8906298
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)
6843786
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
0.0980382771223791
7650
cache_size
200
7650
class_weight
null
7650
coef0
0.08247444707113427
7650
decision_function_shape
"ovr"
7650
degree
3
7650
gamma
8.539671190465188e-05
7650
kernel
"rbf"
7650
max_iter
-1
7650
probability
false
7650
random_state
1
7650
shrinking
true
7650
tol
2.1374589768244203e-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
18728332
description
https://api.openml.org/data/download/18728332/description.xml
-1
18728333
predictions
https://api.openml.org/data/download/18728333/predictions.arff
area_under_roc_curve
0.8308333333333333 [0.929722,0.8275,0.929167,0.821944,0.731111,0.895278,0.647222,0.840278,0.971944,0.714167]
average_cost
0
f_measure
0.6949873090290374 [0.922252,0.590818,0.832941,0.762463,0.585366,0.816121,0.394118,0.746667,0.850325,0.448802]
kappa
0.6616666666666667
kb_relative_information_score
1363.1336882485268
mean_absolute_error
0.06090000000000059
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.719411419364983 [0.99422,0.491694,0.786667,0.921986,0.75,0.822335,0.478571,0.8,0.750958,0.397683]
predictive_accuracy
0.6955
prior_entropy
3.321928094887362
recall
0.6955 [0.86,0.74,0.885,0.65,0.48,0.81,0.335,0.7,0.98,0.515]
relative_absolute_error
0.33833333333332616
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.24677925358506253
root_relative_squared_error
0.8225975119501959
total_cost
0
area_under_roc_curve
0.8111111111111111 [0.9,0.838889,0.916667,0.85,0.797222,0.969444,0.538889,0.719444,0.975,0.605556]
area_under_roc_curve
0.838888888888889 [0.95,0.855556,0.936111,0.85,0.7,0.891667,0.675,0.788889,0.955556,0.786111]
area_under_roc_curve
0.8222222222222223 [0.9,0.816667,0.869444,0.794444,0.811111,0.844444,0.658333,0.819444,0.986111,0.722222]
area_under_roc_curve
0.8250000000000002 [0.875,0.758333,0.961111,0.869444,0.736111,0.861111,0.677778,0.838889,0.95,0.722222]
area_under_roc_curve
0.8166666666666668 [0.972222,0.725,0.891667,0.769444,0.683333,0.883333,0.658333,0.908333,0.986111,0.688889]
area_under_roc_curve
0.838888888888889 [0.975,0.833333,0.991667,0.844444,0.641667,0.927778,0.611111,0.888889,0.988889,0.686111]
area_under_roc_curve
0.8555555555555554 [0.975,0.813889,0.933333,0.922222,0.744444,0.791667,0.736111,0.916667,0.983333,0.738889]
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
0.8027777777777777 [0.875,0.891667,0.905556,0.747222,0.791667,0.95,0.597222,0.788889,0.919444,0.561111]
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
0.6560872940502525 [0.888889,0.625,0.72,0.823529,0.727273,0.926829,0.166667,0.580645,0.816327,0.285714]
f_measure
0.7093810687451466 [0.947368,0.615385,0.837209,0.823529,0.571429,0.820513,0.432432,0.666667,0.826087,0.553191]
f_measure
0.6899273098437186 [0.888889,0.535714,0.810811,0.705882,0.684211,0.777778,0.424242,0.742857,0.888889,0.44]
f_measure
0.6836610117265213 [0.857143,0.510638,0.863636,0.810811,0.571429,0.75,0.444444,0.736842,0.791667,0.5]
f_measure
0.6651052492336449 [0.95,0.44898,0.820513,0.666667,0.470588,0.761905,0.424242,0.790698,0.888889,0.428571]
f_measure
0.693980000296377 [0.974359,0.6,0.930233,0.777778,0.413793,0.782609,0.333333,0.8,0.909091,0.418605]
f_measure
0.7384730390031281 [0.974359,0.595745,0.818182,0.894737,0.625,0.685714,0.571429,0.85,0.869565,0.5]
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
0.6497399841245342 [0.857143,0.693878,0.772727,0.645161,0.685714,0.947368,0.285714,0.666667,0.734694,0.208333]
kappa
0.6222222222222222
kappa
0.6777777777777777
kappa
0.6444444444444445
kappa
0.65
kappa
0.6333333333333334
kappa
0.6777777777777777
kappa
0.7111111111111111
kappa
0.7444444444444445
kappa
0.65
kappa
0.6055555555555556
kb_relative_information_score
128.88849064187437
kb_relative_information_score
139.34606554748115
kb_relative_information_score
133.0715206041171
kb_relative_information_score
134.11727809467777
kb_relative_information_score
130.98000562299575
kb_relative_information_score
139.34606554748115
kb_relative_information_score
145.62061049084522
kb_relative_information_score
151.89515543420927
kb_relative_information_score
134.11727809467777
kb_relative_information_score
125.75121817019237
mean_absolute_error
0.06799999999999992
mean_absolute_error
0.057999999999999954
mean_absolute_error
0.06399999999999993
mean_absolute_error
0.06299999999999993
mean_absolute_error
0.06599999999999992
mean_absolute_error
0.057999999999999954
mean_absolute_error
0.05199999999999998
mean_absolute_error
0.046
mean_absolute_error
0.06299999999999993
mean_absolute_error
0.07099999999999991
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
0.6931617376875998 [1,0.535714,0.6,1,0.923077,0.904762,0.1875,0.818182,0.689655,0.272727]
precision
0.7557552906354897 [1,0.5,0.782609,1,1,0.842105,0.470588,0.75,0.730769,0.481481]
precision
0.732517955900309 [1,0.416667,0.882353,0.857143,0.722222,0.875,0.538462,0.866667,0.8,0.366667]
precision
0.6991479925303454 [1,0.444444,0.791667,0.882353,0.666667,0.75,0.5,0.777778,0.678571,0.5]
precision
0.6802953635175681 [0.95,0.37931,0.842105,0.846154,0.571429,0.727273,0.538462,0.73913,0.8,0.409091]
precision
0.7128177257525085 [1,0.5,0.869565,0.875,0.666667,0.692308,0.5,0.8,0.833333,0.391304]
precision
0.7590527065527064 [1,0.518519,0.75,0.944444,0.833333,0.8,0.666667,0.85,0.769231,0.458333]
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
0.6886225556053143 [1,0.586207,0.708333,0.909091,0.8,1,0.333333,0.75,0.62069,0.178571]
predictive_accuracy
0.66
predictive_accuracy
0.71
predictive_accuracy
0.68
predictive_accuracy
0.685
predictive_accuracy
0.67
predictive_accuracy
0.71
predictive_accuracy
0.74
predictive_accuracy
0.77
predictive_accuracy
0.685
predictive_accuracy
0.645
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
0.68 [0.8,0.75,0.75,0.6,0.65,0.7,0.35,0.65,1,0.55]
recall
0.685 [0.75,0.6,0.95,0.75,0.5,0.75,0.4,0.7,0.95,0.5]
recall
0.67 [0.95,0.55,0.8,0.55,0.4,0.8,0.35,0.85,1,0.45]
recall
0.71 [0.95,0.75,1,0.7,0.3,0.9,0.25,0.8,1,0.45]
recall
0.74 [0.95,0.7,0.9,0.85,0.5,0.6,0.5,0.85,1,0.55]
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
0.645 [0.75,0.85,0.85,0.5,0.6,0.9,0.25,0.6,0.9,0.25]
relative_absolute_error
0.3777777777777777
relative_absolute_error
0.32222222222222235
relative_absolute_error
0.35555555555555557
relative_absolute_error
0.35
relative_absolute_error
0.36666666666666664
relative_absolute_error
0.32222222222222235
relative_absolute_error
0.2888888888888891
relative_absolute_error
0.2555555555555558
relative_absolute_error
0.35
relative_absolute_error
0.3944444444444444
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
0.2529822128134702
root_mean_squared_error
0.25099800796022254
root_mean_squared_error
0.25690465157330244
root_mean_squared_error
0.2408318915758458
root_mean_squared_error
0.22803508501982755
root_mean_squared_error
0.21447610589527216
root_mean_squared_error
0.25099800796022254
root_mean_squared_error
0.2664582518894844
root_relative_squared_error
0.8692269873603533
root_relative_squared_error
0.8027729719194865
root_relative_squared_error
0.8432740427115679
root_relative_squared_error
0.8366600265340756
root_relative_squared_error
0.8563488385776753
root_relative_squared_error
0.8027729719194865
root_relative_squared_error
0.7601169500660923
root_relative_squared_error
0.714920352984241
root_relative_squared_error
0.8366600265340756
root_relative_squared_error
0.8881941729649485
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
3092.8019360007966
usercpu_time_millis
3139.7914350000065
usercpu_time_millis
3430.65235100039
usercpu_time_millis
3980.697138999858
usercpu_time_millis
3918.441551999422
usercpu_time_millis
3500.0781940007073
usercpu_time_millis
3884.3663079996986
usercpu_time_millis
3839.915576999374
usercpu_time_millis
3919.0262389993222
usercpu_time_millis
3671.7984430006254
usercpu_time_millis_testing
45.73766000066826
usercpu_time_millis_testing
46.05990500022017
usercpu_time_millis_testing
54.97962000026746
usercpu_time_millis_testing
52.53046199959499
usercpu_time_millis_testing
53.47886900017329
usercpu_time_millis_testing
59.233874000710784
usercpu_time_millis_testing
53.41848399984883
usercpu_time_millis_testing
55.185167999297846
usercpu_time_millis_testing
53.823162999833585
usercpu_time_millis_testing
54.01060700023663
usercpu_time_millis_training
3047.0642760001283
usercpu_time_millis_training
3093.7315299997863
usercpu_time_millis_training
3375.6727310001224
usercpu_time_millis_training
3928.166677000263
usercpu_time_millis_training
3864.9626829992485
usercpu_time_millis_training
3440.8443199999965
usercpu_time_millis_training
3830.94782399985
usercpu_time_millis_training
3784.730409000076
usercpu_time_millis_training
3865.2030759994886
usercpu_time_millis_training
3617.787836000389