8906389
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)
6843864
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
31.23637964134194
7650
cache_size
200
7650
class_weight
null
7650
coef0
0.49825776734129357
7650
decision_function_shape
"ovr"
7650
degree
3
7650
gamma
0.015289020705131192
7650
kernel
"rbf"
7650
max_iter
-1
7650
probability
false
7650
random_state
1
7650
shrinking
false
7650
tol
0.0009840815042931443
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
18728514
description
https://www.openml.org/data/download/18728514/description.xml
-1
18728515
predictions
https://www.openml.org/data/download/18728515/predictions.arff
area_under_roc_curve
0.9116666666666666 [0.9975,0.894722,0.975833,0.955278,0.921944,0.974444,0.73,0.9575,0.988889,0.720556]
average_cost
0
f_measure
0.8407539436191162 [0.997494,0.81203,0.962217,0.917706,0.87468,0.950249,0.512438,0.900726,0.98,0.5]
kappa
0.8233333333333333
kb_relative_information_score
1667.4491180016548
mean_absolute_error
0.03180000000000018
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8408111364644738 [1,0.81407,0.969543,0.915423,0.895288,0.945545,0.509901,0.873239,0.98,0.505102]
predictive_accuracy
0.841
prior_entropy
3.321928094887362
recall
0.841 [0.995,0.81,0.955,0.92,0.855,0.955,0.515,0.93,0.98,0.495]
relative_absolute_error
0.17666666666666223
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.1783255450012706
root_relative_squared_error
0.5944184833375595
total_cost
0
area_under_roc_curve
0.9111111111111111 [0.975,0.930556,0.997222,0.95,0.941667,0.975,0.722222,0.894444,0.997222,0.727778]
area_under_roc_curve
0.9027777777777777 [1,0.891667,0.975,0.941667,0.891667,0.947222,0.697222,0.963889,0.975,0.744444]
area_under_roc_curve
0.9166666666666667 [1,0.936111,1,0.922222,0.963889,0.972222,0.747222,0.922222,1,0.702778]
area_under_roc_curve
0.9416666666666668 [1,0.919444,0.975,0.991667,0.997222,0.975,0.852778,0.947222,0.975,0.783333]
area_under_roc_curve
0.8888888888888888 [1,0.833333,0.95,0.919444,0.897222,0.991667,0.644444,0.963889,1,0.688889]
area_under_roc_curve
0.9194444444444443 [1,0.919444,0.972222,0.919444,0.894444,0.994444,0.772222,0.994444,1,0.727778]
area_under_roc_curve
0.9138888888888888 [1,0.866667,0.95,0.966667,0.894444,0.969444,0.822222,0.988889,0.997222,0.683333]
area_under_roc_curve
0.925 [1,0.897222,0.997222,0.994444,0.894444,0.975,0.775,0.966667,0.997222,0.752778]
area_under_roc_curve
0.9222222222222222 [1,0.894444,1,0.997222,0.972222,0.975,0.608333,0.994444,1,0.780556]
area_under_roc_curve
0.875 [1,0.858333,0.941667,0.95,0.872222,0.969444,0.658333,0.938889,0.947222,0.613889]
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
0.8393775715085084 [0.974359,0.8,0.97561,0.947368,0.878049,0.974359,0.5,0.842105,0.97561,0.526316]
f_measure
0.8259938208888862 [1,0.820513,0.974359,0.878049,0.820513,0.923077,0.461538,0.883721,0.974359,0.52381]
f_measure
0.8483475769108811 [1,0.837209,1,0.894737,0.883721,0.95,0.536585,0.894737,1,0.486486]
f_measure
0.8953044398158885 [1,0.871795,0.974359,0.930233,0.97561,0.974359,0.697674,0.923077,0.974359,0.631579]
f_measure
0.7994974127287469 [1,0.7,0.947368,0.871795,0.864865,0.930233,0.368421,0.883721,1,0.428571]
f_measure
0.8538201272411798 [1,0.871795,0.95,0.871795,0.842105,0.952381,0.571429,0.952381,1,0.526316]
f_measure
0.8402191078321863 [1,0.789474,0.947368,0.904762,0.842105,0.926829,0.636364,0.909091,0.97561,0.470588]
f_measure
0.8639159889480813 [1,0.864865,0.97561,0.952381,0.842105,0.974359,0.585366,0.904762,0.97561,0.564103]
f_measure
0.8547647836054633 [1,0.842105,1,0.97561,0.95,0.974359,0.322581,0.952381,1,0.530612]
f_measure
0.7777292231407524 [1,0.731707,0.878049,0.947368,0.833333,0.926829,0.372093,0.857143,0.923077,0.307692]
kappa
0.8222222222222222
kappa
0.8055555555555555
kappa
0.8333333333333333
kappa
0.8833333333333333
kappa
0.7777777777777778
kappa
0.8388888888888889
kappa
0.8277777777777777
kappa
0.85
kappa
0.8444444444444444
kappa
0.75
kb_relative_information_score
166.5357603020585
kb_relative_information_score
163.39848783037652
kb_relative_information_score
168.6272752831798
kb_relative_information_score
178.03909269822577
kb_relative_information_score
158.16970037757324
kb_relative_information_score
169.67303277374046
kb_relative_information_score
167.58151779261917
kb_relative_information_score
171.7645477548618
kb_relative_information_score
170.71879026430113
kb_relative_information_score
152.94091292476992
mean_absolute_error
0.032000000000000015
mean_absolute_error
0.03500000000000002
mean_absolute_error
0.030000000000000013
mean_absolute_error
0.021000000000000005
mean_absolute_error
0.040000000000000015
mean_absolute_error
0.029000000000000012
mean_absolute_error
0.031000000000000014
mean_absolute_error
0.02700000000000001
mean_absolute_error
0.02800000000000001
mean_absolute_error
0.045
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
0.8426349206349205 [1,0.72,0.952381,1,0.857143,1,0.5,0.888889,0.952381,0.555556]
precision
0.8288492971559333 [1,0.842105,1,0.857143,0.842105,0.947368,0.473684,0.826087,1,0.5]
precision
0.850080582957821 [1,0.782609,1,0.944444,0.826087,0.95,0.52381,0.944444,1,0.529412]
precision
0.8982892012640297 [1,0.894737,1,0.869565,0.952381,1,0.652174,0.947368,1,0.666667]
precision
0.8029545284586339 [1,0.7,1,0.894737,0.941176,0.869565,0.388889,0.826087,1,0.409091]
precision
0.8547554492291334 [1,0.894737,0.95,0.894737,0.888889,0.909091,0.545455,0.909091,1,0.555556]
precision
0.843109668109668 [1,0.833333,1,0.863636,0.888889,0.904762,0.583333,0.833333,0.952381,0.571429]
precision
0.8657930476815925 [1,0.941176,0.952381,0.909091,0.888889,1,0.571429,0.863636,0.952381,0.578947]
precision
0.8603182066975169 [1,0.888889,1,0.952381,0.95,1,0.454545,0.909091,1,0.448276]
precision
0.784285627606566 [1,0.714286,0.857143,1,0.9375,0.904762,0.347826,0.818182,0.947368,0.315789]
predictive_accuracy
0.84
predictive_accuracy
0.825
predictive_accuracy
0.85
predictive_accuracy
0.895
predictive_accuracy
0.8
predictive_accuracy
0.855
predictive_accuracy
0.845
predictive_accuracy
0.865
predictive_accuracy
0.86
predictive_accuracy
0.775
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
0.84 [0.95,0.9,1,0.9,0.9,0.95,0.5,0.8,1,0.5]
recall
0.825 [1,0.8,0.95,0.9,0.8,0.9,0.45,0.95,0.95,0.55]
recall
0.85 [1,0.9,1,0.85,0.95,0.95,0.55,0.85,1,0.45]
recall
0.895 [1,0.85,0.95,1,1,0.95,0.75,0.9,0.95,0.6]
recall
0.8 [1,0.7,0.9,0.85,0.8,1,0.35,0.95,1,0.45]
recall
0.855 [1,0.85,0.95,0.85,0.8,1,0.6,1,1,0.5]
recall
0.845 [1,0.75,0.9,0.95,0.8,0.95,0.7,1,1,0.4]
recall
0.865 [1,0.8,1,1,0.8,0.95,0.6,0.95,1,0.55]
recall
0.86 [1,0.8,1,1,0.95,0.95,0.25,1,1,0.65]
recall
0.775 [1,0.75,0.9,0.9,0.75,0.95,0.4,0.9,0.9,0.3]
relative_absolute_error
0.17777777777777806
relative_absolute_error
0.19444444444444475
relative_absolute_error
0.16666666666666693
relative_absolute_error
0.11666666666666682
relative_absolute_error
0.22222222222222257
relative_absolute_error
0.16111111111111134
relative_absolute_error
0.1722222222222225
relative_absolute_error
0.15000000000000024
relative_absolute_error
0.15555555555555578
relative_absolute_error
0.2500000000000003
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
0.1788854381999832
root_mean_squared_error
0.1870828693386971
root_mean_squared_error
0.17320508075688776
root_mean_squared_error
0.1449137674618944
root_mean_squared_error
0.20000000000000004
root_mean_squared_error
0.17029386365926405
root_mean_squared_error
0.17606816861659014
root_mean_squared_error
0.16431676725154987
root_mean_squared_error
0.16733200530681513
root_mean_squared_error
0.21213203435596426
root_relative_squared_error
0.5962847939999444
root_relative_squared_error
0.6236095644623241
root_relative_squared_error
0.5773502691896262
root_relative_squared_error
0.48304589153964833
root_relative_squared_error
0.6666666666666672
root_relative_squared_error
0.5676462121975472
root_relative_squared_error
0.5868938953886341
root_relative_squared_error
0.5477225575051665
root_relative_squared_error
0.5577733510227175
root_relative_squared_error
0.707106781186548
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
3272.207976999198
usercpu_time_millis
2972.4995160004255
usercpu_time_millis
3241.7632370006686
usercpu_time_millis
3129.387408000184
usercpu_time_millis
3467.5766589998602
usercpu_time_millis
3310.8412529991256
usercpu_time_millis
3287.7957179998702
usercpu_time_millis
3375.426485000389
usercpu_time_millis
3436.978631000784
usercpu_time_millis
3308.265809000659
usercpu_time_millis_testing
35.110075999909895
usercpu_time_millis_testing
41.36616100004176
usercpu_time_millis_testing
38.366234000022814
usercpu_time_millis_testing
43.34448200006591
usercpu_time_millis_testing
40.88034400047036
usercpu_time_millis_testing
41.47724399990693
usercpu_time_millis_testing
42.30090900000505
usercpu_time_millis_testing
41.48746100054268
usercpu_time_millis_testing
39.3922860002931
usercpu_time_millis_testing
40.620146000037494
usercpu_time_millis_training
3237.097900999288
usercpu_time_millis_training
2931.1333550003837
usercpu_time_millis_training
3203.397003000646
usercpu_time_millis_training
3086.0429260001183
usercpu_time_millis_training
3426.69631499939
usercpu_time_millis_training
3269.3640089992186
usercpu_time_millis_training
3245.494808999865
usercpu_time_millis_training
3333.9390239998465
usercpu_time_millis_training
3397.586345000491
usercpu_time_millis_training
3267.6456630006214