8912451
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)
6849644
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
0.5205341493580471
7684
max_leaf_nodes
null
7684
min_impurity_decrease
0.0
7684
min_impurity_split
null
7684
min_samples_leaf
14
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
18740576
description
https://api.openml.org/data/download/18740576/description.xml
-1
18740577
predictions
https://api.openml.org/data/download/18740577/predictions.arff
area_under_roc_curve
0.9792352777777779 [0.999931,0.970256,0.994331,0.98535,0.970803,0.992806,0.943547,0.991264,0.997433,0.946633]
average_cost
0
f_measure
0.8104762044585442 [0.973105,0.748768,0.940299,0.875318,0.748011,0.891089,0.545906,0.872038,0.956072,0.554156]
kappa
0.79
kb_relative_information_score
1539.6368198304076
mean_absolute_error
0.06504343079320826
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8114196769949825 [0.952153,0.737864,0.935644,0.891192,0.79661,0.882353,0.541872,0.828829,0.989305,0.558376]
predictive_accuracy
0.8109999999999999
prior_entropy
3.321928094887362
recall
0.811 [0.995,0.76,0.945,0.86,0.705,0.9,0.55,0.92,0.925,0.55]
relative_absolute_error
0.36135239329559027
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.16532066552949182
root_relative_squared_error
0.5510688850982977
total_cost
0
area_under_roc_curve
0.9792222222222222 [0.999722,0.974167,0.993611,0.992222,0.9625,0.999722,0.927222,0.990278,0.996111,0.956667]
area_under_roc_curve
0.9778611111111113 [0.999444,0.976944,0.993611,0.984167,0.954722,0.987778,0.951111,0.989444,0.994722,0.946667]
area_under_roc_curve
0.9740833333333334 [1,0.976667,0.999722,0.961667,0.972778,0.992222,0.906111,0.991944,1,0.939722]
area_under_roc_curve
0.9849166666666668 [1,0.9675,0.993056,0.993333,0.986111,0.995556,0.974722,0.995278,0.999722,0.943889]
area_under_roc_curve
0.9833333333333333 [1,0.964444,0.998889,0.995556,0.986944,0.996111,0.956944,0.99,1,0.944444]
area_under_roc_curve
0.9825833333333336 [1,0.963889,1,0.984722,0.991944,0.991667,0.948889,0.991667,0.998611,0.954444]
area_under_roc_curve
0.9809722222222222 [1,0.976944,0.986389,0.993333,0.984722,0.985833,0.963889,0.9875,1,0.931111]
area_under_roc_curve
0.9796388888888891 [1,0.971111,0.998333,0.9775,0.945556,0.996944,0.955556,0.993611,0.992778,0.965]
area_under_roc_curve
0.9799166666666665 [1,0.965278,0.999722,0.996944,0.973333,0.9875,0.938889,0.994444,1,0.943056]
area_under_roc_curve
0.9733888888888887 [1,0.973889,0.985556,0.975278,0.950278,0.996944,0.9225,0.993889,0.994444,0.941111]
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
0.8058552454187884 [0.97561,0.755556,0.926829,0.888889,0.714286,0.974359,0.432432,0.871795,0.947368,0.571429]
f_measure
0.7892503199844155 [0.926829,0.780488,0.871795,0.871795,0.702703,0.790698,0.578947,0.809524,0.974359,0.585366]
f_measure
0.7781144580111652 [1,0.697674,0.947368,0.736842,0.684211,0.829268,0.439024,0.842105,1,0.604651]
f_measure
0.8238898552392392 [1,0.684211,0.95,0.904762,0.723404,0.9,0.702703,0.820513,0.974359,0.578947]
f_measure
0.799425816992984 [0.97561,0.666667,0.974359,0.904762,0.742857,0.930233,0.5,0.826087,1,0.473684]
f_measure
0.8215022038050965 [0.97561,0.780488,0.97561,0.820513,0.756757,0.878049,0.634146,0.930233,0.923077,0.540541]
f_measure
0.8221309643265868 [0.952381,0.790698,0.923077,0.9,0.823529,0.857143,0.65,0.863636,0.974359,0.486486]
f_measure
0.8277965195838439 [1,0.731707,0.97561,0.871795,0.777778,0.894737,0.55814,0.930233,0.918919,0.619048]
f_measure
0.8480991980991982 [1,0.833333,0.952381,0.952381,0.833333,0.923077,0.486486,0.909091,1,0.590909]
f_measure
0.7865376695539311 [0.930233,0.761905,0.904762,0.888889,0.742857,0.947368,0.489796,0.909091,0.833333,0.457143]
kappa
0.7833333333333334
kappa
0.7666666666666667
kappa
0.75
kappa
0.8055555555555555
kappa
0.7833333333333334
kappa
0.8055555555555555
kappa
0.8055555555555555
kappa
0.8055555555555555
kappa
0.8333333333333333
kappa
0.7611111111111112
kb_relative_information_score
153.52303569203627
kb_relative_information_score
151.10301312311128
kb_relative_information_score
150.20803077433212
kb_relative_information_score
156.04479072076938
kb_relative_information_score
154.82510886582665
kb_relative_information_score
156.10639639097394
kb_relative_information_score
154.48760833717728
kb_relative_information_score
155.09944540675062
kb_relative_information_score
157.63467013737528
kb_relative_information_score
150.6047203820557
mean_absolute_error
0.06608676693730577
mean_absolute_error
0.06663019792329021
mean_absolute_error
0.06767733394229763
mean_absolute_error
0.0630866643425238
mean_absolute_error
0.06509166004472823
mean_absolute_error
0.06314958223283346
mean_absolute_error
0.06536581120352687
mean_absolute_error
0.0636749967735014
mean_absolute_error
0.06189392164760413
mean_absolute_error
0.06777737288447175
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
0.8129740661814965 [0.952381,0.68,0.904762,1,0.681818,1,0.470588,0.894737,1,0.545455]
precision
0.7915243623279697 [0.904762,0.761905,0.894737,0.894737,0.764706,0.73913,0.611111,0.772727,1,0.571429]
precision
0.7844375431331954 [1,0.652174,1,0.777778,0.722222,0.809524,0.428571,0.888889,1,0.565217]
precision
0.8283410472110162 [1,0.722222,0.95,0.863636,0.62963,0.9,0.764706,0.842105,1,0.611111]
precision
0.8033018430844518 [0.952381,0.75,1,0.863636,0.866667,0.869565,0.5,0.730769,1,0.5]
precision
0.8213660750341325 [0.952381,0.761905,0.952381,0.842105,0.823529,0.857143,0.619048,0.869565,0.947368,0.588235]
precision
0.8284850014480516 [0.909091,0.73913,0.947368,0.9,1,0.818182,0.65,0.791667,1,0.529412]
precision
0.8363061391951551 [1,0.714286,0.952381,0.894737,0.875,0.944444,0.521739,0.869565,1,0.590909]
precision
0.8544962003940333 [1,0.9375,0.909091,0.909091,0.9375,0.947368,0.529412,0.833333,1,0.541667]
precision
0.8045100745082004 [0.869565,0.727273,0.863636,1,0.866667,1,0.413793,0.833333,0.9375,0.533333]
predictive_accuracy
0.805
predictive_accuracy
0.79
predictive_accuracy
0.775
predictive_accuracy
0.825
predictive_accuracy
0.805
predictive_accuracy
0.825
predictive_accuracy
0.825
predictive_accuracy
0.825
predictive_accuracy
0.85
predictive_accuracy
0.785
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 [1,0.85,0.95,0.8,0.75,0.95,0.4,0.85,0.9,0.6]
recall
0.79 [0.95,0.8,0.85,0.85,0.65,0.85,0.55,0.85,0.95,0.6]
recall
0.775 [1,0.75,0.9,0.7,0.65,0.85,0.45,0.8,1,0.65]
recall
0.825 [1,0.65,0.95,0.95,0.85,0.9,0.65,0.8,0.95,0.55]
recall
0.805 [1,0.6,0.95,0.95,0.65,1,0.5,0.95,1,0.45]
recall
0.825 [1,0.8,1,0.8,0.7,0.9,0.65,1,0.9,0.5]
recall
0.825 [1,0.85,0.9,0.9,0.7,0.9,0.65,0.95,0.95,0.45]
recall
0.825 [1,0.75,1,0.85,0.7,0.85,0.6,1,0.85,0.65]
recall
0.85 [1,0.75,1,1,0.75,0.9,0.45,1,1,0.65]
recall
0.785 [1,0.8,0.95,0.8,0.65,0.9,0.6,1,0.75,0.4]
relative_absolute_error
0.3671487052072547
relative_absolute_error
0.3701677662405016
relative_absolute_error
0.3759851885683206
relative_absolute_error
0.35048146856957707
relative_absolute_error
0.36162033358182394
relative_absolute_error
0.3508310124046307
relative_absolute_error
0.3631433955751497
relative_absolute_error
0.3537499820750082
relative_absolute_error
0.34385512026446774
relative_absolute_error
0.3765409604692879
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
0.16683916148703792
root_mean_squared_error
0.1736916743321146
root_mean_squared_error
0.17471504066622154
root_mean_squared_error
0.16013108059360007
root_mean_squared_error
0.16368846006161863
root_mean_squared_error
0.15926125473936323
root_mean_squared_error
0.16417435003216724
root_mean_squared_error
0.1614353418143631
root_mean_squared_error
0.1572133111906138
root_mean_squared_error
0.1710238034217867
root_relative_squared_error
0.5561305382901268
root_relative_squared_error
0.5789722477737156
root_relative_squared_error
0.5823834688874054
root_relative_squared_error
0.533770268645334
root_relative_squared_error
0.5456282002053957
root_relative_squared_error
0.5308708491312111
root_relative_squared_error
0.5472478334405578
root_relative_squared_error
0.5381178060478773
root_relative_squared_error
0.5240443706353797
root_relative_squared_error
0.5700793447392893
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
36119.66729500091
usercpu_time_millis
35508.44377900012
usercpu_time_millis
36171.81183100001
usercpu_time_millis
35872.760365999966
usercpu_time_millis
35802.39456700019
usercpu_time_millis
36346.60576600072
usercpu_time_millis
36030.810045999715
usercpu_time_millis
37024.93403400058
usercpu_time_millis
36210.92696899996
usercpu_time_millis
36380.82655800099
usercpu_time_millis_testing
89.77534800033027
usercpu_time_millis_testing
88.94188700014638
usercpu_time_millis_testing
89.41076200062525
usercpu_time_millis_testing
88.08723099991767
usercpu_time_millis_testing
99.71763500016095
usercpu_time_millis_testing
88.3481490000122
usercpu_time_millis_testing
90.1838729996598
usercpu_time_millis_testing
89.13114900042274
usercpu_time_millis_testing
87.85639500001707
usercpu_time_millis_testing
96.82221800085244
usercpu_time_millis_training
36029.89194700058
usercpu_time_millis_training
35419.50189199997
usercpu_time_millis_training
36082.40106899939
usercpu_time_millis_training
35784.67313500005
usercpu_time_millis_training
35702.67693200003
usercpu_time_millis_training
36258.25761700071
usercpu_time_millis_training
35940.626173000055
usercpu_time_millis_training
36935.80288500016
usercpu_time_millis_training
36123.07057399994
usercpu_time_millis_training
36284.00434000014