8906633
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)
6844080
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
0.22570971546367835
7650
cache_size
200
7650
class_weight
null
7650
coef0
0.14262702122190707
7650
decision_function_shape
"ovr"
7650
degree
3
7650
gamma
0.00018087572024256518
7650
kernel
"rbf"
7650
max_iter
-1
7650
probability
false
7650
random_state
1
7650
shrinking
false
7650
tol
3.719701457464538e-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
18728998
description
https://api.openml.org/data/download/18728998/description.xml
-1
18728999
predictions
https://api.openml.org/data/download/18728999/predictions.arff
area_under_roc_curve
0.8325 [0.93,0.828611,0.928889,0.822222,0.742778,0.8975,0.647222,0.84,0.973056,0.714722]
average_cost
0
f_measure
0.6981561918963897 [0.924731,0.595573,0.830986,0.764706,0.60119,0.817043,0.394118,0.744681,0.857768,0.450766]
kappa
0.665
kb_relative_information_score
1369.4082331918908
mean_absolute_error
0.06030000000000059
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7209266402345947 [1,0.498316,0.783186,0.928571,0.742647,0.819095,0.478571,0.795455,0.762646,0.400778]
predictive_accuracy
0.6984999999999999
prior_entropy
3.321928094887362
recall
0.6985 [0.86,0.74,0.885,0.65,0.505,0.815,0.335,0.7,0.98,0.515]
relative_absolute_error
0.33499999999999297
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.2455605831561747
root_relative_squared_error
0.8185352771872364
total_cost
0
area_under_roc_curve
0.811111111111111 [0.9,0.836111,0.916667,0.85,0.797222,0.969444,0.538889,0.719444,0.977778,0.605556]
area_under_roc_curve
0.8388888888888889 [0.95,0.858333,0.936111,0.85,0.7,0.888889,0.675,0.788889,0.955556,0.786111]
area_under_roc_curve
0.8250000000000002 [0.9,0.819444,0.869444,0.794444,0.836111,0.844444,0.658333,0.819444,0.986111,0.722222]
area_under_roc_curve
0.8222222222222222 [0.875,0.733333,0.958333,0.869444,0.736111,0.861111,0.677778,0.836111,0.952778,0.722222]
area_under_roc_curve
0.8222222222222224 [0.975,0.730556,0.891667,0.769444,0.727778,0.883333,0.658333,0.908333,0.986111,0.691667]
area_under_roc_curve
0.8444444444444444 [0.975,0.858333,0.991667,0.844444,0.666667,0.927778,0.611111,0.888889,0.991667,0.688889]
area_under_roc_curve
0.8583333333333333 [0.975,0.816667,0.933333,0.922222,0.741667,0.816667,0.736111,0.916667,0.986111,0.738889]
area_under_roc_curve
0.8722222222222221 [0.975,0.891667,0.919444,0.872222,0.719444,0.919444,0.730556,0.891667,0.988889,0.813889]
area_under_roc_curve
0.825 [0.9,0.85,0.966667,0.7,0.686111,0.913889,0.588889,0.841667,0.986111,0.816667]
area_under_roc_curve
0.8055555555555556 [0.875,0.891667,0.905556,0.75,0.816667,0.95,0.597222,0.788889,0.919444,0.561111]
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
0.6565124641182797 [0.888889,0.612245,0.72,0.823529,0.727273,0.926829,0.166667,0.580645,0.833333,0.285714]
f_measure
0.7085364231946187 [0.947368,0.627451,0.837209,0.823529,0.571429,0.8,0.432432,0.666667,0.826087,0.553191]
f_measure
0.6942751549810374 [0.888889,0.545455,0.810811,0.705882,0.717949,0.777778,0.424242,0.742857,0.888889,0.44]
f_measure
0.6782991354082936 [0.857143,0.478261,0.844444,0.810811,0.571429,0.75,0.444444,0.717949,0.808511,0.5]
f_measure
0.6760697497093706 [0.974359,0.468085,0.820513,0.666667,0.526316,0.761905,0.424242,0.790698,0.888889,0.439024]
f_measure
0.7051232973031581 [0.974359,0.627451,0.930233,0.777778,0.466667,0.782609,0.333333,0.8,0.930233,0.428571]
f_measure
0.7434573575420258 [0.974359,0.608696,0.818182,0.894737,0.606061,0.722222,0.571429,0.85,0.888889,0.5]
f_measure
0.7691693714588116 [0.974359,0.693878,0.871795,0.833333,0.580645,0.871795,0.540541,0.820513,0.909091,0.595745]
f_measure
0.6738862952277587 [0.888889,0.592593,0.904762,0.571429,0.484848,0.829268,0.285714,0.756757,0.888889,0.535714]
f_measure
0.6555413154097363 [0.857143,0.693878,0.772727,0.666667,0.722222,0.947368,0.285714,0.666667,0.734694,0.208333]
kappa
0.6222222222222222
kappa
0.6777777777777777
kappa
0.65
kappa
0.6444444444444445
kappa
0.6444444444444445
kappa
0.6888888888888889
kappa
0.7166666666666667
kappa
0.7444444444444445
kappa
0.65
kappa
0.6111111111111112
kb_relative_information_score
128.88849064187437
kb_relative_information_score
139.34606554748115
kb_relative_information_score
134.11727809467777
kb_relative_information_score
133.0715206041171
kb_relative_information_score
133.0715206041171
kb_relative_information_score
141.4375805286025
kb_relative_information_score
146.66636798140587
kb_relative_information_score
151.89515543420927
kb_relative_information_score
134.11727809467777
kb_relative_information_score
126.79697566075303
mean_absolute_error
0.06799999999999992
mean_absolute_error
0.057999999999999954
mean_absolute_error
0.06299999999999993
mean_absolute_error
0.06399999999999993
mean_absolute_error
0.06399999999999993
mean_absolute_error
0.05599999999999996
mean_absolute_error
0.050999999999999976
mean_absolute_error
0.046
mean_absolute_error
0.06299999999999993
mean_absolute_error
0.06999999999999991
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
0.6937775012343979 [1,0.517241,0.6,1,0.923077,0.904762,0.1875,0.818182,0.714286,0.272727]
precision
0.7531576675455068 [1,0.516129,0.782609,1,1,0.8,0.470588,0.75,0.730769,0.481481]
precision
0.7351704203948788 [1,0.428571,0.882353,0.857143,0.736842,0.875,0.538462,0.866667,0.8,0.366667]
precision
0.6922642339886922 [1,0.423077,0.76,0.882353,0.666667,0.75,0.5,0.736842,0.703704,0.5]
precision
0.6884658201363009 [1,0.407407,0.842105,0.846154,0.555556,0.727273,0.538462,0.73913,0.8,0.428571]
precision
0.7231658068439275 [1,0.516129,0.869565,0.875,0.7,0.692308,0.5,0.8,0.869565,0.409091]
precision
0.7589636752136751 [1,0.538462,0.75,0.944444,0.769231,0.8125,0.666667,0.85,0.8,0.458333]
precision
0.7913554808071462 [1,0.586207,0.894737,0.9375,0.818182,0.894737,0.588235,0.842105,0.833333,0.518519]
precision
0.7299329102270279 [1,0.470588,0.863636,1,0.615385,0.809524,0.5,0.823529,0.8,0.416667]
precision
0.6989634646962234 [1,0.586207,0.708333,1,0.8125,1,0.333333,0.75,0.62069,0.178571]
predictive_accuracy
0.66
predictive_accuracy
0.71
predictive_accuracy
0.685
predictive_accuracy
0.68
predictive_accuracy
0.68
predictive_accuracy
0.72
predictive_accuracy
0.745
predictive_accuracy
0.77
predictive_accuracy
0.685
predictive_accuracy
0.65
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
0.66 [0.8,0.75,0.9,0.7,0.6,0.95,0.15,0.45,1,0.3]
recall
0.71 [0.9,0.8,0.9,0.7,0.4,0.8,0.4,0.6,0.95,0.65]
recall
0.685 [0.8,0.75,0.75,0.6,0.7,0.7,0.35,0.65,1,0.55]
recall
0.68 [0.75,0.55,0.95,0.75,0.5,0.75,0.4,0.7,0.95,0.5]
recall
0.68 [0.95,0.55,0.8,0.55,0.5,0.8,0.35,0.85,1,0.45]
recall
0.72 [0.95,0.8,1,0.7,0.35,0.9,0.25,0.8,1,0.45]
recall
0.745 [0.95,0.7,0.9,0.85,0.5,0.65,0.5,0.85,1,0.55]
recall
0.77 [0.95,0.85,0.85,0.75,0.45,0.85,0.5,0.8,1,0.7]
recall
0.685 [0.8,0.8,0.95,0.4,0.4,0.85,0.2,0.7,1,0.75]
recall
0.65 [0.75,0.85,0.85,0.5,0.65,0.9,0.25,0.6,0.9,0.25]
relative_absolute_error
0.3777777777777777
relative_absolute_error
0.32222222222222235
relative_absolute_error
0.35
relative_absolute_error
0.35555555555555557
relative_absolute_error
0.35555555555555557
relative_absolute_error
0.3111111111111112
relative_absolute_error
0.28333333333333355
relative_absolute_error
0.2555555555555558
relative_absolute_error
0.35
relative_absolute_error
0.38888888888888884
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
0.2607680962081058
root_mean_squared_error
0.2408318915758458
root_mean_squared_error
0.25099800796022254
root_mean_squared_error
0.2529822128134702
root_mean_squared_error
0.2529822128134702
root_mean_squared_error
0.23664319132398456
root_mean_squared_error
0.22583179581272425
root_mean_squared_error
0.21447610589527216
root_mean_squared_error
0.25099800796022254
root_mean_squared_error
0.26457513110645886
root_relative_squared_error
0.8692269873603533
root_relative_squared_error
0.8027729719194865
root_relative_squared_error
0.8366600265340756
root_relative_squared_error
0.8432740427115679
root_relative_squared_error
0.8432740427115679
root_relative_squared_error
0.7888106377466158
root_relative_squared_error
0.7527726527090813
root_relative_squared_error
0.714920352984241
root_relative_squared_error
0.8366600265340756
root_relative_squared_error
0.8819171036881969
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
3079.572024999834
usercpu_time_millis
3799.206600000616
usercpu_time_millis
3768.1705370005147
usercpu_time_millis
3808.315537999988
usercpu_time_millis
3794.3811240002105
usercpu_time_millis
3830.329469999924
usercpu_time_millis
3799.8374839999087
usercpu_time_millis
3888.933800000814
usercpu_time_millis
3628.288786999292
usercpu_time_millis
3840.8658640000795
usercpu_time_millis_testing
56.87108500023896
usercpu_time_millis_testing
55.06630000036239
usercpu_time_millis_testing
52.012566000485094
usercpu_time_millis_testing
54.14811799982999
usercpu_time_millis_testing
54.07792999994854
usercpu_time_millis_testing
54.5326669998758
usercpu_time_millis_testing
55.21647200021107
usercpu_time_millis_testing
51.83078400023078
usercpu_time_millis_testing
49.939304999497836
usercpu_time_millis_testing
54.33840000023338
usercpu_time_millis_training
3022.700939999595
usercpu_time_millis_training
3744.140300000254
usercpu_time_millis_training
3716.1579710000296
usercpu_time_millis_training
3754.167420000158
usercpu_time_millis_training
3740.303194000262
usercpu_time_millis_training
3775.7968030000484
usercpu_time_millis_training
3744.6210119996977
usercpu_time_millis_training
3837.103016000583
usercpu_time_millis_training
3578.349481999794
usercpu_time_millis_training
3786.527463999846