8906351
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)
6843831
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
12.750197028308017
7650
cache_size
200
7650
class_weight
null
7650
coef0
0.4336223818027576
7650
decision_function_shape
"ovr"
7650
degree
3
7650
gamma
0.006825748021736655
7650
kernel
"rbf"
7650
max_iter
-1
7650
probability
false
7650
random_state
1
7650
shrinking
true
7650
tol
0.0005426121663568004
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
18728438
description
https://api.openml.org/data/download/18728438/description.xml
-1
18728439
predictions
https://api.openml.org/data/download/18728439/predictions.arff
area_under_roc_curve
0.9152777777777779 [0.9975,0.894444,0.976111,0.95,0.913611,0.964722,0.755833,0.956944,0.986389,0.757222]
average_cost
0
f_measure
0.8478179329086575 [0.997494,0.81,0.964646,0.91,0.859335,0.942065,0.561404,0.896386,0.977444,0.559406]
kappa
0.8305555555555556
kb_relative_information_score
1681.0439653789426
mean_absolute_error
0.030500000000000162
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8485060941967446 [1,0.81,0.97449,0.91,0.879581,0.949239,0.562814,0.865116,0.979899,0.553922]
predictive_accuracy
0.8475
prior_entropy
3.321928094887362
recall
0.8475 [0.995,0.81,0.955,0.91,0.84,0.935,0.56,0.93,0.975,0.565]
relative_absolute_error
0.16944444444444012
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.17464249196573028
root_relative_squared_error
0.5821416398857587
total_cost
0
area_under_roc_curve
0.9250000000000002 [0.975,0.933333,0.997222,0.925,0.963889,0.975,0.802778,0.922222,0.997222,0.758333]
area_under_roc_curve
0.8972222222222223 [1,0.858333,0.95,0.891667,0.888889,0.947222,0.725,0.963889,0.975,0.772222]
area_under_roc_curve
0.9166666666666667 [1,0.938889,1,0.919444,0.961111,0.947222,0.747222,0.947222,1,0.705556]
area_under_roc_curve
0.9472222222222222 [1,0.919444,0.975,0.991667,0.997222,0.975,0.836111,0.947222,0.975,0.855556]
area_under_roc_curve
0.8833333333333333 [1,0.813889,0.95,0.941667,0.869444,0.916667,0.644444,0.958333,1,0.738889]
area_under_roc_curve
0.9249999999999998 [1,0.916667,0.972222,0.919444,0.872222,0.994444,0.802778,0.994444,1,0.777778]
area_under_roc_curve
0.9166666666666664 [1,0.894444,0.95,0.966667,0.894444,0.969444,0.822222,0.988889,0.997222,0.683333]
area_under_roc_curve
0.9333333333333332 [1,0.894444,0.997222,0.997222,0.919444,0.975,0.830556,0.941667,0.972222,0.805556]
area_under_roc_curve
0.9194444444444444 [1,0.894444,1,0.997222,0.925,0.975,0.633333,0.988889,1,0.780556]
area_under_roc_curve
0.888888888888889 [1,0.880556,0.969444,0.95,0.844444,0.972222,0.713889,0.916667,0.947222,0.694444]
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
0.8644236906409638 [0.974359,0.818182,0.97561,0.918919,0.883721,0.974359,0.634146,0.894737,0.97561,0.594595]
f_measure
0.8164994470556163 [1,0.731707,0.947368,0.820513,0.8,0.923077,0.512821,0.883721,0.974359,0.571429]
f_measure
0.8475313304581598 [1,0.857143,1,0.871795,0.863636,0.923077,0.536585,0.923077,1,0.5]
f_measure
0.9056025464420244 [1,0.871795,0.974359,0.930233,0.97561,0.974359,0.717949,0.923077,0.974359,0.714286]
f_measure
0.7901796212129973 [1,0.702703,0.947368,0.878049,0.810811,0.85,0.368421,0.844444,1,0.5]
f_measure
0.8644036451353524 [1,0.85,0.95,0.871795,0.833333,0.952381,0.634146,0.952381,1,0.6]
f_measure
0.8454822657269232 [1,0.842105,0.947368,0.904762,0.842105,0.926829,0.636364,0.909091,0.97561,0.470588]
f_measure
0.880045423126296 [1,0.842105,0.97561,0.97561,0.871795,0.974359,0.682927,0.878049,0.95,0.65]
f_measure
0.8525696066522217 [1,0.842105,1,0.97561,0.918919,0.974359,0.375,0.909091,1,0.530612]
f_measure
0.803435471578141 [1,0.744186,0.926829,0.947368,0.777778,0.95,0.465116,0.85,0.923077,0.45]
kappa
0.85
kappa
0.7944444444444444
kappa
0.8333333333333333
kappa
0.8944444444444445
kappa
0.7666666666666667
kappa
0.85
kappa
0.8333333333333333
kappa
0.8666666666666667
kappa
0.8388888888888889
kappa
0.7777777777777778
kb_relative_information_score
171.7645477548618
kb_relative_information_score
161.3069728492552
kb_relative_information_score
168.6272752831798
kb_relative_information_score
180.13060767934704
kb_relative_information_score
156.07818539645191
kb_relative_information_score
171.7645477548618
kb_relative_information_score
168.6272752831798
kb_relative_information_score
174.90182022654378
kb_relative_information_score
169.67303277374046
kb_relative_information_score
158.16970037757324
mean_absolute_error
0.02700000000000001
mean_absolute_error
0.03700000000000002
mean_absolute_error
0.030000000000000013
mean_absolute_error
0.019000000000000006
mean_absolute_error
0.04200000000000001
mean_absolute_error
0.02700000000000001
mean_absolute_error
0.030000000000000013
mean_absolute_error
0.024000000000000007
mean_absolute_error
0.029000000000000012
mean_absolute_error
0.040000000000000015
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
0.8691399748305119 [1,0.75,0.952381,1,0.826087,1,0.619048,0.944444,0.952381,0.647059]
precision
0.820161668994621 [1,0.714286,1,0.842105,0.8,0.947368,0.526316,0.826087,1,0.545455]
precision
0.8485631692868535 [1,0.818182,1,0.894737,0.791667,0.947368,0.52381,0.947368,1,0.5625]
precision
0.9082711720011492 [1,0.894737,1,0.869565,0.952381,1,0.736842,0.947368,1,0.681818]
precision
0.7961423902894489 [1,0.764706,1,0.857143,0.882353,0.85,0.388889,0.76,1,0.458333]
precision
0.8669466279334701 [1,0.85,0.95,0.894737,0.9375,0.909091,0.619048,0.909091,1,0.6]
precision
0.8486652236652236 [1,0.888889,1,0.863636,0.888889,0.904762,0.583333,0.833333,0.952381,0.571429]
precision
0.8812197159565581 [1,0.888889,0.952381,0.952381,0.894737,1,0.666667,0.857143,0.95,0.65]
precision
0.862287903667214 [1,0.888889,1,0.952381,1,1,0.5,0.833333,1,0.448276]
precision
0.8107565108423231 [1,0.695652,0.904762,1,0.875,0.95,0.434783,0.85,0.947368,0.45]
predictive_accuracy
0.865
predictive_accuracy
0.815
predictive_accuracy
0.85
predictive_accuracy
0.905
predictive_accuracy
0.79
predictive_accuracy
0.865
predictive_accuracy
0.85
predictive_accuracy
0.88
predictive_accuracy
0.855
predictive_accuracy
0.8
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
0.865 [0.95,0.9,1,0.85,0.95,0.95,0.65,0.85,1,0.55]
recall
0.815 [1,0.75,0.9,0.8,0.8,0.9,0.5,0.95,0.95,0.6]
recall
0.85 [1,0.9,1,0.85,0.95,0.9,0.55,0.9,1,0.45]
recall
0.905 [1,0.85,0.95,1,1,0.95,0.7,0.9,0.95,0.75]
recall
0.79 [1,0.65,0.9,0.9,0.75,0.85,0.35,0.95,1,0.55]
recall
0.865 [1,0.85,0.95,0.85,0.75,1,0.65,1,1,0.6]
recall
0.85 [1,0.8,0.9,0.95,0.8,0.95,0.7,1,1,0.4]
recall
0.88 [1,0.8,1,1,0.85,0.95,0.7,0.9,0.95,0.65]
recall
0.855 [1,0.8,1,1,0.85,0.95,0.3,1,1,0.65]
recall
0.8 [1,0.8,0.95,0.9,0.7,0.95,0.5,0.85,0.9,0.45]
relative_absolute_error
0.15000000000000024
relative_absolute_error
0.20555555555555588
relative_absolute_error
0.16666666666666693
relative_absolute_error
0.10555555555555571
relative_absolute_error
0.23333333333333364
relative_absolute_error
0.15000000000000024
relative_absolute_error
0.16666666666666693
relative_absolute_error
0.13333333333333353
relative_absolute_error
0.16111111111111134
relative_absolute_error
0.22222222222222257
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
0.16431676725154987
root_mean_squared_error
0.19235384061671348
root_mean_squared_error
0.17320508075688776
root_mean_squared_error
0.13784048752090225
root_mean_squared_error
0.20493901531919198
root_mean_squared_error
0.16431676725154987
root_mean_squared_error
0.17320508075688776
root_mean_squared_error
0.1549193338482967
root_mean_squared_error
0.17029386365926405
root_mean_squared_error
0.20000000000000004
root_relative_squared_error
0.5477225575051665
root_relative_squared_error
0.6411794687223786
root_relative_squared_error
0.5773502691896262
root_relative_squared_error
0.4594682917363411
root_relative_squared_error
0.6831300510639737
root_relative_squared_error
0.5477225575051665
root_relative_squared_error
0.5773502691896262
root_relative_squared_error
0.5163977794943226
root_relative_squared_error
0.5676462121975472
root_relative_squared_error
0.6666666666666672
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
3185.7249719996616
usercpu_time_millis
3103.2144090004294
usercpu_time_millis
2861.0492150000937
usercpu_time_millis
2588.3259339998403
usercpu_time_millis
2515.4557369996837
usercpu_time_millis
2528.276994999942
usercpu_time_millis
2762.1701179996307
usercpu_time_millis
3231.448334999186
usercpu_time_millis
3342.3465880005097
usercpu_time_millis
3266.7828570001802
usercpu_time_millis_testing
35.585747999903106
usercpu_time_millis_testing
39.93241300031514
usercpu_time_millis_testing
30.827345999568934
usercpu_time_millis_testing
30.290368999885686
usercpu_time_millis_testing
32.48538299976644
usercpu_time_millis_testing
30.890574999830278
usercpu_time_millis_testing
30.81550499973673
usercpu_time_millis_testing
40.63157299970044
usercpu_time_millis_testing
38.9506640003674
usercpu_time_millis_testing
36.56692999993538
usercpu_time_millis_training
3150.1392239997585
usercpu_time_millis_training
3063.2819960001143
usercpu_time_millis_training
2830.2218690005247
usercpu_time_millis_training
2558.0355649999547
usercpu_time_millis_training
2482.9703539999173
usercpu_time_millis_training
2497.3864200001117
usercpu_time_millis_training
2731.354612999894
usercpu_time_millis_training
3190.8167619994856
usercpu_time_millis_training
3303.3959240001423
usercpu_time_millis_training
3230.215927000245