8906094
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)
6843608
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
0.40319273153458496
7650
cache_size
200
7650
class_weight
null
7650
coef0
0.1844770768163816
7650
decision_function_shape
"ovr"
7650
degree
3
7650
gamma
0.00030489230981428574
7650
kernel
"rbf"
7650
max_iter
-1
7650
probability
false
7650
random_state
1
7650
shrinking
true
7650
tol
5.46900483427784e-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
18727924
description
https://www.openml.org/data/download/18727924/description.xml
-1
18727925
predictions
https://www.openml.org/data/download/18727925/predictions.arff
area_under_roc_curve
0.8427777777777778 [0.9575,0.841111,0.926111,0.821667,0.757222,0.908889,0.65,0.843889,0.978889,0.7425]
average_cost
0
f_measure
0.7169887163603628 [0.955614,0.626556,0.857143,0.760234,0.622093,0.823529,0.4,0.743455,0.899083,0.48218]
kappa
0.6855555555555556
kb_relative_information_score
1408.1012603426318
mean_absolute_error
0.05660000000000053
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7357967003460885 [1,0.535461,0.84466,0.915493,0.743056,0.807692,0.485714,0.78022,0.830508,0.415162]
predictive_accuracy
0.7170000000000001
prior_entropy
3.321928094887362
recall
0.717 [0.915,0.755,0.87,0.65,0.535,0.84,0.34,0.71,0.98,0.575]
relative_absolute_error
0.3144444444444377
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.2379075450674075
root_relative_squared_error
0.7930251502246796
total_cost
0
area_under_roc_curve
0.8166666666666665 [0.95,0.833333,0.875,0.85,0.797222,0.969444,0.538889,0.738889,0.986111,0.627778]
area_under_roc_curve
0.8527777777777777 [1,0.888889,0.936111,0.85,0.725,0.913889,0.675,0.788889,0.966667,0.783333]
area_under_roc_curve
0.8305555555555556 [0.9,0.819444,0.894444,0.794444,0.811111,0.841667,0.661111,0.819444,0.991667,0.772222]
area_under_roc_curve
0.8444444444444444 [0.925,0.772222,0.966667,0.869444,0.780556,0.886111,0.677778,0.838889,0.958333,0.769444]
area_under_roc_curve
0.8305555555555556 [0.975,0.741667,0.894444,0.769444,0.752778,0.905556,0.658333,0.908333,0.988889,0.711111]
area_under_roc_curve
0.8527777777777779 [0.975,0.869444,0.991667,0.841667,0.691667,0.927778,0.611111,0.888889,0.991667,0.738889]
area_under_roc_curve
0.8694444444444445 [0.975,0.841667,0.922222,0.919444,0.741667,0.841667,0.736111,0.936111,0.991667,0.788889]
area_under_roc_curve
0.8777777777777779 [0.975,0.894444,0.919444,0.872222,0.744444,0.916667,0.755556,0.891667,0.991667,0.816667]
area_under_roc_curve
0.825 [0.9,0.855556,0.947222,0.7,0.711111,0.911111,0.588889,0.838889,0.986111,0.811111]
area_under_roc_curve
0.8277777777777777 [1,0.894444,0.913889,0.75,0.816667,0.975,0.597222,0.788889,0.936111,0.605556]
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
0.669808360734888 [0.947368,0.6,0.711111,0.823529,0.727273,0.926829,0.166667,0.588235,0.888889,0.318182]
f_measure
0.7336224332473297 [1,0.68,0.837209,0.823529,0.62069,0.829268,0.432432,0.666667,0.904762,0.541667]
f_measure
0.7033888034511729 [0.888889,0.545455,0.842105,0.705882,0.684211,0.756757,0.4375,0.742857,0.930233,0.5]
f_measure
0.7185663155218637 [0.918919,0.571429,0.904762,0.810811,0.615385,0.780488,0.444444,0.736842,0.844444,0.55814]
f_measure
0.691016511028751 [0.974359,0.511628,0.842105,0.666667,0.564103,0.772727,0.424242,0.790698,0.909091,0.454545]
f_measure
0.720450297246816 [0.974359,0.680851,0.930233,0.756757,0.516129,0.782609,0.333333,0.8,0.930233,0.5]
f_measure
0.7646093746614934 [0.974359,0.638298,0.894737,0.871795,0.606061,0.756757,0.571429,0.837209,0.930233,0.565217]
f_measure
0.7801208912067833 [0.974359,0.708333,0.871795,0.833333,0.625,0.85,0.578947,0.820513,0.930233,0.608696]
f_measure
0.6766401232185367 [0.888889,0.615385,0.923077,0.571429,0.529412,0.809524,0.285714,0.736842,0.888889,0.517241]
f_measure
0.6959670513201427 [1,0.708333,0.829268,0.666667,0.722222,0.974359,0.285714,0.666667,0.837209,0.269231]
kappa
0.6333333333333334
kappa
0.7055555555555556
kappa
0.6611111111111111
kappa
0.6888888888888889
kappa
0.6611111111111111
kappa
0.7055555555555556
kappa
0.7388888888888889
kappa
0.7555555555555555
kappa
0.65
kappa
0.6555555555555556
kb_relative_information_score
130.98000562299575
kb_relative_information_score
144.57485300028452
kb_relative_information_score
136.20879307579912
kb_relative_information_score
141.4375805286025
kb_relative_information_score
136.20879307579912
kb_relative_information_score
144.57485300028452
kb_relative_information_score
150.84939794364857
kb_relative_information_score
153.98667041533062
kb_relative_information_score
134.11727809467777
kb_relative_information_score
135.16303558523842
mean_absolute_error
0.06599999999999992
mean_absolute_error
0.05299999999999997
mean_absolute_error
0.06099999999999994
mean_absolute_error
0.05599999999999996
mean_absolute_error
0.06099999999999994
mean_absolute_error
0.05299999999999997
mean_absolute_error
0.04699999999999999
mean_absolute_error
0.044000000000000004
mean_absolute_error
0.06299999999999993
mean_absolute_error
0.06199999999999994
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
0.696129120879121 [1,0.5,0.64,1,0.923077,0.904762,0.1875,0.714286,0.8,0.291667]
precision
0.7707309485058844 [1,0.566667,0.782609,1,1,0.809524,0.470588,0.75,0.863636,0.464286]
precision
0.7446170025981408 [1,0.428571,0.888889,0.857143,0.722222,0.823529,0.583333,0.866667,0.869565,0.40625]
precision
0.7244444467753124 [1,0.545455,0.863636,0.882353,0.631579,0.761905,0.5,0.777778,0.76,0.521739]
precision
0.7028176279606487 [1,0.478261,0.888889,0.846154,0.578947,0.708333,0.538462,0.73913,0.833333,0.416667]
precision
0.7333166192053661 [1,0.592593,0.869565,0.823529,0.727273,0.692308,0.5,0.8,0.869565,0.458333]
precision
0.7806337602810883 [1,0.555556,0.944444,0.894737,0.769231,0.823529,0.666667,0.782609,0.869565,0.5]
precision
0.7983956162703304 [1,0.607143,0.894737,0.9375,0.833333,0.85,0.611111,0.842105,0.869565,0.538462]
precision
0.7335467456520088 [1,0.5,0.947368,1,0.642857,0.772727,0.5,0.777778,0.8,0.394737]
precision
0.7313858695652173 [1,0.607143,0.809524,1,0.8125,1,0.333333,0.75,0.782609,0.21875]
predictive_accuracy
0.67
predictive_accuracy
0.735
predictive_accuracy
0.695
predictive_accuracy
0.72
predictive_accuracy
0.695
predictive_accuracy
0.735
predictive_accuracy
0.765
predictive_accuracy
0.78
predictive_accuracy
0.685
predictive_accuracy
0.69
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
0.67 [0.9,0.75,0.8,0.7,0.6,0.95,0.15,0.5,1,0.35]
recall
0.735 [1,0.85,0.9,0.7,0.45,0.85,0.4,0.6,0.95,0.65]
recall
0.695 [0.8,0.75,0.8,0.6,0.65,0.7,0.35,0.65,1,0.65]
recall
0.72 [0.85,0.6,0.95,0.75,0.6,0.8,0.4,0.7,0.95,0.6]
recall
0.695 [0.95,0.55,0.8,0.55,0.55,0.85,0.35,0.85,1,0.5]
recall
0.735 [0.95,0.8,1,0.7,0.4,0.9,0.25,0.8,1,0.55]
recall
0.765 [0.95,0.75,0.85,0.85,0.5,0.7,0.5,0.9,1,0.65]
recall
0.78 [0.95,0.85,0.85,0.75,0.5,0.85,0.55,0.8,1,0.7]
recall
0.685 [0.8,0.8,0.9,0.4,0.45,0.85,0.2,0.7,1,0.75]
recall
0.69 [1,0.85,0.85,0.5,0.65,0.95,0.25,0.6,0.9,0.35]
relative_absolute_error
0.36666666666666664
relative_absolute_error
0.2944444444444446
relative_absolute_error
0.3388888888888889
relative_absolute_error
0.3111111111111112
relative_absolute_error
0.3388888888888889
relative_absolute_error
0.2944444444444446
relative_absolute_error
0.26111111111111135
relative_absolute_error
0.24444444444444474
relative_absolute_error
0.35
relative_absolute_error
0.3444444444444445
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
0.25690465157330244
root_mean_squared_error
0.2302172886644267
root_mean_squared_error
0.24698178070456928
root_mean_squared_error
0.23664319132398456
root_mean_squared_error
0.24698178070456928
root_mean_squared_error
0.2302172886644267
root_mean_squared_error
0.21679483388678797
root_mean_squared_error
0.20976176963403032
root_mean_squared_error
0.25099800796022254
root_mean_squared_error
0.2489979919597745
root_relative_squared_error
0.8563488385776753
root_relative_squared_error
0.7673909622147562
root_relative_squared_error
0.8232726023485647
root_relative_squared_error
0.7888106377466158
root_relative_squared_error
0.8232726023485647
root_relative_squared_error
0.7673909622147562
root_relative_squared_error
0.7226494462892937
root_relative_squared_error
0.6992058987801015
root_relative_squared_error
0.8366600265340756
root_relative_squared_error
0.8299933065325821
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
3135.0267870002426
usercpu_time_millis
2788.9484740003354
usercpu_time_millis
2756.9518910004263
usercpu_time_millis
2957.077202000164
usercpu_time_millis
3050.19160799975
usercpu_time_millis
3551.092090000111
usercpu_time_millis
3543.7355330000173
usercpu_time_millis
3668.3276649996515
usercpu_time_millis
3558.8034490006066
usercpu_time_millis
3648.4645829996225
usercpu_time_millis_testing
46.6665720000492
usercpu_time_millis_testing
46.15908300002047
usercpu_time_millis_testing
44.90545600037876
usercpu_time_millis_testing
47.23904299999049
usercpu_time_millis_testing
52.39963399981207
usercpu_time_millis_testing
55.219925000074
usercpu_time_millis_testing
54.097594000268145
usercpu_time_millis_testing
53.83997799981444
usercpu_time_millis_testing
55.70623100038574
usercpu_time_millis_testing
61.38118299986672
usercpu_time_millis_training
3088.3602150001934
usercpu_time_millis_training
2742.789391000315
usercpu_time_millis_training
2712.0464350000475
usercpu_time_millis_training
2909.8381590001736
usercpu_time_millis_training
2997.791973999938
usercpu_time_millis_training
3495.872165000037
usercpu_time_millis_training
3489.637938999749
usercpu_time_millis_training
3614.487686999837
usercpu_time_millis_training
3503.097218000221
usercpu_time_millis_training
3587.083399999756