8914226
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)
6851319
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
"gini"
7684
max_depth
null
7684
max_features
0.42502200092060005
7684
max_leaf_nodes
null
7684
min_impurity_decrease
0.0
7684
min_impurity_split
null
7684
min_samples_leaf
18
7684
min_samples_split
6
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
18744106
description
https://api.openml.org/data/download/18744106/description.xml
-1
18744107
predictions
https://api.openml.org/data/download/18744107/predictions.arff
area_under_roc_curve
0.9779530555555555 [0.999908,0.966286,0.994925,0.985269,0.969411,0.990992,0.941619,0.991664,0.996111,0.943344]
average_cost
0
f_measure
0.786934451209989 [0.958435,0.739018,0.925743,0.851385,0.710027,0.86,0.507463,0.861827,0.929648,0.525799]
kappa
0.7644444444444445
kb_relative_information_score
1470.8969760777118
mean_absolute_error
0.07571091637205284
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7878962370558454 [0.937799,0.764706,0.916667,0.857868,0.775148,0.86,0.50495,0.810573,0.934343,0.516908]
predictive_accuracy
0.7879999999999999
prior_entropy
3.321928094887362
recall
0.788 [0.98,0.715,0.935,0.845,0.655,0.86,0.51,0.92,0.925,0.535]
relative_absolute_error
0.4206162020669472
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.17356480456857085
root_relative_squared_error
0.578549348561894
total_cost
0
area_under_roc_curve
0.9760833333333333 [0.999722,0.965,0.992222,0.995556,0.953333,0.999444,0.918611,0.9925,0.991667,0.952778]
area_under_roc_curve
0.9782500000000001 [0.999722,0.973611,0.993611,0.986111,0.956389,0.988056,0.950556,0.988611,0.996944,0.948889]
area_under_roc_curve
0.9754722222222224 [1,0.974167,0.999167,0.962778,0.964722,0.992778,0.922222,0.991667,1,0.947222]
area_under_roc_curve
0.9824166666666667 [1,0.971111,0.993889,0.988611,0.986389,0.9925,0.968611,0.994167,0.998889,0.93]
area_under_roc_curve
0.9808055555555556 [1,0.961944,0.9975,0.991111,0.987222,0.992778,0.948611,0.992222,0.998889,0.937778]
area_under_roc_curve
0.9812222222222221 [1,0.961667,0.999167,0.990278,0.991389,0.987778,0.945556,0.992222,0.996389,0.947778]
area_under_roc_curve
0.9787777777777777 [0.999722,0.969444,0.995556,0.986389,0.9825,0.974444,0.968056,0.987222,1,0.924444]
area_under_roc_curve
0.9792500000000001 [1,0.9575,0.9975,0.979444,0.9625,0.995278,0.951389,0.994722,0.988333,0.965833]
area_under_roc_curve
0.9784166666666665 [1,0.960556,0.999444,0.996944,0.972222,0.987778,0.932222,0.993889,1,0.941111]
area_under_roc_curve
0.9729722222222221 [1,0.975833,0.983056,0.979167,0.949167,0.998333,0.9175,0.993889,0.993333,0.939444]
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
0.7752993634587507 [0.95,0.744186,0.926829,0.888889,0.731707,0.974359,0.358974,0.878049,0.9,0.4]
f_measure
0.7522389647188884 [0.97561,0.789474,0.871795,0.8,0.555556,0.780488,0.486486,0.790698,0.926829,0.545455]
f_measure
0.7721461429105396 [0.974359,0.697674,0.947368,0.8,0.648649,0.85,0.47619,0.789474,0.952381,0.585366]
f_measure
0.7909960353153903 [1,0.722222,0.95,0.883721,0.695652,0.789474,0.555556,0.820513,0.947368,0.545455]
f_measure
0.7719625554197269 [1,0.647059,0.9,0.85,0.606061,0.869565,0.512821,0.808511,0.97561,0.55]
f_measure
0.7997821978167978 [0.952381,0.75,0.952381,0.769231,0.756757,0.878049,0.571429,0.930233,0.923077,0.514286]
f_measure
0.798227152963995 [0.863636,0.769231,0.894737,0.85,0.787879,0.809524,0.7,0.844444,0.95,0.512821]
f_measure
0.7992445230108304 [0.930233,0.75,0.97561,0.85,0.685714,0.864865,0.536585,0.909091,0.918919,0.571429]
f_measure
0.8125651480302644 [0.974359,0.727273,0.952381,0.930233,0.8,0.871795,0.45,0.909091,0.952381,0.55814]
f_measure
0.7949618523880853 [0.97561,0.780488,0.883721,0.888889,0.833333,0.918919,0.434783,0.930233,0.842105,0.461538]
kappa
0.75
kappa
0.7277777777777777
kappa
0.7444444444444445
kappa
0.7666666666666667
kappa
0.7555555555555555
kappa
0.7833333333333334
kappa
0.7777777777777778
kappa
0.7777777777777778
kappa
0.7944444444444444
kappa
0.7666666666666667
kb_relative_information_score
145.57080332726903
kb_relative_information_score
146.04132591776025
kb_relative_information_score
146.00641883246217
kb_relative_information_score
148.46065602270343
kb_relative_information_score
147.47869367046576
kb_relative_information_score
149.15311926575203
kb_relative_information_score
147.23845812863883
kb_relative_information_score
147.01333834569044
kb_relative_information_score
149.5899616401348
kb_relative_information_score
144.34420092683627
mean_absolute_error
0.07772422878065165
mean_absolute_error
0.07546263570046065
mean_absolute_error
0.07694197521404939
mean_absolute_error
0.07454971455499969
mean_absolute_error
0.07547516516909916
mean_absolute_error
0.07369150733047564
mean_absolute_error
0.07650269229443833
mean_absolute_error
0.07570350137036837
mean_absolute_error
0.07348960503199282
mean_absolute_error
0.07756813827399518
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
0.77902637027351 [0.95,0.695652,0.904762,1,0.714286,1,0.368421,0.857143,0.9,0.4]
precision
0.7540659993974707 [0.952381,0.833333,0.894737,0.8,0.625,0.761905,0.529412,0.73913,0.904762,0.5]
precision
0.7776454534382923 [1,0.652174,1,0.8,0.705882,0.85,0.454545,0.833333,0.909091,0.571429]
precision
0.8004410168397582 [1,0.8125,0.95,0.826087,0.615385,0.833333,0.625,0.842105,1,0.5]
precision
0.7806576269734166 [1,0.785714,0.9,0.85,0.769231,0.769231,0.526316,0.703704,0.952381,0.55]
precision
0.8000715955198389 [0.909091,0.75,0.909091,0.789474,0.823529,0.857143,0.545455,0.869565,0.947368,0.6]
precision
0.8084627857522594 [0.791667,0.789474,0.944444,0.85,1,0.772727,0.7,0.76,0.95,0.526316]
precision
0.8065720042957895 [0.869565,0.75,0.952381,0.85,0.8,0.941176,0.52381,0.833333,1,0.545455]
precision
0.8243966597856759 [1,0.923077,0.909091,0.869565,0.933333,0.894737,0.45,0.833333,0.909091,0.521739]
precision
0.8094626372229345 [0.952381,0.761905,0.826087,1,0.9375,1,0.384615,0.869565,0.888889,0.473684]
predictive_accuracy
0.775
predictive_accuracy
0.755
predictive_accuracy
0.77
predictive_accuracy
0.79
predictive_accuracy
0.78
predictive_accuracy
0.805
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.815
predictive_accuracy
0.79
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
0.775 [0.95,0.8,0.95,0.8,0.75,0.95,0.35,0.9,0.9,0.4]
recall
0.755 [1,0.75,0.85,0.8,0.5,0.8,0.45,0.85,0.95,0.6]
recall
0.77 [0.95,0.75,0.9,0.8,0.6,0.85,0.5,0.75,1,0.6]
recall
0.79 [1,0.65,0.95,0.95,0.8,0.75,0.5,0.8,0.9,0.6]
recall
0.78 [1,0.55,0.9,0.85,0.5,1,0.5,0.95,1,0.55]
recall
0.805 [1,0.75,1,0.75,0.7,0.9,0.6,1,0.9,0.45]
recall
0.8 [0.95,0.75,0.85,0.85,0.65,0.85,0.7,0.95,0.95,0.5]
recall
0.8 [1,0.75,1,0.85,0.6,0.8,0.55,1,0.85,0.6]
recall
0.815 [0.95,0.6,1,1,0.7,0.85,0.45,1,1,0.6]
recall
0.79 [1,0.8,0.95,0.8,0.75,0.85,0.5,1,0.8,0.45]
relative_absolute_error
0.4318012710036207
relative_absolute_error
0.41923686500255963
relative_absolute_error
0.4274554178558304
relative_absolute_error
0.41416508086110987
relative_absolute_error
0.41930647316166253
relative_absolute_error
0.40939726294708734
relative_absolute_error
0.4250149571913246
relative_absolute_error
0.4205750076131581
relative_absolute_error
0.40827558351107174
relative_absolute_error
0.4309341015221959
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
0.17720015839860698
root_mean_squared_error
0.17754471561711535
root_mean_squared_error
0.17536056879182674
root_mean_squared_error
0.17015074675474523
root_mean_squared_error
0.17318868013385957
root_mean_squared_error
0.16917379134307114
root_mean_squared_error
0.1742784235593036
root_mean_squared_error
0.17294273503379867
root_mean_squared_error
0.16806290703222396
root_mean_squared_error
0.17742997525139698
root_relative_squared_error
0.5906671946620236
root_relative_squared_error
0.5918157187237183
root_relative_squared_error
0.5845352293060895
root_relative_squared_error
0.5671691558491511
root_relative_squared_error
0.577295600446199
root_relative_squared_error
0.5639126378102375
root_relative_squared_error
0.5809280785310124
root_relative_squared_error
0.5764757834459959
root_relative_squared_error
0.5602096901074135
root_relative_squared_error
0.5914332508379903
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
17293.54955799863
usercpu_time_millis
17251.802656996006
usercpu_time_millis
17163.904405999347
usercpu_time_millis
17438.551471997926
usercpu_time_millis
17215.76654400269
usercpu_time_millis
17170.917303999886
usercpu_time_millis
17380.85801499983
usercpu_time_millis
17292.535065000266
usercpu_time_millis
17260.94004100014
usercpu_time_millis
17288.7988720031
usercpu_time_millis_testing
88.24035100042238
usercpu_time_millis_testing
87.28594299827819
usercpu_time_millis_testing
89.03786800146918
usercpu_time_millis_testing
87.14555500046117
usercpu_time_millis_testing
85.17756000219379
usercpu_time_millis_testing
85.303408002801
usercpu_time_millis_testing
85.91190799779724
usercpu_time_millis_testing
85.68761100104894
usercpu_time_millis_testing
91.21807200062904
usercpu_time_millis_testing
87.27142000134336
usercpu_time_millis_training
17205.30920699821
usercpu_time_millis_training
17164.516713997727
usercpu_time_millis_training
17074.866537997877
usercpu_time_millis_training
17351.405916997464
usercpu_time_millis_training
17130.588984000497
usercpu_time_millis_training
17085.613895997085
usercpu_time_millis_training
17294.946107002033
usercpu_time_millis_training
17206.847453999217
usercpu_time_millis_training
17169.72196899951
usercpu_time_millis_training
17201.527452001756