8905792
1935
Hilde Weerts
14
Supervised Classification
8317
sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklearn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.svm.classes.SVC)(1)
6843341
categorical_features
[]
7644
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
7644
handle_unknown
"ignore"
7644
n_values
"auto"
7644
sparse
true
7644
threshold
0.0
7645
copy
true
7646
with_mean
false
7646
with_std
true
7646
C
0.45153462497859714
7650
cache_size
200
7650
class_weight
null
7650
coef0
0.19264542635407067
7650
decision_function_shape
"ovr"
7650
degree
3
7650
gamma
0.0003376035451882729
7650
kernel
"rbf"
7650
max_iter
-1
7650
probability
false
7650
random_state
1
7650
shrinking
false
7650
tol
5.896328964341819e-05
7650
verbose
false
7650
axis
0
8316
categorical_features
[]
8316
copy
true
8316
fill_empty
0
8316
missing_values
"NaN"
8316
strategy
"mean"
8316
strategy_nominal
"most_frequent"
8316
verbose
0
8316
memory
null
8317
openml-python
Sklearn_0.19.1.
study_98
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
18727328
description
https://api.openml.org/data/download/18727328/description.xml
-1
18727329
predictions
https://api.openml.org/data/download/18727329/predictions.arff
area_under_roc_curve
0.8480555555555555 [0.96,0.840833,0.931944,0.845556,0.766389,0.92,0.649444,0.842778,0.981111,0.7425]
average_cost
0
f_measure
0.7269580311256209 [0.958333,0.634249,0.869136,0.786517,0.632479,0.843137,0.397661,0.75,0.915888,0.48218]
kappa
0.6961111111111111
kb_relative_information_score
1427.9706526632829
mean_absolute_error
0.054700000000000505
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7422266627677367 [1,0.549451,0.858537,0.897436,0.735099,0.826923,0.478873,0.801136,0.859649,0.415162]
predictive_accuracy
0.7265
prior_entropy
3.321928094887362
recall
0.7265 [0.92,0.75,0.88,0.7,0.555,0.86,0.34,0.705,0.98,0.575]
relative_absolute_error
0.3038888888888823
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.23388031127053108
root_relative_squared_error
0.779601037568425
total_cost
0
area_under_roc_curve
0.825 [0.95,0.863889,0.9,0.872222,0.794444,0.969444,0.538889,0.741667,0.991667,0.627778]
area_under_roc_curve
0.8527777777777777 [1,0.886111,0.936111,0.875,0.7,0.913889,0.672222,0.791667,0.969444,0.783333]
area_under_roc_curve
0.8277777777777778 [0.9,0.819444,0.894444,0.794444,0.786111,0.863889,0.661111,0.794444,0.991667,0.772222]
area_under_roc_curve
0.8583333333333333 [0.925,0.75,0.969444,0.894444,0.833333,0.938889,0.702778,0.841667,0.958333,0.769444]
area_under_roc_curve
0.838888888888889 [0.975,0.741667,0.894444,0.816667,0.75,0.933333,0.658333,0.908333,0.994444,0.716667]
area_under_roc_curve
0.8583333333333333 [0.975,0.869444,0.994444,0.841667,0.741667,0.933333,0.608333,0.888889,0.991667,0.738889]
area_under_roc_curve
0.8722222222222221 [0.975,0.85,0.922222,0.916667,0.763889,0.841667,0.736111,0.936111,0.994444,0.786111]
area_under_roc_curve
0.8722222222222221 [0.975,0.866667,0.919444,0.869444,0.744444,0.916667,0.730556,0.891667,0.994444,0.813889]
area_under_roc_curve
0.8416666666666667 [0.925,0.863889,0.972222,0.775,0.733333,0.913889,0.588889,0.844444,0.988889,0.811111]
area_under_roc_curve
0.8333333333333333 [1,0.897222,0.916667,0.8,0.816667,0.975,0.597222,0.788889,0.936111,0.605556]
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
0.6826746683940854 [0.947368,0.653061,0.73913,0.833333,0.705882,0.926829,0.166667,0.606061,0.930233,0.318182]
f_measure
0.7336978542499186 [1,0.666667,0.837209,0.857143,0.571429,0.829268,0.421053,0.685714,0.926829,0.541667]
f_measure
0.6973825379402635 [0.888889,0.545455,0.842105,0.705882,0.648649,0.769231,0.4375,0.705882,0.930233,0.5]
f_measure
0.7440823530083762 [0.918919,0.55,0.926829,0.842105,0.7,0.857143,0.486486,0.756757,0.844444,0.55814]
f_measure
0.7062007712130111 [0.974359,0.511628,0.842105,0.722222,0.55,0.818182,0.424242,0.790698,0.952381,0.47619]
f_measure
0.7341403374869719 [0.974359,0.680851,0.952381,0.756757,0.606061,0.818182,0.322581,0.8,0.930233,0.5]
f_measure
0.7700452499107411 [0.974359,0.681818,0.894737,0.85,0.628571,0.756757,0.571429,0.837209,0.952381,0.553191]
f_measure
0.77078103179167 [0.974359,0.666667,0.871795,0.810811,0.625,0.85,0.540541,0.820513,0.952381,0.595745]
f_measure
0.7106305762895353 [0.918919,0.653061,0.95,0.709677,0.555556,0.829268,0.285714,0.777778,0.909091,0.517241]
f_measure
0.7078806475837648 [1,0.723404,0.85,0.75,0.722222,0.974359,0.285714,0.666667,0.837209,0.269231]
kappa
0.65
kappa
0.7055555555555556
kappa
0.6555555555555556
kappa
0.7166666666666667
kappa
0.6777777777777777
kappa
0.7166666666666667
kappa
0.7444444444444445
kappa
0.7444444444444445
kappa
0.6833333333333333
kappa
0.6666666666666666
kb_relative_information_score
134.11727809467777
kb_relative_information_score
144.57485300028452
kb_relative_information_score
135.16303558523842
kb_relative_information_score
146.66636798140587
kb_relative_information_score
139.34606554748115
kb_relative_information_score
146.66636798140587
kb_relative_information_score
151.89515543420927
kb_relative_information_score
151.89515543420927
kb_relative_information_score
140.39182303804182
kb_relative_information_score
137.2545505663598
mean_absolute_error
0.06299999999999993
mean_absolute_error
0.05299999999999997
mean_absolute_error
0.06199999999999994
mean_absolute_error
0.050999999999999976
mean_absolute_error
0.057999999999999954
mean_absolute_error
0.050999999999999976
mean_absolute_error
0.046
mean_absolute_error
0.046
mean_absolute_error
0.05699999999999996
mean_absolute_error
0.05999999999999995
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
0.7022937706970691 [1,0.551724,0.653846,0.9375,0.857143,0.904762,0.1875,0.769231,0.869565,0.291667]
precision
0.7754011665442239 [1,0.548387,0.782609,1,1,0.809524,0.444444,0.8,0.904762,0.464286]
precision
0.7386250619622372 [1,0.428571,0.888889,0.857143,0.705882,0.789474,0.583333,0.857143,0.869565,0.40625]
precision
0.7496512918737983 [1,0.55,0.904762,0.888889,0.7,0.818182,0.529412,0.823529,0.76,0.521739]
precision
0.7120878095334617 [1,0.478261,0.888889,0.8125,0.55,0.75,0.538462,0.73913,0.909091,0.454545]
precision
0.7426887687949069 [1,0.592593,0.909091,0.823529,0.769231,0.75,0.454545,0.8,0.869565,0.458333]
precision
0.7816154942433714 [1,0.625,0.944444,0.85,0.733333,0.823529,0.666667,0.782609,0.909091,0.481481]
precision
0.7889801672928608 [1,0.571429,0.894737,0.882353,0.833333,0.85,0.588235,0.842105,0.909091,0.518519]
precision
0.7539318122893441 [1,0.551724,0.95,1,0.625,0.809524,0.5,0.875,0.833333,0.394737]
precision
0.7376821658615137 [1,0.62963,0.85,1,0.8125,1,0.333333,0.75,0.782609,0.21875]
predictive_accuracy
0.685
predictive_accuracy
0.735
predictive_accuracy
0.69
predictive_accuracy
0.745
predictive_accuracy
0.71
predictive_accuracy
0.745
predictive_accuracy
0.77
predictive_accuracy
0.77
predictive_accuracy
0.715
predictive_accuracy
0.7
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
0.685 [0.9,0.8,0.85,0.75,0.6,0.95,0.15,0.5,1,0.35]
recall
0.735 [1,0.85,0.9,0.75,0.4,0.85,0.4,0.6,0.95,0.65]
recall
0.69 [0.8,0.75,0.8,0.6,0.6,0.75,0.35,0.6,1,0.65]
recall
0.745 [0.85,0.55,0.95,0.8,0.7,0.9,0.45,0.7,0.95,0.6]
recall
0.71 [0.95,0.55,0.8,0.65,0.55,0.9,0.35,0.85,1,0.5]
recall
0.745 [0.95,0.8,1,0.7,0.5,0.9,0.25,0.8,1,0.55]
recall
0.77 [0.95,0.75,0.85,0.85,0.55,0.7,0.5,0.9,1,0.65]
recall
0.77 [0.95,0.8,0.85,0.75,0.5,0.85,0.5,0.8,1,0.7]
recall
0.715 [0.85,0.8,0.95,0.55,0.5,0.85,0.2,0.7,1,0.75]
recall
0.7 [1,0.85,0.85,0.6,0.65,0.95,0.25,0.6,0.9,0.35]
relative_absolute_error
0.35
relative_absolute_error
0.2944444444444446
relative_absolute_error
0.3444444444444445
relative_absolute_error
0.28333333333333355
relative_absolute_error
0.32222222222222235
relative_absolute_error
0.28333333333333355
relative_absolute_error
0.2555555555555558
relative_absolute_error
0.2555555555555558
relative_absolute_error
0.31666666666666676
relative_absolute_error
0.3333333333333334
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
0.25099800796022254
root_mean_squared_error
0.2302172886644267
root_mean_squared_error
0.2489979919597745
root_mean_squared_error
0.22583179581272425
root_mean_squared_error
0.2408318915758458
root_mean_squared_error
0.22583179581272425
root_mean_squared_error
0.21447610589527216
root_mean_squared_error
0.21447610589527216
root_mean_squared_error
0.23874672772626634
root_mean_squared_error
0.24494897427831772
root_relative_squared_error
0.8366600265340756
root_relative_squared_error
0.7673909622147562
root_relative_squared_error
0.8299933065325821
root_relative_squared_error
0.7527726527090813
root_relative_squared_error
0.8027729719194865
root_relative_squared_error
0.7527726527090813
root_relative_squared_error
0.714920352984241
root_relative_squared_error
0.714920352984241
root_relative_squared_error
0.7958224257542216
root_relative_squared_error
0.8164965809277261
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
3485.1191370000834
usercpu_time_millis
3478.9438789998712
usercpu_time_millis
3401.5005699998255
usercpu_time_millis
3366.1885249998704
usercpu_time_millis
3360.5251139999837
usercpu_time_millis
3331.418130000202
usercpu_time_millis
3363.1647919996794
usercpu_time_millis
2792.099791000055
usercpu_time_millis
2715.607256999874
usercpu_time_millis
2626.284177000116
usercpu_time_millis_testing
58.5942420000265
usercpu_time_millis_testing
52.49413399997138
usercpu_time_millis_testing
52.517447999889555
usercpu_time_millis_testing
54.1534059998412
usercpu_time_millis_testing
52.69146099999489
usercpu_time_millis_testing
52.63965000017379
usercpu_time_millis_testing
44.406271999832825
usercpu_time_millis_testing
43.867029000011826
usercpu_time_millis_testing
44.84226499994293
usercpu_time_millis_testing
44.343533000073876
usercpu_time_millis_training
3426.524895000057
usercpu_time_millis_training
3426.4497449999
usercpu_time_millis_training
3348.983121999936
usercpu_time_millis_training
3312.035119000029
usercpu_time_millis_training
3307.8336529999888
usercpu_time_millis_training
3278.778480000028
usercpu_time_millis_training
3318.7585199998466
usercpu_time_millis_training
2748.2327620000433
usercpu_time_millis_training
2670.764991999931
usercpu_time_millis_training
2581.940644000042