9014510
1935
Hilde Weerts
146802
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)
6949960
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
0.13942352393052554
7650
cache_size
200
7650
class_weight
null
7650
coef0
0.10787729512179689
7650
decision_function_shape
"ovr"
7650
degree
3
7650
gamma
0.00011724315461962722
7650
kernel
"rbf"
7650
max_iter
-1
7650
probability
false
7650
random_state
1
7650
shrinking
false
7650
tol
2.7009042017379554e-05
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
40971
collins
https://www.openml.org/data/download/17953251/php5OMDBD
-1
18943807
description
https://api.openml.org/data/download/18943807/description.xml
-1
18943808
predictions
https://api.openml.org/data/download/18943808/predictions.arff
area_under_roc_curve
0.5081521739130435 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.40788,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.694022,0.5,0.5,0.5,0.5,0.5,0.5]
average_cost
0
kappa
0.016304347826086956
kb_relative_information_score
62.606232776274894
mean_absolute_error
0.06033333333333465
mean_prior_absolute_error
0.06362666666666673
number_of_instances
1000 [44,27,17,17,36,48,75,30,80,29,24,6,29,29,9,44,27,17,17,36,48,75,30,80,29,24,6,29,29,9]
predictive_accuracy
0.095
prior_entropy
4.664224865324832
recall
0.095 [0,0,0,0,0,0,0,0,0.5375,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.65,0,0,0,0,0,0]
relative_absolute_error
0.9482397317686702
root_mean_prior_squared_error
0.17832953750912986
root_mean_squared_error
0.24562844569254322
root_relative_squared_error
1.3773850878740033
total_cost
0
area_under_roc_curve
0.5217391304347827 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.557065,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.714674,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5054347826086957 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.404891,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.663043,0.5,0.5,0.0,0.5,0.5,0.5]
area_under_roc_curve
0.5163043478260869 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.442935,0.5,0.5,0.5,0.5,0.5,0.0,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.76087,0.5,0.5,0.0,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.434783,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.565217,0.5,0.5,0.0,0.5,0.5,0.5]
area_under_roc_curve
0.5054347826086957 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.293478,0.5,0.5,0.0,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.774457,0.5,0.5,0.0,0.5,0.5,0.0]
area_under_roc_curve
0.5108695652173914 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.470109,0.5,0.5,0.0,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.665761,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.48913043478260876 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.30163,0.5,0.5,0.0,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5625,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5163043478260869 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.494565,0.5,0.5,0.0,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.709239,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5108695652173914 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.293478,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.842391,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5054347826086957 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.38587,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.682065,0.5,0.5,0.5,0.5,0.5,0.5]
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
0.04347826086956521
kappa
0.010869565217391299
kappa
0.03260869565217391
kappa
0
kappa
0.010869565217391299
kappa
0.02173913043478261
kappa
-0.02173913043478261
kappa
0.03260869565217391
kappa
0.02173913043478261
kappa
0.010869565217391299
kb_relative_information_score
8.284598204322585
kb_relative_information_score
5.854035393515321
kb_relative_information_score
7.457083737775799
kb_relative_information_score
5.049544938505996
kb_relative_information_score
5.849180626646593
kb_relative_information_score
6.672666387092182
kb_relative_information_score
3.426446124132636
kb_relative_information_score
7.491996250254727
kb_relative_information_score
6.667361814672616
kb_relative_information_score
5.8533192993564676
mean_absolute_error
0.05866666666666665
mean_absolute_error
0.06066666666666665
mean_absolute_error
0.05933333333333332
mean_absolute_error
0.06133333333333331
mean_absolute_error
0.06066666666666665
mean_absolute_error
0.059999999999999984
mean_absolute_error
0.06266666666666663
mean_absolute_error
0.05933333333333332
mean_absolute_error
0.059999999999999984
mean_absolute_error
0.06066666666666665
mean_prior_absolute_error
0.06361488673139154
mean_prior_absolute_error
0.06362524271844655
mean_prior_absolute_error
0.06358252427184462
mean_prior_absolute_error
0.06364077669902908
mean_prior_absolute_error
0.06361488673139153
mean_prior_absolute_error
0.0636394822006472
mean_prior_absolute_error
0.06364207119741096
mean_prior_absolute_error
0.06365436893203878
mean_prior_absolute_error
0.06362847896440124
mean_prior_absolute_error
0.06362394822006467
number_of_instances
100 [5,3,1,1,4,5,7,3,8,2,2,1,3,3,1,4,3,2,1,4,5,8,3,8,3,2,1,3,3,1]
number_of_instances
100 [4,3,2,1,3,5,7,3,8,3,3,1,3,3,1,4,3,2,1,4,5,8,3,8,3,2,0,3,3,1]
number_of_instances
100 [4,3,2,1,3,5,8,3,8,3,3,1,3,3,0,4,3,2,1,4,5,8,3,8,3,2,0,3,3,1]
number_of_instances
100 [4,3,2,2,3,5,8,3,8,3,3,1,2,3,1,4,3,2,2,4,5,7,3,8,2,2,0,3,3,1]
number_of_instances
100 [4,2,2,2,3,5,8,3,8,3,3,0,3,3,1,4,3,2,2,4,5,7,3,8,3,3,0,3,3,0]
number_of_instances
100 [4,2,2,2,4,5,8,3,8,3,2,0,3,3,1,4,3,2,2,3,5,7,3,8,3,3,1,2,3,1]
number_of_instances
100 [4,2,2,2,4,4,8,3,8,3,2,0,3,3,1,5,3,2,2,3,5,7,3,8,3,3,1,3,2,1]
number_of_instances
100 [5,3,2,2,4,4,7,3,8,3,2,0,3,3,1,5,2,1,2,3,5,7,3,8,3,3,1,3,3,1]
number_of_instances
100 [5,3,1,2,4,5,7,3,8,3,2,1,3,3,1,5,2,1,2,3,4,8,3,8,3,2,1,3,3,1]
number_of_instances
100 [5,3,1,2,4,5,7,3,8,3,2,1,3,2,1,5,2,1,2,4,4,8,3,8,3,2,1,3,3,1]
predictive_accuracy
0.12
predictive_accuracy
0.09
predictive_accuracy
0.11
predictive_accuracy
0.08
predictive_accuracy
0.09
predictive_accuracy
0.1
predictive_accuracy
0.06
predictive_accuracy
0.11
predictive_accuracy
0.1
predictive_accuracy
0.09
prior_entropy
4.664224865324832
prior_entropy
4.664224865324832
prior_entropy
4.664224865324832
prior_entropy
4.664224865324832
prior_entropy
4.664224865324832
prior_entropy
4.664224865324832
prior_entropy
4.664224865324832
prior_entropy
4.664224865324832
prior_entropy
4.664224865324832
prior_entropy
4.664224865324832
recall
0.12 [0,0,0,0,0,0,0,0,0.875,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.625,0,0,0,0,0,0]
recall
0.09 [0,0,0,0,0,0,0,0,0.625,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0.0,0,0,0]
recall
0.11 [0,0,0,0,0,0,0,0,0.625,0,0,0,0,0,0.0,0,0,0,0,0,0,0,0,0.75,0,0,0.0,0,0,0]
recall
0.08 [0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0.0,0,0,0]
recall
0.09 [0,0,0,0,0,0,0,0,0.25,0,0,0.0,0,0,0,0,0,0,0,0,0,0,0,0.875,0,0,0.0,0,0,0.0]
recall
0.1 [0,0,0,0,0,0,0,0,0.625,0,0,0.0,0,0,0,0,0,0,0,0,0,0,0,0.625,0,0,0,0,0,0]
recall
0.06 [0,0,0,0,0,0,0,0,0.375,0,0,0.0,0,0,0,0,0,0,0,0,0,0,0,0.375,0,0,0,0,0,0]
recall
0.11 [0,0,0,0,0,0,0,0,0.75,0,0,0.0,0,0,0,0,0,0,0,0,0,0,0,0.625,0,0,0,0,0,0]
recall
0.1 [0,0,0,0,0,0,0,0,0.25,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0]
recall
0.09 [0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.625,0,0,0,0,0,0]
relative_absolute_error
0.9222160044767772
relative_absolute_error
0.9534999643950728
relative_absolute_error
0.9331704585941878
relative_absolute_error
0.9637426900584799
relative_absolute_error
0.9536551864475765
relative_absolute_error
0.942810939454655
relative_absolute_error
0.9846735891464198
relative_absolute_error
0.9321172187989348
relative_absolute_error
0.9429739792077803
relative_absolute_error
0.9535193643882445
root_mean_prior_squared_error
0.17829650589101573
root_mean_prior_squared_error
0.17832554500127015
root_mean_prior_squared_error
0.1782057281722394
root_mean_prior_squared_error
0.1783690948022738
root_mean_prior_squared_error
0.17829650589101576
root_mean_prior_squared_error
0.17836546605831713
root_mean_prior_squared_error
0.17837272347240885
root_mean_prior_squared_error
0.17840719215769374
root_mean_prior_squared_error
0.17833461875349585
root_mean_prior_squared_error
0.17832191537110112
root_mean_squared_error
0.2422120283277993
root_mean_squared_error
0.24630604269214884
root_mean_squared_error
0.2435843454192681
root_mean_squared_error
0.24765567494675608
root_mean_squared_error
0.24630604269214884
root_mean_squared_error
0.24494897427831777
root_mean_squared_error
0.25033311140691444
root_mean_squared_error
0.2435843454192681
root_mean_squared_error
0.24494897427831777
root_mean_squared_error
0.24630604269214884
root_relative_squared_error
1.3584788278232
root_relative_squared_error
1.3812157012636328
root_relative_squared_error
1.3668715810517549
root_relative_squared_error
1.38844498382014
root_relative_squared_error
1.3814406595421682
root_relative_squared_error
1.3732982044754727
root_relative_squared_error
1.4034270853392932
root_relative_squared_error
1.3653280592183998
root_relative_squared_error
1.3735357497632024
root_relative_squared_error
1.381243815038481
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
245.63960899999415
usercpu_time_millis
199.56672299999667
usercpu_time_millis
238.40434600000293
usercpu_time_millis
198.47493299999996
usercpu_time_millis
236.81570300000487
usercpu_time_millis
230.68925799999818
usercpu_time_millis
230.9366550000007
usercpu_time_millis
232.24645199999827
usercpu_time_millis
242.74515299999422
usercpu_time_millis
232.7942020000009
usercpu_time_millis_testing
7.911231999997881
usercpu_time_millis_testing
9.471612999995216
usercpu_time_millis_testing
9.23702200000065
usercpu_time_millis_testing
9.39962300000019
usercpu_time_millis_testing
9.395265000001984
usercpu_time_millis_testing
9.096128999999564
usercpu_time_millis_testing
9.100644999996632
usercpu_time_millis_testing
13.018137999999624
usercpu_time_millis_testing
8.10673399999473
usercpu_time_millis_testing
9.04589499999986
usercpu_time_millis_training
237.72837699999627
usercpu_time_millis_training
190.09511000000145
usercpu_time_millis_training
229.16732400000228
usercpu_time_millis_training
189.07530999999977
usercpu_time_millis_training
227.4204380000029
usercpu_time_millis_training
221.5931289999986
usercpu_time_millis_training
221.83601000000408
usercpu_time_millis_training
219.22831399999865
usercpu_time_millis_training
234.6384189999995
usercpu_time_millis_training
223.74830700000103