8906316
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)
6843800
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
0.36720918950712406
7650
cache_size
200
7650
class_weight
null
7650
coef0
0.1777337034070614
7650
decision_function_shape
"ovr"
7650
degree
3
7650
gamma
0.00028028976046976184
7650
kernel
"rbf"
7650
max_iter
-1
7650
probability
false
7650
random_state
1
7650
shrinking
false
7650
tol
5.139665008763591e-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
18728368
description
https://api.openml.org/data/download/18728368/description.xml
-1
18728369
predictions
https://api.openml.org/data/download/18728369/predictions.arff
area_under_roc_curve
0.8380555555555556 [0.9425,0.832222,0.931389,0.824722,0.750833,0.904167,0.65,0.84,0.975556,0.729167]
average_cost
0
f_measure
0.7084942042171473 [0.938992,0.603239,0.848921,0.768328,0.617211,0.819753,0.4,0.744681,0.875,0.468817]
kappa
0.6761111111111111
kb_relative_information_score
1390.3233830031022
mean_absolute_error
0.05830000000000056
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7303241289721 [1,0.506803,0.815668,0.929078,0.759124,0.809756,0.485714,0.795455,0.790323,0.411321]
predictive_accuracy
0.7084999999999999
prior_entropy
3.321928094887362
recall
0.7085 [0.885,0.745,0.885,0.655,0.52,0.83,0.34,0.7,0.98,0.545]
relative_absolute_error
0.323888888888882
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.24145392935299387
root_relative_squared_error
0.8048464311766339
total_cost
0
area_under_roc_curve
0.8138888888888889 [0.925,0.836111,0.919444,0.85,0.797222,0.969444,0.538889,0.719444,0.980556,0.602778]
area_under_roc_curve
0.8416666666666666 [0.95,0.858333,0.936111,0.85,0.7,0.913889,0.675,0.788889,0.958333,0.786111]
area_under_roc_curve
0.8277777777777777 [0.9,0.819444,0.872222,0.794444,0.811111,0.841667,0.661111,0.819444,0.986111,0.772222]
area_under_roc_curve
0.8361111111111111 [0.9,0.738889,0.963889,0.869444,0.786111,0.861111,0.677778,0.836111,0.955556,0.772222]
area_under_roc_curve
0.825 [0.975,0.727778,0.894444,0.769444,0.730556,0.905556,0.658333,0.908333,0.988889,0.691667]
area_under_roc_curve
0.8472222222222223 [0.975,0.855556,0.994444,0.844444,0.666667,0.930556,0.611111,0.888889,0.991667,0.713889]
area_under_roc_curve
0.8666666666666666 [0.975,0.844444,0.936111,0.922222,0.741667,0.841667,0.736111,0.916667,0.988889,0.763889]
area_under_roc_curve
0.8777777777777779 [0.975,0.894444,0.919444,0.872222,0.744444,0.916667,0.755556,0.891667,0.991667,0.816667]
area_under_roc_curve
0.8305555555555556 [0.9,0.858333,0.969444,0.725,0.711111,0.911111,0.588889,0.841667,0.986111,0.813889]
area_under_roc_curve
0.8138888888888887 [0.95,0.888889,0.908333,0.75,0.819444,0.95,0.597222,0.788889,0.927778,0.558333]
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
0.6620934526945322 [0.918919,0.612245,0.734694,0.823529,0.727273,0.926829,0.166667,0.580645,0.851064,0.27907]
f_measure
0.7132990012551821 [0.947368,0.627451,0.837209,0.823529,0.571429,0.829268,0.432432,0.666667,0.844444,0.553191]
f_measure
0.6983772435436522 [0.888889,0.545455,0.833333,0.705882,0.684211,0.756757,0.4375,0.742857,0.888889,0.5]
f_measure
0.704197796892438 [0.888889,0.5,0.883721,0.810811,0.648649,0.75,0.444444,0.717949,0.826087,0.571429]
f_measure
0.6817787448780522 [0.974359,0.458333,0.842105,0.666667,0.540541,0.772727,0.424242,0.790698,0.909091,0.439024]
f_measure
0.7115251157111622 [0.974359,0.615385,0.952381,0.777778,0.466667,0.8,0.333333,0.8,0.930233,0.465116]
f_measure
0.7585149208503473 [0.974359,0.652174,0.837209,0.894737,0.606061,0.756757,0.571429,0.85,0.909091,0.533333]
f_measure
0.7801208912067833 [0.974359,0.708333,0.871795,0.833333,0.625,0.85,0.578947,0.820513,0.930233,0.608696]
f_measure
0.6860470087809449 [0.888889,0.627451,0.926829,0.62069,0.529412,0.809524,0.285714,0.756757,0.888889,0.526316]
f_measure
0.6714029606733866 [0.947368,0.68,0.790698,0.666667,0.742857,0.947368,0.285714,0.666667,0.782609,0.204082]
kappa
0.6277777777777779
kappa
0.6833333333333333
kappa
0.6555555555555556
kappa
0.6722222222222222
kappa
0.65
kappa
0.6944444444444444
kappa
0.7333333333333334
kappa
0.7555555555555555
kappa
0.6611111111111111
kappa
0.6277777777777779
kb_relative_information_score
129.93424813243507
kb_relative_information_score
140.39182303804182
kb_relative_information_score
135.16303558523842
kb_relative_information_score
138.30030805692047
kb_relative_information_score
134.11727809467777
kb_relative_information_score
142.48333801916317
kb_relative_information_score
149.8036404530879
kb_relative_information_score
153.98667041533062
kb_relative_information_score
136.20879307579912
kb_relative_information_score
129.93424813243507
mean_absolute_error
0.06699999999999992
mean_absolute_error
0.05699999999999996
mean_absolute_error
0.06199999999999994
mean_absolute_error
0.05899999999999995
mean_absolute_error
0.06299999999999993
mean_absolute_error
0.054999999999999966
mean_absolute_error
0.04799999999999999
mean_absolute_error
0.044000000000000004
mean_absolute_error
0.06099999999999994
mean_absolute_error
0.06699999999999992
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
0.6973061986461536 [1,0.517241,0.62069,1,0.923077,0.904762,0.1875,0.818182,0.740741,0.26087]
precision
0.7570331254209646 [1,0.516129,0.782609,1,1,0.809524,0.470588,0.75,0.76,0.481481]
precision
0.7425215919701214 [1,0.428571,0.9375,0.857143,0.722222,0.823529,0.583333,0.866667,0.8,0.40625]
precision
0.7135721465459653 [1,0.458333,0.826087,0.882353,0.705882,0.75,0.5,0.736842,0.730769,0.545455]
precision
0.6963965240499768 [1,0.392857,0.888889,0.846154,0.588235,0.708333,0.538462,0.73913,0.833333,0.428571]
precision
0.7308438735177866 [1,0.5,0.909091,0.875,0.7,0.72,0.5,0.8,0.869565,0.434783]
precision
0.7726736398015168 [1,0.576923,0.782609,0.944444,0.769231,0.823529,0.666667,0.85,0.833333,0.48]
precision
0.7983956162703304 [1,0.607143,0.894737,0.9375,0.833333,0.85,0.611111,0.842105,0.869565,0.538462]
precision
0.7365410169774497 [1,0.516129,0.904762,1,0.642857,0.772727,0.5,0.823529,0.8,0.405405]
precision
0.7120518586860416 [1,0.566667,0.73913,1,0.866667,1,0.333333,0.75,0.692308,0.172414]
predictive_accuracy
0.665
predictive_accuracy
0.715
predictive_accuracy
0.69
predictive_accuracy
0.705
predictive_accuracy
0.685
predictive_accuracy
0.725
predictive_accuracy
0.76
predictive_accuracy
0.78
predictive_accuracy
0.695
predictive_accuracy
0.665
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
0.665 [0.85,0.75,0.9,0.7,0.6,0.95,0.15,0.45,1,0.3]
recall
0.715 [0.9,0.8,0.9,0.7,0.4,0.85,0.4,0.6,0.95,0.65]
recall
0.69 [0.8,0.75,0.75,0.6,0.65,0.7,0.35,0.65,1,0.65]
recall
0.705 [0.8,0.55,0.95,0.75,0.6,0.75,0.4,0.7,0.95,0.6]
recall
0.685 [0.95,0.55,0.8,0.55,0.5,0.85,0.35,0.85,1,0.45]
recall
0.725 [0.95,0.8,1,0.7,0.35,0.9,0.25,0.8,1,0.5]
recall
0.76 [0.95,0.75,0.9,0.85,0.5,0.7,0.5,0.85,1,0.6]
recall
0.78 [0.95,0.85,0.85,0.75,0.5,0.85,0.55,0.8,1,0.7]
recall
0.695 [0.8,0.8,0.95,0.45,0.45,0.85,0.2,0.7,1,0.75]
recall
0.665 [0.9,0.85,0.85,0.5,0.65,0.9,0.25,0.6,0.9,0.25]
relative_absolute_error
0.37222222222222223
relative_absolute_error
0.31666666666666676
relative_absolute_error
0.3444444444444445
relative_absolute_error
0.32777777777777783
relative_absolute_error
0.35
relative_absolute_error
0.3055555555555557
relative_absolute_error
0.2666666666666669
relative_absolute_error
0.24444444444444474
relative_absolute_error
0.3388888888888889
relative_absolute_error
0.37222222222222223
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
0.25884358211089553
root_mean_squared_error
0.23874672772626634
root_mean_squared_error
0.2489979919597745
root_mean_squared_error
0.2428991560298223
root_mean_squared_error
0.25099800796022254
root_mean_squared_error
0.2345207879911714
root_mean_squared_error
0.21908902300206642
root_mean_squared_error
0.20976176963403032
root_mean_squared_error
0.24698178070456928
root_mean_squared_error
0.25884358211089553
root_relative_squared_error
0.8628119403696521
root_relative_squared_error
0.7958224257542216
root_relative_squared_error
0.8299933065325821
root_relative_squared_error
0.8096638534327415
root_relative_squared_error
0.8366600265340756
root_relative_squared_error
0.7817359599705718
root_relative_squared_error
0.7302967433402218
root_relative_squared_error
0.6992058987801015
root_relative_squared_error
0.8232726023485647
root_relative_squared_error
0.8628119403696521
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
3607.3359940000955
usercpu_time_millis
3611.6599170009067
usercpu_time_millis
3617.638798000371
usercpu_time_millis
3514.26955199895
usercpu_time_millis
3298.1126069998936
usercpu_time_millis
3139.0018560005046
usercpu_time_millis
3014.5673939996414
usercpu_time_millis
3120.603284999561
usercpu_time_millis
3326.042437000069
usercpu_time_millis
3182.7656919995206
usercpu_time_millis_testing
54.794128999674285
usercpu_time_millis_testing
53.553778000605234
usercpu_time_millis_testing
53.65242100015166
usercpu_time_millis_testing
54.26041299961071
usercpu_time_millis_testing
45.467672999620845
usercpu_time_millis_testing
46.64301800039539
usercpu_time_millis_testing
46.13992699978553
usercpu_time_millis_testing
47.018248999847856
usercpu_time_millis_testing
59.24745799984521
usercpu_time_millis_testing
54.19248699945456
usercpu_time_millis_training
3552.5418650004212
usercpu_time_millis_training
3558.1061390003015
usercpu_time_millis_training
3563.9863770002194
usercpu_time_millis_training
3460.0091389993395
usercpu_time_millis_training
3252.6449340002728
usercpu_time_millis_training
3092.3588380001092
usercpu_time_millis_training
2968.427466999856
usercpu_time_millis_training
3073.585035999713
usercpu_time_millis_training
3266.794979000224
usercpu_time_millis_training
3128.573205000066