8844725
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)
6819775
axis
0
7660
categorical_features
[]
7660
copy
true
7660
fill_empty
0
7660
missing_values
"NaN"
7660
strategy
"median"
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
0.19589198264283875
7708
cache_size
200
7708
class_weight
null
7708
coef0
0.7606615681360005
7708
decision_function_shape
null
7708
degree
4
7708
gamma
0.029522416597849405
7708
kernel
"rbf"
7708
max_iter
-1
7708
probability
true
7708
random_state
17991
7708
shrinking
false
7708
tol
0.00022075364922974195
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
18605084
description
https://www.openml.org/data/download/18605084/description.xml
-1
18605085
predictions
https://www.openml.org/data/download/18605085/predictions.arff
area_under_roc_curve
0.971926111111111 [0.999961,0.961806,0.995253,0.984431,0.943717,0.988628,0.931336,0.988444,0.992431,0.933256]
average_cost
0
f_measure
0.775308964911853 [0.987342,0.73301,0.941772,0.817708,0.717063,0.904523,0.379822,0.842105,0.970149,0.459596]
kappa
0.7561111111111111
kb_relative_information_score
1507.7535156102792
mean_absolute_error
0.06714833649593474
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7763765773822009 [1,0.712264,0.953846,0.853261,0.631179,0.909091,0.467153,0.807339,0.965347,0.464286]
predictive_accuracy
0.7805
prior_entropy
3.321928094887362
recall
0.7805 [0.975,0.755,0.93,0.785,0.83,0.9,0.32,0.88,0.975,0.455]
relative_absolute_error
0.3730463138662926
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.17295349113497874
root_relative_squared_error
0.5765116371165869
total_cost
0
area_under_roc_curve
0.9738888888888888 [0.999722,0.964167,0.996667,0.984444,0.931944,0.996667,0.927222,0.989167,0.999444,0.949444]
area_under_roc_curve
0.9717777777777777 [1,0.967778,0.993889,0.974167,0.931667,0.990556,0.926111,0.99,0.989722,0.953889]
area_under_roc_curve
0.9696111111111111 [1,0.950556,0.998889,0.985,0.973611,0.994722,0.897778,0.975833,0.999722,0.92]
area_under_roc_curve
0.9798055555555557 [1,0.963889,0.997222,0.990833,0.999722,0.991389,0.940278,0.984722,0.988611,0.941389]
area_under_roc_curve
0.9700833333333333 [1,0.946667,0.997222,0.951667,0.951944,0.985833,0.941389,0.989444,1,0.936667]
area_under_roc_curve
0.9778888888888889 [1,0.964722,1,0.995556,0.959444,0.988611,0.939167,0.994444,1,0.936944]
area_under_roc_curve
0.9699444444444444 [1,0.970556,0.994722,0.993333,0.901389,0.979722,0.949722,0.99,0.999444,0.920556]
area_under_roc_curve
0.972861111111111 [1,0.956111,0.996944,0.993889,0.9325,0.994167,0.9125,0.990278,0.999444,0.952778]
area_under_roc_curve
0.9755277777777778 [1,0.968056,1,0.998333,0.978889,0.972778,0.936389,0.997778,1,0.903056]
area_under_roc_curve
0.9640555555555556 [1,0.973611,0.980833,0.988611,0.894444,0.994722,0.937778,0.987222,0.969722,0.913611]
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
0.7605900520955187 [0.974359,0.666667,0.926829,0.756757,0.727273,0.974359,0.275862,0.756757,0.97561,0.571429]
f_measure
0.8122648217313323 [0.974359,0.789474,0.926829,0.9,0.711111,0.878049,0.529412,0.829268,0.95,0.634146]
f_measure
0.764300798774483 [0.974359,0.711111,0.974359,0.769231,0.75,0.918919,0.266667,0.789474,1,0.488889]
f_measure
0.7862851057845386 [0.974359,0.702703,0.974359,0.837209,0.791667,0.95,0.512821,0.829268,0.926829,0.363636]
f_measure
0.7566060492642965 [1,0.648649,0.947368,0.789474,0.680851,0.844444,0.451613,0.782609,1,0.421053]
f_measure
0.7833737526840976 [1,0.820513,0.952381,0.742857,0.666667,0.923077,0.275862,0.952381,1,0.5]
f_measure
0.7579369200038151 [0.974359,0.75,0.918919,0.837209,0.682927,0.820513,0.444444,0.851064,0.97561,0.324324]
f_measure
0.7886198680123772 [1,0.761905,0.923077,0.777778,0.711111,0.894737,0.411765,0.878049,0.95,0.577778]
f_measure
0.794392814795836 [1,0.769231,1,0.947368,0.809524,0.878049,0.228571,0.930233,1,0.380952]
f_measure
0.7351512772941345 [1,0.727273,0.871795,0.8,0.653061,0.974359,0.35,0.809524,0.923077,0.242424]
kappa
0.7444444444444445
kappa
0.7944444444444444
kappa
0.7444444444444445
kappa
0.7722222222222223
kappa
0.7388888888888889
kappa
0.7722222222222223
kappa
0.7388888888888889
kappa
0.7666666666666667
kappa
0.7777777777777778
kappa
0.7111111111111111
kb_relative_information_score
147.73202047061196
kb_relative_information_score
153.21254023798514
kb_relative_information_score
146.66985693059
kb_relative_information_score
150.30357808603614
kb_relative_information_score
147.74561970690647
kb_relative_information_score
155.31969313299015
kb_relative_information_score
149.75933080009807
kb_relative_information_score
154.6100276203126
kb_relative_information_score
157.89428589207512
kb_relative_information_score
144.50656273267188
mean_absolute_error
0.07043467849961814
mean_absolute_error
0.06475640319829008
mean_absolute_error
0.07107587904196835
mean_absolute_error
0.06859642425670934
mean_absolute_error
0.06951982663132529
mean_absolute_error
0.061602603218892306
mean_absolute_error
0.06697823005030852
mean_absolute_error
0.0643076265428113
mean_absolute_error
0.06153335336371787
mean_absolute_error
0.07267834015570658
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
0.7709154434012119 [1,0.548387,0.904762,0.823529,0.666667,1,0.444444,0.823529,0.952381,0.545455]
precision
0.8156666666666667 [1,0.833333,0.904762,0.9,0.64,0.857143,0.642857,0.809524,0.95,0.619048]
precision
0.7745664160401003 [1,0.64,1,0.789474,0.642857,1,0.4,0.833333,1,0.44]
precision
0.7878025971874404 [1,0.764706,1,0.782609,0.678571,0.95,0.526316,0.809524,0.904762,0.461538]
precision
0.7664924051982875 [1,0.705882,1,0.833333,0.592593,0.76,0.636364,0.692308,1,0.444444]
precision
0.7948178378209337 [1,0.842105,0.909091,0.866667,0.529412,0.947368,0.444444,0.909091,1,0.5]
precision
0.7587443495069016 [1,0.75,1,0.782609,0.666667,0.842105,0.5,0.740741,0.952381,0.352941]
precision
0.7961228449912661 [1,0.727273,0.947368,0.875,0.64,0.944444,0.5,0.857143,0.95,0.52]
precision
0.7919212061774991 [1,0.789474,1,1,0.772727,0.857143,0.266667,0.869565,1,0.363636]
precision
0.7424248981508511 [1,0.666667,0.894737,0.933333,0.551724,1,0.35,0.772727,0.947368,0.307692]
predictive_accuracy
0.77
predictive_accuracy
0.815
predictive_accuracy
0.77
predictive_accuracy
0.795
predictive_accuracy
0.765
predictive_accuracy
0.795
predictive_accuracy
0.765
predictive_accuracy
0.79
predictive_accuracy
0.8
predictive_accuracy
0.74
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
0.77 [0.95,0.85,0.95,0.7,0.8,0.95,0.2,0.7,1,0.6]
recall
0.815 [0.95,0.75,0.95,0.9,0.8,0.9,0.45,0.85,0.95,0.65]
recall
0.77 [0.95,0.8,0.95,0.75,0.9,0.85,0.2,0.75,1,0.55]
recall
0.795 [0.95,0.65,0.95,0.9,0.95,0.95,0.5,0.85,0.95,0.3]
recall
0.765 [1,0.6,0.9,0.75,0.8,0.95,0.35,0.9,1,0.4]
recall
0.795 [1,0.8,1,0.65,0.9,0.9,0.2,1,1,0.5]
recall
0.765 [0.95,0.75,0.85,0.9,0.7,0.8,0.4,1,1,0.3]
recall
0.79 [1,0.8,0.9,0.7,0.8,0.85,0.35,0.9,0.95,0.65]
recall
0.8 [1,0.75,1,0.9,0.85,0.9,0.2,1,1,0.4]
recall
0.74 [1,0.8,0.85,0.7,0.8,0.95,0.35,0.85,0.9,0.2]
relative_absolute_error
0.39130376944232337
relative_absolute_error
0.35975779554605636
relative_absolute_error
0.3948659946776024
relative_absolute_error
0.3810912458706079
relative_absolute_error
0.3862212590629187
relative_absolute_error
0.3422366845494021
relative_absolute_error
0.37210127805727
relative_absolute_error
0.3572645919045076
relative_absolute_error
0.3418519631317663
relative_absolute_error
0.40376855642059256
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
0.1780530538519592
root_mean_squared_error
0.16880090245363494
root_mean_squared_error
0.17906294012227594
root_mean_squared_error
0.17309223676760035
root_mean_squared_error
0.18103103647737445
root_mean_squared_error
0.16172973054889783
root_mean_squared_error
0.17501013599914356
root_mean_squared_error
0.16791940886100107
root_mean_squared_error
0.1595164556180183
root_mean_squared_error
0.18359817605048073
root_relative_squared_error
0.593510179506531
root_relative_squared_error
0.5626696748454502
root_relative_squared_error
0.5968764670742535
root_relative_squared_error
0.5769741225586682
root_relative_squared_error
0.6034367882579152
root_relative_squared_error
0.5390991018296598
root_relative_squared_error
0.5833671199971455
root_relative_squared_error
0.5597313628700039
root_relative_squared_error
0.531721518726728
root_relative_squared_error
0.6119939201682694
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
4814.031731002615
usercpu_time_millis
4633.055938000325
usercpu_time_millis
4677.69243400835
usercpu_time_millis
4626.974118000362
usercpu_time_millis
4634.974314001738
usercpu_time_millis
4659.98601600586
usercpu_time_millis
4676.021832012339
usercpu_time_millis
4629.516377986874
usercpu_time_millis
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usercpu_time_millis
4571.62741398497
usercpu_time_millis_testing
68.02967200928833
usercpu_time_millis_testing
69.79148599202745
usercpu_time_millis_testing
68.10613800189458
usercpu_time_millis_testing
68.74169799266383
usercpu_time_millis_testing
68.06866799888667
usercpu_time_millis_testing
68.37817400810309
usercpu_time_millis_testing
67.90387000364717
usercpu_time_millis_testing
68.026334993192
usercpu_time_millis_testing
68.27594700735062
usercpu_time_millis_testing
67.83799499680754
usercpu_time_millis_training
4746.0020589933265
usercpu_time_millis_training
4563.264452008298
usercpu_time_millis_training
4609.586296006455
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
4608.117962008691
usercpu_time_millis_training
4561.490042993682
usercpu_time_millis_training
4575.080116002937
usercpu_time_millis_training
4503.789418988163