8701130
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)
6678549
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
180.7417848141278
7708
cache_size
200
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class_weight
null
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coef0
-0.8908868283102147
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decision_function_shape
null
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degree
3
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gamma
0.00197901048083973
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kernel
"poly"
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max_iter
-1
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probability
true
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random_state
37069
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shrinking
true
7708
tol
0.0007355358032153369
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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
18319167
description
https://api.openml.org/data/download/18319167/description.xml
-1
18319168
predictions
https://api.openml.org/data/download/18319168/predictions.arff
area_under_roc_curve
0.7333444444444445 [0.743067,0.778542,0.790367,0.811283,0.707206,0.758822,0.449231,0.813561,0.929506,0.551861]
average_cost
0
kappa
0.1738888888888889
kb_relative_information_score
313.9588952473478
mean_absolute_error
0.16987190551383893
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
predictive_accuracy
0.2565
prior_entropy
3.321928094887362
recall
0.2565 [0.555,0.135,0.225,0,0.015,0.05,0.17,0.415,0.935,0.065]
relative_absolute_error
0.9437328084101873
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.2909140637458613
root_relative_squared_error
0.9697135458195228
total_cost
0
area_under_roc_curve
0.7283055555555557 [0.716111,0.757222,0.780556,0.857778,0.779444,0.728889,0.575556,0.828056,0.92,0.339444]
area_under_roc_curve
0.7313333333333333 [0.773889,0.762778,0.736389,0.858611,0.806944,0.6975,0.685833,0.788056,0.871389,0.331944]
area_under_roc_curve
0.7191944444444445 [0.741667,0.757222,0.800556,0.790278,0.684444,0.776944,0.283056,0.7625,0.948056,0.647222]
area_under_roc_curve
0.7416666666666666 [0.705833,0.827778,0.8475,0.779167,0.71,0.737778,0.561111,0.684722,0.906389,0.656389]
area_under_roc_curve
0.7608333333333333 [0.783611,0.816667,0.773056,0.751944,0.716111,0.880833,0.436667,0.841389,0.941944,0.666111]
area_under_roc_curve
0.7686944444444443 [0.774444,0.753056,0.909444,0.817222,0.675556,0.768333,0.464722,0.883056,0.964722,0.676389]
area_under_roc_curve
0.731 [0.808611,0.825556,0.690278,0.871111,0.697778,0.633611,0.321667,0.903056,0.931389,0.626944]
area_under_roc_curve
0.754111111111111 [0.777778,0.806944,0.791944,0.794722,0.638889,0.847778,0.391667,0.846111,0.949444,0.695833]
area_under_roc_curve
0.7396944444444444 [0.763056,0.779722,0.771389,0.777778,0.715,0.837778,0.306944,0.801944,0.945278,0.698056]
area_under_roc_curve
0.73125 [0.640833,0.798333,0.799444,0.866389,0.759167,0.839722,0.503611,0.851111,0.877222,0.376667]
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
0.1222222222222222
kappa
0.08888888888888888
kappa
0.16666666666666666
kappa
0.17222222222222222
kappa
0.19444444444444445
kappa
0.2833333333333333
kappa
0.16666666666666666
kappa
0.20555555555555552
kappa
0.18333333333333335
kappa
0.15555555555555553
kb_relative_information_score
29.74967041265989
kb_relative_information_score
29.203245791289707
kb_relative_information_score
30.330392091495682
kb_relative_information_score
31.20158046184947
kb_relative_information_score
32.90386745211993
kb_relative_information_score
37.17483506684563
kb_relative_information_score
31.322138754341037
kb_relative_information_score
32.41746629017937
kb_relative_information_score
31.161987058211288
kb_relative_information_score
28.493711868356254
mean_absolute_error
0.17027072466857
mean_absolute_error
0.17064295886904643
mean_absolute_error
0.17060769852119165
mean_absolute_error
0.17008254685031685
mean_absolute_error
0.1691246175440087
mean_absolute_error
0.16726042638868513
mean_absolute_error
0.16980419180281361
mean_absolute_error
0.16911915606639819
mean_absolute_error
0.17002452421388756
mean_absolute_error
0.17178221021347218
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
0.21
predictive_accuracy
0.18
predictive_accuracy
0.25
predictive_accuracy
0.255
predictive_accuracy
0.275
predictive_accuracy
0.355
predictive_accuracy
0.25
predictive_accuracy
0.285
predictive_accuracy
0.265
predictive_accuracy
0.24
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
0.21 [0.25,0.05,0.3,0,0,0.05,0,0.3,0.9,0.25]
recall
0.18 [0.1,0.1,0.1,0,0.05,0.1,0,0.4,0.8,0.15]
recall
0.25 [0.25,0.25,0.35,0,0.05,0.15,0.15,0.45,0.85,0]
recall
0.255 [0.75,0.15,0.15,0,0,0,0.35,0.2,0.95,0]
recall
0.275 [0.8,0.25,0.05,0,0,0,0.1,0.4,1,0.15]
recall
0.355 [0.8,0.15,0.55,0,0,0.05,0.4,0.6,0.95,0.05]
recall
0.25 [0.75,0.05,0.1,0,0,0,0.15,0.45,1,0]
recall
0.285 [0.65,0.2,0.1,0,0,0.1,0.15,0.65,1,0]
recall
0.265 [0.7,0.05,0.25,0,0.05,0.05,0.1,0.4,1,0.05]
recall
0.24 [0.5,0.1,0.3,0,0,0,0.3,0.3,0.9,0]
relative_absolute_error
0.9459484703809454
relative_absolute_error
0.94801643816137
relative_absolute_error
0.9478205473399547
relative_absolute_error
0.9449030380573169
relative_absolute_error
0.9395812085778271
relative_absolute_error
0.9292245910482518
relative_absolute_error
0.9433566211267435
relative_absolute_error
0.9395508670355466
relative_absolute_error
0.9445806900771543
relative_absolute_error
0.9543456122970686
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
0.2926757427527989
root_mean_squared_error
0.2927446924499489
root_mean_squared_error
0.29202002185478526
root_mean_squared_error
0.290732617647269
root_mean_squared_error
0.28959113444675744
root_mean_squared_error
0.2861652507577942
root_mean_squared_error
0.29090394767320654
root_mean_squared_error
0.28950272262773924
root_mean_squared_error
0.2905819895080041
root_mean_squared_error
0.29414593261015765
root_relative_squared_error
0.975585809175997
root_relative_squared_error
0.9758156414998302
root_relative_squared_error
0.9734000728492848
root_relative_squared_error
0.9691087254908972
root_relative_squared_error
0.9653037814891919
root_relative_squared_error
0.953884169192648
root_relative_squared_error
0.9696798255773557
root_relative_squared_error
0.9650090754257981
root_relative_squared_error
0.9686066316933477
root_relative_squared_error
0.9804864420338594
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
5349.160417998974
usercpu_time_millis
5714.16261899958
usercpu_time_millis
5527.404646999457
usercpu_time_millis
5395.038587999807
usercpu_time_millis
5506.816474999141
usercpu_time_millis
5420.659434000299
usercpu_time_millis
5432.32623699987
usercpu_time_millis
5463.938036999934
usercpu_time_millis
5407.396909999989
usercpu_time_millis
5367.120044999865
usercpu_time_millis_testing
56.892312999480055
usercpu_time_millis_testing
56.059653000374965
usercpu_time_millis_testing
57.05046099956235
usercpu_time_millis_testing
58.79329700019298
usercpu_time_millis_testing
55.81782999979623
usercpu_time_millis_testing
56.669549000616826
usercpu_time_millis_testing
55.41306200029794
usercpu_time_millis_testing
59.71108599987929
usercpu_time_millis_testing
55.77208199974848
usercpu_time_millis_testing
55.409978999705345
usercpu_time_millis_training
5292.2681049994935
usercpu_time_millis_training
5658.1029659992055
usercpu_time_millis_training
5470.354185999895
usercpu_time_millis_training
5336.245290999614
usercpu_time_millis_training
5450.998644999345
usercpu_time_millis_training
5363.9898849996825
usercpu_time_millis_training
5376.913174999572
usercpu_time_millis_training
5404.226951000055
usercpu_time_millis_training
5351.62482800024
usercpu_time_millis_training
5311.71006600016