8982053
1935
Hilde Weerts
3481
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)
6917634
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
16772.032993559045
7650
cache_size
200
7650
class_weight
null
7650
coef0
0.9516884976442906
7650
decision_function_shape
"ovr"
7650
degree
3
7650
gamma
4.378367211142081
7650
kernel
"rbf"
7650
max_iter
-1
7650
probability
false
7650
random_state
1
7650
shrinking
true
7650
tol
0.06408464613826267
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
300
isolet
https://www.openml.org/data/download/52405/phpB0xrNj
-1
18879139
description
https://api.openml.org/data/download/18879139/description.xml
-1
18879140
predictions
https://api.openml.org/data/download/18879140/predictions.arff
area_under_roc_curve
0.5274109643857543 [0.53,0.5166,0.556667,0.563333,0.52,0.5,0.53,0.513333,0.515,0.59,0.573333,0.52,0.501672,0.52,0.51,0.529867,0.52,0.533333,0.553133,0.568267,0.5,0.506667,0.5,0.513333,0.5,0.527878]
average_cost
0
kappa
0.054821944941082834
kb_relative_information_score
625.6199366419892
mean_absolute_error
0.06990854470655054
mean_prior_absolute_error
0.07396449117237175
number_of_instances
7797 [300,300,300,300,300,298,300,300,300,300,300,300,299,300,300,300,300,300,300,300,300,300,300,300,300,300]
predictive_accuracy
0.09118891881492881
prior_entropy
4.700438289429255
recall
0.09118891881492881 [0.06,0.033333,0.113333,0.126667,0.04,0,0.06,0.026667,0.03,0.18,0.146667,0.04,0.003344,0.04,0.02,0.06,0.04,0.066667,0.106667,0.136667,0,0.013333,0,0.026667,0,1]
relative_absolute_error
0.9451635994308545
root_mean_prior_squared_error
0.19230768465256318
root_mean_squared_error
0.2644022403584178
root_relative_squared_error
1.3748917045936349
total_cost
0
area_under_roc_curve
0.5253333333333333 [0.516667,0.5,0.533333,0.55,0.516667,0.5,0.533333,0.533333,0.516667,0.533333,0.533333,0.55,0.5,0.5,0.5,0.566,0.55,0.566667,0.583333,0.55,0.5,0.5,0.5,0.5,0.5,0.526]
area_under_roc_curve
0.5279999999999999 [0.533333,0.516667,0.533333,0.6,0.516667,0.5,0.55,0.5,0.516667,0.616667,0.55,0.533333,0.5,0.516667,0.5,0.55,0.5,0.5,0.583333,0.583333,0.5,0.5,0.5,0.5,0.5,0.528]
area_under_roc_curve
0.5266666666666667 [0.516667,0.55,0.55,0.533333,0.5,0.5,0.566667,0.516667,0.516667,0.566667,0.616667,0.533333,0.5,0.5,0.5,0.533333,0.516667,0.533333,0.516667,0.566667,0.5,0.516667,0.5,0.516667,0.5,0.526667]
area_under_roc_curve
0.524 [0.566667,0.516667,0.55,0.6,0.533333,0.5,0.533333,0.516667,0.516667,0.566667,0.516667,0.5,0.5,0.533333,0.5,0.516667,0.5,0.55,0.55,0.516667,0.5,0.5,0.5,0.516667,0.5,0.524]
area_under_roc_curve
0.534 [0.533333,0.516667,0.55,0.6,0.533333,0.5,0.516667,0.516667,0.55,0.633333,0.633333,0.5,0.5,0.516667,0.5,0.533333,0.55,0.566667,0.533333,0.566667,0.5,0.5,0.5,0.5,0.5,0.534]
area_under_roc_curve
0.5333333333333334 [0.5,0.516667,0.55,0.516667,0.533333,0.5,0.55,0.5,0.5,0.65,0.65,0.516667,0.5,0.55,0.533333,0.516,0.516667,0.55,0.566,0.6,0.5,0.5,0.5,0.516667,0.5,0.534667]
area_under_roc_curve
0.5246666666666667 [0.533333,0.516667,0.566667,0.55,0.516667,0.5,0.516667,0.516667,0.516667,0.6,0.55,0.516667,0.5,0.516667,0.516667,0.5,0.5,0.5,0.55,0.633333,0.5,0.5,0.5,0.5,0.5,0.524667]
area_under_roc_curve
0.5220293724966623 [0.516667,0.533333,0.566667,0.533333,0.516667,0.5,0.516667,0.516667,0.5,0.55,0.55,0.5,0.517241,0.533333,0.516667,0.533333,0.516667,0.533333,0.533333,0.5,0.5,0.516667,0.5,0.55,0.5,0.522029]
area_under_roc_curve
0.5287049399198932 [0.533333,0.499332,0.6,0.583333,0.533333,0.5,0.5,0.516667,0.516667,0.583333,0.6,0.533333,0.5,0.516667,0.516667,0.516667,0.533333,0.5,0.549332,0.55,0.5,0.516667,0.5,0.516667,0.5,0.53004]
area_under_roc_curve
0.5273698264352469 [0.55,0.5,0.566667,0.566667,0.5,0.5,0.516667,0.5,0.5,0.6,0.533333,0.516667,0.5,0.516667,0.516667,0.533333,0.516667,0.533333,0.565999,0.615999,0.5,0.516667,0.5,0.516667,0.5,0.528705]
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
0.05066666666666666
kappa
0.056
kappa
0.05333333333333333
kappa
0.048
kappa
0.068
kappa
0.06666666666666667
kappa
0.04933333333333333
kappa
0.04406038336029835
kappa
0.05740987983978637
kappa
0.054739652870493996
kb_relative_information_score
59.42133491293773
kb_relative_information_score
63.46903594724826
kb_relative_information_score
61.44518543009283
kb_relative_information_score
57.397484395782485
kb_relative_information_score
72.57636327444689
kb_relative_information_score
71.56443801586926
kb_relative_information_score
58.40940965436013
kb_relative_information_score
54.37469104277707
kb_relative_information_score
64.49292224278548
kb_relative_information_score
62.46907172563024
mean_absolute_error
0.07021696252465595
mean_absolute_error
0.06982248520710169
mean_absolute_error
0.07001972386587882
mean_absolute_error
0.07041420118343308
mean_absolute_error
0.06893491124260462
mean_absolute_error
0.06903353057199317
mean_absolute_error
0.07031558185404452
mean_absolute_error
0.07070208353905515
mean_absolute_error
0.06971462427174989
mean_absolute_error
0.06991211612521094
mean_prior_absolute_error
0.07396449704142057
mean_prior_absolute_error
0.07396449704142057
mean_prior_absolute_error
0.07396449704142057
mean_prior_absolute_error
0.07396449704142057
mean_prior_absolute_error
0.07396449704142057
mean_prior_absolute_error
0.07396449704142057
mean_prior_absolute_error
0.07396449704142057
mean_prior_absolute_error
0.07396448587535052
mean_prior_absolute_error
0.07396447325283656
mean_prior_absolute_error
0.07396447325283656
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
predictive_accuracy
0.08717948717948718
predictive_accuracy
0.0923076923076923
predictive_accuracy
0.08974358974358974
predictive_accuracy
0.08461538461538462
predictive_accuracy
0.10384615384615385
predictive_accuracy
0.10256410256410257
predictive_accuracy
0.0858974358974359
predictive_accuracy
0.08087291399229782
predictive_accuracy
0.09370988446726573
predictive_accuracy
0.09114249037227214
prior_entropy
4.700438289429255
prior_entropy
4.700438289429255
prior_entropy
4.700438289429255
prior_entropy
4.700438289429255
prior_entropy
4.700438289429255
prior_entropy
4.700438289429255
prior_entropy
4.700438289429255
prior_entropy
4.700438289429255
prior_entropy
4.700438289429255
prior_entropy
4.700438289429255
recall
0.08717948717948718 [0.033333,0,0.066667,0.1,0.033333,0,0.066667,0.066667,0.033333,0.066667,0.066667,0.1,0,0,0,0.133333,0.1,0.133333,0.166667,0.1,0,0,0,0,0,1]
recall
0.09230769230769231 [0.066667,0.033333,0.066667,0.2,0.033333,0,0.1,0,0.033333,0.233333,0.1,0.066667,0,0.033333,0,0.1,0,0,0.166667,0.166667,0,0,0,0,0,1]
recall
0.08974358974358974 [0.033333,0.1,0.1,0.066667,0,0,0.133333,0.033333,0.033333,0.133333,0.233333,0.066667,0,0,0,0.066667,0.033333,0.066667,0.033333,0.133333,0,0.033333,0,0.033333,0,1]
recall
0.08461538461538462 [0.133333,0.033333,0.1,0.2,0.066667,0,0.066667,0.033333,0.033333,0.133333,0.033333,0,0,0.066667,0,0.033333,0,0.1,0.1,0.033333,0,0,0,0.033333,0,1]
recall
0.10384615384615385 [0.066667,0.033333,0.1,0.2,0.066667,0,0.033333,0.033333,0.1,0.266667,0.266667,0,0,0.033333,0,0.066667,0.1,0.133333,0.066667,0.133333,0,0,0,0,0,1]
recall
0.10256410256410256 [0,0.033333,0.1,0.033333,0.066667,0,0.1,0,0,0.3,0.3,0.033333,0,0.1,0.066667,0.033333,0.033333,0.1,0.133333,0.2,0,0,0,0.033333,0,1]
recall
0.0858974358974359 [0.066667,0.033333,0.133333,0.1,0.033333,0,0.033333,0.033333,0.033333,0.2,0.1,0.033333,0,0.033333,0.033333,0,0,0,0.1,0.266667,0,0,0,0,0,1]
recall
0.08087291399229782 [0.033333,0.066667,0.133333,0.066667,0.033333,0,0.033333,0.033333,0,0.1,0.1,0,0.034483,0.066667,0.033333,0.066667,0.033333,0.066667,0.066667,0,0,0.033333,0,0.1,0,1]
recall
0.09370988446726572 [0.066667,0,0.2,0.166667,0.066667,0,0,0.033333,0.033333,0.166667,0.2,0.066667,0,0.033333,0.033333,0.033333,0.066667,0,0.1,0.1,0,0.033333,0,0.033333,0,1]
recall
0.09114249037227215 [0.1,0,0.133333,0.133333,0,0,0.033333,0,0,0.2,0.066667,0.033333,0,0.033333,0.033333,0.066667,0.033333,0.066667,0.133333,0.233333,0,0.033333,0,0.033333,0,1]
relative_absolute_error
0.9493333333333428
relative_absolute_error
0.9440000000000092
relative_absolute_error
0.946666666666676
relative_absolute_error
0.9520000000000095
relative_absolute_error
0.9320000000000087
relative_absolute_error
0.9333333333333421
relative_absolute_error
0.950666666666676
relative_absolute_error
0.9558923137545581
relative_absolute_error
0.9425420232959789
relative_absolute_error
0.9452121140135312
root_mean_prior_squared_error
0.19230769991209876
root_mean_prior_squared_error
0.19230769991209876
root_mean_prior_squared_error
0.19230769991209876
root_mean_prior_squared_error
0.19230769991209876
root_mean_prior_squared_error
0.19230769991209876
root_mean_prior_squared_error
0.19230769991209876
root_mean_prior_squared_error
0.19230769991209876
root_mean_prior_squared_error
0.19230767088031558
root_mean_prior_squared_error
0.19230763806177284
root_mean_prior_squared_error
0.19230763806177284
root_mean_squared_error
0.2649848345182342
root_mean_squared_error
0.2642394467279662
root_mean_squared_error
0.2646124030839802
root_mean_squared_error
0.26535674324093045
root_mean_squared_error
0.2625545871673253
root_mean_squared_error
0.2627423273322994
root_mean_squared_error
0.26517085408099533
root_mean_squared_error
0.2658986339548497
root_mean_squared_error
0.2640352708858229
root_mean_squared_error
0.264408994032372
root_relative_squared_error
1.3779210850078032
root_relative_squared_error
1.374045068651679
root_relative_squared_error
1.3759844416262632
root_relative_squared_error
1.379855010289351
root_relative_squared_error
1.3652837992827926
root_relative_squared_error
1.366260048102054
root_relative_squared_error
1.3788883866959114
root_relative_squared_error
1.3826730506259113
root_relative_squared_error
1.3729837958958748
root_relative_squared_error
1.374927156806111
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
142296.13511100068
usercpu_time_millis
130775.38679399913
usercpu_time_millis
142485.96354900108
usercpu_time_millis
130827.90231900071
usercpu_time_millis
142470.82478800075
usercpu_time_millis
142533.31074500058
usercpu_time_millis
142653.03230100108
usercpu_time_millis
130752.00151799982
usercpu_time_millis
130622.47430500065
usercpu_time_millis
141512.93062899823
usercpu_time_millis_testing
4382.3672180005815
usercpu_time_millis_testing
4391.5015639995545
usercpu_time_millis_testing
4456.854003001354
usercpu_time_millis_testing
4390.703265000411
usercpu_time_millis_testing
4529.568126999948
usercpu_time_millis_testing
4341.208879999613
usercpu_time_millis_testing
4472.562937000475
usercpu_time_millis_testing
4560.923555000045
usercpu_time_millis_testing
4510.072942999614
usercpu_time_millis_testing
4446.346038999764
usercpu_time_millis_training
137913.7678930001
usercpu_time_millis_training
126383.88522999958
usercpu_time_millis_training
138029.10954599973
usercpu_time_millis_training
126437.1990540003
usercpu_time_millis_training
137941.2566610008
usercpu_time_millis_training
138192.10186500096
usercpu_time_millis_training
138180.4693640006
usercpu_time_millis_training
126191.07796299977
usercpu_time_millis_training
126112.40136200104
usercpu_time_millis_training
137066.58458999847