4805776
1
Jan van Rijn
14
Supervised Classification
6952
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1)
2841279
axis
0
6947
categorical_features
[]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"most_frequent"
6947
strategy_nominal
"most_frequent"
6947
verbose
0
6947
categorical_features
[]
6948
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
6948
handle_unknown
"ignore"
6948
n_values
"auto"
6948
sparse
false
6948
threshold
0.0
6949
C
29526.716070556973
6953
cache_size
200
6953
class_weight
null
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coef0
0.8783304788326982
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decision_function_shape
null
6953
degree
3
6953
gamma
5.350961439827518
6953
kernel
"sigmoid"
6953
max_iter
-1
6953
probability
true
6953
random_state
26046
6953
shrinking
false
6953
tol
0.02458332725758821
6953
verbose
false
6953
openml-pimp
openml-python
Sklearn_0.18.1.
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
10545759
description
https://api.openml.org/data/download/10545759/description.xml
-1
10545760
predictions
https://api.openml.org/data/download/10545760/predictions.arff
area_under_roc_curve
0.8018966666666668 [0.999697,0.680997,0.953403,0.725339,0.615714,0.615375,0.798233,0.884753,0.959306,0.78615]
average_cost
0
kappa
0.2966666666666667
kb_relative_information_score
366.745855727748
mean_absolute_error
0.1646268763676538
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
predictive_accuracy
0.36700000000000005
prior_entropy
3.321928094887362
recall
0.367 [0.965,0.045,0.645,0.535,0.19,0,0.3,0,0.935,0.055]
relative_absolute_error
0.9145937575980486
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.282368836933045
root_relative_squared_error
0.9412294564434689
total_cost
0
area_under_roc_curve
0.8286388888888888 [0.999722,0.817222,0.933333,0.839167,0.6725,0.554167,0.854444,0.9075,0.960278,0.748056]
area_under_roc_curve
0.7950833333333333 [1,0.6825,0.971944,0.748611,0.629167,0.595,0.78,0.843056,0.926944,0.773611]
area_under_roc_curve
0.8010277777777778 [0.999444,0.668611,0.974444,0.673333,0.563611,0.711389,0.718889,0.874444,0.992778,0.833333]
area_under_roc_curve
0.7855 [0.999167,0.542778,0.955,0.759722,0.507778,0.628611,0.818333,0.888333,0.937222,0.818056]
area_under_roc_curve
0.7954444444444444 [0.999722,0.533889,0.945556,0.733056,0.636111,0.562222,0.839444,0.910556,0.973056,0.820833]
area_under_roc_curve
0.8246111111111112 [0.999444,0.75,0.976944,0.7375,0.606389,0.643889,0.835278,0.913889,0.989167,0.793611]
area_under_roc_curve
0.8153611111111111 [0.999444,0.675833,0.975556,0.758611,0.581111,0.685833,0.78,0.921944,0.973056,0.802222]
area_under_roc_curve
0.8124722222222222 [1,0.75,0.975278,0.656667,0.654722,0.510278,0.814722,0.926389,0.970833,0.865833]
area_under_roc_curve
0.8039722222222223 [1,0.616944,0.974722,0.767778,0.594444,0.598333,0.807222,0.872222,0.975278,0.832778]
area_under_roc_curve
0.8118611111111109 [1,0.794444,0.941111,0.743333,0.623611,0.647778,0.861667,0.895,0.908056,0.703611]
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
0.32777777777777783
kappa
0.29444444444444445
kappa
0.3055555555555556
kappa
0.2888888888888889
kappa
0.27777777777777773
kappa
0.29444444444444445
kappa
0.2611111111111111
kappa
0.29444444444444445
kappa
0.32777777777777783
kappa
0.29444444444444445
kb_relative_information_score
36.1991780670545
kb_relative_information_score
36.6105149437014
kb_relative_information_score
36.737479550236124
kb_relative_information_score
33.57461239363261
kb_relative_information_score
35.68777345863112
kb_relative_information_score
38.5917358094432
kb_relative_information_score
37.24573505809906
kb_relative_information_score
36.70750215714158
kb_relative_information_score
37.96843108834666
kb_relative_information_score
37.422893201461505
mean_absolute_error
0.16534561513906534
mean_absolute_error
0.1646187532607675
mean_absolute_error
0.16465038276124677
mean_absolute_error
0.16700446243780198
mean_absolute_error
0.16568490352497078
mean_absolute_error
0.1628817480920505
mean_absolute_error
0.16361756414472756
mean_absolute_error
0.16485356245080163
mean_absolute_error
0.16332180106207983
mean_absolute_error
0.16428997080302576
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
0.395
predictive_accuracy
0.365
predictive_accuracy
0.375
predictive_accuracy
0.36
predictive_accuracy
0.35
predictive_accuracy
0.365
predictive_accuracy
0.335
predictive_accuracy
0.365
predictive_accuracy
0.395
predictive_accuracy
0.365
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
0.395 [1,0.05,0.7,0.6,0.05,0,0.65,0,0.9,0]
recall
0.365 [1,0.05,0.5,0.65,0.05,0,0.2,0,0.95,0.25]
recall
0.375 [0.9,0.05,0.75,0.3,0.5,0,0.1,0,1,0.15]
recall
0.36 [1,0.1,0.65,0.4,0.35,0,0.25,0,0.85,0]
recall
0.35 [1,0.15,0.6,0.5,0.05,0,0.3,0,0.9,0]
recall
0.365 [0.95,0,0.6,0.3,0.45,0,0.4,0,0.95,0]
recall
0.335 [0.85,0,0.4,0.75,0,0,0.4,0,0.95,0]
recall
0.365 [0.95,0,0.75,0.7,0,0,0.25,0,0.95,0.05]
recall
0.395 [1,0,0.8,0.5,0.45,0,0.1,0,1,0.1]
recall
0.365 [1,0.05,0.7,0.65,0,0,0.35,0,0.9,0]
relative_absolute_error
0.9185867507725862
relative_absolute_error
0.9145486292264872
relative_absolute_error
0.9147243486735941
relative_absolute_error
0.927802569098901
relative_absolute_error
0.9204716862498388
relative_absolute_error
0.9048986005113926
relative_absolute_error
0.9089864674707095
relative_absolute_error
0.9158531247266767
relative_absolute_error
0.9073433392337777
relative_absolute_error
0.9127220600168109
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
0.2829083452973596
root_mean_squared_error
0.283641955177691
root_mean_squared_error
0.2810218974679226
root_mean_squared_error
0.2848213894191687
root_mean_squared_error
0.2831694130707005
root_mean_squared_error
0.27943603997978345
root_mean_squared_error
0.28245014275641944
root_mean_squared_error
0.28283656334002605
root_mean_squared_error
0.28238756597078546
root_mean_squared_error
0.2809776153855384
root_relative_squared_error
0.9430278176578659
root_relative_squared_error
0.9454731839256371
root_relative_squared_error
0.9367396582264094
root_relative_squared_error
0.9494046313972295
root_relative_squared_error
0.9438980435690021
root_relative_squared_error
0.9314534665992786
root_relative_squared_error
0.9415004758547321
root_relative_squared_error
0.942788544466754
root_relative_squared_error
0.9412918865692853
root_relative_squared_error
0.9365920512851286
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
23770.2569639996
usercpu_time_millis
19554.24564399982
usercpu_time_millis
18579.859843000122
usercpu_time_millis
23737.582057999134
usercpu_time_millis
22928.822573000616
usercpu_time_millis
18075.61282900042
usercpu_time_millis
18430.71165099991
usercpu_time_millis
18523.464934999538
usercpu_time_millis
19439.53810000039
usercpu_time_millis
22892.716388000736
usercpu_time_millis_testing
199.82922500003042
usercpu_time_millis_testing
157.6634439998088
usercpu_time_millis_testing
196.58534700010932
usercpu_time_millis_testing
199.51539399971807
usercpu_time_millis_testing
155.45261700026458
usercpu_time_millis_testing
155.95095100070466
usercpu_time_millis_testing
156.84172399960516
usercpu_time_millis_testing
159.11916499953804
usercpu_time_millis_testing
198.44891200045822
usercpu_time_millis_testing
158.59314200042718
usercpu_time_millis_training
23570.42773899957
usercpu_time_millis_training
19396.58220000001
usercpu_time_millis_training
18383.274496000013
usercpu_time_millis_training
23538.066663999416
usercpu_time_millis_training
22773.36995600035
usercpu_time_millis_training
17919.661877999715
usercpu_time_millis_training
18273.869927000305
usercpu_time_millis_training
18364.34577
usercpu_time_millis_training
19241.089187999933
usercpu_time_millis_training
22734.12324600031