8828059
1
Jan van Rijn
14
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)
6803109
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
15504.740053506657
7708
cache_size
200
7708
class_weight
null
7708
coef0
-0.4111937971829607
7708
decision_function_shape
null
7708
degree
1
7708
gamma
0.0001061824176796361
7708
kernel
"sigmoid"
7708
max_iter
-1
7708
probability
true
7708
random_state
25338
7708
shrinking
false
7708
tol
1.97430651611124e-05
7708
verbose
false
7708
openml-pimp
openml-python
Sklearn_0.18.1.
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
18571922
description
https://api.openml.org/data/download/18571922/description.xml
-1
18571923
predictions
https://api.openml.org/data/download/18571923/predictions.arff
area_under_roc_curve
0.9814727777777777 [1,0.969172,0.993386,0.989164,0.971078,0.992347,0.957756,0.993983,0.995592,0.95225]
average_cost
0
f_measure
0.8364878235189701 [0.997494,0.774359,0.944162,0.862843,0.77551,0.90099,0.613811,0.901205,0.982456,0.612048]
kappa
0.8183333333333334
kb_relative_information_score
1604.8471837734664
mean_absolute_error
0.056873204609065066
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.837168176623145 [1,0.794737,0.958763,0.860697,0.791667,0.892157,0.628272,0.869767,0.984925,0.590698]
predictive_accuracy
0.8365
prior_entropy
3.321928094887362
recall
0.8365 [0.995,0.755,0.93,0.865,0.76,0.91,0.6,0.935,0.98,0.635]
relative_absolute_error
0.3159622478281295
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.1554967989286482
root_relative_squared_error
0.518322663095486
total_cost
0
area_under_roc_curve
0.986 [1,0.984722,1,0.993333,0.986389,1,0.942222,0.996389,1,0.956944]
area_under_roc_curve
0.9834444444444445 [1,0.958611,0.997778,0.985833,0.979722,0.988333,0.960833,0.996944,0.999722,0.966667]
area_under_roc_curve
0.9825833333333334 [1,0.974444,0.998889,0.977778,0.990556,0.997222,0.940278,0.995278,1,0.951389]
area_under_roc_curve
0.9910555555555556 [1,0.985556,0.997778,0.996944,0.998611,0.993056,0.989444,0.998333,0.986944,0.963889]
area_under_roc_curve
0.9755277777777779 [1,0.930556,0.995833,0.978056,0.973611,0.991111,0.953889,0.993611,1,0.938611]
area_under_roc_curve
0.9804444444444443 [1,0.960556,0.997222,0.979444,0.954444,0.996111,0.966667,0.995278,1,0.954722]
area_under_roc_curve
0.9847222222222222 [1,0.982778,0.974444,0.998611,0.985,0.997222,0.972222,0.992778,1,0.944167]
area_under_roc_curve
0.9770555555555555 [1,0.960278,0.997222,0.992778,0.93,0.97,0.962778,0.986944,0.997778,0.972778]
area_under_roc_curve
0.9826666666666668 [1,0.974722,0.999444,0.996667,0.974167,0.993611,0.953333,0.995278,1,0.939444]
area_under_roc_curve
0.9766944444444444 [1,0.972222,0.977222,0.995556,0.960278,0.998056,0.949444,0.993056,0.970833,0.950278]
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
0.8472215818949942 [0.974359,0.904762,0.97561,0.842105,0.809524,0.974359,0.622222,0.923077,0.97561,0.470588]
f_measure
0.8130965616383363 [1,0.666667,0.918919,0.8,0.761905,0.878049,0.545455,0.904762,0.974359,0.680851]
f_measure
0.8334779255831887 [1,0.809524,0.974359,0.842105,0.8,0.9,0.571429,0.923077,1,0.514286]
f_measure
0.8952903598346472 [1,0.842105,0.974359,0.888889,0.904762,0.864865,0.8,0.923077,0.974359,0.780488]
f_measure
0.7822382122382122 [1,0.7,0.918919,0.818182,0.666667,0.809524,0.5,0.863636,1,0.545455]
f_measure
0.8330155972138837 [1,0.769231,0.923077,0.842105,0.666667,0.863636,0.697674,0.952381,1,0.615385]
f_measure
0.8328232165780304 [1,0.722222,0.894737,0.904762,0.780488,0.95,0.631579,0.844444,1,0.6]
f_measure
0.8581994585075458 [1,0.820513,0.97561,0.9,0.722222,0.904762,0.684211,0.871795,0.97561,0.727273]
f_measure
0.8579395185256813 [1,0.764706,0.97561,0.952381,0.820513,0.947368,0.571429,0.909091,1,0.638298]
f_measure
0.7980249385557849 [1,0.731707,0.904762,0.823529,0.777778,0.926829,0.487805,0.904762,0.923077,0.5]
kappa
0.8333333333333333
kappa
0.7944444444444444
kappa
0.8166666666666667
kappa
0.8833333333333333
kappa
0.7611111111111112
kappa
0.8166666666666667
kappa
0.8166666666666667
kappa
0.8444444444444444
kappa
0.8444444444444444
kappa
0.7722222222222223
kb_relative_information_score
162.73580029143238
kb_relative_information_score
160.05592373958487
kb_relative_information_score
161.179654468734
kb_relative_information_score
163.50849699351727
kb_relative_information_score
154.28443805728475
kb_relative_information_score
159.32234258603512
kb_relative_information_score
163.76540875419832
kb_relative_information_score
159.5569087199773
kb_relative_information_score
163.53284892983314
kb_relative_information_score
156.90536123287083
mean_absolute_error
0.054868170581382276
mean_absolute_error
0.0573618373428338
mean_absolute_error
0.05658628913771482
mean_absolute_error
0.05579274287159947
mean_absolute_error
0.062249241238757795
mean_absolute_error
0.05801302817476626
mean_absolute_error
0.05273436679344392
mean_absolute_error
0.05823007982743936
mean_absolute_error
0.052849061785097684
mean_absolute_error
0.060047228337615687
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]
precision
0.8508811422495631 [1,0.863636,0.952381,0.888889,0.772727,1,0.56,0.947368,0.952381,0.571429]
precision
0.8217162759268022 [1,0.684211,1,0.8,0.727273,0.857143,0.692308,0.863636,1,0.592593]
precision
0.8374439128123339 [1,0.772727,1,0.888889,0.72,0.9,0.545455,0.947368,1,0.6]
precision
0.9002974906070881 [1,0.888889,1,0.8,0.863636,0.941176,0.8,0.947368,1,0.761905]
precision
0.7923047785547785 [1,0.7,1,0.75,0.846154,0.772727,0.5625,0.791667,1,0.5]
precision
0.8360241430321521 [1,0.789474,0.947368,0.888889,0.75,0.791667,0.652174,0.909091,1,0.631579]
precision
0.8359152236652236 [1,0.8125,0.944444,0.863636,0.761905,0.95,0.666667,0.76,1,0.6]
precision
0.8606629262550315 [1,0.842105,0.952381,0.9,0.8125,0.863636,0.722222,0.894737,0.952381,0.666667]
precision
0.8687704108756741 [1,0.928571,0.952381,0.909091,0.842105,1,0.666667,0.833333,1,0.555556]
precision
0.8103212576896788 [1,0.714286,0.863636,1,0.875,0.904762,0.47619,0.863636,0.947368,0.458333]
predictive_accuracy
0.85
predictive_accuracy
0.815
predictive_accuracy
0.835
predictive_accuracy
0.895
predictive_accuracy
0.785
predictive_accuracy
0.835
predictive_accuracy
0.835
predictive_accuracy
0.86
predictive_accuracy
0.86
predictive_accuracy
0.795
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
0.85 [0.95,0.95,1,0.8,0.85,0.95,0.7,0.9,1,0.4]
recall
0.815 [1,0.65,0.85,0.8,0.8,0.9,0.45,0.95,0.95,0.8]
recall
0.835 [1,0.85,0.95,0.8,0.9,0.9,0.6,0.9,1,0.45]
recall
0.895 [1,0.8,0.95,1,0.95,0.8,0.8,0.9,0.95,0.8]
recall
0.785 [1,0.7,0.85,0.9,0.55,0.85,0.45,0.95,1,0.6]
recall
0.835 [1,0.75,0.9,0.8,0.6,0.95,0.75,1,1,0.6]
recall
0.835 [1,0.65,0.85,0.95,0.8,0.95,0.6,0.95,1,0.6]
recall
0.86 [1,0.8,1,0.9,0.65,0.95,0.65,0.85,1,0.8]
recall
0.86 [1,0.65,1,1,0.8,0.9,0.5,1,1,0.75]
recall
0.795 [1,0.75,0.95,0.7,0.7,0.95,0.5,0.95,0.9,0.55]
relative_absolute_error
0.30482316989656855
relative_absolute_error
0.3186768741268548
relative_absolute_error
0.3143682729873049
relative_absolute_error
0.3099596826199974
relative_absolute_error
0.34582911799309923
relative_absolute_error
0.322294600970924
relative_absolute_error
0.2929687044080221
relative_absolute_error
0.32350044348577456
relative_absolute_error
0.29360589880609855
relative_absolute_error
0.33359571298675417
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
0.1496089546878984
root_mean_squared_error
0.1562241531871111
root_mean_squared_error
0.15262083895591308
root_mean_squared_error
0.144831144239086
root_mean_squared_error
0.1704821524073803
root_mean_squared_error
0.15796167712250725
root_mean_squared_error
0.14796838693644737
root_mean_squared_error
0.1623128877102274
root_mean_squared_error
0.1484597704022851
root_mean_squared_error
0.16259785477491598
root_relative_squared_error
0.4986965156263283
root_relative_squared_error
0.5207471772903707
root_relative_squared_error
0.508736129853044
root_relative_squared_error
0.4827704807969536
root_relative_squared_error
0.5682738413579347
root_relative_squared_error
0.5265389237416911
root_relative_squared_error
0.49322795645482487
root_relative_squared_error
0.5410429590340917
root_relative_squared_error
0.49486590134095065
root_relative_squared_error
0.5419928492497202
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
6828.784836001432
usercpu_time_millis
6754.5355780021055
usercpu_time_millis
6764.908016000845
usercpu_time_millis
6840.633482999692
usercpu_time_millis
7019.154693000019
usercpu_time_millis
7083.9203070027
usercpu_time_millis
7000.294820998533
usercpu_time_millis
7019.678749999002
usercpu_time_millis
7096.6141230019275
usercpu_time_millis
6693.349998997292
usercpu_time_millis_testing
43.721000001823995
usercpu_time_millis_testing
43.8266500023019
usercpu_time_millis_testing
43.04724900066503
usercpu_time_millis_testing
43.31740699853981
usercpu_time_millis_testing
47.81614400053513
usercpu_time_millis_testing
43.85830100000021
usercpu_time_millis_testing
43.527093999728095
usercpu_time_millis_testing
45.36928499874193
usercpu_time_millis_testing
45.29298600027687
usercpu_time_millis_testing
48.199474997090874
usercpu_time_millis_training
6785.063835999608
usercpu_time_millis_training
6710.708927999804
usercpu_time_millis_training
6721.86076700018
usercpu_time_millis_training
6797.316076001152
usercpu_time_millis_training
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usercpu_time_millis_training
7040.0620060026995
usercpu_time_millis_training
6956.767726998805
usercpu_time_millis_training
6974.30946500026
usercpu_time_millis_training
7051.321137001651
usercpu_time_millis_training
6645.150524000201