8916707
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)
6853715
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
0.20922084649364314
7684
max_leaf_nodes
null
7684
min_impurity_decrease
0.0
7684
min_impurity_split
null
7684
min_samples_leaf
10
7684
min_samples_split
7
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
18749046
description
https://api.openml.org/data/download/18749046/description.xml
-1
18749047
predictions
https://api.openml.org/data/download/18749047/predictions.arff
area_under_roc_curve
0.9815238888888889 [1,0.975044,0.996506,0.992239,0.976317,0.993222,0.945575,0.992625,0.998394,0.945317]
average_cost
0
f_measure
0.8202614133763529 [0.992519,0.771208,0.940594,0.904523,0.78836,0.894866,0.540541,0.876457,0.964286,0.529262]
kappa
0.8011111111111111
kb_relative_information_score
1477.2570125805246
mean_absolute_error
0.07683944725137622
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.821243750931536 [0.99005,0.793651,0.931373,0.909091,0.837079,0.875598,0.531401,0.820961,0.984375,0.53886]
predictive_accuracy
0.821
prior_entropy
3.321928094887362
recall
0.821 [0.995,0.75,0.95,0.9,0.745,0.915,0.55,0.94,0.945,0.52]
relative_absolute_error
0.42688581806318804
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.16995535955052174
root_relative_squared_error
0.5665178651683971
total_cost
0
area_under_roc_curve
0.9786944444444445 [1,0.976111,0.994722,0.996111,0.959167,1,0.914167,0.991944,0.998889,0.955833]
area_under_roc_curve
0.980138888888889 [1,0.975278,0.995833,0.989167,0.9625,0.992222,0.950833,0.989167,0.9975,0.948889]
area_under_roc_curve
0.9796944444444445 [1,0.979444,1,0.981111,0.982778,0.993611,0.920278,0.992778,1,0.946944]
area_under_roc_curve
0.98625 [1,0.981667,0.994167,0.994722,0.991944,0.993333,0.971667,0.995556,0.997778,0.941667]
area_under_roc_curve
0.9830555555555557 [1,0.969444,0.998333,0.993333,0.991389,0.993056,0.9525,0.994167,1,0.938333]
area_under_roc_curve
0.9836111111111111 [1,0.9725,1,0.994444,0.993333,0.991111,0.946389,0.993056,0.998611,0.946667]
area_under_roc_curve
0.9812222222222223 [1,0.9725,0.996944,0.994167,0.974167,0.9825,0.971111,0.989444,1,0.931389]
area_under_roc_curve
0.9845277777777778 [1,0.9675,0.997778,0.994444,0.973333,0.996389,0.956667,0.996111,0.996944,0.966111]
area_under_roc_curve
0.9821944444444445 [1,0.980556,1,0.9975,0.981944,0.987778,0.942222,0.996111,1,0.935833]
area_under_roc_curve
0.9783611111111112 [1,0.983056,0.988611,0.993333,0.955,0.999722,0.929444,0.993611,0.996111,0.944722]
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
0.7906943150887383 [0.974359,0.829268,0.883721,0.947368,0.8,0.974359,0.315789,0.878049,0.923077,0.380952]
f_measure
0.8026650462868371 [1,0.810811,0.926829,0.878049,0.685714,0.837209,0.514286,0.790698,0.974359,0.608696]
f_measure
0.8165666041275798 [1,0.731707,0.974359,0.8,0.8,0.9,0.487805,0.871795,1,0.6]
f_measure
0.8444744322857286 [1,0.789474,0.974359,0.926829,0.772727,0.878049,0.7,0.85,0.974359,0.578947]
f_measure
0.7899309779875605 [1,0.628571,0.947368,0.9,0.722222,0.869565,0.536585,0.808511,1,0.486486]
f_measure
0.8389172659910646 [1,0.8,0.952381,0.894737,0.85,0.9,0.652174,0.952381,0.95,0.4375]
f_measure
0.8477098016172573 [1,0.789474,0.923077,0.95,0.8,0.883721,0.666667,0.869565,1,0.594595]
f_measure
0.8400147400262336 [1,0.731707,0.95,0.904762,0.842105,0.871795,0.619048,0.930233,0.918919,0.631579]
f_measure
0.8289725014604065 [1,0.8,0.97561,0.952381,0.764706,0.9,0.45,0.888889,1,0.55814]
f_measure
0.7970972003652542 [0.952381,0.790698,0.904762,0.888889,0.833333,0.947368,0.428571,0.930233,0.894737,0.4]
kappa
0.7666666666666667
kappa
0.7833333333333334
kappa
0.7944444444444444
kappa
0.8277777777777777
kappa
0.7722222222222223
kappa
0.8277777777777777
kappa
0.8333333333333333
kappa
0.8222222222222222
kappa
0.8111111111111111
kappa
0.7722222222222223
kb_relative_information_score
146.19255024660941
kb_relative_information_score
147.42491416038573
kb_relative_information_score
146.2080026578261
kb_relative_information_score
149.19951617250638
kb_relative_information_score
146.7589136772655
kb_relative_information_score
150.16565251296672
kb_relative_information_score
148.0157622897908
kb_relative_information_score
148.37588003096323
kb_relative_information_score
150.35229630667126
kb_relative_information_score
144.56352452553713
mean_absolute_error
0.07905985782735697
mean_absolute_error
0.07660495099184982
mean_absolute_error
0.07849933298298295
mean_absolute_error
0.0754380096114372
mean_absolute_error
0.07770437923770816
mean_absolute_error
0.07465031651687383
mean_absolute_error
0.07675008003014341
mean_absolute_error
0.07663447652960065
mean_absolute_error
0.07440793121985446
mean_absolute_error
0.07864513756595526
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
0.7937091741210734 [1,0.809524,0.826087,1,0.8,1,0.333333,0.857143,0.947368,0.363636]
precision
0.8104458371977554 [1,0.882353,0.904762,0.857143,0.8,0.782609,0.6,0.73913,1,0.538462]
precision
0.8185213032581453 [1,0.714286,1,0.8,0.8,0.9,0.47619,0.894737,1,0.6]
precision
0.8464682539682539 [1,0.833333,1,0.904762,0.708333,0.857143,0.7,0.85,1,0.611111]
precision
0.7971989094783213 [1,0.733333,1,0.9,0.8125,0.769231,0.52381,0.703704,1,0.529412]
precision
0.8422882672882672 [1,0.8,0.909091,0.944444,0.85,0.9,0.576923,0.909091,0.95,0.583333]
precision
0.8542775273364854 [1,0.833333,0.947368,0.95,0.933333,0.826087,0.636364,0.769231,1,0.647059]
precision
0.8438688783883292 [1,0.714286,0.95,0.863636,0.888889,0.894737,0.590909,0.869565,1,0.666667]
precision
0.8395115753811406 [1,0.933333,0.952381,0.909091,0.928571,0.9,0.45,0.8,1,0.521739]
precision
0.807245827843654 [0.909091,0.73913,0.863636,1,0.9375,1,0.409091,0.869565,0.944444,0.4]
predictive_accuracy
0.79
predictive_accuracy
0.805
predictive_accuracy
0.815
predictive_accuracy
0.845
predictive_accuracy
0.795
predictive_accuracy
0.845
predictive_accuracy
0.85
predictive_accuracy
0.84
predictive_accuracy
0.83
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
0.79 [0.95,0.85,0.95,0.9,0.8,0.95,0.3,0.9,0.9,0.4]
recall
0.805 [1,0.75,0.95,0.9,0.6,0.9,0.45,0.85,0.95,0.7]
recall
0.815 [1,0.75,0.95,0.8,0.8,0.9,0.5,0.85,1,0.6]
recall
0.845 [1,0.75,0.95,0.95,0.85,0.9,0.7,0.85,0.95,0.55]
recall
0.795 [1,0.55,0.9,0.9,0.65,1,0.55,0.95,1,0.45]
recall
0.845 [1,0.8,1,0.85,0.85,0.9,0.75,1,0.95,0.35]
recall
0.85 [1,0.75,0.9,0.95,0.7,0.95,0.7,1,1,0.55]
recall
0.84 [1,0.75,0.95,0.95,0.8,0.85,0.65,1,0.85,0.6]
recall
0.83 [1,0.7,1,1,0.65,0.9,0.45,1,1,0.6]
recall
0.795 [1,0.85,0.95,0.8,0.75,0.9,0.45,1,0.85,0.4]
relative_absolute_error
0.43922143237420586
relative_absolute_error
0.4255830610658327
relative_absolute_error
0.4361074054610169
relative_absolute_error
0.4191000533968738
relative_absolute_error
0.4316909957650459
relative_absolute_error
0.41472398064929955
relative_absolute_error
0.4263893335007973
relative_absolute_error
0.42574709183111514
relative_absolute_error
0.4133773956658586
relative_absolute_error
0.4369174309219742
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
0.1738878302557347
root_mean_squared_error
0.17336139806105316
root_mean_squared_error
0.17229818382049022
root_mean_squared_error
0.1656864667801413
root_mean_squared_error
0.1720077005285001
root_mean_squared_error
0.16447383110133848
root_mean_squared_error
0.1694831306258823
root_mean_squared_error
0.16884501024604837
root_mean_squared_error
0.16410176245020427
root_mean_squared_error
0.17497878008364334
root_relative_squared_error
0.5796261008524494
root_relative_squared_error
0.5778713268701775
root_relative_squared_error
0.5743272794016344
root_relative_squared_error
0.5522882226004713
root_relative_squared_error
0.5733590017616672
root_relative_squared_error
0.5482461036711286
root_relative_squared_error
0.5649437687529414
root_relative_squared_error
0.5628167008201616
root_relative_squared_error
0.5470058748340145
root_relative_squared_error
0.5832626002788115
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
9848.638841998763
usercpu_time_millis
11093.83068599709
usercpu_time_millis
11018.672901001992
usercpu_time_millis
11013.296105997142
usercpu_time_millis
10997.506685002008
usercpu_time_millis
10827.862570000434
usercpu_time_millis
10795.371010004601
usercpu_time_millis
10932.743359997403
usercpu_time_millis
11254.080896000232
usercpu_time_millis
10989.881338999112
usercpu_time_millis_testing
96.09971099780523
usercpu_time_millis_testing
91.59916899807286
usercpu_time_millis_testing
98.2614390013623
usercpu_time_millis_testing
91.08820599794853
usercpu_time_millis_testing
91.07459700317122
usercpu_time_millis_testing
89.48106000025291
usercpu_time_millis_testing
100.22215300341486
usercpu_time_millis_testing
91.83402199778357
usercpu_time_millis_testing
140.4957699996885
usercpu_time_millis_testing
88.81092299998272
usercpu_time_millis_training
9752.539131000958
usercpu_time_millis_training
11002.231516999018
usercpu_time_millis_training
10920.41146200063
usercpu_time_millis_training
10922.207899999194
usercpu_time_millis_training
10906.432087998837
usercpu_time_millis_training
10738.381510000181
usercpu_time_millis_training
10695.148857001186
usercpu_time_millis_training
10840.90933799962
usercpu_time_millis_training
11113.585126000544
usercpu_time_millis_training
10901.07041599913