8926724
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)
6863560
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
0.762188333313685
7684
max_leaf_nodes
null
7684
min_impurity_decrease
0.0
7684
min_impurity_split
null
7684
min_samples_leaf
9
7684
min_samples_split
3
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
18769004
description
https://api.openml.org/data/download/18769004/description.xml
-1
18769005
predictions
https://api.openml.org/data/download/18769005/predictions.arff
area_under_roc_curve
0.9806563888888891 [0.999858,0.971994,0.994197,0.987233,0.976742,0.990064,0.946392,0.991492,0.998144,0.950447]
average_cost
0
f_measure
0.8070848216532918 [0.975124,0.74813,0.922693,0.869792,0.768041,0.877805,0.538462,0.872979,0.937028,0.560794]
kappa
0.7866666666666667
kb_relative_information_score
1563.190162469169
mean_absolute_error
0.06292978562707814
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.807735053414271 [0.970297,0.746269,0.920398,0.907609,0.792553,0.875622,0.552632,0.811159,0.944162,0.55665]
predictive_accuracy
0.8079999999999999
prior_entropy
3.321928094887362
recall
0.808 [0.98,0.75,0.925,0.835,0.745,0.88,0.525,0.945,0.93,0.565]
relative_absolute_error
0.34960992015042336
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.16269855465704644
root_relative_squared_error
0.5423285155234798
total_cost
0
area_under_roc_curve
0.9796111111111112 [1,0.973056,0.991111,0.994444,0.966111,1,0.928889,0.993333,0.996667,0.9525]
area_under_roc_curve
0.980611111111111 [1,0.982778,0.993056,0.981944,0.966667,0.985,0.957222,0.990833,0.998611,0.95]
area_under_roc_curve
0.9768611111111112 [1,0.971667,0.998056,0.97,0.981667,0.991944,0.919167,0.989167,1,0.946944]
area_under_roc_curve
0.9857777777777779 [0.999167,0.976389,0.993333,0.994722,0.988056,0.993333,0.971944,0.996944,0.999722,0.944167]
area_under_roc_curve
0.9820833333333333 [1,0.966667,0.997778,0.994444,0.987222,0.992222,0.958333,0.989444,0.999444,0.935278]
area_under_roc_curve
0.9816111111111112 [1,0.965278,0.999444,0.988333,0.989444,0.984167,0.943611,0.991944,0.999444,0.954444]
area_under_roc_curve
0.9841111111111112 [1,0.976944,0.993611,0.994722,0.989167,0.984722,0.973333,0.9875,1,0.941111]
area_under_roc_curve
0.9831666666666666 [0.999722,0.971944,0.998889,0.983333,0.973056,0.994722,0.951667,0.993889,0.991389,0.973056]
area_under_roc_curve
0.9815 [0.999722,0.97,0.999444,0.9975,0.983333,0.976667,0.941111,0.994722,1,0.9525]
area_under_roc_curve
0.9753888888888889 [1,0.971667,0.984722,0.978333,0.955556,0.9975,0.919444,0.993611,0.996667,0.956389]
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
0.8049626174016418 [1,0.755556,0.9,0.864865,0.780488,0.974359,0.461538,0.9,0.9,0.512821]
f_measure
0.8080756355757103 [1,0.871795,0.894737,0.842105,0.666667,0.837209,0.555556,0.863636,0.926829,0.622222]
f_measure
0.7956059314882492 [1,0.697674,0.947368,0.777778,0.790698,0.871795,0.432432,0.871795,0.97561,0.590909]
f_measure
0.8198876831803661 [0.95,0.756757,0.926829,0.926829,0.75,0.833333,0.666667,0.85,0.923077,0.615385]
f_measure
0.775285622593068 [0.97561,0.666667,0.947368,0.9,0.666667,0.829268,0.526316,0.791667,0.97561,0.473684]
f_measure
0.8265534541942876 [1,0.727273,0.95,0.789474,0.777778,0.883721,0.648649,0.930233,0.926829,0.631579]
f_measure
0.8184984984984984 [0.974359,0.769231,0.9,0.923077,0.888889,0.844444,0.540541,0.844444,1,0.5]
f_measure
0.8050344071460888 [0.95,0.731707,0.97561,0.842105,0.702703,0.842105,0.590909,0.888889,0.894737,0.631579]
f_measure
0.8371118312581729 [0.95,0.787879,0.926829,0.952381,0.85,0.923077,0.514286,0.888889,1,0.577778]
f_measure
0.7785425919475982 [0.952381,0.731707,0.863636,0.857143,0.8,0.947368,0.458333,0.909091,0.833333,0.432432]
kappa
0.7833333333333334
kappa
0.788888888888889
kappa
0.7722222222222223
kappa
0.7999999999999999
kappa
0.7555555555555555
kappa
0.8111111111111111
kappa
0.7999999999999999
kappa
0.7833333333333334
kappa
0.8222222222222222
kappa
0.75
kb_relative_information_score
157.02071999771206
kb_relative_information_score
154.3584303083625
kb_relative_information_score
153.27634505983065
kb_relative_information_score
157.43517208793503
kb_relative_information_score
156.01588258512632
kb_relative_information_score
158.21569555160136
kb_relative_information_score
157.59855315405596
kb_relative_information_score
155.95176818817745
kb_relative_information_score
159.74626529640943
kb_relative_information_score
153.57133023995928
mean_absolute_error
0.062350578225645076
mean_absolute_error
0.06466280450771984
mean_absolute_error
0.06602316502089821
mean_absolute_error
0.061769385540277666
mean_absolute_error
0.06302203974829658
mean_absolute_error
0.06094766872326459
mean_absolute_error
0.06226905460073598
mean_absolute_error
0.0634006545151654
mean_absolute_error
0.05959319291898333
mean_absolute_error
0.06525931246979473
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
0.8083081232492997 [1,0.68,0.9,0.941176,0.761905,1,0.473684,0.9,0.9,0.526316]
precision
0.8142107442519341 [1,0.894737,0.944444,0.888889,0.75,0.782609,0.625,0.791667,0.904762,0.56]
precision
0.802041388637835 [1,0.652174,1,0.875,0.73913,0.894737,0.470588,0.894737,0.952381,0.541667]
precision
0.82765682588825 [0.95,0.823529,0.904762,0.904762,0.642857,0.9375,0.684211,0.85,0.947368,0.631579]
precision
0.7782623224728488 [0.952381,0.684211,1,0.9,0.75,0.809524,0.555556,0.678571,0.952381,0.5]
precision
0.8297963098282792 [1,0.666667,0.95,0.833333,0.875,0.826087,0.705882,0.869565,0.904762,0.666667]
precision
0.8245077399380805 [1,0.789474,0.9,0.947368,1,0.76,0.588235,0.76,1,0.5]
precision
0.8111928104575165 [0.95,0.714286,0.952381,0.888889,0.764706,0.888889,0.541667,0.8,0.944444,0.666667]
precision
0.8481221234905446 [0.95,1,0.904762,0.909091,0.85,0.947368,0.6,0.8,1,0.52]
precision
0.7982655334861216 [0.909091,0.714286,0.791667,1,0.933333,1,0.392857,0.833333,0.9375,0.470588]
predictive_accuracy
0.805
predictive_accuracy
0.81
predictive_accuracy
0.795
predictive_accuracy
0.82
predictive_accuracy
0.78
predictive_accuracy
0.83
predictive_accuracy
0.82
predictive_accuracy
0.805
predictive_accuracy
0.84
predictive_accuracy
0.775
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
0.805 [1,0.85,0.9,0.8,0.8,0.95,0.45,0.9,0.9,0.5]
recall
0.81 [1,0.85,0.85,0.8,0.6,0.9,0.5,0.95,0.95,0.7]
recall
0.795 [1,0.75,0.9,0.7,0.85,0.85,0.4,0.85,1,0.65]
recall
0.82 [0.95,0.7,0.95,0.95,0.9,0.75,0.65,0.85,0.9,0.6]
recall
0.78 [1,0.65,0.9,0.9,0.6,0.85,0.5,0.95,1,0.45]
recall
0.83 [1,0.8,0.95,0.75,0.7,0.95,0.6,1,0.95,0.6]
recall
0.82 [0.95,0.75,0.9,0.9,0.8,0.95,0.5,0.95,1,0.5]
recall
0.805 [0.95,0.75,1,0.8,0.65,0.8,0.65,1,0.85,0.6]
recall
0.84 [0.95,0.65,0.95,1,0.85,0.9,0.45,1,1,0.65]
recall
0.775 [1,0.75,0.95,0.75,0.7,0.9,0.55,1,0.75,0.4]
relative_absolute_error
0.3463921012535841
relative_absolute_error
0.35923780282066625
relative_absolute_error
0.3667953612272127
relative_absolute_error
0.343163253001543
relative_absolute_error
0.3501224430460925
relative_absolute_error
0.33859815957369255
relative_absolute_error
0.3459391922263114
relative_absolute_error
0.3522258584175859
relative_absolute_error
0.3310732939943522
relative_absolute_error
0.36255173594330453
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
0.16294600390631972
root_mean_squared_error
0.16890990729649813
root_mean_squared_error
0.16897620464160043
root_mean_squared_error
0.1588727410931383
root_mean_squared_error
0.1637998268776299
root_mean_squared_error
0.15736955143231354
root_mean_squared_error
0.15922523066877362
root_mean_squared_error
0.16281196659467012
root_mean_squared_error
0.15478637844549398
root_mean_squared_error
0.16857621956276303
root_relative_squared_error
0.5431533463543993
root_relative_squared_error
0.5630330243216608
root_relative_squared_error
0.5632540154720017
root_relative_squared_error
0.5295758036437946
root_relative_squared_error
0.5459994229254334
root_relative_squared_error
0.5245651714410454
root_relative_squared_error
0.5307507688959123
root_relative_squared_error
0.5427065553155674
root_relative_squared_error
0.5159545948183135
root_relative_squared_error
0.5619207318758772
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
271961.2118709993
usercpu_time_millis
271429.20764500013
usercpu_time_millis
269480.0789810034
usercpu_time_millis
205769.56502900066
usercpu_time_millis
135971.21148999577
usercpu_time_millis
135947.9341979968
usercpu_time_millis
115992.97434800246
usercpu_time_millis
96968.0672919967
usercpu_time_millis
96303.90157399961
usercpu_time_millis
95904.62476299945
usercpu_time_millis_testing
169.13928799840505
usercpu_time_millis_testing
194.1559109982336
usercpu_time_millis_testing
194.00299500193796
usercpu_time_millis_testing
88.09813100015162
usercpu_time_millis_testing
87.19877199837356
usercpu_time_millis_testing
90.5856209974445
usercpu_time_millis_testing
59.94001400176785
usercpu_time_millis_testing
62.74363299962715
usercpu_time_millis_testing
61.49632400047267
usercpu_time_millis_testing
91.50698599842144
usercpu_time_millis_training
271792.0725830009
usercpu_time_millis_training
271235.0517340019
usercpu_time_millis_training
269286.0759860014
usercpu_time_millis_training
205681.4668980005
usercpu_time_millis_training
135884.0127179974
usercpu_time_millis_training
135857.34857699936
usercpu_time_millis_training
115933.0343340007
usercpu_time_millis_training
96905.32365899708
usercpu_time_millis_training
96242.40524999914
usercpu_time_millis_training
95813.11777700103