5950749
1
Jan van Rijn
14
Supervised Classification
6970
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier))(1)
3985494
class_weight
null
6941
criterion
"gini"
6941
max_depth
6
6941
max_features
null
6941
max_leaf_nodes
null
6941
min_impurity_split
1e-07
6941
min_samples_leaf
1
6941
min_samples_split
2
6941
min_weight_fraction_leaf
0.0
6941
presort
false
6941
random_state
29405
6941
splitter
"best"
6941
axis
0
6947
categorical_features
[]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"mean"
6947
strategy_nominal
"most_frequent"
6947
verbose
0
6947
categorical_features
[]
6948
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
6948
handle_unknown
"ignore"
6948
n_values
"auto"
6948
sparse
false
6948
threshold
0.0
6949
algorithm
"SAMME.R"
6971
learning_rate
0.08865495163345932
6971
n_estimators
104
6971
random_state
36807
6971
openml-pimp
openml-python
Sklearn_0.18.1.
study_71
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
12824974
description
https://api.openml.org/data/download/12824974/description.xml
-1
12824975
predictions
https://api.openml.org/data/download/12824975/predictions.arff
area_under_roc_curve
0.9745688888888888 [1,0.965447,0.991581,0.98985,0.962281,0.991692,0.932032,0.989169,0.997908,0.925729]
average_cost
0
f_measure
0.8079420253408917 [0.997494,0.73523,0.920635,0.884817,0.771208,0.892857,0.528796,0.840206,0.953368,0.55481]
kappa
0.7816666666666666
kb_relative_information_score
1618.8851727395686
mean_absolute_error
0.04554056874413751
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8178143078364403 [1,0.653696,0.977528,0.928571,0.793651,0.911458,0.554945,0.867021,0.989247,0.502024]
predictive_accuracy
0.8035
prior_entropy
3.321928094887362
recall
0.8035 [0.995,0.84,0.87,0.845,0.75,0.875,0.505,0.815,0.92,0.62]
relative_absolute_error
0.25300315968964504
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.1738297783719173
root_relative_squared_error
0.5794325945730487
total_cost
0
area_under_roc_curve
0.969638888888889 [1,0.968056,0.988889,0.991667,0.950556,0.999722,0.917639,0.980278,0.998611,0.900972]
area_under_roc_curve
0.9748333333333333 [1,0.96,0.998611,0.975,0.961944,0.988611,0.9375,0.990556,0.999722,0.936389]
area_under_roc_curve
0.9624444444444444 [1,0.976389,0.998333,0.970556,0.942222,0.991389,0.855833,0.985278,1,0.904444]
area_under_roc_curve
0.9836944444444444 [1,0.975,0.998056,0.995278,0.986389,0.995278,0.962778,0.995278,0.999444,0.929444]
area_under_roc_curve
0.9816111111111111 [1,0.970278,1,0.988611,0.988611,0.9975,0.9425,0.987778,0.999722,0.941111]
area_under_roc_curve
0.9864166666666666 [1,0.971667,0.999722,0.997778,0.988611,0.991667,0.966667,0.991389,0.998056,0.958611]
area_under_roc_curve
0.9753611111111112 [1,0.964444,0.993611,0.999444,0.961111,0.985833,0.955,0.990278,1,0.903889]
area_under_roc_curve
0.9782500000000002 [1,0.9625,0.998056,0.990278,0.961389,0.996944,0.929444,0.993056,0.996389,0.954444]
area_under_roc_curve
0.9798888888888888 [1,0.946944,1,0.999722,0.991944,0.985833,0.945278,0.997778,1,0.931389]
area_under_roc_curve
0.9648611111111112 [1,0.976667,0.951389,0.998056,0.922778,0.991667,0.912778,0.9875,0.988611,0.919167]
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
0.8036949488508263 [1,0.693878,0.918919,0.878049,0.820513,0.947368,0.5,0.742857,0.95,0.585366]
f_measure
0.7947871617027062 [1,0.744186,0.923077,0.777778,0.769231,0.789474,0.55814,0.9,0.974359,0.511628]
f_measure
0.7470510757442722 [0.974359,0.72,0.947368,0.842105,0.648649,0.820513,0.4,0.727273,1,0.390244]
f_measure
0.8192407667407668 [1,0.681818,0.888889,0.904762,0.791667,0.918919,0.685714,0.810811,0.918919,0.590909]
f_measure
0.7732707368823521 [1,0.666667,0.918919,0.871795,0.717949,0.871795,0.344828,0.789474,0.974359,0.576923]
f_measure
0.8598311342213782 [1,0.818182,0.974359,0.918919,0.769231,0.878049,0.727273,0.926829,0.974359,0.611111]
f_measure
0.8177590445032306 [1,0.744186,0.888889,0.974359,0.756757,0.9,0.6,0.837209,1,0.47619]
f_measure
0.7978203184107652 [1,0.693878,0.894737,0.888889,0.777778,0.923077,0.526316,0.85,0.823529,0.6]
f_measure
0.86083246734723 [1,0.809524,0.947368,0.95,0.888889,0.926829,0.466667,0.952381,1,0.666667]
f_measure
0.7889700773064847 [1,0.8,0.9,0.823529,0.769231,0.95,0.421053,0.820513,0.894737,0.510638]
kappa
0.7777777777777778
kappa
0.7666666666666667
kappa
0.7111111111111111
kappa
0.7944444444444444
kappa
0.75
kappa
0.8444444444444444
kappa
0.7944444444444444
kappa
0.7666666666666667
kappa
0.85
kappa
0.7611111111111112
kb_relative_information_score
159.2942300638586
kb_relative_information_score
158.23456958009336
kb_relative_information_score
149.47335853599532
kb_relative_information_score
163.96747746570105
kb_relative_information_score
159.89083733599068
kb_relative_information_score
170.6667449965774
kb_relative_information_score
163.8271109050605
kb_relative_information_score
160.72021435069786
kb_relative_information_score
172.87395009493437
kb_relative_information_score
159.93667941065615
mean_absolute_error
0.047709263166705124
mean_absolute_error
0.04908496243874398
mean_absolute_error
0.056061801827289946
mean_absolute_error
0.04352250423145986
mean_absolute_error
0.04984495912493741
mean_absolute_error
0.03677717614839497
mean_absolute_error
0.04415176288007365
mean_absolute_error
0.048294033307592577
mean_absolute_error
0.03332458252435801
mean_absolute_error
0.046634641791819795
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
0.8173550254947713 [1,0.586207,1,0.857143,0.842105,1,0.5,0.866667,0.95,0.571429]
precision
0.8040827612509536 [1,0.695652,0.947368,0.875,0.789474,0.833333,0.521739,0.9,1,0.478261]
precision
0.7700905809017264 [1,0.6,1,0.888889,0.705882,0.842105,0.36,0.923077,1,0.380952]
precision
0.839122740005093 [1,0.625,1,0.863636,0.678571,1,0.8,0.882353,1,0.541667]
precision
0.7955383249791145 [1,0.571429,1,0.894737,0.736842,0.894737,0.555556,0.833333,1,0.46875]
precision
0.8655545112781954 [1,0.75,1,1,0.789474,0.857143,0.666667,0.904762,1,0.6875]
precision
0.8256335735875378 [1,0.695652,1,1,0.823529,0.9,0.6,0.782609,1,0.454545]
precision
0.8258575317604356 [1,0.586207,0.944444,1,0.875,0.947368,0.555556,0.85,1,0.5]
precision
0.878496718335428 [1,0.772727,1,0.95,1,0.904762,0.7,0.909091,1,0.548387]
precision
0.8034912280701754 [1,0.72,0.9,1,0.789474,0.95,0.444444,0.842105,0.944444,0.444444]
predictive_accuracy
0.8
predictive_accuracy
0.79
predictive_accuracy
0.74
predictive_accuracy
0.815
predictive_accuracy
0.775
predictive_accuracy
0.86
predictive_accuracy
0.815
predictive_accuracy
0.79
predictive_accuracy
0.865
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
0.8 [1,0.85,0.85,0.9,0.8,0.9,0.5,0.65,0.95,0.6]
recall
0.79 [1,0.8,0.9,0.7,0.75,0.75,0.6,0.9,0.95,0.55]
recall
0.74 [0.95,0.9,0.9,0.8,0.6,0.8,0.45,0.6,1,0.4]
recall
0.815 [1,0.75,0.8,0.95,0.95,0.85,0.6,0.75,0.85,0.65]
recall
0.775 [1,0.8,0.85,0.85,0.7,0.85,0.25,0.75,0.95,0.75]
recall
0.86 [1,0.9,0.95,0.85,0.75,0.9,0.8,0.95,0.95,0.55]
recall
0.815 [1,0.8,0.8,0.95,0.7,0.9,0.6,0.9,1,0.5]
recall
0.79 [1,0.85,0.85,0.8,0.7,0.9,0.5,0.85,0.7,0.75]
recall
0.865 [1,0.85,0.9,0.95,0.8,0.95,0.35,1,1,0.85]
recall
0.785 [1,0.9,0.9,0.7,0.75,0.95,0.4,0.8,0.85,0.6]
relative_absolute_error
0.265051462037251
relative_absolute_error
0.2726942357708002
relative_absolute_error
0.3114544545960556
relative_absolute_error
0.2417916901747773
relative_absolute_error
0.2769164395829859
relative_absolute_error
0.20431764526886118
relative_absolute_error
0.245287571555965
relative_absolute_error
0.2683001850421813
relative_absolute_error
0.1851365695797669
relative_absolute_error
0.25908134328788807
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
0.18211930902023274
root_mean_squared_error
0.17961669175599923
root_mean_squared_error
0.20393033305635797
root_mean_squared_error
0.16796559945105005
root_mean_squared_error
0.17747033836023718
root_mean_squared_error
0.15075956236640287
root_mean_squared_error
0.1691209535767335
root_mean_squared_error
0.17344633883455127
root_mean_squared_error
0.14578320140239515
root_mean_squared_error
0.1810410412750183
root_relative_squared_error
0.6070643634007761
root_relative_squared_error
0.5987223058533311
root_relative_squared_error
0.6797677768545269
root_relative_squared_error
0.5598853315035005
root_relative_squared_error
0.5915677945341242
root_relative_squared_error
0.5025318745546765
root_relative_squared_error
0.5637365119224453
root_relative_squared_error
0.5781544627818379
root_relative_squared_error
0.48594400467465076
root_relative_squared_error
0.6034701375833947
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
9849.438827
usercpu_time_millis
10000.186573999996
usercpu_time_millis
9960.215198000002
usercpu_time_millis
9908.329827000001
usercpu_time_millis
10118.709178999992
usercpu_time_millis
9895.541702000002
usercpu_time_millis
9985.753977
usercpu_time_millis
9962.336813000009
usercpu_time_millis
9935.058780999994
usercpu_time_millis
9886.889827000005
usercpu_time_millis_testing
33.65592900000003
usercpu_time_millis_testing
33.406442999996955
usercpu_time_millis_testing
32.859058999999746
usercpu_time_millis_testing
32.879837000002965
usercpu_time_millis_testing
33.58541199999365
usercpu_time_millis_testing
33.546820000005084
usercpu_time_millis_testing
33.033197999998265
usercpu_time_millis_testing
32.513880999999856
usercpu_time_millis_testing
32.770553000005975
usercpu_time_millis_testing
32.94710600000883
usercpu_time_millis_training
9815.782898
usercpu_time_millis_training
9966.780131
usercpu_time_millis_training
9927.356139000001
usercpu_time_millis_training
9875.44999
usercpu_time_millis_training
10085.123767
usercpu_time_millis_training
9861.994881999997
usercpu_time_millis_training
9952.720779000003
usercpu_time_millis_training
9929.822932000008
usercpu_time_millis_training
9902.288227999989
usercpu_time_millis_training
9853.942720999996