4977071
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)
3012468
axis
0
6947
categorical_features
[]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"mean"
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
1791.6818700934687
6953
cache_size
200
6953
class_weight
null
6953
coef0
0.0
6953
decision_function_shape
null
6953
degree
3
6953
gamma
0.000328941910358652
6953
kernel
"rbf"
6953
max_iter
-1
6953
probability
true
6953
random_state
10638
6953
shrinking
false
6953
tol
0.04424005017833882
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
10888039
description
https://api.openml.org/data/download/10888039/description.xml
-1
10888040
predictions
https://api.openml.org/data/download/10888040/predictions.arff
area_under_roc_curve
0.9830208333333333 [1,0.970425,0.997117,0.994825,0.976661,0.995656,0.953647,0.991575,0.999406,0.950897]
average_cost
0
f_measure
0.8339037613101201 [0.997506,0.776942,0.952618,0.894602,0.815,0.927681,0.560411,0.88361,0.979798,0.550868]
kappa
0.8161111111111111
kb_relative_information_score
1669.9654413234978
mean_absolute_error
0.04803969348305379
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8340118643085475 [0.995025,0.778894,0.950249,0.920635,0.815,0.925373,0.57672,0.841629,0.989796,0.546798]
predictive_accuracy
0.8345
prior_entropy
3.321928094887362
recall
0.8345 [1,0.775,0.955,0.87,0.815,0.93,0.545,0.93,0.97,0.555]
relative_absolute_error
0.26688718601695727
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.1474799638620748
root_relative_squared_error
0.49159987954024176
total_cost
0
area_under_roc_curve
0.9822222222222223 [1,0.983056,0.999167,0.998889,0.975556,1,0.929167,0.993056,1,0.943333]
area_under_roc_curve
0.9832222222222222 [1,0.967778,0.998889,0.994722,0.961389,0.993611,0.963889,0.989722,1,0.962222]
area_under_roc_curve
0.9806944444444445 [1,0.972778,1,0.983611,0.9825,0.996667,0.921944,0.984444,1,0.965]
area_under_roc_curve
0.9891388888888889 [1,0.982222,0.998333,0.999722,0.9925,0.998056,0.972778,0.993889,0.998333,0.955556]
area_under_roc_curve
0.9824722222222223 [1,0.968056,0.998056,0.984722,0.976111,0.993333,0.961667,0.994444,1,0.948333]
area_under_roc_curve
0.9855277777777778 [1,0.968611,0.998611,0.997778,0.985,0.9975,0.963611,0.9925,1,0.951667]
area_under_roc_curve
0.9868888888888889 [1,0.980833,0.993611,0.998889,0.985556,0.993056,0.973056,0.988056,1,0.955833]
area_under_roc_curve
0.9840833333333333 [1,0.9375,0.994444,0.996111,0.978611,0.997778,0.9675,0.994722,0.998333,0.975833]
area_under_roc_curve
0.9831111111111112 [1,0.976944,1,0.998611,0.983056,0.985556,0.958611,0.995833,1,0.9325]
area_under_roc_curve
0.9788611111111112 [1,0.980278,0.990556,0.9975,0.961111,1,0.94,0.990278,0.996389,0.9325]
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
0.7975575982683109 [1,0.782609,0.95,0.888889,0.837209,1,0.315789,0.842105,1,0.358974]
f_measure
0.8356983174153367 [1,0.8,0.95,0.871795,0.789474,0.9,0.634146,0.837209,0.974359,0.6]
f_measure
0.8269993185109464 [1,0.75,1,0.820513,0.837209,0.857143,0.514286,0.871795,1,0.619048]
f_measure
0.8447864894089149 [1,0.789474,0.974359,0.952381,0.826087,0.923077,0.594595,0.842105,0.974359,0.571429]
f_measure
0.8111649092136897 [1,0.702703,0.974359,0.85,0.769231,0.904762,0.540541,0.844444,0.97561,0.55]
f_measure
0.8432621721453556 [1,0.820513,0.952381,0.894737,0.820513,0.926829,0.590909,0.952381,0.974359,0.5]
f_measure
0.8353982511693064 [1,0.769231,0.947368,0.9,0.789474,0.926829,0.666667,0.869565,1,0.484848]
f_measure
0.8547347591044041 [1,0.761905,0.95,0.923077,0.810811,0.923077,0.666667,0.930233,0.95,0.631579]
f_measure
0.8679135811039279 [1,0.810811,0.97561,0.97561,0.871795,0.947368,0.529412,0.930233,1,0.638298]
f_measure
0.8112414394409149 [0.97561,0.780488,0.857143,0.857143,0.789474,0.974359,0.5,0.909091,0.947368,0.521739]
kappa
0.7777777777777778
kappa
0.8166666666666667
kappa
0.8111111111111111
kappa
0.8277777777777777
kappa
0.7944444444444444
kappa
0.8277777777777777
kappa
0.8222222222222222
kappa
0.8388888888888889
kappa
0.8555555555555555
kappa
0.788888888888889
kb_relative_information_score
167.62228606420888
kb_relative_information_score
165.55663397836122
kb_relative_information_score
164.87721507679052
kb_relative_information_score
168.97102777899684
kb_relative_information_score
164.18794586910283
kb_relative_information_score
169.86793317025516
kb_relative_information_score
168.02233971250385
kb_relative_information_score
167.81153784942103
kb_relative_information_score
169.69612983354648
kb_relative_information_score
163.35239199031292
mean_absolute_error
0.047647485271673916
mean_absolute_error
0.049824075871096614
mean_absolute_error
0.049870903852803704
mean_absolute_error
0.04591391370230644
mean_absolute_error
0.04994046580541002
mean_absolute_error
0.04522582423281297
mean_absolute_error
0.046762969276656456
mean_absolute_error
0.047731037710484696
mean_absolute_error
0.045232362122640354
mean_absolute_error
0.05224789698465291
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
0.8015559662813668 [1,0.692308,0.95,1,0.782609,1,0.333333,0.888889,1,0.368421]
precision
0.8379726490138389 [1,0.8,0.95,0.894737,0.833333,0.9,0.619048,0.782609,1,0.6]
precision
0.8278541710006241 [1,0.75,1,0.842105,0.782609,0.818182,0.6,0.894737,1,0.590909]
precision
0.850196415211895 [1,0.833333,1,0.909091,0.730769,0.947368,0.647059,0.888889,1,0.545455]
precision
0.8118432176698431 [1,0.764706,1,0.85,0.789474,0.863636,0.588235,0.76,0.952381,0.55]
precision
0.8455765360370623 [1,0.842105,0.909091,0.944444,0.842105,0.904762,0.541667,0.909091,1,0.5625]
precision
0.8412184306921149 [1,0.789474,1,0.9,0.833333,0.904762,0.6,0.769231,1,0.615385]
precision
0.8576958030976068 [1,0.727273,0.95,0.947368,0.882353,0.947368,0.636364,0.869565,0.95,0.666667]
precision
0.8749829603847641 [1,0.882353,0.952381,0.952381,0.894737,1,0.642857,0.869565,1,0.555556]
precision
0.8223172660672661 [0.952381,0.761905,0.818182,1,0.833333,1,0.5625,0.833333,1,0.461538]
predictive_accuracy
0.8
predictive_accuracy
0.835
predictive_accuracy
0.83
predictive_accuracy
0.845
predictive_accuracy
0.815
predictive_accuracy
0.845
predictive_accuracy
0.84
predictive_accuracy
0.855
predictive_accuracy
0.87
predictive_accuracy
0.81
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
0.8 [1,0.9,0.95,0.8,0.9,1,0.3,0.8,1,0.35]
recall
0.835 [1,0.8,0.95,0.85,0.75,0.9,0.65,0.9,0.95,0.6]
recall
0.83 [1,0.75,1,0.8,0.9,0.9,0.45,0.85,1,0.65]
recall
0.845 [1,0.75,0.95,1,0.95,0.9,0.55,0.8,0.95,0.6]
recall
0.815 [1,0.65,0.95,0.85,0.75,0.95,0.5,0.95,1,0.55]
recall
0.845 [1,0.8,1,0.85,0.8,0.95,0.65,1,0.95,0.45]
recall
0.84 [1,0.75,0.9,0.9,0.75,0.95,0.75,1,1,0.4]
recall
0.855 [1,0.8,0.95,0.9,0.75,0.9,0.7,1,0.95,0.6]
recall
0.87 [1,0.75,1,1,0.85,0.9,0.45,1,1,0.75]
recall
0.81 [1,0.8,0.9,0.75,0.75,0.95,0.45,1,0.9,0.6]
relative_absolute_error
0.26470825150929983
relative_absolute_error
0.27680042150609263
relative_absolute_error
0.2770605769600209
relative_absolute_error
0.2550772983461472
relative_absolute_error
0.2774470322522782
relative_absolute_error
0.2512545790711835
relative_absolute_error
0.25979427375920283
relative_absolute_error
0.2651724317249153
relative_absolute_error
0.2512909006813356
relative_absolute_error
0.29026609435918316
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
0.14625247519782447
root_mean_squared_error
0.15344012013535405
root_mean_squared_error
0.15079484820881922
root_mean_squared_error
0.14297837931425775
root_mean_squared_error
0.1558499490524143
root_mean_squared_error
0.13998817907551953
root_mean_squared_error
0.14366098861637408
root_mean_squared_error
0.14627173564299817
root_mean_squared_error
0.13861985326606438
root_mean_squared_error
0.1557323868789647
root_relative_squared_error
0.4875082506594152
root_relative_squared_error
0.5114670671178472
root_relative_squared_error
0.5026494940293977
root_relative_squared_error
0.47659459771419277
root_relative_squared_error
0.5194998301747147
root_relative_squared_error
0.4666272635850654
root_relative_squared_error
0.47886996205458054
root_relative_squared_error
0.4875724521433275
root_relative_squared_error
0.4620661775535482
root_relative_squared_error
0.519107956263216
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
10178.426677999993
usercpu_time_millis
9502.746362000004
usercpu_time_millis
8369.496820999997
usercpu_time_millis
8367.852129999996
usercpu_time_millis
8570.850090999991
usercpu_time_millis
10386.535205000002
usercpu_time_millis
10580.467202000009
usercpu_time_millis
10440.828795000016
usercpu_time_millis
10681.566620000012
usercpu_time_millis
10334.784600999996
usercpu_time_millis_testing
101.53653199999724
usercpu_time_millis_testing
87.21533599999987
usercpu_time_millis_testing
83.47885100000241
usercpu_time_millis_testing
79.32153299999811
usercpu_time_millis_testing
105.60003999999878
usercpu_time_millis_testing
105.66933200000506
usercpu_time_millis_testing
103.78206500000431
usercpu_time_millis_testing
103.16196100001207
usercpu_time_millis_testing
105.18134900000575
usercpu_time_millis_testing
106.49690600000383
usercpu_time_millis_training
10076.890145999996
usercpu_time_millis_training
9415.531026000004
usercpu_time_millis_training
8286.017969999995
usercpu_time_millis_training
8288.530596999997
usercpu_time_millis_training
8465.250050999992
usercpu_time_millis_training
10280.865872999997
usercpu_time_millis_training
10476.685137000004
usercpu_time_millis_training
10337.666834000003
usercpu_time_millis_training
10576.385271000006
usercpu_time_millis_training
10228.287694999992