8906376
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)
6843852
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
0.6649818662199884
7650
cache_size
200
7650
class_weight
null
7650
coef0
0.22056934522833838
7650
decision_function_shape
"ovr"
7650
degree
3
7650
gamma
0.00047831485365175223
7650
kernel
"rbf"
7650
max_iter
-1
7650
probability
false
7650
random_state
1
7650
shrinking
false
7650
tol
7.62565900143717e-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
18728488
description
https://api.openml.org/data/download/18728488/description.xml
-1
18728489
predictions
https://api.openml.org/data/download/18728489/predictions.arff
area_under_roc_curve
0.8672222222222221 [0.975,0.853056,0.937778,0.8625,0.815278,0.9375,0.655556,0.888333,0.984444,0.762778]
average_cost
0
f_measure
0.7611577061383773 [0.974359,0.67706,0.898477,0.805479,0.712329,0.879012,0.411765,0.79602,0.942308,0.514768]
kappa
0.7344444444444445
kb_relative_information_score
1500.127919511962
mean_absolute_error
0.04780000000000041
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7714635552584355 [1,0.610442,0.912371,0.890909,0.787879,0.868293,0.5,0.792079,0.907407,0.445255]
predictive_accuracy
0.7609999999999999
prior_entropy
3.321928094887362
recall
0.761 [0.95,0.76,0.885,0.735,0.65,0.89,0.35,0.8,0.98,0.61]
relative_absolute_error
0.26555555555554966
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.2186321110907554
root_relative_squared_error
0.7287737036358402
total_cost
0
area_under_roc_curve
0.8444444444444444 [0.95,0.891667,0.911111,0.872222,0.866667,0.972222,0.541667,0.813889,0.994444,0.630556]
area_under_roc_curve
0.8694444444444442 [1,0.85,0.941667,0.872222,0.772222,0.911111,0.705556,0.863889,0.969444,0.808333]
area_under_roc_curve
0.8694444444444445 [0.95,0.880556,0.9,0.816667,0.883333,0.95,0.663889,0.866667,0.994444,0.788889]
area_under_roc_curve
0.8861111111111112 [0.925,0.830556,0.975,0.919444,0.891667,0.966667,0.702778,0.863889,0.963889,0.822222]
area_under_roc_curve
0.8527777777777777 [1,0.772222,0.897222,0.841667,0.761111,0.930556,0.658333,0.908333,0.997222,0.761111]
area_under_roc_curve
0.8833333333333333 [1,0.883333,0.997222,0.847222,0.813889,0.941667,0.655556,0.938889,0.997222,0.758333]
area_under_roc_curve
0.8833333333333333 [0.975,0.833333,0.922222,0.938889,0.766667,0.888889,0.736111,0.958333,0.994444,0.819444]
area_under_roc_curve
0.8833333333333333 [0.975,0.875,0.919444,0.869444,0.791667,0.919444,0.730556,0.941667,0.994444,0.816667]
area_under_roc_curve
0.8638888888888888 [0.975,0.847222,0.997222,0.822222,0.788889,0.919444,0.588889,0.888889,0.994444,0.816667]
area_under_roc_curve
0.8361111111111111 [1,0.866667,0.916667,0.825,0.816667,0.975,0.572222,0.838889,0.944444,0.605556]
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
0.7175670421001772 [0.947368,0.693878,0.809524,0.833333,0.789474,0.95,0.171429,0.702703,0.952381,0.325581]
f_measure
0.7657712714115152 [1,0.681818,0.878049,0.833333,0.6875,0.809524,0.5,0.769231,0.926829,0.571429]
f_measure
0.7667947080205033 [0.947368,0.641509,0.888889,0.722222,0.761905,0.947368,0.451613,0.789474,0.952381,0.565217]
f_measure
0.7949076141929232 [0.918919,0.682927,0.974359,0.871795,0.820513,0.904762,0.486486,0.769231,0.883721,0.636364]
f_measure
0.7316450289354677 [1,0.571429,0.864865,0.756757,0.611111,0.8,0.424242,0.790698,0.97561,0.521739]
f_measure
0.7873421618187941 [1,0.761905,0.97561,0.8,0.702703,0.878049,0.411765,0.857143,0.97561,0.510638]
f_measure
0.7863773687612698 [0.974359,0.7,0.894737,0.857143,0.647059,0.8,0.571429,0.844444,0.952381,0.622222]
f_measure
0.7905250851168135 [0.974359,0.711111,0.871795,0.810811,0.685714,0.871795,0.540541,0.878049,0.952381,0.608696]
f_measure
0.7493612341747206 [0.974359,0.666667,0.97561,0.764706,0.666667,0.871795,0.285714,0.8,0.952381,0.535714]
f_measure
0.7142493643267638 [1,0.666667,0.85,0.787879,0.722222,0.974359,0.235294,0.736842,0.9,0.269231]
kappa
0.6888888888888889
kappa
0.7388888888888889
kappa
0.7388888888888889
kappa
0.7722222222222223
kappa
0.7055555555555556
kappa
0.7666666666666667
kappa
0.7666666666666667
kappa
0.7666666666666667
kappa
0.7277777777777777
kappa
0.6722222222222222
kb_relative_information_score
141.4375805286025
kb_relative_information_score
150.84939794364857
kb_relative_information_score
150.84939794364857
kb_relative_information_score
157.1239428870126
kb_relative_information_score
144.57485300028452
kb_relative_information_score
156.07818539645191
kb_relative_information_score
156.07818539645194
kb_relative_information_score
156.07818539645191
kb_relative_information_score
148.75788296252722
kb_relative_information_score
138.30030805692047
mean_absolute_error
0.05599999999999996
mean_absolute_error
0.04699999999999999
mean_absolute_error
0.04699999999999999
mean_absolute_error
0.041000000000000016
mean_absolute_error
0.05299999999999997
mean_absolute_error
0.04200000000000001
mean_absolute_error
0.04200000000000001
mean_absolute_error
0.04200000000000001
mean_absolute_error
0.04899999999999999
mean_absolute_error
0.05899999999999995
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
0.7257912120143137 [1,0.586207,0.772727,0.9375,0.833333,0.95,0.2,0.764706,0.909091,0.304348]
precision
0.7848531006198882 [1,0.625,0.857143,0.9375,0.916667,0.772727,0.5625,0.789474,0.904762,0.482759]
precision
0.7933712121212122 [1,0.515152,1,0.8125,0.727273,1,0.636364,0.833333,0.909091,0.5]
precision
0.7995450874337667 [1,0.666667,1,0.894737,0.842105,0.863636,0.529412,0.789474,0.826087,0.583333]
precision
0.7409171814971047 [1,0.545455,0.941176,0.823529,0.6875,0.72,0.538462,0.73913,0.952381,0.461538]
precision
0.7949842967490026 [1,0.727273,0.952381,0.933333,0.764706,0.857143,0.5,0.818182,0.952381,0.444444]
precision
0.7944098124098123 [1,0.7,0.944444,0.818182,0.785714,0.8,0.666667,0.76,0.909091,0.56]
precision
0.8004757224199949 [1,0.64,0.894737,0.882353,0.8,0.894737,0.588235,0.857143,0.909091,0.538462]
precision
0.775144679881522 [1,0.6,0.952381,0.928571,0.75,0.894737,0.5,0.8,0.909091,0.416667]
precision
0.7416170634920636 [1,0.571429,0.85,1,0.8125,1,0.285714,0.777778,0.9,0.21875]
predictive_accuracy
0.72
predictive_accuracy
0.765
predictive_accuracy
0.765
predictive_accuracy
0.795
predictive_accuracy
0.735
predictive_accuracy
0.79
predictive_accuracy
0.79
predictive_accuracy
0.79
predictive_accuracy
0.755
predictive_accuracy
0.705
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
0.72 [0.9,0.85,0.85,0.75,0.75,0.95,0.15,0.65,1,0.35]
recall
0.765 [1,0.75,0.9,0.75,0.55,0.85,0.45,0.75,0.95,0.7]
recall
0.765 [0.9,0.85,0.8,0.65,0.8,0.9,0.35,0.75,1,0.65]
recall
0.795 [0.85,0.7,0.95,0.85,0.8,0.95,0.45,0.75,0.95,0.7]
recall
0.735 [1,0.6,0.8,0.7,0.55,0.9,0.35,0.85,1,0.6]
recall
0.79 [1,0.8,1,0.7,0.65,0.9,0.35,0.9,1,0.6]
recall
0.79 [0.95,0.7,0.85,0.9,0.55,0.8,0.5,0.95,1,0.7]
recall
0.79 [0.95,0.8,0.85,0.75,0.6,0.85,0.5,0.9,1,0.7]
recall
0.755 [0.95,0.75,1,0.65,0.6,0.85,0.2,0.8,1,0.75]
recall
0.705 [1,0.8,0.85,0.65,0.65,0.95,0.2,0.7,0.9,0.35]
relative_absolute_error
0.3111111111111112
relative_absolute_error
0.26111111111111135
relative_absolute_error
0.26111111111111135
relative_absolute_error
0.2277777777777781
relative_absolute_error
0.2944444444444446
relative_absolute_error
0.23333333333333364
relative_absolute_error
0.23333333333333364
relative_absolute_error
0.23333333333333364
relative_absolute_error
0.2722222222222225
relative_absolute_error
0.32777777777777783
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
0.23664319132398456
root_mean_squared_error
0.21679483388678797
root_mean_squared_error
0.21679483388678797
root_mean_squared_error
0.20248456731316591
root_mean_squared_error
0.2302172886644267
root_mean_squared_error
0.20493901531919198
root_mean_squared_error
0.20493901531919198
root_mean_squared_error
0.20493901531919198
root_mean_squared_error
0.22135943621178653
root_mean_squared_error
0.2428991560298223
root_relative_squared_error
0.7888106377466158
root_relative_squared_error
0.7226494462892937
root_relative_squared_error
0.7226494462892937
root_relative_squared_error
0.6749485577105534
root_relative_squared_error
0.7673909622147562
root_relative_squared_error
0.6831300510639737
root_relative_squared_error
0.6831300510639737
root_relative_squared_error
0.6831300510639737
root_relative_squared_error
0.7378647873726222
root_relative_squared_error
0.8096638534327415
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
3558.9684959995793
usercpu_time_millis
3532.3999120000735
usercpu_time_millis
3612.592611999389
usercpu_time_millis
3380.1774839994323
usercpu_time_millis
2827.334198999779
usercpu_time_millis
2689.298038999368
usercpu_time_millis
2724.912651999148
usercpu_time_millis
2644.4581270006893
usercpu_time_millis
2935.511726000186
usercpu_time_millis
3476.478161999694
usercpu_time_millis_testing
54.20184699960373
usercpu_time_millis_testing
50.89274900001328
usercpu_time_millis_testing
51.36382899945602
usercpu_time_millis_testing
47.36614899957203
usercpu_time_millis_testing
42.898845999843616
usercpu_time_millis_testing
43.98040599971864
usercpu_time_millis_testing
42.453549999663664
usercpu_time_millis_testing
42.700494000200706
usercpu_time_millis_testing
51.769542999863916
usercpu_time_millis_testing
50.87029199967219
usercpu_time_millis_training
3504.7666489999756
usercpu_time_millis_training
3481.5071630000602
usercpu_time_millis_training
3561.228782999933
usercpu_time_millis_training
3332.8113349998603
usercpu_time_millis_training
2784.4353529999353
usercpu_time_millis_training
2645.3176329996495
usercpu_time_millis_training
2682.459101999484
usercpu_time_millis_training
2601.7576330004886
usercpu_time_millis_training
2883.7421830003223
usercpu_time_millis_training
3425.6078700000216