8752190
1
Jan van Rijn
3481
Supervised Classification
7707
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklearn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1)
6728348
axis
0
7660
categorical_features
[]
7660
copy
true
7660
fill_empty
0
7660
missing_values
"NaN"
7660
strategy
"most_frequent"
7660
strategy_nominal
"most_frequent"
7660
verbose
0
7660
categorical_features
[]
7661
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
7661
handle_unknown
"ignore"
7661
n_values
"auto"
7661
sparse
true
7661
threshold
0.0
7662
copy
true
7663
with_mean
false
7663
with_std
true
7663
C
0.0603803510145811
7708
cache_size
200
7708
class_weight
null
7708
coef0
0.2139801474303047
7708
decision_function_shape
null
7708
degree
4
7708
gamma
0.02740698407352311
7708
kernel
"poly"
7708
max_iter
-1
7708
probability
true
7708
random_state
24841
7708
shrinking
false
7708
tol
0.0023213505594983723
7708
verbose
false
7708
openml-pimp
openml-python
Sklearn_0.18.1.
study_71
300
isolet
https://www.openml.org/data/download/52405/phpB0xrNj
-1
18420789
description
https://api.openml.org/data/download/18420789/description.xml
-1
18420790
predictions
https://api.openml.org/data/download/18420790/predictions.arff
area_under_roc_curve
0.9995591165387951 [0.99992,0.998381,0.999967,0.999216,0.999601,0.999443,0.998885,0.999916,0.999981,0.999391,0.999686,0.999973,0.999271,0.999033,0.999997,0.998663,0.999985,0.99998,0.999675,0.998707,0.999996,0.999268,0.999985,0.999976,0.999999,0.999639]
average_cost
0
f_measure
0.9741097549486625 [0.991708,0.914191,0.981697,0.955075,0.958541,0.963087,0.9699,0.996656,0.993333,0.986667,0.989967,0.994992,0.950166,0.951424,0.996667,0.946488,0.995008,0.996678,0.971619,0.961474,0.994975,0.938023,0.980263,0.991653,0.994975,0.961474]
kappa
0.9730563034051762
kb_relative_information_score
7490.087714306978
mean_absolute_error
0.0067480132094278845
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]
precision
0.9741705422176796 [0.986799,0.905229,0.980066,0.953488,0.953795,0.963087,0.973154,1,0.993333,0.986667,0.993289,0.996656,0.943894,0.956229,0.996667,0.949664,0.993355,0.993377,0.973244,0.96633,1,0.942761,0.967532,0.993311,1,0.96633]
predictive_accuracy
0.9740925997178402
prior_entropy
4.700438289429255
recall
0.9740925997178402 [0.996667,0.923333,0.983333,0.956667,0.963333,0.963087,0.966667,0.993333,0.993333,0.986667,0.986667,0.993333,0.956522,0.946667,0.996667,0.943333,0.996667,1,0.97,0.956667,0.99,0.933333,0.993333,0.99,0.99,0.956667]
relative_absolute_error
0.0912331458307726
root_mean_prior_squared_error
0.19230768465256318
root_mean_squared_error
0.043571323862395414
root_relative_squared_error
0.22657089310348927
total_cost
0
area_under_roc_curve
0.9998102564102563 [1,1,0.999867,0.999511,0.999778,0.999911,1,1,1,1,1,1,0.999422,0.999289,1,0.998889,1,1,0.999956,0.999556,0.999956,0.999467,1,0.999822,1,0.999644]
area_under_roc_curve
0.9995025641025642 [0.999867,0.998978,1,0.998756,0.999511,1,1,1,0.999867,0.999511,0.997022,1,0.999289,0.998356,1,0.997911,1,0.999778,1,0.999911,1,0.998311,1,1,1,1]
area_under_roc_curve
0.9995948717948717 [0.999467,0.998622,0.999911,0.998578,0.999511,0.999822,0.998667,0.999111,1,0.999822,0.999867,1,0.999911,0.999867,1,1,1,1,0.999911,0.999289,1,0.998356,1,1,1,0.998756]
area_under_roc_curve
0.9996051282051283 [1,0.998622,1,0.999689,1,0.999778,0.999911,1,1,0.999956,1,1,0.998533,0.998889,1,0.994844,0.999956,1,0.999911,0.999644,1,1,1,1,1,1]
area_under_roc_curve
0.9989811965811966 [1,0.997511,1,0.999378,0.999467,0.9984,0.999956,1,1,0.994978,1,1,0.999378,0.997822,0.999956,0.999733,1,1,0.997733,0.9912,1,0.998133,1,1,1,0.999867]
area_under_roc_curve
0.9999282051282051 [1,0.999644,1,0.999956,1,0.999956,1,1,1,1,1,0.999644,1,0.999644,1,0.999378,1,1,1,1,1,0.999956,1,0.999956,1,1]
area_under_roc_curve
0.9994512820512822 [1,0.998,1,0.999822,0.998711,0.999467,1,1,1,1,1,1,0.997244,0.9964,1,0.996889,0.999911,1,0.999911,0.999956,0.999911,0.999911,1,1,1,0.9996]
area_under_roc_curve
0.9995903960950931 [1,0.99684,1,0.997641,0.999466,0.999733,0.99733,1,1,1,1,1,0.999724,0.999822,1,1,1,1,0.999822,0.999421,1,0.999955,1,1,1,0.999599]
area_under_roc_curve
0.9995389659468935 [1,0.998086,1,0.999154,1,1,0.994971,1,1,1,1,1,0.999733,0.999822,1,0.999599,1,1,1,0.998086,1,0.999466,1,1,1,0.99911]
area_under_roc_curve
0.9997344672371609 [1,0.998398,1,1,0.999866,0.997609,0.999777,1,1,1,1,1,0.999243,0.999911,1,0.999688,1,1,0.999288,0.999955,1,0.999421,0.999955,1,1,0.999911]
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
f_measure
0.9730630407753983 [0.983607,0.983051,0.95082,0.935484,0.966667,0.966667,0.983051,0.983051,1,1,1,0.983607,0.983607,0.983051,0.983051,0.909091,1,1,0.983607,0.95082,1,0.918033,1,0.949153,1,0.903226]
f_measure
0.9743972439331211 [0.983607,0.870968,1,0.95082,0.935484,1,0.966667,1,0.983051,0.967742,0.983051,1,0.966667,0.966667,1,0.915254,1,0.983607,1,0.965517,0.983051,0.928571,0.983607,1,1,1]
f_measure
0.9692947447031052 [0.983607,0.877193,0.983051,0.965517,0.95082,0.95082,0.983051,0.983051,0.983051,0.966667,0.965517,1,0.967742,0.965517,1,0.95082,1,0.983607,0.965517,0.95082,1,0.90625,0.952381,1,1,0.966667]
f_measure
0.9679938490905461 [1,0.90625,0.983607,0.965517,1,0.966667,0.967742,1,1,0.983051,1,1,0.885246,0.881356,1,0.9,0.983051,1,0.966667,0.912281,1,0.947368,0.952381,1,0.983051,0.983607]
f_measure
0.9656314218693625 [0.983607,0.875,1,0.933333,0.95082,0.918033,0.966667,1,1,0.966667,0.983051,0.983051,0.935484,0.949153,0.983607,0.966667,1,1,0.915254,0.949153,1,0.915254,0.983051,0.983051,1,0.965517]
f_measure
0.9872154979303764 [1,0.935484,0.983051,1,0.983051,0.983051,1,1,1,1,1,0.983051,0.949153,0.95082,1,0.965517,1,1,1,1,1,0.983607,0.983607,0.983607,1,0.983607]
f_measure
0.9704115972101032 [0.983051,0.95082,0.983607,0.95082,0.912281,0.949153,1,1,0.983607,1,0.983607,1,0.915254,0.918033,1,0.918033,0.983607,1,0.966667,0.983607,0.983051,0.933333,0.983607,1,0.983051,0.965517]
f_measure
0.9743780810138841 [1,0.918033,0.965517,0.949153,0.918033,0.95082,0.915254,1,1,1,1,1,0.966667,0.965517,1,0.983607,1,1,0.949153,0.95082,1,0.965517,1,1,1,0.935484]
f_measure
0.9768591245099915 [1,0.881356,1,0.903226,0.983607,0.983051,0.949153,1,1,0.983051,0.983607,1,0.966667,0.966667,1,0.967742,1,1,1,0.983051,1,0.9,1,1,1,0.947368]
f_measure
0.9819476013814977 [1,0.947368,0.967742,1,0.983607,0.964286,0.966667,1,0.983607,1,1,1,0.965517,0.967742,1,0.983607,0.983607,1,0.967742,0.966667,0.983051,0.983607,0.966667,1,0.983051,0.965517]
kappa
0.972
kappa
0.9733333333333333
kappa
0.968
kappa
0.9666666666666667
kappa
0.964
kappa
0.9866666666666667
kappa
0.9693333333333334
kappa
0.9732991489317946
kappa
0.9759691928548537
kappa
0.9813092761243398
kb_relative_information_score
748.4835543297045
kb_relative_information_score
748.4848556385956
kb_relative_information_score
747.9097274582283
kb_relative_information_score
749.459254193136
kb_relative_information_score
743.8638984492821
kb_relative_information_score
755.58776216454
kb_relative_information_score
746.2474526476019
kb_relative_information_score
750.4464914545971
kb_relative_information_score
749.0509616285644
kb_relative_information_score
750.5537563427253
mean_absolute_error
0.006984883644642651
mean_absolute_error
0.006782196542789465
mean_absolute_error
0.006799704492226801
mean_absolute_error
0.006807437212471046
mean_absolute_error
0.0073477031529478555
mean_absolute_error
0.006053894327638905
mean_absolute_error
0.007083223973939738
mean_absolute_error
0.006252783001613606
mean_absolute_error
0.006713839907137218
mean_absolute_error
0.006653666158665203
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]
precision
0.9740485332705856 [0.967742,1,0.935484,0.90625,0.966667,0.966667,1,1,1,1,1,0.967742,0.967742,1,1,1,1,1,0.967742,0.935484,1,0.903226,1,0.965517,1,0.875]
precision
0.9752786215453066 [0.967742,0.84375,1,0.935484,0.90625,1,0.966667,1,1,0.9375,1,1,0.966667,0.966667,1,0.931034,1,0.967742,1,1,1,1,0.967742,1,1,1]
precision
0.970623488448441 [0.967742,0.925926,1,1,0.935484,0.935484,1,1,1,0.966667,1,1,0.9375,1,1,0.935484,1,0.967742,1,0.935484,1,0.852941,0.909091,1,1,0.966667]
precision
0.9691858353422672 [1,0.852941,0.967742,1,1,0.966667,0.9375,1,1,1,1,1,0.870968,0.896552,1,0.9,1,1,0.966667,0.962963,1,1,0.909091,1,1,0.967742]
precision
0.9665542208369613 [0.967742,0.823529,1,0.933333,0.935484,0.903226,0.966667,1,1,0.966667,1,1,0.90625,0.965517,0.967742,0.966667,1,1,0.931034,0.965517,1,0.931034,1,1,1,1]
precision
0.9876238020877897 [1,0.90625,1,1,1,1,1,1,1,1,1,1,0.965517,0.935484,1,1,1,1,1,1,1,0.967742,0.967742,0.967742,1,0.967742]
precision
0.9708994482631856 [1,0.935484,0.967742,0.935484,0.962963,0.965517,1,1,0.967742,1,0.967742,1,0.931034,0.903226,1,0.903226,0.967742,1,0.966667,0.967742,1,0.933333,0.967742,1,1,1]
precision
0.9750108343174059 [1,0.903226,1,0.965517,0.903226,0.935484,0.931034,1,1,1,1,1,0.935484,1,1,0.967742,1,1,0.965517,0.935484,1,1,1,1,1,0.90625]
precision
0.9773233869420832 [1,0.896552,1,0.875,0.967742,0.966667,0.965517,1,1,1,0.967742,1,0.966667,0.966667,1,0.9375,1,1,1,1,1,0.9,1,1,1,1]
precision
0.9827166756387428 [1,1,0.9375,1,0.967742,1,0.966667,1,0.967742,1,1,1,1,0.9375,1,0.967742,0.967742,1,0.9375,0.966667,1,0.967742,0.966667,1,1,1]
predictive_accuracy
0.9730769230769231
predictive_accuracy
0.9743589743589743
predictive_accuracy
0.9692307692307692
predictive_accuracy
0.967948717948718
predictive_accuracy
0.9653846153846153
predictive_accuracy
0.9871794871794871
predictive_accuracy
0.9705128205128206
predictive_accuracy
0.9743260590500641
predictive_accuracy
0.9768934531450577
predictive_accuracy
0.982028241335045
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
0.9730769230769231 [1,0.966667,0.966667,0.966667,0.966667,0.966667,0.966667,0.966667,1,1,1,1,1,0.966667,0.966667,0.833333,1,1,1,0.966667,1,0.933333,1,0.933333,1,0.933333]
recall
0.9743589743589743 [1,0.9,1,0.966667,0.966667,1,0.966667,1,0.966667,1,0.966667,1,0.966667,0.966667,1,0.9,1,1,1,0.933333,0.966667,0.866667,1,1,1,1]
recall
0.9692307692307692 [1,0.833333,0.966667,0.933333,0.966667,0.966667,0.966667,0.966667,0.966667,0.966667,0.933333,1,1,0.933333,1,0.966667,1,1,0.933333,0.966667,1,0.966667,1,1,1,0.966667]
recall
0.967948717948718 [1,0.966667,1,0.933333,1,0.966667,1,1,1,0.966667,1,1,0.9,0.866667,1,0.9,0.966667,1,0.966667,0.866667,1,0.9,1,1,0.966667,1]
recall
0.9653846153846154 [1,0.933333,1,0.933333,0.966667,0.933333,0.966667,1,1,0.966667,0.966667,0.966667,0.966667,0.933333,1,0.966667,1,1,0.9,0.933333,1,0.9,0.966667,0.966667,1,0.933333]
recall
0.9871794871794872 [1,0.966667,0.966667,1,0.966667,0.966667,1,1,1,1,1,0.966667,0.933333,0.966667,1,0.933333,1,1,1,1,1,1,1,1,1,1]
recall
0.9705128205128205 [0.966667,0.966667,1,0.966667,0.866667,0.933333,1,1,1,1,1,1,0.9,0.933333,1,0.933333,1,1,0.966667,1,0.966667,0.933333,1,1,0.966667,0.933333]
recall
0.9743260590500642 [1,0.933333,0.933333,0.933333,0.933333,0.966667,0.9,1,1,1,1,1,1,0.933333,1,1,1,1,0.933333,0.966667,1,0.933333,1,1,1,0.966667]
recall
0.9768934531450578 [1,0.866667,1,0.933333,1,1,0.933333,1,1,0.966667,1,1,0.966667,0.966667,1,1,1,1,1,0.966667,1,0.9,1,1,1,0.9]
recall
0.982028241335045 [1,0.9,1,1,1,0.931034,0.966667,1,1,1,1,1,0.933333,1,1,1,1,1,1,0.966667,0.966667,1,0.966667,1,0.966667,0.933333]
relative_absolute_error
0.09443562687556806
relative_absolute_error
0.09169529725851301
relative_absolute_error
0.09193200473490579
relative_absolute_error
0.09203655111260799
relative_absolute_error
0.0993409466278544
relative_absolute_error
0.0818486513096775
relative_absolute_error
0.0957651881276647
relative_absolute_error
0.08453763894406269
relative_absolute_error
0.0907711447384605
relative_absolute_error
0.08995759539746379
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
0.0441989767960763
root_mean_squared_error
0.044311435897721546
root_mean_squared_error
0.04481362392542156
root_mean_squared_error
0.04438059530206036
root_mean_squared_error
0.04953599233052122
root_mean_squared_error
0.03597023150742264
root_mean_squared_error
0.04598966343749306
root_mean_squared_error
0.04243558366936753
root_mean_squared_error
0.041498971496774936
root_mean_squared_error
0.04127209253661038
root_relative_squared_error
0.2298346702512643
root_relative_squared_error
0.23041945755669535
root_relative_squared_error
0.23303083519747392
root_relative_squared_error
0.23077908644503636
root_relative_squared_error
0.25758714993296394
root_relative_squared_error
0.18704519644228568
root_relative_squared_error
0.23914624041842483
root_relative_squared_error
0.22066505966773264
root_relative_squared_error
0.2157947126543392
root_relative_squared_error
0.21461494172869514
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
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
140131.81147399882
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis_testing
3523.644348999369
usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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