absolute_error
0.9666666666666665
relative_absolute_error
0.988888888888889
relative_absolute_error
0.9555555555555552
relative_absolute_error
0.9777777777777777
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
0.4183300132670375
root_mean_squared_error
0.41952353926806035
root_mean_squared_error
0.4219004621945795
root_mean_squared_error
0.41593268686170815
root_mean_squared_error
0.4171330722922839
root_mean_squared_error
0.41952353926806035
root_mean_squared_error
0.4171330722922839
root_mean_squared_error
0.4219004621945795
root_mean_squared_error
0.4147288270665541
root_mean_squared_error
0.41952353926806035
root_relative_squared_error
1.3944333775567928
root_relative_squared_error
1.3984117975602017
root_relative_squared_error
1.4063348739819324
root_relative_squared_error
1.386442289539028
root_relative_squared_error
1.3904435743076138
root_relative_squared_error
1.3984117975602017
root_relative_squared_error
1.3904435743076138
root_relative_squared_error
1.4063348739819324
root_relative_squared_error
1.3824294235551813
root_relative_squared_error
1.3984117975602017
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
2901.311127000099
usercpu_time_millis
3076.1889229997905
usercpu_time_millis
3451.5959050004312
usercpu_time_millis
3524.365819000195
usercpu_time_millis
3663.328230999923
usercpu_time_millis
3290.3259859999707
usercpu_time_millis
3556.8230160001804
usercpu_time_millis
3648.2261569999537
usercpu_time_millis
3591.359053999895
usercpu_time_millis
3674.674182999752
usercpu_time_millis_testing
45.376379000117595
usercpu_time_millis_testing
52.70173999997496
usercpu_time_millis_testing
54.146409000168205
usercpu_time_millis_testing
53.26632200012682
usercpu_time_millis_testing
55.168677999972715
usercpu_time_millis_testing
51.303519000157394
usercpu_time_millis_testing
53.14821799993297
usercpu_time_millis_testing
53.79247300015777
usercpu_time_millis_testing
53.02913500008799
usercpu_time_millis_testing
52.16915599976346
usercpu_time_millis_training
2855.9347479999815
usercpu_time_millis_training
3023.4871829998156
usercpu_time_millis_training
3397.449496000263
usercpu_time_millis_training
3471.0994970000684
usercpu_time_millis_training
3608.1595529999504
usercpu_time_millis_training
3239.0224669998133
usercpu_time_millis_training
3503.6747980002474
usercpu_time_millis_training
3594.433683999796
usercpu_time_millis_training
3538.329918999807
usercpu_time_millis_training
3622.5050269999883