8905975
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)
6843503
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
252.64773160916945
7650
cache_size
200
7650
class_weight
null
7650
coef0
0.6490491708295152
7650
decision_function_shape
"ovr"
7650
degree
3
7650
gamma
0.10033418065157697
7650
kernel
"rbf"
7650
max_iter
-1
7650
probability
false
7650
random_state
1
7650
shrinking
false
7650
tol
0.003946359843860781
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
18727688
description
https://api.openml.org/data/download/18727688/description.xml
-1
18727689
predictions
https://api.openml.org/data/download/18727689/predictions.arff
area_under_roc_curve
0.823611111111111 [0.92,0.809167,0.888889,0.843333,0.863056,0.898056,0.654722,0.810556,0.899722,0.648611]
average_cost
0
f_measure
0.694555409062053 [0.913043,0.74184,0.866667,0.769231,0.688742,0.5346,0.408163,0.736842,0.886427,0.4]
kappa
0.6472222222222223
kb_relative_information_score
1335.943993493951
mean_absolute_error
0.06350000000000064
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7591440521973781 [1,0.912409,0.975,0.853659,0.616601,0.366853,0.48951,0.887324,0.993789,0.496296]
predictive_accuracy
0.6825
prior_entropy
3.321928094887362
recall
0.6825 [0.84,0.625,0.78,0.7,0.78,0.985,0.35,0.63,0.8,0.335]
relative_absolute_error
0.3527777777777705
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.2519920633670843
root_relative_squared_error
0.8399735445569347
total_cost
0
area_under_roc_curve
0.8194444444444444 [0.9,0.913889,0.85,0.847222,0.913889,0.85,0.638889,0.8,0.8,0.680556]
area_under_roc_curve
0.8472222222222223 [0.95,0.719444,0.9,0.936111,0.927778,0.936111,0.677778,0.797222,0.95,0.677778]
area_under_roc_curve
0.811111111111111 [0.9,0.847222,0.85,0.741667,0.825,0.863889,0.702778,0.797222,0.95,0.633333]
area_under_roc_curve
0.825 [0.9,0.747222,0.875,0.844444,0.877778,0.894444,0.775,0.769444,0.925,0.641667]
area_under_roc_curve
0.7888888888888889 [0.925,0.772222,0.85,0.866667,0.777778,0.883333,0.572222,0.841667,0.825,0.575]
area_under_roc_curve
0.8416666666666667 [0.95,0.85,0.975,0.722222,0.888889,0.919444,0.608333,0.872222,0.975,0.655556]
area_under_roc_curve
0.8194444444444445 [0.875,0.794444,0.925,0.913889,0.805556,0.891667,0.658333,0.791667,0.922222,0.616667]
area_under_roc_curve
0.8444444444444443 [0.925,0.85,0.897222,0.822222,0.888889,0.938889,0.75,0.869444,0.8,0.702778]
area_under_roc_curve
0.8472222222222223 [0.925,0.747222,0.95,0.963889,0.936111,0.911111,0.563889,0.772222,0.975,0.727778]
area_under_roc_curve
0.7916666666666665 [0.95,0.85,0.816667,0.775,0.788889,0.891667,0.6,0.794444,0.875,0.575]
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
0.6980478695543257 [0.888889,0.829268,0.823529,0.8,0.829268,0.452381,0.4,0.75,0.75,0.457143]
f_measure
0.7235171141344481 [0.947368,0.580645,0.888889,0.837209,0.782609,0.634921,0.444444,0.727273,0.947368,0.444444]
f_measure
0.6786781990451568 [0.888889,0.8,0.823529,0.606061,0.651163,0.481013,0.486486,0.727273,0.947368,0.375]
f_measure
0.6993808596917743 [0.888889,0.645161,0.857143,0.777778,0.727273,0.512821,0.585366,0.666667,0.918919,0.413793]
f_measure
0.6329580797649776 [0.918919,0.6875,0.823529,0.789474,0.6,0.487805,0.235294,0.756757,0.787879,0.242424]
f_measure
0.7147004610839798 [0.947368,0.823529,0.974359,0.6,0.68,0.57971,0.322581,0.833333,0.974359,0.411765]
f_measure
0.6829377944814758 [0.857143,0.705882,0.918919,0.829268,0.65,0.506329,0.424242,0.685714,0.894737,0.357143]
f_measure
0.729447766552131 [0.918919,0.823529,0.864865,0.764706,0.68,0.645161,0.55,0.810811,0.75,0.486486]
f_measure
0.7135450904463493 [0.918919,0.645161,0.947368,0.883721,0.716981,0.612903,0.222222,0.6875,0.974359,0.526316]
f_measure
0.6373911079189896 [0.947368,0.823529,0.722222,0.709677,0.565217,0.506329,0.294118,0.705882,0.857143,0.242424]
kappa
0.638888888888889
kappa
0.6944444444444444
kappa
0.6222222222222222
kappa
0.65
kappa
0.5777777777777778
kappa
0.6833333333333333
kappa
0.638888888888889
kappa
0.6888888888888889
kappa
0.6944444444444444
kappa
0.5833333333333334
kb_relative_information_score
132.02576311355642
kb_relative_information_score
142.48333801916317
kb_relative_information_score
128.88849064187437
kb_relative_information_score
134.11727809467777
kb_relative_information_score
120.52243071738899
kb_relative_information_score
140.39182303804182
kb_relative_information_score
132.02576311355642
kb_relative_information_score
141.4375805286025
kb_relative_information_score
142.48333801916317
kb_relative_information_score
121.56818820794965
mean_absolute_error
0.06499999999999993
mean_absolute_error
0.054999999999999966
mean_absolute_error
0.06799999999999992
mean_absolute_error
0.06299999999999993
mean_absolute_error
0.07599999999999989
mean_absolute_error
0.05699999999999996
mean_absolute_error
0.06499999999999993
mean_absolute_error
0.05599999999999996
mean_absolute_error
0.054999999999999966
mean_absolute_error
0.0749999999999999
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
0.7982589285714284 [1,0.809524,1,0.933333,0.809524,0.296875,0.6,1,1,0.533333]
precision
0.7681291408288375 [1,0.818182,1,0.782609,0.692308,0.465116,0.5,0.923077,1,0.5]
precision
0.7585782340825906 [1,0.933333,1,0.769231,0.608696,0.322034,0.529412,0.923077,1,0.5]
precision
0.7879834246213558 [1,0.909091,1,0.875,0.666667,0.344828,0.571429,0.846154,1,0.666667]
precision
0.708951665033259 [1,0.916667,1,0.833333,0.6,0.322581,0.285714,0.823529,1,0.307692]
precision
0.7766875386518244 [1,1,1,0.9,0.566667,0.408163,0.454545,0.9375,1,0.5]
precision
0.7563555700420107 [1,0.857143,1,0.809524,0.65,0.338983,0.538462,0.8,0.944444,0.625]
precision
0.7874369747899159 [1,1,0.941176,0.928571,0.566667,0.47619,0.55,0.882353,1,0.529412]
precision
0.7664110044544827 [1,0.909091,1,0.826087,0.575758,0.452381,0.428571,0.916667,1,0.555556]
precision
0.7173461072825479 [1,1,0.8125,1,0.5,0.338983,0.357143,0.857143,1,0.307692]
predictive_accuracy
0.675
predictive_accuracy
0.725
predictive_accuracy
0.66
predictive_accuracy
0.685
predictive_accuracy
0.62
predictive_accuracy
0.715
predictive_accuracy
0.675
predictive_accuracy
0.72
predictive_accuracy
0.725
predictive_accuracy
0.625
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
0.675 [0.8,0.85,0.7,0.7,0.85,0.95,0.3,0.6,0.6,0.4]
recall
0.725 [0.9,0.45,0.8,0.9,0.9,1,0.4,0.6,0.9,0.4]
recall
0.66 [0.8,0.7,0.7,0.5,0.7,0.95,0.45,0.6,0.9,0.3]
recall
0.685 [0.8,0.5,0.75,0.7,0.8,1,0.6,0.55,0.85,0.3]
recall
0.62 [0.85,0.55,0.7,0.75,0.6,1,0.2,0.7,0.65,0.2]
recall
0.715 [0.9,0.7,0.95,0.45,0.85,1,0.25,0.75,0.95,0.35]
recall
0.675 [0.75,0.6,0.85,0.85,0.65,1,0.35,0.6,0.85,0.25]
recall
0.72 [0.85,0.7,0.8,0.65,0.85,1,0.55,0.75,0.6,0.45]
recall
0.725 [0.85,0.5,0.9,0.95,0.95,0.95,0.15,0.55,0.95,0.5]
recall
0.625 [0.9,0.7,0.65,0.55,0.65,1,0.25,0.6,0.75,0.2]
relative_absolute_error
0.36111111111111116
relative_absolute_error
0.3055555555555557
relative_absolute_error
0.3777777777777777
relative_absolute_error
0.35
relative_absolute_error
0.42222222222222205
relative_absolute_error
0.31666666666666676
relative_absolute_error
0.36111111111111116
relative_absolute_error
0.3111111111111112
relative_absolute_error
0.3055555555555557
relative_absolute_error
0.4166666666666666
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
0.2549509756796391
root_mean_squared_error
0.2345207879911714
root_mean_squared_error
0.2607680962081058
root_mean_squared_error
0.25099800796022254
root_mean_squared_error
0.2756809750418042
root_mean_squared_error
0.23874672772626634
root_mean_squared_error
0.2549509756796391
root_mean_squared_error
0.23664319132398456
root_mean_squared_error
0.2345207879911714
root_mean_squared_error
0.27386127875258287
root_relative_squared_error
0.8498365855987976
root_relative_squared_error
0.7817359599705718
root_relative_squared_error
0.8692269873603533
root_relative_squared_error
0.8366600265340756
root_relative_squared_error
0.9189365834726813
root_relative_squared_error
0.7958224257542216
root_relative_squared_error
0.8498365855987976
root_relative_squared_error
0.7888106377466158
root_relative_squared_error
0.7817359599705718
root_relative_squared_error
0.9128709291752767
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
3584.3946509999114
usercpu_time_millis
3523.834373000227
usercpu_time_millis
3074.1391639999165
usercpu_time_millis
3025.278021000304
usercpu_time_millis
3120.6827589994646
usercpu_time_millis
3820.245839999643
usercpu_time_millis
3355.1250949999485
usercpu_time_millis
2930.7152270002916
usercpu_time_millis
3003.044265999506
usercpu_time_millis
3726.9925250002416
usercpu_time_millis_testing
50.417220999861456
usercpu_time_millis_testing
44.96896499995273
usercpu_time_millis_testing
43.22421000006216
usercpu_time_millis_testing
45.68557900029191
usercpu_time_millis_testing
50.66435599974284
usercpu_time_millis_testing
44.8562269998547
usercpu_time_millis_testing
44.54408599985982
usercpu_time_millis_testing
43.43175800022436
usercpu_time_millis_testing
44.235401999685564
usercpu_time_millis_testing
52.43403200029206
usercpu_time_millis_training
3533.97743000005
usercpu_time_millis_training
3478.8654080002743
usercpu_time_millis_training
3030.9149539998543
usercpu_time_millis_training
2979.592442000012
usercpu_time_millis_training
3070.0184029997217
usercpu_time_millis_training
3775.3896129997884
usercpu_time_millis_training
3310.5810090000887
usercpu_time_millis_training
2887.2834690000673
usercpu_time_millis_training
2958.8088639998205
usercpu_time_millis_training
3674.5584929999495