8917069
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)
6854066
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
0.9297663074028629
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
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
18749768
description
https://api.openml.org/data/download/18749768/description.xml
-1
18749769
predictions
https://api.openml.org/data/download/18749769/predictions.arff
area_under_roc_curve
0.965871388888889 [0.999111,0.942789,0.982879,0.967403,0.947418,0.983653,0.925967,0.985864,0.992406,0.931225]
average_cost
0
f_measure
0.7624469661707393 [0.968215,0.669746,0.883838,0.818428,0.671717,0.80916,0.525301,0.812065,0.926316,0.539683]
kappa
0.735
kb_relative_information_score
1485.5389957869972
mean_absolute_error
0.06478936698355144
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7673803897604025 [0.947368,0.622318,0.892857,0.893491,0.678571,0.823834,0.506977,0.757576,0.977778,0.573034]
predictive_accuracy
0.7615000000000001
prior_entropy
3.321928094887362
recall
0.7615 [0.99,0.725,0.875,0.755,0.665,0.795,0.545,0.875,0.88,0.51]
relative_absolute_error
0.3599409276863858
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.18358433715322545
root_relative_squared_error
0.6119477905107421
total_cost
0
area_under_roc_curve
0.9713888888888889 [0.998889,0.956944,0.980556,0.971111,0.959722,0.9975,0.924722,0.983056,0.994167,0.947222]
area_under_roc_curve
0.9660000000000001 [0.997778,0.964722,0.961667,0.974167,0.9275,0.978889,0.947778,0.980278,0.986111,0.941111]
area_under_roc_curve
0.9584861111111111 [1,0.940278,0.993889,0.946944,0.937778,0.976944,0.894028,0.977778,1,0.917222]
area_under_roc_curve
0.970972222222222 [1,0.928611,0.985278,0.991111,0.960278,0.994722,0.945556,0.985,0.998056,0.921111]
area_under_roc_curve
0.9766944444444445 [1,0.946667,0.998333,0.986389,0.974444,0.985556,0.945278,0.991111,0.997222,0.941944]
area_under_roc_curve
0.9710277777777777 [0.999167,0.936667,1,0.952778,0.970556,0.988611,0.929167,0.992778,0.993056,0.9475]
area_under_roc_curve
0.9680972222222222 [0.999444,0.968889,0.960833,0.976944,0.966667,0.9775,0.955556,0.985,0.998056,0.892083]
area_under_roc_curve
0.9659027777777779 [1,0.955139,0.992222,0.956111,0.907778,0.992222,0.931111,0.993333,0.978611,0.9525]
area_under_roc_curve
0.967861111111111 [1,0.906111,0.998889,0.995,0.965556,0.964167,0.919722,0.989167,1,0.94]
area_under_roc_curve
0.953125 [0.999722,0.937222,0.970139,0.946667,0.923611,0.990278,0.8825,0.992778,0.973333,0.915]
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
0.7580156628484298 [0.952381,0.693878,0.829268,0.823529,0.651163,0.864865,0.512821,0.717949,0.918919,0.615385]
f_measure
0.7700581338759035 [0.904762,0.731707,0.8,0.842105,0.666667,0.780488,0.680851,0.780488,0.918919,0.594595]
f_measure
0.738450189820903 [1,0.604651,0.918919,0.742857,0.652174,0.829268,0.465116,0.722222,0.97561,0.473684]
f_measure
0.7751930929579806 [1,0.604651,0.883721,0.842105,0.695652,0.8,0.611111,0.772727,0.947368,0.594595]
f_measure
0.734534404554735 [0.97561,0.55,0.894737,0.820513,0.606061,0.744186,0.55814,0.77551,0.95,0.470588]
f_measure
0.7857586539665532 [0.97561,0.75,0.952381,0.756757,0.65,0.857143,0.52381,0.930233,0.947368,0.514286]
f_measure
0.7650926920108081 [0.952381,0.693878,0.833333,0.864865,0.727273,0.772727,0.55814,0.8,0.918919,0.529412]
f_measure
0.77555409962021 [0.974359,0.625,0.894737,0.85,0.702703,0.833333,0.52381,0.909091,0.857143,0.585366]
f_measure
0.7699202847675052 [1,0.727273,0.952381,0.871795,0.666667,0.736842,0.352941,0.826087,1,0.565217]
f_measure
0.7428131183959121 [0.952381,0.723404,0.871795,0.75,0.7,0.888889,0.434783,0.863636,0.810811,0.432432]
kappa
0.7277777777777777
kappa
0.7444444444444445
kappa
0.7055555555555556
kappa
0.75
kappa
0.7111111111111111
kappa
0.7666666666666667
kappa
0.7388888888888889
kappa
0.7444444444444445
kappa
0.75
kappa
0.7111111111111111
kb_relative_information_score
148.71297933021623
kb_relative_information_score
146.83939424314252
kb_relative_information_score
141.7898244392265
kb_relative_information_score
150.4105122765354
kb_relative_information_score
150.48609044921383
kb_relative_information_score
150.84013579791292
kb_relative_information_score
149.43416547347533
kb_relative_information_score
150.82583342785935
kb_relative_information_score
153.752790348752
kb_relative_information_score
142.44727000066325
mean_absolute_error
0.06480507233687369
mean_absolute_error
0.0655849012515075
mean_absolute_error
0.06861112492039521
mean_absolute_error
0.06291362417172083
mean_absolute_error
0.06374847430987757
mean_absolute_error
0.0634949401469213
mean_absolute_error
0.06406594959120743
mean_absolute_error
0.0620258190983747
mean_absolute_error
0.06147864848894055
mean_absolute_error
0.07116511551969601
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
0.7749430580033854 [0.909091,0.586207,0.809524,1,0.608696,0.941176,0.526316,0.736842,1,0.631579]
precision
0.7780271906742494 [0.863636,0.714286,0.8,0.888889,0.75,0.761905,0.592593,0.761905,1,0.647059]
precision
0.7517994505494505 [1,0.565217,1,0.866667,0.576923,0.809524,0.434783,0.8125,0.952381,0.5]
precision
0.7871803342295669 [1,0.565217,0.826087,0.888889,0.615385,0.933333,0.6875,0.708333,1,0.647059]
precision
0.7452153718783562 [0.952381,0.55,0.944444,0.842105,0.769231,0.695652,0.521739,0.655172,0.95,0.571429]
precision
0.787274830880969 [0.952381,0.75,0.909091,0.823529,0.65,0.818182,0.5,0.869565,1,0.6]
precision
0.7889980805933051 [0.909091,0.586207,0.9375,0.941176,0.923077,0.708333,0.521739,0.72,1,0.642857]
precision
0.7937126517273576 [1,0.535714,0.944444,0.85,0.764706,0.9375,0.5,0.833333,1,0.571429]
precision
0.7800386747755169 [1,0.923077,0.909091,0.894737,0.636364,0.777778,0.428571,0.730769,1,0.5]
precision
0.766268060857844 [0.909091,0.62963,0.894737,1,0.7,1,0.384615,0.791667,0.882353,0.470588]
predictive_accuracy
0.755
predictive_accuracy
0.77
predictive_accuracy
0.735
predictive_accuracy
0.775
predictive_accuracy
0.74
predictive_accuracy
0.79
predictive_accuracy
0.765
predictive_accuracy
0.77
predictive_accuracy
0.775
predictive_accuracy
0.74
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
0.755 [1,0.85,0.85,0.7,0.7,0.8,0.5,0.7,0.85,0.6]
recall
0.77 [0.95,0.75,0.8,0.8,0.6,0.8,0.8,0.8,0.85,0.55]
recall
0.735 [1,0.65,0.85,0.65,0.75,0.85,0.5,0.65,1,0.45]
recall
0.775 [1,0.65,0.95,0.8,0.8,0.7,0.55,0.85,0.9,0.55]
recall
0.74 [1,0.55,0.85,0.8,0.5,0.8,0.6,0.95,0.95,0.4]
recall
0.79 [1,0.75,1,0.7,0.65,0.9,0.55,1,0.9,0.45]
recall
0.765 [1,0.85,0.75,0.8,0.6,0.85,0.6,0.9,0.85,0.45]
recall
0.77 [0.95,0.75,0.85,0.85,0.65,0.75,0.55,1,0.75,0.6]
recall
0.775 [1,0.6,1,0.85,0.7,0.7,0.3,0.95,1,0.65]
recall
0.74 [1,0.85,0.85,0.6,0.7,0.8,0.5,0.95,0.75,0.4]
relative_absolute_error
0.3600281796492987
relative_absolute_error
0.3643605625083754
relative_absolute_error
0.38117291622441823
relative_absolute_error
0.34952013428733836
relative_absolute_error
0.3541581906104313
relative_absolute_error
0.3527496674828965
relative_absolute_error
0.355921942173375
relative_absolute_error
0.34458788387985984
relative_absolute_error
0.3415480471607812
relative_absolute_error
0.39536175288720043
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
0.18286638573688302
root_mean_squared_error
0.18917236354378464
root_mean_squared_error
0.19764484272209248
root_mean_squared_error
0.17864328879198668
root_mean_squared_error
0.17986532077298525
root_mean_squared_error
0.17651665742894243
root_mean_squared_error
0.18213233055701555
root_mean_squared_error
0.17807000673365075
root_mean_squared_error
0.1742094688827296
root_mean_squared_error
0.1951644580509227
root_relative_squared_error
0.6095546191229437
root_relative_squared_error
0.6305745451459491
root_relative_squared_error
0.6588161424069753
root_relative_squared_error
0.5954776293066226
root_relative_squared_error
0.5995510692432846
root_relative_squared_error
0.5883888580964751
root_relative_squared_error
0.6071077685233854
root_relative_squared_error
0.5935666891121695
root_relative_squared_error
0.580698229609099
root_relative_squared_error
0.6505481935030761
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
121235.65444799169
usercpu_time_millis
82149.9743480017
usercpu_time_millis
60107.86957000528
usercpu_time_millis
61179.72244900011
usercpu_time_millis
60152.538876005565
usercpu_time_millis
61805.269511001825
usercpu_time_millis
60688.490262000414
usercpu_time_millis
61032.561231004365
usercpu_time_millis
59975.68764200696
usercpu_time_millis
61372.04951699823
usercpu_time_millis_testing
184.23027499375166
usercpu_time_millis_testing
88.21153899771161
usercpu_time_millis_testing
88.84297699842136
usercpu_time_millis_testing
90.57284099981189
usercpu_time_millis_testing
86.25279300031252
usercpu_time_millis_testing
88.25832499860553
usercpu_time_millis_testing
127.20876499952283
usercpu_time_millis_testing
88.3182140023564
usercpu_time_millis_testing
93.05538500484545
usercpu_time_millis_testing
87.33211900107563
usercpu_time_millis_training
121051.42417299794
usercpu_time_millis_training
82061.762809004
usercpu_time_millis_training
60019.026593006856
usercpu_time_millis_training
61089.1496080003
usercpu_time_millis_training
60066.28608300525
usercpu_time_millis_training
61717.01118600322
usercpu_time_millis_training
60561.28149700089
usercpu_time_millis_training
60944.24301700201
usercpu_time_millis_training
59882.632257002115
usercpu_time_millis_training
61284.717397997156