8905460
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)
6843054
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
5436.843986891607
7650
cache_size
200
7650
class_weight
null
7650
coef0
0.8704276857248127
7650
decision_function_shape
"ovr"
7650
degree
3
7650
gamma
1.588536614107746
7650
kernel
"rbf"
7650
max_iter
-1
7650
probability
false
7650
random_state
1
7650
shrinking
true
7650
tol
0.03031871166856094
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
18726664
description
https://api.openml.org/data/download/18726664/description.xml
-1
18726665
predictions
https://api.openml.org/data/download/18726665/predictions.arff
area_under_roc_curve
0.5133333333333333 [0.5475,0.524722,0.514167,0.503889,0.503056,0.505,0.51,0.505,0.515,0.505]
average_cost
0
f_measure
0.08759091042996696 [0.173516,0.094787,0.17839,0.136519,0.135823,0.019802,0.039216,0.019802,0.058252,0.019802]
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
0.7219871315337782 [1,0.909091,0.104326,0.103627,0.102828,1,1,1,1,1]
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 [0.525,0.547222,0.516667,0.5,0.5,0.5,0.525,0.5,0.525,0.5]
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
3455.6085359999997
usercpu_time_millis
3405.1576720000003
usercpu_time_millis
3520.571436
usercpu_time_millis
3502.2939579999993
usercpu_time_millis
3570.908917999999
usercpu_time_millis
3520.6529730000007
usercpu_time_millis
3463.7252180000005
usercpu_time_millis
3440.0440150000013
usercpu_time_millis
3485.2449009999978
usercpu_time_millis
2932.8917560000036
usercpu_time_millis_testing
59.33617999999985
usercpu_time_millis_testing
52.551044000000324
usercpu_time_millis_testing
52.614836000000054
usercpu_time_millis_testing
58.084476999999524
usercpu_time_millis_testing
52.81955799999949
usercpu_time_millis_testing
59.49509699999922
usercpu_time_millis_testing
51.302825000000496
usercpu_time_millis_testing
51.23835000000199
usercpu_time_millis_testing
52.74233100000103
usercpu_time_millis_testing
51.465974000002745
usercpu_time_millis_training
3396.272356
usercpu_time_millis_training
3352.606628
usercpu_time_millis_training
3467.9566
usercpu_time_millis_training
3444.209481
usercpu_time_millis_training
3518.0893599999995
usercpu_time_millis_training
3461.1578760000016
usercpu_time_millis_training
3412.422393
usercpu_time_millis_training
3388.8056649999994
usercpu_time_millis_training
3432.502569999997
usercpu_time_millis_training
2881.4257820000007