8916452
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)
6853473
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
true
7684
class_weight
null
7684
criterion
"entropy"
7684
max_depth
null
7684
max_features
0.32876617451470913
7684
max_leaf_nodes
null
7684
min_impurity_decrease
0.0
7684
min_impurity_split
null
7684
min_samples_leaf
11
7684
min_samples_split
5
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
18748540
description
https://api.openml.org/data/download/18748540/description.xml
-1
18748541
predictions
https://api.openml.org/data/download/18748541/predictions.arff
area_under_roc_curve
0.9819538888888889 [0.999994,0.975244,0.996425,0.991303,0.977461,0.992325,0.947394,0.992647,0.9987,0.948044]
average_cost
0
f_measure
0.8238163037151951 [0.995,0.777494,0.933661,0.887179,0.801034,0.901478,0.553616,0.88,0.954545,0.554156]
kappa
0.805
kb_relative_information_score
1520.6169172203167
mean_absolute_error
0.07087507685048126
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8242450016044788 [0.995,0.795812,0.917874,0.910526,0.828877,0.88835,0.552239,0.831111,0.964286,0.558376]
predictive_accuracy
0.8245
prior_entropy
3.321928094887362
recall
0.8245 [0.995,0.76,0.95,0.865,0.775,0.915,0.555,0.935,0.945,0.55]
relative_absolute_error
0.393750426947106
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.16537351224785668
root_relative_squared_error
0.5512450408261804
total_cost
0
area_under_roc_curve
0.9788055555555556 [1,0.976111,0.991944,0.994444,0.961111,1,0.920278,0.993056,0.998333,0.952778]
area_under_roc_curve
0.9805555555555556 [1,0.976111,0.996667,0.986667,0.964167,0.988889,0.951944,0.990833,0.998333,0.951944]
area_under_roc_curve
0.9788888888888888 [1,0.974444,0.999722,0.973333,0.980556,0.993889,0.924444,0.9925,1,0.95]
area_under_roc_curve
0.9871944444444444 [1,0.985556,0.995278,0.996111,0.992778,0.994722,0.971389,0.995556,0.999167,0.941389]
area_under_roc_curve
0.9822777777777777 [1,0.972222,0.996667,0.993889,0.985556,0.991111,0.952778,0.9925,1,0.938056]
area_under_roc_curve
0.9835833333333333 [1,0.973333,0.999722,0.991111,0.9925,0.990833,0.945833,0.991944,0.998611,0.951944]
area_under_roc_curve
0.9835833333333333 [1,0.978333,0.995,0.9975,0.981944,0.98,0.975833,0.988611,1,0.938611]
area_under_roc_curve
0.9850833333333333 [1,0.968611,0.998056,0.991111,0.979444,0.995556,0.96,0.995,0.995833,0.967222]
area_under_roc_curve
0.9828055555555555 [1,0.978889,0.999722,0.9975,0.983611,0.985278,0.941944,0.995833,1,0.945278]
area_under_roc_curve
0.9779722222222224 [1,0.976389,0.991389,0.989722,0.952778,0.999444,0.9275,0.993889,0.9975,0.951111]
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
0.7947387172571517 [1,0.790698,0.926829,0.833333,0.772727,0.974359,0.378378,0.871795,0.923077,0.47619]
f_measure
0.8091466711632697 [1,0.871795,0.9,0.894737,0.666667,0.857143,0.578947,0.790698,0.926829,0.604651]
f_measure
0.8051375859912444 [1,0.682927,0.974359,0.820513,0.829268,0.871795,0.461538,0.85,0.97561,0.585366]
f_measure
0.843968748968749 [0.974359,0.810811,0.95,0.904762,0.755556,0.9,0.714286,0.9,0.974359,0.555556]
f_measure
0.7780786230342399 [1,0.685714,0.923077,0.878049,0.685714,0.888889,0.473684,0.808511,0.97561,0.461538]
f_measure
0.8573225745176964 [1,0.809524,0.97561,0.864865,0.871795,0.926829,0.666667,0.952381,0.95,0.555556]
f_measure
0.8437332523317835 [1,0.75,0.923077,0.95,0.857143,0.883721,0.65,0.844444,1,0.578947]
f_measure
0.8549360019051335 [1,0.780488,0.952381,0.871795,0.820513,0.842105,0.682927,0.930233,0.918919,0.75]
f_measure
0.8495476395829193 [1,0.823529,0.952381,0.952381,0.894737,0.923077,0.473684,0.930233,1,0.545455]
f_measure
0.7985313275515837 [0.97561,0.769231,0.863636,0.888889,0.857143,0.95,0.434783,0.930233,0.894737,0.421053]
kappa
0.7722222222222223
kappa
0.788888888888889
kappa
0.7833333333333334
kappa
0.8277777777777777
kappa
0.7611111111111112
kappa
0.8444444444444444
kappa
0.8277777777777777
kappa
0.8388888888888889
kappa
0.8333333333333333
kappa
0.7722222222222223
kb_relative_information_score
150.91072443689026
kb_relative_information_score
151.75893022187356
kb_relative_information_score
149.31926602466854
kb_relative_information_score
153.52875094686914
kb_relative_information_score
150.5037308739418
kb_relative_information_score
154.53237985201986
kb_relative_information_score
152.76700487312036
kb_relative_information_score
152.84281080740894
kb_relative_information_score
155.44583836415114
kb_relative_information_score
149.00748081937513
mean_absolute_error
0.0727455950075978
mean_absolute_error
0.07095200348728087
mean_absolute_error
0.0736996449701195
mean_absolute_error
0.06956848190731298
mean_absolute_error
0.07209350906742959
mean_absolute_error
0.06838515807211364
mean_absolute_error
0.07047525214916239
mean_absolute_error
0.07040929007971397
mean_absolute_error
0.06774821575602698
mean_absolute_error
0.07267361800805518
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
0.7998141096463549 [1,0.73913,0.904762,0.9375,0.708333,1,0.411765,0.894737,0.947368,0.454545]
precision
0.8127583946691499 [1,0.894737,0.9,0.944444,0.75,0.818182,0.611111,0.73913,0.904762,0.565217]
precision
0.8060526315789472 [1,0.666667,1,0.842105,0.809524,0.894737,0.473684,0.85,0.952381,0.571429]
precision
0.8482807486631018 [1,0.882353,0.95,0.863636,0.68,0.9,0.681818,0.9,1,0.625]
precision
0.7834280144806459 [1,0.8,0.947368,0.857143,0.8,0.8,0.5,0.703704,0.952381,0.473684]
precision
0.8586237988018174 [1,0.772727,0.952381,0.941176,0.894737,0.904762,0.636364,0.909091,0.95,0.625]
precision
0.8494566488685481 [1,0.75,0.947368,0.95,1,0.826087,0.65,0.76,1,0.611111]
precision
0.8582958549205688 [1,0.761905,0.909091,0.894737,0.842105,0.888889,0.666667,0.869565,1,0.75]
precision
0.8579559901070197 [1,1,0.909091,0.909091,0.944444,0.947368,0.5,0.869565,1,0.5]
precision
0.8126590794153722 [0.952381,0.789474,0.791667,1,1,0.95,0.384615,0.869565,0.944444,0.444444]
predictive_accuracy
0.795
predictive_accuracy
0.81
predictive_accuracy
0.805
predictive_accuracy
0.845
predictive_accuracy
0.785
predictive_accuracy
0.86
predictive_accuracy
0.845
predictive_accuracy
0.855
predictive_accuracy
0.85
predictive_accuracy
0.795
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
0.795 [1,0.85,0.95,0.75,0.85,0.95,0.35,0.85,0.9,0.5]
recall
0.81 [1,0.85,0.9,0.85,0.6,0.9,0.55,0.85,0.95,0.65]
recall
0.805 [1,0.7,0.95,0.8,0.85,0.85,0.45,0.85,1,0.6]
recall
0.845 [0.95,0.75,0.95,0.95,0.85,0.9,0.75,0.9,0.95,0.5]
recall
0.785 [1,0.6,0.9,0.9,0.6,1,0.45,0.95,1,0.45]
recall
0.86 [1,0.85,1,0.8,0.85,0.95,0.7,1,0.95,0.5]
recall
0.845 [1,0.75,0.9,0.95,0.75,0.95,0.65,0.95,1,0.55]
recall
0.855 [1,0.8,1,0.85,0.8,0.8,0.7,1,0.85,0.75]
recall
0.85 [1,0.7,1,1,0.85,0.9,0.45,1,1,0.6]
recall
0.795 [1,0.75,0.95,0.8,0.75,0.95,0.5,1,0.85,0.4]
relative_absolute_error
0.40414219448665484
relative_absolute_error
0.3941777971515608
relative_absolute_error
0.40944247205621986
relative_absolute_error
0.38649156615173913
relative_absolute_error
0.4005194948190537
relative_absolute_error
0.37991754484507617
relative_absolute_error
0.3915291786064582
relative_absolute_error
0.39116272266507807
relative_absolute_error
0.37637897642237256
relative_absolute_error
0.40374232226697365
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
0.1687465594117739
root_mean_squared_error
0.16905817946435195
root_mean_squared_error
0.17008559018212496
root_mean_squared_error
0.16128432614257376
root_mean_squared_error
0.16880433881721
root_mean_squared_error
0.1593499984058983
root_mean_squared_error
0.16392115426883597
root_mean_squared_error
0.16417993080110294
root_mean_squared_error
0.15743485892211048
root_mean_squared_error
0.17025838667730525
root_relative_squared_error
0.56248853137258
root_relative_squared_error
0.5635272648811736
root_relative_squared_error
0.5669519672737501
root_relative_squared_error
0.5376144204752462
root_relative_squared_error
0.5626811293907004
root_relative_squared_error
0.5311666613529947
root_relative_squared_error
0.5464038475627868
root_relative_squared_error
0.5472664360036767
root_relative_squared_error
0.5247828630737019
root_relative_squared_error
0.5675279555910179
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
61048.10921399985
usercpu_time_millis
61066.139297996415
usercpu_time_millis
60503.62199899973
usercpu_time_millis
61347.33171499829
usercpu_time_millis
60937.47548600368
usercpu_time_millis
61421.35007800243
usercpu_time_millis
61223.561086997506
usercpu_time_millis
61086.61724099875
usercpu_time_millis
61512.36885799881
usercpu_time_millis
60716.64996999971
usercpu_time_millis_testing
90.29525000005378
usercpu_time_millis_testing
86.60889999737265
usercpu_time_millis_testing
94.6400739994715
usercpu_time_millis_testing
91.07536399824312
usercpu_time_millis_testing
91.04041200043866
usercpu_time_millis_testing
130.1328290028323
usercpu_time_millis_testing
89.98948799853679
usercpu_time_millis_testing
94.75245700014057
usercpu_time_millis_testing
88.39496899963706
usercpu_time_millis_testing
90.44769799947971
usercpu_time_millis_training
60957.8139639998
usercpu_time_millis_training
60979.53039799904
usercpu_time_millis_training
60408.98192500026
usercpu_time_millis_training
61256.25635100005
usercpu_time_millis_training
60846.43507400324
usercpu_time_millis_training
61291.2172489996
usercpu_time_millis_training
61133.57159899897
usercpu_time_millis_training
60991.86478399861
usercpu_time_millis_training
61423.97388899917
usercpu_time_millis_training
60626.20227200023