8906214
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)
6843716
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
2.604990574733738
7650
cache_size
200
7650
class_weight
null
7650
coef0
0.3190639076307651
7650
decision_function_shape
"ovr"
7650
degree
3
7650
gamma
0.0016345965809953147
7650
kernel
"rbf"
7650
max_iter
-1
7650
probability
false
7650
random_state
1
7650
shrinking
true
7650
tol
0.00018891029687558532
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
18728164
description
https://api.openml.org/data/download/18728164/description.xml
-1
18728165
predictions
https://api.openml.org/data/download/18728165/predictions.arff
area_under_roc_curve
0.9027777777777778 [0.995,0.869444,0.975,0.925278,0.873889,0.960556,0.7125,0.961944,0.986389,0.767778]
average_cost
0
f_measure
0.8238725284729359 [0.994975,0.75122,0.955,0.884319,0.796875,0.925373,0.509589,0.885246,0.977444,0.558685]
kappa
0.8055555555555555
kb_relative_information_score
1633.984878303716
mean_absolute_error
0.035000000000000225
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8253383714357503 [1,0.733333,0.955,0.910053,0.831522,0.920792,0.563636,0.832599,0.979899,0.526549]
predictive_accuracy
0.825
prior_entropy
3.321928094887362
recall
0.825 [0.99,0.77,0.955,0.86,0.765,0.93,0.465,0.945,0.975,0.595]
relative_absolute_error
0.1944444444444397
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.18708286933869767
root_relative_squared_error
0.623609564462316
total_cost
0
area_under_roc_curve
0.8944444444444444 [0.975,0.916667,0.972222,0.9,0.919444,1,0.625,0.919444,0.997222,0.719444]
area_under_roc_curve
0.9055555555555556 [1,0.891667,0.972222,0.947222,0.838889,0.941667,0.688889,0.933333,0.975,0.866667]
area_under_roc_curve
0.9194444444444444 [1,0.880556,1,0.891667,0.936111,0.947222,0.786111,0.919444,1,0.833333]
area_under_roc_curve
0.9138888888888889 [0.975,0.836111,0.975,0.969444,0.936111,0.944444,0.788889,0.916667,0.972222,0.825]
area_under_roc_curve
0.8972222222222223 [1,0.813889,0.975,0.916667,0.888889,0.969444,0.702778,0.983333,1,0.722222]
area_under_roc_curve
0.9 [1,0.891667,0.994444,0.894444,0.838889,0.947222,0.722222,0.991667,1,0.719444]
area_under_roc_curve
0.8972222222222221 [1,0.863889,0.95,0.941667,0.844444,0.963889,0.75,0.983333,1,0.675]
area_under_roc_curve
0.913888888888889 [1,0.883333,0.972222,0.944444,0.872222,0.947222,0.8,0.991667,0.972222,0.755556]
area_under_roc_curve
0.9027777777777777 [1,0.841667,0.997222,0.972222,0.813889,0.969444,0.611111,0.988889,1,0.833333]
area_under_roc_curve
0.8833333333333332 [1,0.875,0.941667,0.875,0.85,0.975,0.65,0.991667,0.947222,0.727778]
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
0.8083109383841091 [0.974359,0.72,0.95,0.888889,0.871795,1,0.342857,0.871795,0.97561,0.487805]
f_measure
0.8267688088548165 [1,0.820513,0.95,0.923077,0.736842,0.878049,0.5,0.818182,0.974359,0.666667]
f_measure
0.8545428612870474 [1,0.744186,1,0.820513,0.837209,0.923077,0.648649,0.871795,1,0.7]
f_measure
0.8448534694649271 [0.974359,0.717949,0.974359,0.926829,0.837209,0.9,0.666667,0.85,0.95,0.651163]
f_measure
0.810994264923215 [1,0.702703,0.974359,0.85,0.8,0.926829,0.486486,0.869565,1,0.5]
f_measure
0.8192955500580064 [1,0.820513,0.952381,0.842105,0.736842,0.923077,0.5,0.930233,1,0.487805]
f_measure
0.8108144328605279 [1,0.769231,0.947368,0.878049,0.777778,0.883721,0.55,0.869565,1,0.432432]
f_measure
0.8446542563923225 [1,0.761905,0.95,0.9,0.833333,0.923077,0.619048,0.930233,0.95,0.578947]
f_measure
0.8154322726273945 [1,0.756757,0.97561,0.95,0.702703,0.926829,0.333333,0.909091,1,0.6]
f_measure
0.7944722838304132 [1,0.711111,0.878049,0.857143,0.823529,0.974359,0.388889,0.930233,0.923077,0.458333]
kappa
0.788888888888889
kappa
0.8111111111111111
kappa
0.8388888888888889
kappa
0.8277777777777777
kappa
0.7944444444444444
kappa
0.7999999999999999
kappa
0.7944444444444444
kappa
0.8277777777777777
kappa
0.8055555555555555
kappa
0.7666666666666667
kb_relative_information_score
160.26121535869456
kb_relative_information_score
164.4442453209372
kb_relative_information_score
169.67303277374046
kb_relative_information_score
167.58151779261917
kb_relative_information_score
161.3069728492552
kb_relative_information_score
162.35273033981585
kb_relative_information_score
161.3069728492552
kb_relative_information_score
167.58151779261917
kb_relative_information_score
163.39848783037652
kb_relative_information_score
156.07818539645191
mean_absolute_error
0.03800000000000002
mean_absolute_error
0.034000000000000016
mean_absolute_error
0.029000000000000012
mean_absolute_error
0.031000000000000014
mean_absolute_error
0.03700000000000002
mean_absolute_error
0.03600000000000002
mean_absolute_error
0.03700000000000002
mean_absolute_error
0.031000000000000014
mean_absolute_error
0.03500000000000002
mean_absolute_error
0.04200000000000001
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
0.8168045112781954 [1,0.6,0.95,1,0.894737,1,0.4,0.894737,0.952381,0.47619]
precision
0.8362489557226398 [1,0.842105,0.95,0.947368,0.777778,0.857143,0.666667,0.75,1,0.571429]
precision
0.8568353748822184 [1,0.695652,1,0.842105,0.782609,0.947368,0.705882,0.894737,1,0.7]
precision
0.848290835785115 [1,0.736842,1,0.904762,0.782609,0.9,0.75,0.85,0.95,0.608696]
precision
0.8118110321051497 [1,0.764706,1,0.85,0.8,0.904762,0.529412,0.769231,1,0.5]
precision
0.8210986953549881 [1,0.842105,0.909091,0.888889,0.777778,0.947368,0.5,0.869565,1,0.47619]
precision
0.8137522502400009 [1,0.789474,1,0.857143,0.875,0.826087,0.55,0.769231,1,0.470588]
precision
0.8483726567736865 [1,0.727273,0.95,0.9,0.9375,0.947368,0.590909,0.869565,0.95,0.611111]
precision
0.8228711484593838 [1,0.823529,0.952381,0.95,0.764706,0.904762,0.5,0.833333,1,0.5]
precision
0.8144433638443935 [1,0.64,0.857143,1,1,1,0.4375,0.869565,0.947368,0.392857]
predictive_accuracy
0.81
predictive_accuracy
0.83
predictive_accuracy
0.855
predictive_accuracy
0.845
predictive_accuracy
0.815
predictive_accuracy
0.82
predictive_accuracy
0.815
predictive_accuracy
0.845
predictive_accuracy
0.825
predictive_accuracy
0.79
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
0.81 [0.95,0.9,0.95,0.8,0.85,1,0.3,0.85,1,0.5]
recall
0.83 [1,0.8,0.95,0.9,0.7,0.9,0.4,0.9,0.95,0.8]
recall
0.855 [1,0.8,1,0.8,0.9,0.9,0.6,0.85,1,0.7]
recall
0.845 [0.95,0.7,0.95,0.95,0.9,0.9,0.6,0.85,0.95,0.7]
recall
0.815 [1,0.65,0.95,0.85,0.8,0.95,0.45,1,1,0.5]
recall
0.82 [1,0.8,1,0.8,0.7,0.9,0.5,1,1,0.5]
recall
0.815 [1,0.75,0.9,0.9,0.7,0.95,0.55,1,1,0.4]
recall
0.845 [1,0.8,0.95,0.9,0.75,0.9,0.65,1,0.95,0.55]
recall
0.825 [1,0.7,1,0.95,0.65,0.95,0.25,1,1,0.75]
recall
0.79 [1,0.8,0.9,0.75,0.7,0.95,0.35,1,0.9,0.55]
relative_absolute_error
0.21111111111111147
relative_absolute_error
0.1888888888888892
relative_absolute_error
0.16111111111111134
relative_absolute_error
0.1722222222222225
relative_absolute_error
0.20555555555555588
relative_absolute_error
0.20000000000000032
relative_absolute_error
0.20555555555555588
relative_absolute_error
0.1722222222222225
relative_absolute_error
0.19444444444444475
relative_absolute_error
0.23333333333333364
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
0.19493588689617933
root_mean_squared_error
0.1843908891458578
root_mean_squared_error
0.17029386365926405
root_mean_squared_error
0.17606816861659014
root_mean_squared_error
0.19235384061671348
root_mean_squared_error
0.1897366596101028
root_mean_squared_error
0.19235384061671348
root_mean_squared_error
0.17606816861659014
root_mean_squared_error
0.1870828693386971
root_mean_squared_error
0.20493901531919198
root_relative_squared_error
0.6497862896539316
root_relative_squared_error
0.6146362971528597
root_relative_squared_error
0.5676462121975472
root_relative_squared_error
0.5868938953886341
root_relative_squared_error
0.6411794687223786
root_relative_squared_error
0.6324555320336763
root_relative_squared_error
0.6411794687223786
root_relative_squared_error
0.5868938953886341
root_relative_squared_error
0.6236095644623241
root_relative_squared_error
0.6831300510639737
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
3178.121385999475
usercpu_time_millis
3163.136571000905
usercpu_time_millis
3106.870976999744
usercpu_time_millis
2923.126161000255
usercpu_time_millis
2824.5920490007848
usercpu_time_millis
2480.5855869999505
usercpu_time_millis
2506.999411000834
usercpu_time_millis
2592.7988050007116
usercpu_time_millis
2710.7410289991094
usercpu_time_millis
3116.8868939994354
usercpu_time_millis_testing
35.4195259997141
usercpu_time_millis_testing
35.78106900022249
usercpu_time_millis_testing
30.89313599957677
usercpu_time_millis_testing
36.529783999867504
usercpu_time_millis_testing
30.3653930004657
usercpu_time_millis_testing
30.102787999567227
usercpu_time_millis_testing
30.376359000001685
usercpu_time_millis_testing
30.640063000646478
usercpu_time_millis_testing
32.10576599940396
usercpu_time_millis_testing
35.762540999712655
usercpu_time_millis_training
3142.701859999761
usercpu_time_millis_training
3127.3555020006825
usercpu_time_millis_training
3075.9778410001672
usercpu_time_millis_training
2886.5963770003873
usercpu_time_millis_training
2794.226656000319
usercpu_time_millis_training
2450.4827990003832
usercpu_time_millis_training
2476.623052000832
usercpu_time_millis_training
2562.158742000065
usercpu_time_millis_training
2678.6352629997054
usercpu_time_millis_training
3081.1243529997228