8911031
1935
Hilde Weerts
14
Supervised Classification
8315
sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.ensemble.forest.RandomForestClassifier)(1)
6848287
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
bootstrap
false
7684
class_weight
null
7684
criterion
"gini"
7684
max_depth
null
7684
max_features
0.8875374569208283
7684
max_leaf_nodes
null
7684
min_impurity_decrease
0.0
7684
min_impurity_split
null
7684
min_samples_leaf
12
7684
min_samples_split
13
7684
min_weight_fraction_leaf
0.0
7684
n_estimators
500
7684
n_jobs
1
7684
oob_score
false
7684
random_state
1
7684
verbose
0
7684
warm_start
false
7684
memory
null
8315
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
openml-python
Sklearn_0.19.1.
study_98
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
18737748
description
https://api.openml.org/data/download/18737748/description.xml
-1
18737749
predictions
https://api.openml.org/data/download/18737749/predictions.arff
area_under_roc_curve
0.9704316666666666 [0.9997,0.95754,0.987585,0.973389,0.945142,0.9883,0.934053,0.985881,0.995017,0.937711]
average_cost
0
f_measure
0.7773573797765875 [0.975369,0.702326,0.888889,0.830287,0.69657,0.845771,0.531707,0.841346,0.934726,0.526582]
kappa
0.7516666666666666
kb_relative_information_score
1525.805090109966
mean_absolute_error
0.0611668881604154
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7804220970446464 [0.961165,0.656522,0.897959,0.868852,0.73743,0.841584,0.519048,0.810185,0.978142,0.533333]
predictive_accuracy
0.7765000000000001
prior_entropy
3.321928094887362
recall
0.7765 [0.99,0.755,0.88,0.795,0.66,0.85,0.545,0.875,0.895,0.52]
relative_absolute_error
0.33981604533563065
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.17545510910721165
root_relative_squared_error
0.5848503636906967
total_cost
0
area_under_roc_curve
0.9728055555555557 [0.999444,0.959167,0.985,0.981944,0.955278,0.998611,0.929167,0.97,0.996944,0.9525]
area_under_roc_curve
0.9666111111111111 [0.998889,0.973889,0.975278,0.986111,0.9075,0.984167,0.933889,0.981389,0.986111,0.938889]
area_under_roc_curve
0.9634166666666667 [1,0.952222,0.995556,0.9425,0.958056,0.985556,0.894167,0.984167,1,0.921944]
area_under_roc_curve
0.977777777777778 [1,0.944722,0.989167,0.991111,0.973889,0.997778,0.956944,0.99,0.9975,0.936667]
area_under_roc_curve
0.9794722222222222 [1,0.964167,0.998056,0.9925,0.973889,0.987778,0.944167,0.990556,0.996944,0.946667]
area_under_roc_curve
0.9773611111111111 [1,0.961944,1,0.972778,0.976389,0.991111,0.933611,0.993056,0.998056,0.946667]
area_under_roc_curve
0.9712777777777777 [1,0.975556,0.970556,0.980556,0.948889,0.981944,0.961389,0.983889,0.999444,0.910556]
area_under_roc_curve
0.9689722222222221 [1,0.963611,0.995278,0.942222,0.91,0.996111,0.943611,0.993056,0.9875,0.958333]
area_under_roc_curve
0.9740555555555556 [1,0.941111,0.998889,0.995833,0.942778,0.975833,0.941944,0.990833,1,0.953333]
area_under_roc_curve
0.959527777777778 [1,0.953889,0.979444,0.956944,0.913611,0.991111,0.906111,0.991389,0.991944,0.910833]
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
0.7630408680747945 [0.97561,0.693878,0.829268,0.864865,0.634146,0.864865,0.512821,0.722222,0.947368,0.585366]
f_measure
0.7486851274527783 [0.926829,0.761905,0.8,0.842105,0.666667,0.8,0.487805,0.780488,0.947368,0.473684]
f_measure
0.7369238503384845 [1,0.636364,0.918919,0.702703,0.681818,0.829268,0.358974,0.777778,0.97561,0.487805]
f_measure
0.7848896750289412 [1,0.634146,0.883721,0.85,0.697674,0.8,0.651163,0.829268,0.947368,0.555556]
f_measure
0.7774347782767161 [0.97561,0.615385,0.894737,0.878049,0.736842,0.820513,0.536585,0.826087,0.95,0.540541]
f_measure
0.811606940872696 [0.97561,0.8,0.952381,0.777778,0.75,0.878049,0.604651,0.930233,0.947368,0.5]
f_measure
0.7844417390983501 [0.97561,0.708333,0.857143,0.842105,0.727273,0.772727,0.682927,0.844444,0.947368,0.486486]
f_measure
0.7735807990459154 [0.974359,0.666667,0.923077,0.809524,0.666667,0.85,0.5,0.930233,0.857143,0.55814]
f_measure
0.8211644355879046 [1,0.789474,0.952381,0.9,0.705882,0.878049,0.5,0.863636,1,0.622222]
f_measure
0.7641171428933642 [0.952381,0.723404,0.871795,0.823529,0.702703,0.974359,0.465116,0.878049,0.810811,0.439024]
kappa
0.7333333333333334
kappa
0.7222222222222222
kappa
0.7055555555555556
kappa
0.7611111111111112
kappa
0.7555555555555555
kappa
0.7944444444444444
kappa
0.7611111111111112
kappa
0.7444444444444445
kappa
0.8055555555555555
kappa
0.7333333333333334
kb_relative_information_score
152.36833442276358
kb_relative_information_score
149.7474174086368
kb_relative_information_score
145.75361058061856
kb_relative_information_score
156.39457268844987
kb_relative_information_score
154.14093002467848
kb_relative_information_score
156.37629306476742
kb_relative_information_score
152.13993756852167
kb_relative_information_score
153.81017489759176
kb_relative_information_score
158.13134661794422
kb_relative_information_score
146.94247283599765
mean_absolute_error
0.06090624752233195
mean_absolute_error
0.06360689046009069
mean_absolute_error
0.06548254871427345
mean_absolute_error
0.057491634935324984
mean_absolute_error
0.06054540704378364
mean_absolute_error
0.05906134910127154
mean_absolute_error
0.06085853351428225
mean_absolute_error
0.060331425748214235
mean_absolute_error
0.05625839339106889
mean_absolute_error
0.06712645117351318
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
0.7759756579582832 [0.952381,0.586207,0.809524,0.941176,0.619048,0.941176,0.526316,0.8125,1,0.571429]
precision
0.7529018759018758 [0.904762,0.727273,0.8,0.888889,0.75,0.72,0.47619,0.761905,1,0.5]
precision
0.7454555506413091 [1,0.583333,1,0.764706,0.625,0.809524,0.368421,0.875,0.952381,0.47619]
precision
0.7923861283643894 [1,0.619048,0.826087,0.85,0.652174,0.933333,0.608696,0.809524,1,0.625]
precision
0.7798244290968748 [0.952381,0.631579,0.944444,0.857143,0.777778,0.842105,0.52381,0.730769,0.95,0.588235]
precision
0.814089732731037 [0.952381,0.8,0.909091,0.875,0.75,0.857143,0.565217,0.869565,1,0.5625]
precision
0.8035901386195505 [0.952381,0.607143,1,0.888889,0.923077,0.708333,0.666667,0.76,1,0.529412]
precision
0.7902250857456807 [1,0.636364,0.947368,0.772727,0.846154,0.85,0.458333,0.869565,1,0.521739]
precision
0.8270876623376623 [1,0.833333,0.909091,0.9,0.857143,0.857143,0.5625,0.791667,1,0.56]
precision
0.7801013098765154 [0.909091,0.62963,0.894737,1,0.764706,1,0.434783,0.857143,0.882353,0.428571]
predictive_accuracy
0.76
predictive_accuracy
0.75
predictive_accuracy
0.735
predictive_accuracy
0.785
predictive_accuracy
0.78
predictive_accuracy
0.815
predictive_accuracy
0.785
predictive_accuracy
0.77
predictive_accuracy
0.825
predictive_accuracy
0.76
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
0.76 [1,0.85,0.85,0.8,0.65,0.8,0.5,0.65,0.9,0.6]
recall
0.75 [0.95,0.8,0.8,0.8,0.6,0.9,0.5,0.8,0.9,0.45]
recall
0.735 [1,0.7,0.85,0.65,0.75,0.85,0.35,0.7,1,0.5]
recall
0.785 [1,0.65,0.95,0.85,0.75,0.7,0.7,0.85,0.9,0.5]
recall
0.78 [1,0.6,0.85,0.9,0.7,0.8,0.55,0.95,0.95,0.5]
recall
0.815 [1,0.8,1,0.7,0.75,0.9,0.65,1,0.9,0.45]
recall
0.785 [1,0.85,0.75,0.8,0.6,0.85,0.7,0.95,0.9,0.45]
recall
0.77 [0.95,0.7,0.9,0.85,0.55,0.85,0.55,1,0.75,0.6]
recall
0.825 [1,0.75,1,0.9,0.6,0.9,0.45,0.95,1,0.7]
recall
0.76 [1,0.85,0.85,0.7,0.65,0.95,0.5,0.9,0.75,0.45]
relative_absolute_error
0.3383680417907334
relative_absolute_error
0.35337161366717085
relative_absolute_error
0.36379193730151954
relative_absolute_error
0.31939797186291696
relative_absolute_error
0.33636337246546505
relative_absolute_error
0.32811860611817556
relative_absolute_error
0.3381029639682351
relative_absolute_error
0.33517458749007945
relative_absolute_error
0.31254662995038307
relative_absolute_error
0.3729247287417403
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
0.1768869903373673
root_mean_squared_error
0.18473963846649086
root_mean_squared_error
0.1898268227919032
root_mean_squared_error
0.1659776969599555
root_mean_squared_error
0.172621272916469
root_mean_squared_error
0.1653058536045329
root_mean_squared_error
0.17577254433984604
root_mean_squared_error
0.17086138381748545
root_mean_squared_error
0.16396664603561217
root_mean_squared_error
0.18640172550803266
root_relative_squared_error
0.589623301124558
root_relative_squared_error
0.6157987948883031
root_relative_squared_error
0.632756075973011
root_relative_squared_error
0.5532589898665187
root_relative_squared_error
0.5754042430548971
root_relative_squared_error
0.55101951201511
root_relative_squared_error
0.5859084811328205
root_relative_squared_error
0.5695379460582851
root_relative_squared_error
0.5465554867853742
root_relative_squared_error
0.621339085026776
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
61997.19575299991
usercpu_time_millis
61047.668960999996
usercpu_time_millis
61183.19867800005
usercpu_time_millis
61603.62877599994
usercpu_time_millis
60632.294039000044
usercpu_time_millis
62703.78557499999
usercpu_time_millis
61413.66343599997
usercpu_time_millis
61299.202556999946
usercpu_time_millis
61524.241930000244
usercpu_time_millis
62114.406952000085
usercpu_time_millis_testing
88.85363499996402
usercpu_time_millis_testing
88.54877199996736
usercpu_time_millis_testing
87.26396600002317
usercpu_time_millis_testing
87.81554699999106
usercpu_time_millis_testing
86.80434200005038
usercpu_time_millis_testing
85.4347780000353
usercpu_time_millis_testing
87.19132800001717
usercpu_time_millis_testing
86.89892899997176
usercpu_time_millis_testing
87.30257400020491
usercpu_time_millis_testing
87.96912900015741
usercpu_time_millis_training
61908.34211799995
usercpu_time_millis_training
60959.12018900003
usercpu_time_millis_training
61095.93471200003
usercpu_time_millis_training
61515.81322899995
usercpu_time_millis_training
60545.489697
usercpu_time_millis_training
62618.35079699995
usercpu_time_millis_training
61326.47210799996
usercpu_time_millis_training
61212.30362799997
usercpu_time_millis_training
61436.93935600004
usercpu_time_millis_training
62026.43782299993